Senior Product Manager, Inference
Leads growth initiatives for AI inference products, running experiments on onboarding, pricing, and messaging to boost activation, retention, and viral loops for developer users. Requires 5+ years PM experience, strong analytics, and AI/ML curiosity.
About the job
What You’ll Do
- Identify and execute growth levers across activation, retention, and referral
- Lead experiments across onboarding, sign-up flows, pricing pages, and messaging
- Deep empathy for technical users and an understanding of developer needs, docs, APIs, and integration pain points
- “Learning to see” so that you can design intuitive user flows and coach an engineering team to ship higher quality products faster and drive adoption that remains in line with our brand guidelines.
- Collaborate with design and engineering to rapidly test hypotheses
- Use data to uncover friction in the developer journey and remove it
- Partner with marketing and community teams to drive traffic, increase activation, and build viral loops via docs, tutorials, and forums
- Track and move metrics like DAU/MAU, Time to value, Activation %, PQLs, and expansion revenue
- Build with speed learning from failure, doubling down on what works
What You’ll Need
- 5+ years of product management experience in high-growth, fast-paced environments, 2+ years in consumer/developer products with a trial to paid motion
- Bias for action and shipping, paired with the ability to think strategically
- Proven track record running A/B tests and using data to drive decisions
- Strong analytical skills; comfortable with product instrumentation, metrics, and dashboards
- A sincere curiosity for the AI/ML space that enable you to go deep into the technical subject matter in order to better understand our customers and their challenges
- Excellent product judgment and a feel for what makes UX “click”
- Demonstrates a strong willingness to learn, adapt, and improve by actively seeking and applying feedback from peers, leaders, and customers. Able to adjust approaches based on constructive criticism to drive personal and team growth.
- Comfortable with technical concepts and able to work closely with engineering teams to define product specifications and address technical challenges. Direct experience with model training and inference is a plus.
- Have a Bachelor's degree in Computer Science, Engineering, or related field
Bonus: Experience with growth loops, referrals, pricing experiments, or viral acquisition
Compensation: Anticipated annual base salary range: $160,000—$275,000 USD. Includes discretionary bonus, equity, and comprehensive benefits.
Skills
A/B Testing, Product Analytics, Metrics, Dashboards, APIs, AI/ML, Model Inference, Growth Loops, User Onboarding, Pricing Experiments
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