Product Manager

Tessera Labs•San Jose, CA

2d•$180,000 - $240,000

About The Position

Tessera Labs is redefining how enterprises adopt and operationalize Artificial Intelligence. Backed by Foundation Capital and led by a world-class founding team, we build multi-agent AI systems that automate complex business workflows across platforms such as SAP, Salesforce, Workday, Snowflake, MuleSoft, and more. Our mission is to bring real AI automation to the enterprise—delivering speed, precision, and measurable impact. We operate with extreme ownership, move quickly, and build at the frontier of applied AI. We are seeking a Product Manager to join our growing product organization. This role is a hands-on individual contributor position with high ownership and visibility, responsible for shaping product strategy and execution across key product areas. This role sits at the intersection of product management, data science, engineering, and customer outcomes, and is responsible for turning AI capabilities—LLMs, ML models, knowledge systems, and agentic workflows—into scalable, reliable, and valuable products. You will own AI-driven features end-to-end: from problem discovery and model-informed product strategy to execution, iteration, and measurable business impact. You will work closely with Engineering, Delivery, Sales, and GTM teams to define, prioritize, and deliver AI-driven enterprise products that solve real customer problems.

Requirements

Experience building and scaling B2B products
Strong background in ERP or enterprise platforms (e.g., Salesforce, SAP, Oracle, ServiceNow)
AI-first product mindset with experience building or launching AI-driven products
Comfortable build high-fidelity requirements with conceptual prototypes with tools like Cursor, Replit or Loveable
Excellent written and verbal communication skills
Strong analytical skills with a bias toward measurable outcomes and experimentation
Proven ability to think strategically, prioritize effectively, and exercise strong judgment
Deep understanding of agile product development methodologies
Strong collaboration skills across engineering, GTM, and customer-facing teams
Engineering-aware (comfortable discussing platforms, architectures, and tradeoffs without being hands-on coding)

Nice To Haves

Experience in one or more of the following product areas: Workflow engines, Data harmonization across multiple enterprise platforms, Industry-specific enterprise solutions, Code remediation or platform modernization
Strong product storytelling and go-to-market experience
UX sensibility and ability to visualize AI-driven user experiences

Responsibilities

Conduct market and customer analysis to identify pain points and unmet needs
Define product strategy, roadmap, and success metrics for assigned product areas
Identify high-value AI use cases and prioritize them based on ROI, feasibility, risk, and time-to-value
Work closely with customers, sales, and solutions teams to understand real-world workflows and pain points
Build clear, prioritized product requirements and translate them into an actionable engineering backlog
Partner closely with Engineering in an agile development environment to deliver high-quality features quickly
Provide ongoing feedback and clarification to engineering teams throughout the development lifecycle
Collaborate with Sales, Marketing, and GTM teams to support product positioning, storytelling, and launches
Work directly with customer teams during implementations to ensure successful product adoption
Act as a product leader—clearly articulating customer needs, tradeoffs, and priorities while driving execution