OurRitual

About Us OurRitual is a fast-growing digital platform revolutionizing relationship guidance. We provide expert-led sessions, personalized pathways, and engaging content to help individuals and couples work through relationship challenges. We are now scaling and looking for the right people to join our (great!) team to continue delivering exceptional experiences to our users. Role Overview We are looking for a Generative AI Engineer to lead our AI efforts end-to-end — from infrastructure and production systems to internal adoption and cross-team enablement. You will play a significant role in building the world's first Consumer Therapy AI Product (someone said RAG? But we mean a real one that works in production...). This is a critical role in a high-growth, fast-paced B2C startup, requiring a leader who can advocate for Engineering requirements, tech-debt and best practices while promoting a product-mindset and putting our customers front and center. About You • You are a great human being and you’re all into teamwork. you care about how people will feel inside the organization and set high standard for culture, professionalism and maturity. • A Doer, hands-on, biased for action and not taking an advisory role. Know how to translate challenges into actions. Able to work both individually and manage multiple priorities while driving others around you for action. • You're a fast learner, jack of all trades, feel comfortable in a fast paced, ever-changing environment. You can break down complex problems into steps and plot clearly how to get from A to Z while having the ability to zoom out and see the bigger picture. • You are an experienced hands on engineer, with proven experience with Developing LLM based products, with a real passion to AI and LLM, eager to learn about very new model and technology in this domain, and have a real understanding of the AI ecosystem. Key Responsibilities AI Infrastructure & Production • Own and design GenAI architecture (LLMs, pipelines, agents) • Build and ship AI features into production • Integrate enterprise models (OpenAI, Anthropic, Google) • Optimize cost, latency, and reliability (tokens, caching, evals) • Handle real-world constraints (context window, hallucinations) Prompt Engineering & Product Collaboration • Lead prompt design and experimentation across teams • Work with product, copy, and operations on AI-driven features • Build and evaluate prompt pipelines (quality, consistency) Research & Innovation • Stay up to date with GenAI ecosystem (models, tools, frameworks) • Evaluate and implement frameworks (LangGraph, LangChain, etc.) • Prototype quickly and iterate in a startup environment Required Skills & Qualifications • ~1+ year experience with Generative AI / LLMs • 5+ years experience with Backend engineering • Experience shipping GenAI features to production • Strong hands on, production grade backend/software engineering skills (Python preferred) • Experience with major AI providers (OpenAI, Anthropic, Google) • Prompt engineering and LLM behavior knowledge • Understanding Agents / multi-step workflows • Experience with AI frameworks (LangChain, LangGraph, etc.) • Familiarity with embeddings / vector databases • Excellent problem-solving skills with demonstrated success in fast-paced environments. Bonus • MLOps / model deployment experience • Evaluation, monitoring, and guardrails • Fine-tuning or model customization • RAG systems (Retrieval-Augmented Generation) • Building retrieval pipelines and grounding LLM outputs

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.

Data-AI Lead 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. We call it Continuous Therapy. We've reached product-market fit with strong growth, exceptional engagement, and retention that breaks the category. We're pre-Series A, at the stage where AI moves from feature to foundation — and that shift runs straight through data. Role Overview As Data Lead, you will own how data gets turned into decisions across the company — and lead the shift from traditional BI into AI-driven BI, powered by agents that surface insight in real time. You'll work closely with one data engineer today, with room to grow the team as scope expands. You'll define what the data function looks like when AI is embedded in it, not bolted on — from the underlying infrastructure to the dashboards and agents people actually use. The playbook for AI-native BI is still being written, and you'll write a lot of it. Key Responsibilities Data Strategy & Ownership • Own the vision and roadmap for the data function, including the shift from classic BI to agent-based, AI-driven BI • Set priorities in partnership with senior leadership • Work closely with a data engineer today, with the option to grow the team as the function scales AI-Driven BI & Agents • Drive adoption of AI across data workflows — from automating analyses to agents answering business questions in real time • Own the semantic and metrics layer so every dashboard and every agent reads the same definitions • Build in a git-based workflow: dashboards and queries live in git, edited through PRs, built with agents • Expose our data to agents over MCP so business questions get answered without waiting for a dashboard • Define where AI speeds things up — and where human judgment still has to hold the line Infrastructure & Analytics • Own the data infrastructure: BigQuery, dbt, pipelines, and data reliability • Lead complex analytics work, A/B testing, and impact measurement, hands-on • Define evals and quality metrics for AI features and agents — not just A/B tests on dashboards Cross-functional Collaboration • Partner with product, marketing, finance, operations, and engineering to define analytical needs and turn them into solutions • Represent the data function to the organization — senior-level storytelling with data Skills & Qualifications • 7+ years of experience in data roles, spanning both analytics and infrastructure • Strong analytical foundation — you understand what makes analysis rigorous, not just what makes it automatable, and can use that to build an AI-driven analytics system that's actually trustworthy • Hands-on experience integrating AI into data workflows — building it, not just using it; you've shipped an agent or AI analysis flow that people actually use • Strong SQL skills and experience building scalable data infrastructure • Track record owning data projects independently with stakeholders across the business • Solid grounding in experimentation and statistical methods • Excellent communication and presentation skills at a leadership level • Comfortable being the most senior (and often only) data voice in the room Nice-to-Have Skills • Experience with dbt • Experience with Amplitude • Experience with BigQuery • Experience with git-based BI workflows or tools like Modus • B2C environment experience Why This Role Data teams are about to look very different — not because dashboards disappear, but because people expect answers faster than a weekly report can deliver. This is a rare opportunity to define what AI-native data leadership looks like at a company sitting on a dataset that doesn't exist anywhere else, with real ownership over how the function grows. If you want to build the data function that a category-defining product deserves, this is it.