[All remote jobs](https://jobicy.com/jobs.md)[![ANGI logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2021/09/50cccf084c34089de2274f72e18841d0.jpg)](https://jobicy.com/company/angi.md)[ANGI](https://jobicy.com/company/angi.md) # Senior Product Manager, Data Infrastructure AI Summary Angi is seeking a Senior Product Manager to set product direction for its data infrastructure platform. The role covers governed data access, orchestration, self-service ingestion, legacy-platform retirement, compute-cost optimization, and multi-engine compute strategy. This PM will partner closely with data engineering, platform teams, leadership, and teams developing agentic AI workflows. The position requires substantial technical judgment, ownership of complex cross-team migrations, and clear communication focused on outcomes rather than task-level management.[Apply for this job](#job-application)[View company](https://jobicy.com/company/angi.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md)SalaryUSD 150k–235k / yrDepartment[Product & Operations](https://jobicy.com/categories/management.md)EmploymentFull TimeExperienceSeniorPublished7 Nov 2026Apply before7 Dec 2026Listing views33Application actions1Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. Opportunity details ## About this role. For over 30 years, [Angi](https://jobicy.com/company/angi.md) has powered the future of the home services industry, creating an environment where homeowners and pros benefit from more jobs done well. For homeowners, our platform is a reliable way to find skilled pros. For pros, we’re a reliable business partner who helps them find the winnable work they want, when they want. For employees, we’re an amazing place to call home. We can’t wait to welcome you. Angi at a glance: * Founded in 1995 as Angie’s List and rebranded in 2021 * Global company with 9 brands in 8 countries and employees worldwide * Homeowners have turned to us for 300 million home projects and counting ### About the Team Data Infrastructure builds the platform that every other data team stands on: access to shared data, orchestration, data ingestion, and the retirement of systems the company has outgrown. Every layer of this platform exists to make it easier for a homeowner to hire an Angi Pro, on one certified source of truth that people and AI agents can trust equally. The team’s strategy is built around one idea: this platform should feel like a self-service product, not a ticket queue, for the engineers and analysts who depend on it, and increasingly for the AI agents who depend on it too. Angi is moving toward AI agents as a normal way of building and operating, and every agent that touches company data comes through this platform first. This role stewards that platform’s product direction. ### What You’ll Do Product Management * Manage governed platform access – give engineers, analysts, and services safe, auditable access to shared data, and make the safe path the easy path. * Streamline orchestration and scheduling – bring fragmented scheduling tools together into one system every team reaches for by default, and use AI-assisted tooling to migrate jobs faster, with less manual engineering effort. * Drive data ingestion and replication – define what self-service ingestion looks like for teams who want to bring their own data onto the platform, and build toward that. * Oversee legacy system retirement – close out systems that are no longer the source of truth, with clear ownership handed off at every step. * Optimize compute cost efficiency – find where cost comes from habit rather than real need, and bring it down without anyone losing the developer experience they rely on. * Advance compute strategy diversification – help move the platform toward a storage layer that works with more than one compute engine, so each workload runs on the engine built for it. * Build the platform’s AI-ready substrate – make agentic workflows safe by default, with the same governed access and audit trail for an agent as for a person. Execution and Individual Contribution * Use AI agents in your own daily work, set clear norms so the engineers and peers around you feel safe experimenting with agents and agentic workflows. * Protect the team’s focus and drive real rigor without micromanaging how the work gets done. Steward outcomes, not tasks. * Build trust across engineering, domain teams, and leadership through empathetic, transparent, and clear communication when addressing complex challenges. * Work closely with Data Engineering’s other delivery teams – Data Mesh Enablement and Managed Data Products – and with the team building Angi’s agentic workflows, toward one overall technical strategy. ### Who You Are Minimum Qualifications * Five or more years of product management experience on a data or infrastructure platform team, where you stewarded technical roadmaps directly. * Comfortable reading system architecture and pipeline dependencies well enough to make real sequencing calls with engineering. * A record of taking cross-team migrations and retirements all the way to done, not just to a plan. * Transparent about areas of growth and open to learning, rather than presenting incomplete information as fully resolved under pressure. Preferred Qualifications * Experience weighing compute cost against performance and developer experience, and driving that tradeoff to a decision rather than just planning around it. * Working knowledge of how AI agents consume data and tools differently from people, and judgment on when a vendor’s own agent layer already covers a need. * A proactive approach to navigating and understanding new technical systems, key contacts, and open questions independently. ### Compensation & Benefits * The base salary band for this position ranges from $150,000 – $235,000, commensurate with experience and performance. Compensation may vary based on factors such as geographic location. * This position will be eligible for a competitive year end performance bonus & equity package. * Full medical, dental, vision package to fit your needs. * Flexible vacation policy; work hard and take time when you need it. * Pet discount plans & retirement plan with company match (401K). * The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world. We value diversity We know that the best ideas come from teams where diverse points of view uncover new solutions to hard problems. We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences. Our hiring process may utilize artificial intelligence (AI) tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making. #LI-Remote Show more [Apply now >](https://jobicy.com/jobs/159496-senior-product-manager-data-infrastructure.md) * ![Upload CV](data:image/svg+xml;base64,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) ### Upload your resume now To unlock remote work opportunities and be discovered by global employers. This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 4/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a senior technical product role spanning foundational data-platform capabilities, architectural trade-offs, and organization-wide migrations. Success requires independent prioritization and the ability to make credible sequencing decisions with engineering partners. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per year)Market rate$192,500US market range (per year)$165k–$240k0$264k AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer discloses a base-salary range of $150,000–$235,000 USD. The yearly cadence is inferred from the magnitude of the stated US full-time senior-product base-pay range. The estimated US market range for a senior technical product manager focused on data infrastructure is $165,000–$240,000 USD per year; bonus and equity are excluded from these base-pay figures. ## Core skills Skills and capabilities most closely associated with this opportunity. [Product management](https://jobicy.com/jobs?search_keywords=Product%20management.md)[Data infrastructure](https://jobicy.com/jobs?search_keywords=Data%20infrastructure.md)[Data platform strategy](https://jobicy.com/jobs?search_keywords=Data%20platform%20strategy.md)[Data governance](https://jobicy.com/jobs?search_keywords=Data%20governance.md)[Data access management](https://jobicy.com/jobs?search_keywords=Data%20access%20management.md)[Workflow orchestration](https://jobicy.com/jobs?search_keywords=Workflow%20orchestration.md)[Data ingestion](https://jobicy.com/jobs?search_keywords=Data%20ingestion.md)[Data replication](https://jobicy.com/jobs?search_keywords=Data%20replication.md)[Legacy system migration](https://jobicy.com/jobs?search_keywords=Legacy%20system%20migration.md)[Cloud cost optimization](https://jobicy.com/jobs?search_keywords=Cloud%20cost%20optimization.md)[Technical roadmapping](https://jobicy.com/jobs?search_keywords=Technical%20roadmapping.md)[AI agents](https://jobicy.com/jobs?search_keywords=AI%20agents.md)[Cross-functional leadership](https://jobicy.com/jobs?search_keywords=Cross-functional%20leadership.md) Sample interview questionsHow would you prioritize governed access, orchestration consolidation, and self-service data ingestion on a shared data platform?I would assess each initiative against risk reduction, user impact, dependency order, engineering effort, and measurable business value. I would then define a sequenced roadmap that first establishes essential governance and platform primitives while delivering incremental improvements to the highest-volume user workflows. Describe how you would lead a migration away from a legacy data system. I would begin by mapping consumers, data dependencies, ownership, service-level expectations, and retirement risks. I would define migration cohorts, success criteria, clear accountable owners, and a decommissioning date, while using adoption and data-quality metrics to ensure the replacement is genuinely ready before retiring the legacy system. How do you make compute-cost decisions without harming developer experience? I would segment costs by workload, usage pattern, and business criticality, then identify waste such as inefficient scheduling, idle resources, or mismatched compute engines. Proposed changes would be validated through performance and reliability guardrails, with developer feedback and adoption metrics included in the decision. What product considerations are important when enabling AI agents to use company data? AI agents should receive least-privilege, auditable, policy-controlled access comparable to or stricter than human access. I would focus on identity, authorization, lineage, observability, tool boundaries, evaluation workflows, and clear escalation paths for high-risk actions. How do you communicate a difficult technical trade-off to executives and engineering teams? I frame the decision around the customer or platform outcome, explain the viable options and their consequences, and make assumptions and risks explicit. I tailor technical depth to the audience, document the decision, and align on measurable indicators that show whether the chosen path is working. Next step ## Apply now. 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