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See who you know at Genway AIAt Genway AI, we know the toughest part of research isn’t the users - it’s the stakeholders. That’s why we’re hiring a Stakeholder Whisperer: someone who can tame wild feature requests, soothe panicked executives, and transform “my cousin says…” into actual research-backed insights. This role requires Jedi-level diplomacy, the patience of a preschool teacher, and the ability to translate HiPPO (Highest Paid Person’s Opinion) into a usable research question. If you’ve ever left a meeting where everyone agreed to opposite things simultaneously - you might just be who we’re looking for. Responsibilities Turn vague requests like “Can we just do a quick survey?” into real research plans Decode executive feedback expressed exclusively in hand gestures and sighs Politely convince stakeholders that “we don’t need research” is, in fact, incorrect Translate “I want this button bigger” into “we need to test visual hierarchy” Keep everyone aligned… even after someone says, “Let’s circle back next quarter” Deliver insights so irresistible stakeholders actually quote them back to you Requirements: 7+ years of experience wrangling humans (cowboy background acceptable) 10+ years experience negotiating peace treaties, family drama, or product roadmaps Fluent in stakeholder languages: “visionary idea” “gut feeling” and “we already know” Demonstrated ability to nod thoughtfully while disagreeing internally Experience turning anecdotal evidence into a 50-slide deck (that gets read) Skilled at predicting which insights will be ignored before presenting them Bonus: Survived at least one meeting where all stakeholders spoke at once Compensation Eternal gratitude from researchers everywhere An unlimited supply of “As per my last email” templates The thrill of converting HiPPO opinions into actual data-driven decisions About Genway AI At Genway AI, we’re reimagining how user research gets done. While we haven’t yet mastered full-scale telepathy, our mission is to get as close as technology allows. We help research, product, marketing and innovation teams design, conduct, and synthesize studies in a fraction of the time. Our platform blends powerful AI agents with human judgment, unlocking faster insights and sharper decisions without sacrificing depth.
Find perfect research participants… instantly. Must ensure they (1) show up, (2) match the target persona exactly, and (3) don't mysteriously vanish 5 minutes before the call. About the Role We're searching for a true unicorn: someone who can find perfect research participants… every time. They'll not only match the target persona with surgical precision, but also actually show up (on time, camera on, mic working). This role requires the patience of a saint, the persistence of a bounty hunter, and the scheduling powers of a time-zone wizard. If you've ever successfully convinced five strangers across three continents to all join the same Zoom call, we need you. Responsibilities Recruit participants who don't just "kind of" fit the persona, but who are the persona. Convince people to actually attend research sessions without bribing them with puppies. Manage calendars across 14 time zones while avoiding double-bookings with dentist appointments. Rescue researchers from the despair of last-minute cancellations. Magically predict when someone is going to ghost - and replace them in advance. Requirements: 7+ years of experience wrangling humans (cowboy background acceptable). Proven track record of reducing no-shows through charm, persistence, or sorcery. Comfortable working in spreadsheets with 200+ tabs and mysterious color codes. Ability to smile politely when someone cancels 30 seconds before the session. Expertise in global scheduling - bonus points if you know what time it is in Sydney right now. Telepathic skills for predicting participant flakiness strongly preferred. Compensation Unlimited coffee. Eternal gratitude from every UX researcher on earth. The satisfaction of making research actually happen. About Genway AI At Genway AI, we're reimagining how user research gets done. While we haven't yet mastered full-scale telepathy, our mission is to get as close as technology allows. We help research, product, marketing and innovation teams design, conduct, and synthesize studies in a fraction of the time. Our platform blends powerful AI agents with human judgment, unlocking faster insights and sharper decisions without sacrificing depth. If your answer is YES to all of the following - you should apply Can you schedule 5 participants across 3 continents without losing your sanity? Have you ever correctly predicted a no-show before it happened? Can you recruit someone who actually matches the research criteria on the first try? How many times have you heard "Sorry, I forgot about the session" this year? On a scale of 1-10, how confident are you in your ability to herd humans better than cats?
We're looking for a Senior Data Scientist who can translate ambiguous product questions into measurable experiments, robust models, and data‑driven strategy. You'll partner with engineering, product and design to unlock insights, prototype and ship machine‑learning solutions, and define the metrics that steer Genway's AI‑powered user‑research platform. Candidates should bring 5 + years of hands‑on experience deploying production ML/AI systems, leading A/B tests at scale, and mentoring others in a fast‑moving start‑up environment. Experience with generative AI or real‑time streaming data is a major advantage. Personal Requirements Bias for action & ownership - you're comfortable owning analyses end‑to‑end and influencing product roadmaps with data‑backed recommendations Curiosity & scientific rigor - formulate hypotheses, design experiments and measure impact with statistical discipline Strong communicator & team player – explain complex models to cross‑functional stakeholders and collaborate closely with engineers, PMs and designers Startup experience – thrive amid changing priorities and ship increments quickly to deliver business value Technical Requirements 5 + years building & deploying ML/AI models in Python (pandas, scikit‑learn, TensorFlow/PyTorch) Expert SQL skills plus familiarity with modern cloud data warehouses (BigQuery, Snowflake, Redshift) Statistical experimentation & causal inference - design, power and analyse A/B & multivariate tests Production‑grade data pipelines & MLOps - orchestrate batch/stream processing with tools like Airflow, Kafka or Spark; containerise and monitor models Generative AI & LLMs - fine‑tuning, prompt engineering and evaluation of transformer‑based models (nice‑to‑have but strongly valued) with tools like Sagemaker or Bedrock Data visualisation & storytelling - build dashboards (e.g., Looker, Metabase) and craft narratives that drive decisions Cloud engineering - hands‑on with at least one major provider (AWS, GCP, or Azure) and infrastructure‑as‑code practices Bonus points for experience with real‑time event streams, reinforcement-learning-based personalisation, or privacy‑preserving ML
We're seeking a Senior Full-Stack Developer with a passion for excellence, a collaborative spirit, and a background in Start-Ups. The ideal candidate should have 5+ years of experience in React and Python or NodeJS, along with a strong grasp of database systems and web application scalability, making experience in AI and modern stream processing paradigms a valuable plus. Personal Requirements Strive for excellence, bias for action, and collaboration with team members. Team player, strong communication skills, and empathetic. Comfortable working in a dynamic, agile environment. Experience working in Start-Ups - A big advantage. Technical Requirements 5+ years of experience with React. 5+ years of experience with Python or NodeJS. Hands-on experience with SQL & NoSQL databases such as Postgres, MySQL, MongoDB, Redis. Strong OOP/OOD + design patterns. Experience in design and implementation of highly scalable & distributed web applications & asynchronous executions concepts. Experience working on AI-led Product or Generative AI - A big advantage. Good understanding of modern Stream Processing and Event Sourcing paradigms - A big advantage.
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