Own the AI use-case backlog and prioritize agent-assist scale-out. Translate business intent into Epics, Features, and User Stories with explicit acceptance criteria in Azure DevOps. Run sprint planning, refinement, reviews, and demos on a fast-paced AI-infused agile cadence. Leverage AI tooling to draft requirements, generate stories, and author acceptance criteria. Coordinate with stakeholders and transformation advisors to meet call reduction, AHT, and deflection targets.
- Own the AI use-case backlog for the pod, starting with the servicing agent-assist scale-out and prioritizing additional items from the backlog of AI pilots.
- Partner with internal Product Owner and PSL leadership team to define call reduction, AHT (average handle time), and deflection targets — cited the early benchmark of "90 seconds to 14 seconds" agent lookup time and signaled this is where ROI must be proven.
- Translate business intent into Epics, Features, and User Stories in Azure DevOps (ADO), the SOW-mandated system of record, with explicit Acceptance Criteria.
- Run sprint planning, refinement, sprint reviews, and demos in line with Photon's AI-infused agile cadence (1–2 week sprints, working toward 2-day sprints as the team matures).
- Operate as a "Vibe PO" — leveraging AI tooling for requirements drafting, story generation, and acceptance criteria authoring.
- Coordinate with the transformation advisor on ways-of-working alignment.
Compensation, Benefits and Duration
Minimum Compensation: USD 60,000
Maximum Compensation: USD 210,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is available for independent contractors
No applications will be considered if received more than 120 days after the date of this post
Photon San Francisco, California, USA Office
San Francisco, United States
Similar Jobs
Social Impact • Software
Owns core product areas across the full lifecycle, from discovery and strategy through execution, launch, and iteration. Conducts customer research, workflow analysis, usability testing, competitive research, and data analysis. Partners closely with engineering and design to deliver scalable user experiences, defines success metrics and instrumentation, and supports launches through messaging and cross-functional readiness. The role also requires hands-on AI experience and operates in a high-ownership, low-structure B2B SaaS environment.
Top Skills:
AICRM
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Drive product convergence analysis, manage requirements timelines, support legacy insurance book consolidation, and design cross-functional working models. The role partners with Product, Technology, Delivery, and Pricing teams to define property and specialty insurance requirements, shape transformation roadmaps, and keep complex initiatives aligned.
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Manage complex environmental, pollution, toxic tort, and mass litigation claims throughout the full lifecycle. Responsibilities include coverage analysis, liability investigation, reserving, litigation strategy, settlement negotiation, payment authorization, and claims denial decisions. The role manages defense counsel and consultants, collaborates with legal, underwriting, reinsurance, brokers, and policyholders, tracks regulatory and legal developments, mentors colleagues, and serves as an environmental claims subject matter expert.
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
