Principal Product Manager, AI Workflows

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of the outcomes for new AI experiences from the initial concept to proven value.

• Collaborate with engineering and design teams to establish the AI Workflows strategy.

• Identify team workflows where AI can enhance collaboration, alignment, and decision-making.

• Develop functional prototypes using contemporary AI tools such as Claude, Cursor, and Codex.

• Validate ideas with users before further investment is made.

• Define release hypotheses along with pass/fail criteria; determine whether to iterate, scale, or halt releases.

• Establish product-quality evaluations that assess usefulness, trust, and reliability.

• Collaborate with engineering and ML teams to decide when to use, route, adopt, or construct models.

• Comprehend workflow service costs and partner with growth and finance teams on metering and unit value.

• Create data loops that include collection, labeling, evaluations, and model work.

• Design engaging experiences for real multiplayer sessions.

• Engage with users weekly and integrate insights into product development.

• Align shipping decisions with design, engineering, marketing, sales, legal, and security teams.

• Disseminate successful practices throughout the product organization.

⛳️ Requirements

• Over 7 years of experience in product management.

• Successfully launched at least one AI product from concept to real-world users.

• Recent hands-on experience in building agentic or LLM-based products.

• Technical proficiency to design and interpret evaluations while collaborating with engineers and ML engineers on context management, latency, reliability, and failure modes.

• Strong judgment in comparing models, routing across them, adopting new models, and deciding when fine-tuning or creating a custom model is justified.

• Knowledge of AI unit economics, cost to serve, usage-based metering, and the margin impact of model decisions.

• Proven track record of launching, rebuilding, pivoting, and discontinuing ideas based on evidence.

• Capability to make high-stakes decisions with incomplete information and clearly articulate trade-offs.

• Experience in owning outcomes while closely collaborating with engineering and design leaders.

• Proficient in creating structure in the absence of an established playbook.

• Familiarity with collaboration or productivity software.

• Experience with forward-deployed or customer-embedded product initiatives.

• Knowledge of agent interoperability, including MCP.

• Must be legally authorized to work in the country of residence.

• Must not require employer sponsorship for the work location.

🏝️ Benefits

• Reasonable accommodation for individuals with disabilities during the application and interview process, as well as for performing essential job functions.

• Additional benefits and privileges associated with employment.