Product Manager jobs in Israel

About Spin.AI Spin.AI is a global SaaS security company based in Palo Alto, CA, protecting enterprises from SaaS ransomware, Shadow IT, non-compliance, data loss, and data leak disasters in the cloud. SpinOne is an all-in-one SaaS data protection platform built for mission-critical applications such as Google Workspace, Microsoft 365, Salesforce, Slack, and Atlassian. We deliver the most innovative last line of cyber defense, along with SaaS data management and protection, for more than 2,000 organizations worldwide. Learn more at https://spin.ai/ Position Summary: Spin.AI is looking for a Director of Product Management to lead our security product portfolio and take it to the next level. You will own two strategic, fast-growing products - our Browser Security solution and our SaaS DLP solution - and be the driving force behind their success in the market. This is an end-to-end leadership role: you will define the product vision, own the roadmap, stay ahead of the competitive landscape, and work hand-in-hand with engineering teams to turn strategy into products customers love. Above all, you will lead these products to scale - growing adoption, revenue and market position. If you are a business-minded product leader with deep security expertise who thrives in a fast-paced, high-growth environment, we want to talk to you. Role and Responsibilities: Product Vision, Strategy and Roadmap: • Own the product vision and long-term strategy, aligned with market trends, customer needs, and business objectives. • Conduct market research, competitive analysis, and customer interviews to identify product opportunities and define the product roadmap. • Collaborate with the executive team to prioritize features, releases, and investment areas. Customer Insight and Requirements: • Work closely with customers, sales, marketing, and other stakeholders to understand their needs, pain points, and desired outcomes. • Translate customer requirements into detailed product requirements, user stories, and acceptance criteria. • Collaborate with engineering and design teams to ensure the feasibility and usability of product features. Product Development and Execution: • Collaborate with cross-functional teams, including engineering, design, quality assurance, and operations, to develop and deliver high-quality products on time and within budget. • Lead agile product development processes, including sprint planning, backlog grooming, and release management. • Conduct regular product reviews, track progress, and address any issues or obstacles that arise during the development cycle. Market and Competitive Analysis: • Stay up-to-date with cybersecurity industry trends, market dynamics, and competitive landscape. • Conduct competitive analysis to identify differentiation opportunities and inform product positioning and pricing strategies. • Monitor customer feedback and market demands to continuously improve and evolve the product offerings. Product Launch and Go-to-Market: • Partner with marketing and sales on go-to-market strategy, including positioning, messaging, pricing and sales enablement. • Support product launches, customer demonstrations, webinars and training sessions. Product Performance and Optimization: • Monitor product performance and key metrics, analyze user feedback, and identify areas for improvement and optimization. • Collaborate with customer success teams to gather customer insights, track product usage, and gather feedback for future iterations. • Work with engineering teams to prioritize and address bug fixes, enhancements, and feature requests. Qualifications: • 7+ years of experience in product management roles at security companies. • Proven experience leading a Browser Security product. • At least one role leading a product at a fast-growing startup. • Experience leading the integration of multiple products into a unified platform or offering - a strong plus. • Strong understanding of cybersecurity concepts, technologies and market trends, familiarity with DLP and SaaS security - a strong plus. • Very strong business orientation - the ability to connect product decisions to revenue, growth and customer value. • Excellent analytical and problem-solving skills, with the ability to translate complex technical concepts into user-friendly solutions. • Track record of working closely with engineering teams and delivering high-quality products on time. • Strong leadership, collaboration and communication skills, with the ability to influence executives and cross-functional teams. • Familiarity with agile development methodologies and product management best practices and tools. • Bachelor’s degree in computer science, engineering, business or a related field (or equivalent experience). MBA preferred. Why join Spin.AI? This is an incredible opportunity to join a fast-paced team with high growth potential to become a new unicorn or decacorn within the next few years. Dream team of highly motivated and talented people, ambitious goals and challenges that require high analytical, management and communication skills. EEO Statement Equal Opportunity Employer Spin.AI is proud to be an equal opportunity employer and is committed to maintaining a diverse and inclusive work environment. All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, genetic information, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws. View The EEO is the Law poster and its supplement. Disability Accommodation For individuals with disabilities that need additional assistance at any point in the application and interview process, please contact our HR Manager, Shushan Akopian via [email protected].

We are looking for an experienced Technical Product Manager with strong hands-on experience writing engineering-grade specifications, to work deeply on a complex B2B SaaS platform. In this role, you will be responsible for translating product needs into precise technical specifications, working closely with engineering teams throughout development. This role is not focused on outbound activity or broad strategic positioning — it is a deeply hands-on position centered on getting into the details and working internally across departments to take ideas from concept to execution. Key Responsibilities • Product Requirements (PRD): Write detailed, engineering-level Product Requirement Documents, including functional logic, edge cases, technical dependencies, and clear specifications for implementation by R&D. • User Experience (UX): Hands-on involvement in the UX design process, ensuring specifications are intuitive, technically implementable, and meet high usability standards. • Collaboration with R&D: Work closely with engineers to clarify specifications, resolve technical questions during development, and ensure implementation matches the original intent of the spec. • Data Analysis: Use data analytics to inform product decisions and measure the impact of product changes. Qualifications • Experience: Proven track record in product specification within a B2B environment, particularly SaaS Gaming\trading Experience with complex systems is essential. • Proven previous experience working closely with RND teams • Technical Skills: Hands-on experience building roadmaps and writing engineering-level Product Requirement Documents (PRDs) – required. • Hands-on experience with UX design – required. • AI Proficiency: Knowledge and hands-on experience using AI tools for product specification and product management (e.g., AI-assisted PRD writing, roadmap planning, and analysis) – a plus. • Familiarity with SaaS product development processes. • Experience in data analysis – a plus. • Problem-Solving: Exceptional problem-solving skills, with analytical and creative thinking to translate complex problems into clear technical specifications. • Technical Communication: Strong ability to communicate and translate complex requirements between technical and non-technical stakeholders.

Description The Director of Product Management is responsible for defining and executing Webbing's product strategy while leading a team of Product Managers. This role combines strategic thinking with operational excellence to ensure successful delivery of products that create measurable customer and business value. The Director will work closely with Engineering, Core Network team, Sales, Customer Success, Operations, Marketing, Finance, and executive leadership to build products that support Webbing's growth strategy and strengthen its position as a global connectivity provider. This leader will also champion the adoption of AI across both customer-facing products and internal product management processes. Key Responsibilities · Define and communicate the product vision and multi-year strategy aligned with Webbing's business objectives. · Translate customer insights into product opportunities. · Conduct market and competitive analysis to inform strategic decisions. · Lead the product manager team 4-5 product managers · Track product adoption, customer satisfaction, revenue contribution, and commercial success. · Partner with Sales and Marketing on successful product launches. · Define Webbing's AI product strategy across internal and external products. · Drive the adoption of AI tools to improve Product Management efficiency. Requirements · Bachelor's degree in Computer Science, Engineering, Information Systems, Business, or a related field. · MBA is an advantage. · 10+ years of Product Management experience, including at least 4 years leading Product Managers. · Proven experience managing enterprise software, SaaS, cloud platforms, telecommunications, connectivity, IoT, or mobile technologies. · Proven experience with AI tools and building AI based product · Strong technical understanding with the ability to collaborate effectively with engineering teams. · Experience managing complex product roadmaps and multiple concurrent initiatives. · Strong analytical and strategic thinking capabilities. · Excellent communication and stakeholder management skills. Preferred Experience · Experience in IoT Connectivity, eSIM, MVNO, Enterprise Mobility, or telecommunications. · Experience working with global B2B customers. · Experience building AI-enabled products. · Experience with Product Analytics and experimentation. About Webbing Webbing is a leading global connectivity provider delivering innovative IoT, Enterprise Mobility, Travel eSIM, and MVNO solutions. We enable enterprises, service providers, and mobile operators to connect millions of devices and users worldwide through our cloud-native connectivity platform, advanced network technologies, and digital customer experiences. We are looking for an experienced Director of Product Management to lead our Product Management organization, define the product strategy, and drive execution across multiple product lines. What we offer • Parking • Medical insurance • Food allowance • Cellular plan • Unlimited data plan for traveling • Discount memberships • Professional development budget • Global company- working and collaborating with amazing people around the world • Fun working environment & company activities • And of course, air hockey, pool table, and ping-pong tournaments!

Description AI moved attackers faster than human-paced defense cycles can absorb, and pushed exposure data past what any team can triage by hand. Our platform runs AI agents that investigate on their own, verify whether existing controls neutralize the risk, and return a validated case with root cause, owner and remediation. How those agents earn a security team's trust - what they decide alone, what they escalate, what evidence they show - is unsettled across the industry, and what gets built now sets the pattern. Security teams own thirty tools and still can't say which threats those tools actually stop. Nagomi answers that question. We connect read-only to the stack a company already runs - CrowdStrike, Microsoft, Okta, Qualys, 40+ more - and build a live model of what's exploitable, what's already covered, and what to fix first. As the Product Manager, you'll own a key domain of the platform end-to-end: vision, strategy, roadmap, specs, delivery, adoption. Direct work with CISOs, detection engineers and SOC teams, and what you decide from those conversations ships. Reports to the VP Product. Responsibilities: • Set the strategy and roadmap for your domain, and own what it delivers. You decide what gets built, what waits, and what we drop. • Spend real time with customers and prospects. Sit in their environment, watch how their team works, find the problem behind the request. • Write the specs and work with engineering and design through delivery. Stay in it until it ships and people use it. • Build the narrative for what you ship - the value story a CISO repeats to their board, not a feature list. Sales, marketing and CS should be able to sell it from your words. • Bring your product to market with sales and marketing, then track adoption and come back with the next round of decisions. • Watch the market: competitors, new threats, how CTEM and agentic security keep shifting. Turn that into where we go next. Requirements • 4+ years in product management, with at least 2 building cybersecurity products. • Strong technical background. You can go deep with engineers on architecture and trade-offs, and hold your position. • A track record of products that practitioners kept using - measured by daily use, not by the logo count. • Works well across R&D, sales, marketing and customers - different people, different languages, same goal. • Builds narrative. Sells the value, not the feature. • Writes clearly, decides with incomplete information. It’s nice if you have • Hands-on background in security operations, detection engineering or offensive security is a plus.

Description KELA provides Intelligence-Driven Threat Exposure Management solutions, empowering organizations to detect, monitor, and mitigate external threats before they materialize. Our platform combines proprietary intelligence collection with automation and AI-driven cyber analyst agents to deliver actionable insights at scale. KELA serves a global customer base that includes enterprises, MSSPs, governments, and law enforcement agencies, helping them stay ahead of dynamic cyber risks. What You’ll Be Doing: · Own the full product lifecycle of multiple platform modules - from ideation and validation to delivery, launch, and iteration. Both from zero to one and from one to 100. · Partner closely with R&D to translate priorities into clear, executable development plans. · Define and prioritize new features, workflows, and use cases based on user insights, industry trends, and data. · Analyze product usage data, competitive trends, and threat intelligence developments to inform decisions. · Work with internal stakeholders (e.g., Solutions Engineering, Customer Success, Threat Research) to ensure product-market fit and drive innovation. · Support Sales and Marketing teams with go-to-market efforts, demos, and product positioning. · Engage directly with customers to gather feedback, present roadmaps, and drive adoption. Requirements Requirements: · 5+ years of product management experience in B2B, B2B2C, or B2G SaaS environments, preferably in cybersecurity or threat intelligence domains. · Proven experience building and executing product roadmaps in startup or high-growth environments. · Strong user empathy with a customer-centric approach to UX/UI, specifically focused on improving the user experience and workflows, reducing cognitive load in complex security workflows and dashboards. · Excellent collaboration skills with the ability to work cross-functionally across engineering, research, and go-to-market teams. · Full professional proficiency in English and Hebrew, with strong communication skills and experience presenting to clients, conducting webinars, and leading feedback sessions. · Proven experience leading data-rich product initiatives (e.g., threat intel feeds, dashboards, analytics), with a strong analytical mindset. Must be highly analytical and comfortable working hands-on with databases, queries, scripting, and data visualization tools to explore data, validate hypotheses, and support decision-making in a fast-paced threat environment. Great advantage: · Familiarity with cyber threat intelligence (CTI), threat research, and related standards and frameworks (e.g., MITRE ATT&CK, STIX/TAXII), including hands-on experience with CTI platforms or attack surface monitoring tools. · Experience with integrations into SOC/SIEM/SOAR platforms. · Familiarity with agentic AI concepts or AI assistants for cyber operations. Why KELA? · Make a real impact by building threat intelligence products used by leading governments, MSSPs, and enterprises around the world. · Join a fast-moving, mission-driven company at the forefront of cybersecurity innovation. · Collaborate with a world-class team of researchers, engineers, and threat intelligence professionals. ·Enjoy competitive compensation, meaningful work, and a flexible hybrid work model based in our Tel Aviv HQ.

Who are we? BlazePod is an innovative sports-technology leader dedicated to revolutionizing how athletes, fitness enthusiasts, and trainers enhance performance. Our cutting-edge ecosystem seamlessly integrates hardware and software, leveraging a high-performance mobile application to deliver dynamic, interactive training experiences that empower users worldwide to reach their peak potential. What are we looking for? We are seeking a visionary and results-driven Senior Product Manager to drive the evolution and expansion of our product ecosystem, with a primary focus on our mobile platform. In this role, you will define product strategy, champion user-centric innovation, and integrate next-generation capabilities to shape the future of sports and fitness technology. This position reports directly to the Chief Product Officer (CPO). What will you do? Product Strategy & Vision Define, articulate, and execute the product vision, strategy, and roadmap aligned with long-term business objectives and key performance indicators. Conduct rigorous market research, competitive analysis, and user feedback synthesis to identify high-impact growth opportunities. Product Execution & Lifecycle Management Partner with cross-functional R&D, engineering, UI/UX, and QA teams to prioritize, scope, and deliver high-quality features. Author comprehensive product specifications, user stories, and acceptance criteria with a focus on seamless mobile user experience. Maintain a predictable, high-velocity release cycle ensuring quality, scalability, and performance. User Experience & Analytics Analyze product usage metrics, retention funnels, and qualitative research to continually optimize app engagement. Establish critical KPIs and operational metrics to measure feature success and evaluate business impact. Monetization & Cross-Functional Leadership Take full end-to-end ownership of your product domain, driving execution and decision-making to meet defined KPIs and success goals, which you will define together with the CPO based on the company strategy. Drive monetization initiatives and subscription models to ensure strong, scalable revenue growth. Requirements 4-6 years of product management experience delivering successful B2C products/apps in a high-growth startup or tech environment. Proven track record of managing end-to-end mobile app lifecycles across iOS and Android platforms. Demonstrated success leading cross-functional Agile squads to launch impact-driven products. Strong analytical capabilities with deep experience in A/B testing, user funnels, and data analytics tools. Proven ability to drive full end-to-end domain ownership and execution based on defined KPIs and success goals under executive leadership. Exceptional UX/UI sensibilities with a strong focus on building user-centric, intuitive interfaces. Proficiency in leveraging AI tools to enhance personal and team efficiency. Outstanding written and verbal communication skills in both English and Hebrew. Nice-to-Haves (Bonus) Hands-on experience integrating Generative AI features into product workflows and user experiences. Passion for sports and fitness, with prior experience working in Health/Fitness tech, IoT, or a connected hardware/software ecosystem. What We Offer Hybrid Work Model: We value flexibility and collaboration, offering a hybrid work environment to balance focused time and team connection. Impactful Work: The opportunity to shape a product that directly enhances the performance and health of athletes worldwide. Professional Growth: Be part of a dynamic, high-growth environment where you can develop your skills and advance your career.

Fin, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? In AI, proximity to customer reality is the moat. Even the best model doesn't run itself: it takes someone who gets close enough to a customer's business to make it work, and that closeness doesn't happen on its own. That's where the Forward Deployed Product Manager comes in. You'll work directly with our biggest customers at the moments that matter most in their journey with Fin, whether that's proving out value in an evaluation, getting a deployment live, or expanding what's possible once it's working, and get them to real, measurable success with Fin faster than they'd get there on their own. What you learn with them feeds back into the product, so every customer after them gets there faster and better too. This is a very novel role in the industry, still being shaped, and you'll help sharpen what great looks like at Fin: evolving the playbooks, and shaping how we win and deliver on our biggest, highest-stakes deals. This is a high-ownership, high-visibility role for a PM who wants real time with customers and hands-on time with the product, and who's comfortable making progress before every answer is known. What will I be doing? Own outcomes for a portfolio of strategic customers deploying Fin. Understand their business, their support operation, and their technical environment well enough that the deployment plan you propose earns trust immediately. Run the full arc yourself. Pitch and demo Fin, scope the solution, hands-on configure it (including custom development if required), and unblock whatever gets in the way, whether that's a product gap, a technical integration, or a cross-functional snag. Be the AI expert in the room. Customers should leave every conversation with you knowing more about how to get outstanding results from Fin. Partner tightly with Sales, Success, and R&D so each deployment feels like one team to the customer, not a relay race. Turn what you learn in the field into product. Bring specific, evidence-backed input, not just feature requests, to shape the roadmap. Build the playbook as you go: the deployment patterns, templates, and best practices that make the next ten deployments faster than the first. Help define what Forward Deployed PM means at Fin. It's a very novel role across the industry, still being shaped, and you'll help sharpen what it looks like here. Success in this role looks like your customers thriving with Fin, and the product getting sharper because of what you learned from them. It's product management at its core, not solutions engineering, customer success, or professional services. What skills do I need? Experience: No minimum years required. We care about impact, drive, and potential, evidenced through the skills below, not tenure. Customer obsession: Deep empathy paired with a bias for action. You're motivated by solving the real problem and delivering measurable results. Communication & storytelling: You can pitch Fin to a room of executives, then get into the technical weeds with their engineers, adjusting depth and tone without losing either audience. Technical fluency: You're able to talk to engineers and customers about modern tech stack, from APIs and SaaS infrastructure to LLMs and low-code tooling. You're comfortable onboarding a customer into more technical product setups. Evidence-based thinking: You use data, not anecdotes, to make the case for a deployment plan or a roadmap bet, and you're comfortable pulling and interpreting data (conversation logs, usage, CX metrics) to find the story. Cross-functional influence: You navigate organizational boundaries easily, and bring people together to get the best outcome for customers and Fin. Comfort with ambiguity: You thrive in fast-changing, undefined environments, switching fluidly between big-picture strategy and in-the-weeds execution. Operational rigor: You're highly organized and structured, managing multiple deployments and priorities without becoming reactive, and you know when a moment calls for speed versus polish. Even better if you have: Experience building product for enterprise customers; Startup or B2B SaaS experience; Background in technical consulting, solutions engineering, or customer success. Unleash Your Potential When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what's possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers. Fin has a hybrid working policy. We expect employees to be in the office at least three days per week. Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment.

About PointFive PointFive finds the cost buried inside enterprise infrastructure, from the cloud to coding agents. We pioneered DeepWaste across cloud and data platforms, and we are now doing the same for AI token spend with TokenShift. Fanatics, H&M, Hertz, Nubank, Citizens Bank and other Fortune 500 companies use PointFive to see and cut what their infrastructure and AI actually cost. We have raised $96 million, most recently a $60 million Series B led by Accel. Engineering sits in Tel Aviv and our go-to-market team is focused on North America. PointFive Labs, our research arm, publishes original work on how infrastructure and AI actually get paid for. CRN named us one of the 10 hottest cloud computing startups of 2026, Forbes Israel put us on its Next Billion Dollar Startups list, and Redpoint selected us for its InfraRed 100, its ranking of the private companies shaping the future of cloud infrastructure. About the Role We're looking for a Senior Product Manager to own TokenShift, PointFive's product for finding and cutting wasted AI token spend. This is a chance to define product strategy for a brand-new category, working hands-on with R&D on how AI agents and LLM models actually run, get monitored, and get paid for in production. You'll take TokenShift from early adoption to a core pillar of PointFive's platform, alongside our flagship DeepWaste product. What You'll Do • Own the product strategy and roadmap for TokenShift, from discovery through GA and beyond. • Translate a deep technical understanding of how AI agents and LLM workloads run — inference calls, endpoints, agent harnesses and orchestration — into requirements R&D can build against. • Partner with R&D, design, and data science to scope, prioritize, and ship features that surface and reduce AI token waste. • Work directly with enterprise customers and prospects to understand how they deploy AI agents in production and where their cost and visibility gaps are. • Define and track success metrics — adoption, cost savings, detection accuracy — and use them to drive roadmap decisions. • Collaborate with go-to-market teams on positioning, messaging, and launch plans for new capabilities. • Stay current on the landscape: coding agents and harnesses, LLM gateways and routers, AI observability, and endpoint management. • Represent the voice of the customer internally, balancing technical depth with business impact. What We're Looking For Must-have • Technical background, e.g. former software engineer or technical PM with hands-on coding or systems experience. You use AI coding agents daily and understand them from the inside. • Experience with products deployed as an agent on endpoints, such as EDR/XDR, AI agent security, or visibility and compliance tools: agents running on endpoints, telemetry collection, detection and policy logic. • Working knowledge of AI agent harnesses and frameworks — how agentic AI systems are built, evaluated, and deployed in production. • 4+ years of product management experience shipping complex technical B2B products, ideally developer tools or infrastructure. • Strong analytical skills; comfortable working with usage and cost data at scale. Nice to have • Experience with cloud cost management, FinOps, or infrastructure observability products. • Background in cybersecurity or threat-detection products. • Hands-on experience with LLM provider APIs (OpenAI, Anthropic, etc.) or token-based pricing models. • Hands-on experience with LLM routing, AI gateways, or model evaluation and benchmarking. Why PointFive • Founders with a track record Built and sold IntSights to Rapid7. Backed by top-tier investors with deep conviction in this category. • Category-defining product DeepWaste detection and agentic remediation with clear, measurable ROI for both engineering and finance teams. • Early-stage leverage Your work directly shapes the product, the culture, and the go-to-market playbook. • Ground floor of a new category You'll help define AI token cost management as a product category from near-zero, with direct access to founders and R&D leadership on where TokenShift goes next.

Description What you'll own Fig's product does the work a SecOps engineer does: it investigates coverage gaps against live enterprise security data, authors and tests detection logic, and tunes noisy alerting. That means product decisions here are SecOps engineering decisions, and they need someone who has actually done the job. You'll join Fig's product team and own the detection engineering surface of the product - what good coverage analysis looks like, what correct detection content looks like, what a security team should be able to trust the product to do on its own. Fig is defining a category around Security Operations Resilience, and the fastest way to get that right is to be genuinely credible with the SecOps engineers we're building for. What you'll be doing • Drive the detection product domain: Bring deep expertise in SecOps engineering across SIEM, data pipelines, and SOAR, and help the product team define where the product should excel. Develop a strong understanding of the day-to-day work of SecOps engineers and the challenges they face. • Turn expertise into product insight: Conduct deep, hands-on research across real security environments, SecOps engineering practices, data, and tooling. Combine customer feedback with your own experience and the knowledge of the broader team to identify meaningful problems, opportunities, and product directions. • Shape and execute the roadmap: Translate product insights into a focused roadmap aligned with company strategy and customer needs. Partner with the product and engineering teams to prioritize initiatives, make tradeoffs, define outcomes, and drive execution from discovery through delivery. • Turn problems into product direction: Translate ambiguous problems into clear product requirements and actionable plans. Work closely with engineering, design, and security experts to ensure complex technical problems are translated into products that are useful, intuitive, and technically sound. • Shape and evaluate AI agent capabilities: Define what Fig’s AI agent should be capable of doing as a SecOps engineer, what good looks like, and where it must be trusted or constrained. Develop evaluation frameworks, scenarios, and ground truth to measure and continuously improve agent performance. • Own product quality and outcomes: Maintain a deep understanding of how the product is used in real-world security operations. Validate assumptions, identify gaps, and use customer feedback, product data, and operational experience to continuously improve the product and its direction. Requirements What you'll bring • Detection engineering depth: 5+ years in detection engineering or security engineering, with detections you personally wrote, tested, tuned, and maintained in production. • SecOps stack fluency: Hands-on experience with SIEM, SOAR, security data pipelines, or security data lakes, including the query languages and data source configuration work that comes with them. • Content and automation experience: Comfortable building detection content, wiring up data sources, and building automated response workflows - and opinionated about where each one breaks. • Product instinct, not necessarily a product title: You can get from "this is broken" to a clear, buildable spec without being handed a template. Prior Product Manager or Technical Product Manager experience is a strong plus. • Communication that lands both ways: You can hold a deeply technical conversation with a SecOps engineer and a clear one with a security leader. Experience working directly with customers or external security teams is a strong advantage. • Curiosity about AI in the loop: Interested in how AI and ML change detection and monitoring, and willing to reason carefully about what an agent should and shouldn't be trusted to do inside a customer's security environment. • 0-to-1 judgment: Comfortable in an early-stage environment with an emerging category, limited existing structure, and a high bar for ownership.

Description What you’ll own You’ll own the AI at the core of Fig's product, which keeps SOC detection and response in sync with constant change. You’ll decide what it does, how security teams work with it, how we know it’s getting better, and how we grow it. What you'll be doing • Define the strategy and roadmap for Fig's agentic capabilities • Work with engineering to execute on it while constantly evolving it with latest tech developments. • Implement agentic product methodologies for building, evaluating and shipping AI based products • Work with SecOps teams to evolve the roadmap and build capabilities that solve their hardest problems • Identify product evolution opportunities from market and technology signals, and strategize product development accordingly • Enable sales and marketing teams to meet the market pain use cases in XL scale Requirements You’ll fit if • You have 5+ years in product management, including at least 1 year as a PM on an AI product • Big bonus for background in building in the security operations space • You’ve shipped LLM-based features to real users, and you know how work and where they fail • You've worked with big enterprise clients, understand how they operate, what drives business decisions and how it translates to great products • You're a persons' person, hungry for winning and cut-to-the-chase. • You have strong English communication skills.

Description Attackers don't hack- they log in. Almost every major breach starts with a credential that should never have existed. Venice ends standing access for every person, service account, and AI agent across cloud, SaaS, and on-prem. Our agentless platform deploys in minutes, swapping stale access workflows for real-time, just-in-time enforcement. But we're not only building this to stop breaches and replace clunky, legacy PAM setups. We're building it so teams can hand real privileges to AI agents and move faster, not just apply controls that slow everything down. Every company is about to put agents inside its most sensitive systems, and we're making it secure and possible for those agents to be a true part of the workforce. Backed by Index Ventures and IVP, trusted by Fortune 200 security teams, and deployed in some of the most complex enterprise environments in the world. The rules for how AI gets access are being written right now. Come write them with us. What you will do: • Own a core product area end-to-end from day one - set direction, define the roadmap, and drive it from discovery to launch and beyond. • Lead discovery calls, POCs, and strategic conversations with Fortune 200 security teams - turning complex enterprise challenges into clear product decisions. • Make the tough prioritization calls: what to build, what to cut, and what to defer - balancing customer impact, competitive position, and engineering capacity. • Work day-to-day alongside UX, Engineering, and leadership throughout the entire process - from early problem framing to shipped product - and influence go-to-market, sales, and customer success on positioning and expansion plays for your area. • Use AI tools day-to-day to move faster - research, specs, prototyping, customer analysis - and bring that same mindset to how the team works. Requirements • 5+ years in product management, ideally with experience in cybersecurity, IAM/PAM, or complex enterprise IT/security products. • Strong technical background - through a degree in Computer Science, Industrial Engineering, or equivalent hands-on experience - with the fluency to debate tradeoffs with engineering and security architects. • Track record of owning a product area and shipping outcomes - not just features - in a fast-moving environment. • Hands-on with customers throughout the product lifecycle: discovery, validation, rollout, and expansion. • Excellent English, written and verbal. • Hands-on user of AI tools in your daily workflow, with a point of view on where they help and where they don't. • Bonus if you've shipped a product in or adjacent to the agentic AI space. Why join us? The Timing The timing couldn't be better. Legacy privileged access management is dead, the market leader was just absorbed, and there's a narrow window to define what replaces it. We're in that window right now. The Culture Our team is small with exceptional people who are actually fun to work with and the distance between your idea and production is short. Plus, we take our coffee seriously. If this sounds like your kind of challenge, apply- even if you don't tick every box.

Product Manager Tel Aviv · Product About Miggo Miggo is closing the patch gap. We created the Application Detection and Response (ADR) category to give security teams runtime visibility into what's actually happening inside their applications — what's reachable, what's exploitable, and what's being attacked right now. And we don't stop at seeing it: when a patch isn't ready, Miggo provides targeted mitigations that shield the application in real time — protecting what's exploitable while the fix catches up. Backed by top-tier investors and trusted by leading enterprise security teams, we're building the category-defining platform for runtime application security. About the role We're looking for a Product Manager to own Miggo's Runtime Domain — the engine that powers vulnerability intelligence, attack detection, sensor capabilities, and our application DNA (appDNA) model. This is the technical core of the product, where security research, runtime telemetry, and product judgment meet. At Miggo, product management is an engineering discipline. You'll be expected to go deep on the technology, hold your ground in technical debate, and ship — not just write specs. This role reports to the Senior Director of Product. What you'll do • Own the roadmap for detection, vulnerability intelligence, and sensor capabilities. Decide what we build, kill, and punt. • Partner with security research daily — turn raw findings, new CVE classes, and exploitation patterns into shippable product. • Write specs engineers respect. Argue about data models and detection quality, not pixels. • Run design partnerships with enterprise security teams. Sit with them, watch them work, come back with conviction. • Run discovery sessions with customers to maximize the value from the Miggo platform. • Use AI tooling as a force multiplier in your own workflow — prototyping, evals, internal agents. Not as a feature you slap on. What we're looking for • Strong technical background — Must. Engineering, security research, or equivalent hands-on technical role. You can read a stack trace, reason about request flow through a service, and have a point of view on why existing AppSec categories under-deliver. • Security research background — Must. Application security, vulnerability research, offensive security, or a technical military intelligence role. Comfortable going deep on CVE classes, exploitation patterns, and runtime signals. • Product experience. Formal PM, founding engineer with product instincts, or a tech lead who shaped what shipped. We care about evidence you delivered things customers actually used — not the title on your last business card. • AI-native operator. You've built something with modern AI tooling — an agent, an eval harness, a workflow — not just used it. • Hands-on by default. Comfortable in fast-paced startup environments where there's no one to hand the work off to. • Clear writer in English. Slack messages, specs, customer notes. Compression matters. Two questions we'd like you to answer Skip the cover letter. Send us: • The most technical thing you've shipped or researched — and what you'd have done differently. • One detection, vulnerability, or AppSec product on the market that you think gets it wrong — and why.

Description ClickCease is CHEQ's self-serve Digital Acquisition & Marketing Stack Protection platform, protecting SME/SMB sites from invalid traffic across ad platforms (Google Ads, Meta, and more) and user acquisition funnels (forms, tags, and more). As PLG Product Manager, you will own the product end-to-end: roadmap, growth metrics, and the self-serve experience that converts trial users into expanding customers. We're looking for a Product Manager to join our global Product team and take ownership of ClickCease, CHEQ's self-serve PLG platform. Reporting directly to the Chief Product Officer and working closely with the division head, you'll play a key role in shaping the product strategy, influencing business priorities, and driving product decisions across the organization. WHAT YOU'LL DO • Own and drive the ClickCease product roadmap - from ideation and prioritization through delivery, launch, and iteration. • Define and continuously optimize the self-serve funnel: acquisition, conversion, onboarding, retention, and expansion. • Represent the voice of the ICP - conduct market research, user interviews, analyze support trends, and synthesize insights into product decisions. • Define, monitor, and report on key PLG metrics: activation rate, time-to-value, trial conversion, MRR expansion, churn rate, and NPS. • Lead a KPI-based experimentation culture - design A/B tests, analyze results rigorously, and build institutional knowledge from every experiment. • Set pricing and packaging strategy for self-serve subscription tiers, in collaboration with GTM, finance, and leadership. • Monitor the competitive landscape across click fraud prevention, ad verification, and broader ad-tech to identify opportunities and threats. Requirements • 3 - 6 years total product management experience, with a track record of shipping impactful, customer-facing features at a B2B or B2C SaaS company. • PLG / Self-serve product experience [Must Have] - 2+ years as PM on a self-serve SaaS product with a PLG motion (freemium, free trial, or usage-based). You have owned activation and retention funnels, not just features. • Martech / Ad-tech / Advertising platform knowledge [Must Have] - Deep familiarity with Google Ads and/or Meta Ads: campaign structure, conversion tracking, pixel setup, audience targeting, and the day-to-day workflow of a PPC advertiser. You speak the advertiser's language. • Experimentation discipline - Experience designing, running, and correctly interpreting A/B tests. You treat every roadmap decision as a hypothesis waiting to be validated. • SMB market empathy - Deep understanding of small and mid-sized business constraints: budget sensitivity, speed of decision-making, and the outsized value of simplicity in a product. • Strong analytical skills - Comfortable with product analytics tools (Mixpanel or similar) and SQL basics. You question the data before acting on it. • Relevant pricing & packaging experience - You have worked on subscription tier design, trial mechanics, upgrade flows, or usage-based pricing in a self-serve context. NICE TO HAVE • Experience in click fraud prevention, invalid traffic detection, or digital ad verification. • Background in security-adjacent SaaS - bot detection, traffic quality scoring, or ad verification platforms such as DoubleVerify or IAS. • Experience owning products with third-party API integrations - ad platforms, CRMs, analytics tools, and the technical complexity they bring.

Description Alice is at the forefront of a shift in online safety. As Big Tech moves beyond reactive moderation, Alice is building the agentic future of Trust & Safety. We are hiring a Director of Product to close the gap between our Trust & Safety expertise and the automated, repeatable products the world's largest platforms now need. This is a high-impact leadership role focused on incubating new ideas, pushing from 0 to 1, and productizing what works. You will turn bespoke moderation workflows and investigation methodologies into a portfolio of repeatable, data-driven offerings that let global platforms run agentic safety systems at volume. This role is not red teaming and it is not research. It is execution and scale. You will work closely with the pod leadership to capture domain expertise and embed it into the Alice product suite. Core responsibilities • Productization strategy. Identify high-value Trust & Safety & Security workflows inside Big Tech environments and architect their transformation into standardized product offerings that hold up at platform volume. • Maintain the data moat. Define Alice's data assets as the durable differentiation across all of the company's offerings, services and product lines. • Agentic moderation. Lead the product roadmap for the transition from manual and basic-automated moderation to agentic systems capable of autonomous investigation and enforcement. • Scaling for Big Tech. Design offerings for the infrastructure and policy requirements of big tech platforms like -high throughput, low friction to adopt. • Deliver bespoke projects. Secondary, but real: lead demand and learn from existing and incoming projects, covering the full cycle of requirement collection, development and delivery. Requirements • Proven track record in product management or leadership within the Trust & Safety or Security domains, with a demonstrated ability to lead cross-functional teams • Strategic product leadership: experience leading cross-functional teams to deliver 1-to-N product growth, with a focus on repeatability, efficiency and market fit • T&S scaling: a proven track record of taking complex service-based operations or internal tools and scaling them into revenue-generating, production-ready products • Big Tech literacy: deep understanding of Trust & Safety ecosystems, policy constraints and operational friction points within major platforms • Agentic systems: strong conceptual and practical understanding of how LLM-driven agents can be deployed for content moderation and deep-dive investigations • Entrepreneurial execution: able to operate at a high strategic level while holding the technical depth to judge product feasibility • Communication: mastery in distilling complex technical capabilities into clear, value-driven narratives for senior stakeholders at Fortune 500 companies About Alice Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact- whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection. Alice is widely considered a global leader in online safety and AI security. We have some of the most forward-thinking and passionate minds in the world working to safeguard over 3 billion users across the largest AI and tech platforms. If you're creative and driven to secure the future of AI, we want to hear from you!

Description Alice secures AI apps, agents and models from build to production. Enterprises are shipping AI faster than they can secure it, attack techniques evolve constantly, and every company draws the line on acceptable behavior in a different place. No enterprise can keep up with that on its own, and Alice is how they do it. At the heart of the platform sit two engines: the attack engine finds the failures before attackers do, and the defense engine blocks them in production without breaking legitimate traffic. We are hiring a Senior PM who will lead the strategy, vision, and execution of our core engines. This PM sits inside the DS workflow — and can read the notebooks, argue about the eval set, query the data themselves — and translate between model reality and customer reality in both directions. This is not a PM role that writes a PRD and waits. It is a PM role where “I pulled the data, here’s what moved the F1, and here’s what it means for customers” is the expected level of answer. What you'll own Attack engine roadmap. Coverage and depth of adversarial techniques, novel-attack generation quality, agentic/multi-turn testing, zero-day and model-risk research productization. You decide which harm categories, modalities, and attack families we invest in next, and you defend that call with evidence. Defense engine roadmap. Classifier quality across policies and languages, the precision/recall/latency triangle, customer-specific tuning, and the path from "a red team finding" to "a guardrail that blocks it." Closing that attack→defense loop is the single highest-leverage thing this role can do. Evaluation as a product surface. Own how we define, measure, and publish model quality — benchmark datasets, eval harnesses, golden sets, regression gates, and the metrics customers actually see. When a customer asks "how accurate is this," the answer and the evidence behind it are yours. Data strategy for the engines. What data we collect, label, retain, and feed back into training; how customer feedback (overrides, false-positive reports, session feedback) becomes a training signal; and how all of it stays within our customer data commitments The DS↔Engineering seam. Model artifacts, schemas, and pipelines. You keep that contract explicit and get research into production. Day to day • Run discovery with AI Product Owners, security engineers, and CISOs on what attacks they fear and what false positives they can't tolerate • Turn fuzzy customer harm into a testable engine requirement with a measurable bar • Prioritize the DS backlog with the DS lead; make the hard calls on coverage vs. depth vs. latency • Own the quality narrative for sales, solution engineering, and security reviews — backed by numbers you can defend • Partner with design and platform PMs so engine capability becomes a usable product, not a config flag • Track competitive and academic movement in adversarial ML and guardrails, and translate it into roadmap pressure Requirements Required • 5+ years in product management, with at least 2 shipping ML/data-science-backed products • LLM-era experience: evals, prompt engineering, RAG, agentic systems, LLM-as-judge and its failure modes • You can reason about model evaluation properly: precision/recall tradeoffs, class imbalance, train/test leakage, annotation quality, why a benchmark number is or isn't trustworthy • Experience defining and defending model quality metrics to customers or regulators • A track record of working with data scientists and research engineers Strongly preferred • Security or adversarial ML background • Familiarity with data pipeline tooling/feature and labeling infrastructure • Experience with enterprise buyers in regulated industries About Alice Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact- whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection. Alice is widely considered a global leader in online safety and AI security. We have some of the most forward-thinking and passionate minds in the world working to safeguard over 3 billion users across the largest AI and tech platforms. If you're creative and driven to secure the future of AI, we want to hear from you!

About Us OurRitual is a fast-growing digital platform reshaping how relationship therapy works. We combine expert-led therapy sessions with AI-powered support to create a blended experience — where clinical depth and intelligent technology weave together into something neither could deliver alone. A therapist brings depth. AI brings continuity. Together, they reshape what relationship support feels like in the 167 hours between sessions. We call it Continuous Therapy. We've reached product-market fit with strong growth, exceptional engagement, and retention that breaks the category. We have 200+ expert therapists on the platform and the largest dataset of clinically-annotated couples therapy sessions in existence. We're pre-Series A, at the stage where AI moves from feature to foundation. Role Overview As a Head of Product — AI Therapy, you will own how AI and clinical expertise come together across the product to create a new kind of therapy experience. This role sits at the intersection of consumer product, AI technology, and clinical science — defining what intelligent relationship support looks like when it's grounded in real therapeutic data and validated by real clinicians. You'll design the conversational AI that supports users between sessions — emotional processing, conversation preparation, reflections, personalized guidance. You'll build the intelligence layer that turns therapy session data into structured relationship context, so every interaction feels informed by the couple's actual journey. And you'll push into open space — new product surfaces, new modes of support, new ways to make therapists more effective — because the category is being created now and the playbook doesn't exist. This is a hands-on role that requires balancing vision with execution, working closely with our clinical lead, AI engineers, and design team to ship products where every word matters — because people are vulnerable when they use them. In regular collaboration with founders and clinical leadership, you'll shape the AI therapy strategy and help define the future of continuous, tech-enabled relationship support. Key Responsibilities AI Product Definition • Own the AI therapy product surface — conversational flows, tone, behavioral rules, guardrails, and prompt engineering for between-session support • Define how AI shows up across modes: emotional processing, conversation preparation, reflections, personalized guidance • Drive the user-facing AI experience from spec to ship — ensuring it feels warm, safe, and clinically grounded Intelligence Infrastructure • Define how therapy session data becomes structured relationship context — extraction logic, confidence scoring, lifecycle management, recommendation systems • Build the intelligence layer that makes AI interactions feel informed by the couple's history and therapeutic journey • Shape content recommendation and insight delivery systems Clinical-Product Integration • Partner with clinical lead and therapist network to validate every AI behavior before it reaches users • Translate therapeutic frameworks into product specs that engineers can build from • Design expert-in-the-loop workflows and crisis safety protocols • Ensure what ships is therapeutically sound, not just technically impressive New Product Surfaces • Identify and develop new AI-powered experiences — adaptive insights, tools for therapists, modes of support that don't exist yet • Run POCs with real users, define acceptance criteria, measure outcomes, iterate • Collaborate with consumer product initiatives to ensure AI and human experiences are seamlessly aligned Skills & Qualifications • 5+ years of product management in consumer products, with real AI/ML experience • Hands-on LLM product work — prompt engineering, model behavior, shipping AI that needs to be safe and reliable • Genuine interest in therapy, mental health, or emotional wellbeing — you understand why clinical grounding matters and why this space demands more care than most • Strong spec-writing — translating complex behavioral and clinical requirements into clear, buildable definitions • Cross-functional fluency — comfortable going deep with engineers on architecture, with clinicians on therapeutic frameworks, with designers on experience • Builder mentality — energized by defining problems, not just executing against a predetermined roadmap • Fluent English Nice-to-Have Skills • Health-tech, therapy-tech, or regulated consumer product experience • Conversational AI background — designing conversation flows, managing AI tone and personality • Personal experience with therapy (individual or couples) — it gives intuition that's hard to teach • 0-to-1 product track record at early-stage companies • Experience with clinical validation workflows or expert-in-the-loop AI systems Why This Role Therapy is about to look very different — not because AI replaces therapists, but because people expect more than a weekly hour can deliver. This is a rare opportunity to define how AI and clinical expertise blend together to support relationships at scale. You'll work with a dataset that doesn't exist anywhere else, building products that couldn't be built at any other company. If you care about building AI that genuinely helps people in their most vulnerable moments, this is it.

Stigg The Usage Runtime for AI Products But what is it exactly? Built by former New Relic engineers, Stigg provides the infrastructure AI companies need to meter, monetize, and govern product usage at scale. Our real-time usage runtime enables companies to manage entitlements, usage metering, credits, budgets, and access controls - all without building complex infrastructure from scratch. So what? Why now? AI is fundamentally changing how software is consumed and monetized. Every API request, inference, or agent action can generate real cost, while traditional billing systems only report usage after it happens. Stigg helps AI companies make real-time decisions about what each customer, user, team, or agent is allowed to do - before the cost is incurred. This gives engineering teams the control they need, while allowing Product and GTM teams to quickly introduce and evolve new monetization models. Are you funded? 💰 We are! Stigg is backed by Red Dot Capital Partners, Unusual Ventures, and Emerge. Our platform is trusted by leading companies such as Miro, Webflow, PagerDuty, Upwork, Productboard, Qlik, and HackerOne. Team → Product → Traction - where you at? 🐜 A lean global team of around 40 people 🏠 Headquartered in Tel Aviv, with team members across Israel, the US, and Europe 🚀 Launched Stigg 2.0 - the Usage Runtime for AI Products ⚡ Built to process over 1M usage events per second and make real-time decisions in milliseconds We're looking for an Senior Product Manager We're looking for an exceptional Product Manager to join our highly talented team and take our product to the next level. As a Product Manager, you'll play a key role in defining the product strategy that shapes our unique offering to customers, like Miro, Webflow, PagerDuty, Upwork, Productboard, Qlik, and HackerOne. Your expertise will help create solutions that seamlessly integrate complex functionalities while ensuring an exceptional user experience. You'll collaborate closely with engineering, design, CS, marketing, and sales teams to identify customer needs, define and prioritize product requirements, and deliver innovative features that make it easier for engineers to monetize their applications. What will be your primary goals 🎯 • Help lead the product's strategy and vision, and ensure it aligns with the company's objectives • Collect and analyze customer feedback to shape our product requirements and capabilities • Research the market and competitive landscape to identify opportunities • Drive the product roadmap and prioritize features based on value, effort, and feedback • Collaborate with cross-functional teams to execute product launches and promotional campaigns effectively • Monitor and analyze product performance metrics to evaluate success and identify areas for enhancement • Act as the voice of the customer to ensure that our products meet customer expectations and deliver significant value • Foster strong relationships with stakeholders across the organization to maintain alignment on priorities and vision What we think can help you achieve your goals 🏆 • Experience of 5+ years of product management experience in a B2B SaaS environment, working on complex software solutions • Proven track record of successfully launching products with a significant impact on customers • Technical background including familiarity with technologies like APIs and cloud platforms • Analytical and strategic thinker with strong attention to detail and end-to-end ownership • Strong product sense and passion for building great user experiences • Proven ability to work effectively with cross-functional teams, including engineering, design, marketing, and sales, to bring products to market successfully • Excellent written and verbal communication skills; ability to convey ideas and align teams around product vision and goals • A proactive, highly motivated, can-do attitude Bonus Points ➕ • Past experience in building developer tools, SDKs and or software infrastructure • Past experience as software developer or engineer Now to the important details Perks 🎁 Stock options, a competitive salary, a new MacBook Pro, plenty of SWAG, and a fun, dog-friendly office. Office<>Remote 🏠 We work 4 days together, 1 day from home. Location 📍 Our office is located in Tel Aviv, between Rothschild Boulevard and Neve Tzedek. We also help our team with commuting and parking.

Description About Port At Port.io, we are building an open and flexible Agentic Engineering Platform for modern engineering organizations. Following our recent $100M Series C funding round, we are in a phase of rapid hypergrowth with strong enterprise momentum. We act as the central nervous system for engineering, enabling platform teams to unify their stack and expose it as a governed layer through golden paths for developers and AI agents. By combining rich engineering context, workflows, and actions, we help organizations transition from manual processes to autonomous, AI-assisted engineering workflows while maintaining control and accountability. As a product-led company, we believe in building platforms that fundamentally shape how modern engineering organizations operate. About the role At Port, we've taken a platform-first, builder mindset from day one, developing the modular building §blocks we call pillars. Our users are exceptional engineers who continuously build creative and unexpected solutions with our platform. Being a PM here means embracing that creative tension while staying relentlessly focused on where the platform needs to go next. As a PM at Port, you'll own a pillar end-to-end alongside your team of engineers and designers. You'll build and evolve it as a standalone value stream and as a connected part of the broader platform. PMs at Port are full picture owners: they shape the story of their pillar from market positioning to technical enablement, defining success not just by what gets shipped, but by the measurable impact it delivers. What you'll do • Define what to build and why. Go deep with customers, analyze usage data, and research the competitive landscape. Bring that view to your team, build a sharp perspective on what's worth building next, and communicate the reasoning to engineering, leadership, and the market. • Shape experiences engineers choose to use. Port’s developer experience spans the entire ecosystem across the UI, API, CLI, and daily chat and coding interfaces. Work closely with design and engineering to make each surface deliberate, from the first wireframe through launch. • Drive cross-functional impact. At Port, PMs don't hand off and wait. You work across engineering, design, marketing, sales, and CS throughout the full product cycle, accountable for picking the right problem, the solution built, and whether the launch lands. • Build for agents and developers. Port is the context and action layer for both. Shape your domain so agents can act on it reliably and developers can navigate it intuitively. Understand the tradeoffs in how data, APIs, and interfaces serve both. Separate the signal from the hype, and use that view to sharpen your roadmap. • Measure what matters. Define success metrics before you ship. Track adoption, analyze what's landing, and iterate until the outcome is real. Requirements • 4+ years in product management across at least two companies or roles, with a track record of shipping products that developers or technical users rely on. • Shipped an AI-powered product. You know what it takes to get an AI product or feature into production at a quality bar that users trust. • Technically grounded. You've experimented with APIs, MCP, CLI, and similar surfaces. You can think like the engineer you're building for and hold your own in technical conversations. • Obsessed with experience. You care deeply about how something feels to use, not just what it does. Whether it's a UI, API, chat, or CLI interface, you've worked closely with designers and engineers to make each surface right, and pushed back when something wasn't good enough. • Analytical. You work with both qualitative and quantitative data to drive decisions. You define success metrics before you ship and use them to decide what to do next. • Hands-on with AI. AI tools are part of your daily workflow. You have a real thesis on where AI for developers is heading, and you can articulate why. • Strong communicator. You explain product decisions clearly, inspire the team around a direction, and can tell the story of what you're building to customers and executives alike. • Collaborative by default. You share credit, ask for input, and make the people around you better. You've pulled a team forward on something hard, not just contributed to it.

Parallel Wireless is reimagining mobile networks with innovative, energy-efficient Open RAN solutions. Join us as we lead the future of telecommunications, driving innovation through green and sustainable networks. Learn more about our mission, vision and values. Parallel Wireless is looking for a Product Line Manager to own the strategy, commercial success and lifecycle of a product line in our GreenRAN™ Open RAN portfolio. You will connect operator needs and market opportunities to differentiated products, working with R&D, Sales, partners and customers. We are looking for entrepreneurial judgment that finds real customer value in disruptive technology, beyond standards compliance. What you will do: • Own strategy, positioning, roadmap, business case and lifecycle decisions, balancing operator value, differentiation, revenue and cost. • Discover operator needs, market shifts and competitive gaps, and turn them into prioritized requirements and releases with clear acceptance criteria. • Spot value in AI/ML, agentic AI, automation, cloud-native RAN, energy innovation and 5G-Advanced/6G, and turn it into lower TCO, new services or new revenue, backed by business cases that go beyond standards compliance. • Lead R&D, System Engineering, QA and Program Management through scope, schedule, quality and cost trade-offs, from concept to launch. • Own pricing and packaging recommendations, forecasts, margin targets, and revenue and adoption KPIs, and adjust the roadmap based on commercial and field results. • Engage operators through roadmap reviews, RFx responses, trials and first deployments, and support Sales and Pre-Sales on deals and proposals. • Manage partners, multi-vendor interoperability, security and regulatory needs, and the relevant 3GPP and O-RAN requirements. • Drive go-to-market and lifecycle execution with Marketing and Sales: positioning, enablement, release readiness, customer feedback and end-of-life plans. • Champion AI-first ways of working, using AI tools for market analysis and product decisions. What you bring: • B.Sc. in Electrical Engineering, Computer Science, Communications or a related field, or equivalent practical experience. An MBA is an advantage. • Typically 10+ years in telecom or wireless infrastructure, including 5+ years in product management or product line management, or equivalent experience. • A record of taking a product from concept to commercial deployment with operators, including its roadmap, business case, releases and results. • Technical understanding of 2G/3G/4G/5G RAN and of how operators deploy and run RAN products. • Direct operator engagement and sales support across RFx, trials and roadmap reviews. • A value-driven, entrepreneurial approach to AI/ML and emerging technology: start from customer problems, tell value from hype, and prioritize business outcomes. • Strong analytical, pricing and communication skills. You can lead global, matrixed teams through influence, present clearly to executives, customers and engineers, and travel internationally as needed. Nice to have: • Hands-on Open RAN and multi-vendor RAN experience. • An engineering, system engineering or solutions / pre-sales background. • Experience bringing AI/ML, automation or energy-saving RAN products to market. • Experience with hardware and software product lines, including suppliers and contract manufacturers. Parallel Wireless is expanding the ecosystem for Open RAN with the GreenRAN™ energy-efficient Hardware-Agnostic technology. Deployed worldwide, our comprehensive 2G/3G/4G/5G Macro RAN solutions enhance network security while reducing operating expenses. As pioneers of Open RAN, we prioritize innovation, flexibility, and sustainability to help build a more connected, and green networks. Headquartered in the USA with global R&D centers, we are proud to serve over 60 customers worldwide and have been recognized with over 100 industry awards. Our mission is to accelerate GSMA’s Mobile Net Zero initiative by reducing TCO and driving innovation across the telecom ecosystem.Learn more at www.parallelwireless.com. Parallel Wireless embraces diversity and equality of opportunity. We are committed to building inclusive and diverse teams representing all backgrounds, with a wide range of perspectives, and empowering industry-leading skills. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.Parallel Wireless does not accept unsolicited resumes or applications from agencies or individuals. Please do not forward resumes to our jobs alias, Parallel Wireless employees, or any other company location. Parallel Wireless is not responsible for any fees related to unsolicited resumes/applications.

Description Pipl is an AI company that helps global enterprises make better fraud decisions. We're built on more than 20 years of identity data and Elephant, the industry's only large risk model trained on payment fraud. Pipl's three products give enterprise teams modular access to the intelligence they need across payment and transaction ecosystems, where the cost of getting it wrong is highest. Pipl Trust brings AI-native risk decisioning into payment workflows, with Elephant resolving identity across behavioral, device, and network signals in real time. Pipl Search connects identity intelligence for investigations and background checks, drawing on our global identity graph. Pipl Elements delivers phone and email signals that strengthen existing fraud models and verification workflows. Our identity graph covers more than 5 billion identities and 740 billion signals. The world's largest payment networks, ecommerce marketplaces, and digital wallet platforms trust Pipl to get it right. We're looking for a Product Manager with strong fraud expertise to help shape the next generation of Pipl's Trust products. This role sits at the intersection of product, fraud intelligence, customer discovery and data science. You will develop a deep understanding of emerging fraud patterns, analyze customer and POC data to understand where fraud occurs and where our products succeed or fall short, and translate those insights into new signals, capabilities and solutions. You will work directly with customers, Sales and Solutions teams to understand how organizations detect and mitigate fraud today, identify unmet needs, and discover new opportunities for Pipl. You will also maintain an adversarial view of our products — thinking like a fraudster to identify where our signals and models can be bypassed and what we need to do about it. This is a hands-on product role. Success means becoming a fraud domain expert within Product and using that expertise to drive our roadmap, improve customer outcomes, and help shape Pipl's perspective on emerging fraud trends. What You'll Do Understand fraud and our customers • Continuously research emerging fraud methods, attack patterns and industry trends, and translate them into product opportunities. • Analyze labeled customer and POC data to identify fraud patterns, false positives and false negatives, understand why decisions were wrong, and identify data, signal or model gaps. • Work directly with customers, Sales and Solutions teams to understand fraud challenges, existing workflows and unmet needs. • Identify patterns across customers and turn individual problems into scalable product capabilities. Find gaps and build better solutions • Maintain an adversarial view of Pipl's Trust products: understand how fraudsters could bypass existing signals and identify what we would miss. • Define new signals, insights and product capabilities that help customers better detect, investigate and mitigate fraud. • Turn discoveries into prioritized product requirements and drive them from concept through development, release and measurement. • Partner closely with Data Science to evaluate new features and signals and measure their impact on fraud detection and false positives. Expand our fraud intelligence • Identify and evaluate new sources of fraud and adversarial data, including breach data, blacklists, compromised identifiers, scam intelligence and threat-intelligence providers. • Run provider evaluations with Data Science to understand coverage, quality and incremental value relative to Pipl's existing capabilities. • Work within Pipl's privacy, compliance and security requirements when evaluating new data sources. Build Pipl's fraud expertise • Use analysis across customer data and the broader fraud landscape to develop insights into how fraud is evolving. • Partner with Marketing to translate meaningful findings into research, blogs, publications and other thought-leadership content. • Help customer-facing teams communicate Pipl's fraud capabilities and provide a strong product perspective during strategic customer discussions. Requirements • 3+ years of experience in fraud, risk, trust & safety, identity, payments or security. (Product management experience is a strong plus, not a requirement). • Hands-on fraud investigation or analytics experience — you have personally analyzed fraudulent transactions and worked to understand how they succeeded. • Strong analytical skills, including SQL and experience working with large, imperfect customer datasets. • Experience conducting customer discovery and translating customer problems into scalable product solutions. • Experience with ML-based products and working closely with Data Science teams. • Strong understanding of the fraud ecosystem and curiosity about how fraud and attacker behavior are evolving. • Ability to move comfortably between detailed data analysis, customer conversations and broader product strategy. • Excellent written, verbal and presentation skills, with the ability to communicate fraud insights to technical, customer and industry audiences. • Proven ability to take product initiatives from discovery and requirements through execution and measurement. Nice to have: Experience with payments/e-commerce fraud, synthetic identities, mule accounts, first-party fraud, ATO or scams; familiarity with threat intelligence or breach data; experience with device intelligence, bot detection or identity resolution.