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Own Mercor’s APEX AI evaluation product, including roadmap, benchmark portfolio, public and private leaderboards, evaluation integrity, and end-to-end infrastructure. Partner with research, engineering, operations, GTM teams, frontier AI labs, and enterprise customers to develop trusted benchmarks, communicate results, drive adoption, and connect evaluation demand to business impact. Write product specifications, analyze evaluation failures, and improve platform capabilities hands-on.

Lead the strategy, roadmap, and growth of Horizon3’s Tripwires threat detection and deception product. Own detection fidelity, deployment coverage, alerting, integrations, dashboards, analyst workflows, customer insight, and commercial outcomes. Partner with Engineering, Design, Sales, Marketing, Customer Success, and Security teams to deliver precise, low-noise alerts and integrate Tripwires with SOC response workflows. Define product metrics, influence executive direction, and guide launches and adoption.

Own end-to-end product execution across SaaS, APIs, payments, and infrastructure. Responsibilities include user discovery, roadmap prioritization, rapid delivery, cross-functional collaboration with Design and Engineering, GTM support, product metrics management, and designing scalable experiences across backend and UI layers. The role requires building API-first products at scale, clarifying complex problems, prioritizing effectively, and delivering measurable user outcomes in an ambiguous environment.

Own the strategy, roadmap, business performance, and value delivery for WebCenter PLMS, an enterprise SaaS product serving regulated Life Sciences customers. Translate customer and regulatory needs into prioritized requirements, initiatives, and product investments. Lead discovery, business cases, launches, adoption, pricing, positioning, partnerships, and cross-functional alignment with Product, R&D, Sales, Marketing, and regional teams. The role is remote within the US Eastern time zone, with approximately 10% travel and an onsite immersion program.

Own product areas for an AI-powered neobank across insurance, payments, savings, investing, travel, and other financial services. Define user problems, product scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial workflows; and use research, feedback, experiments, and performance data to drive continuous product improvements.

Own TLDR’s Applied AI product function, triaging requests, translating business problems into build-ready specifications, redesigning processes into agentic workflows, and managing the roadmap and lifecycle of internal command centers and tools. The role partners with strategy, operations, and AI engineering teams, prioritizes automation opportunities, drives adoption, and helps shift company work from manual processes to AI-enabled workflows.

Own AI Investing product areas across financial services, defining user problems, product scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial journeys. Use data, research, feedback, experiments, and production issues to guide decisions, launch features, monitor performance, and drive continuous iteration while balancing speed, user experience, business impact, compliance, and operational complexity.

Own AI Finance product areas across insurance, payments, savings, investing, travel, and related services. Define user problems, product scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify financial workflows; analyze feedback and performance; and continuously iterate while balancing speed, user experience, business impact, compliance, and operational complexity.

Owns the strategy, roadmap, development, and adoption of financial data products and APIs. Partners with data science and engineering to integrate predictive and machine-learning models into scalable, trustworthy capabilities. Defines quality metrics, requirements, documentation, and support models while ensuring privacy, security, regulatory compliance, and downstream adoption across consumer and business banking products.

Own product areas within BJAK’s AI Stockbroking and broader financial services portfolio. Define user problems, product direction, scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial products, launch features, monitor performance, and iterate based on data, research, feedback, and production issues. Balance speed, user experience, business impact, compliance, and operational complexity.

Lead end-to-end product development for a consumer mobile feature area: define requirements, partner with engineering and design, use AI tools for prototyping and research, track activation/retention/conversion metrics, ensure compliance with privacy and eligibility rules, and coordinate with external partners to launch and iterate at scale.

Manage vendor relationships and operational delivery for Blue Shield's transactional/print outputs (initially ODS). Own backlog, SLA and compliance monitoring, incident and contract management, and stakeholder liaison. Use Jira/Confluence, Excel/Tableau, and vendor-specific platforms to drive KPIs, reporting, invoice reconciliation, and continuous improvement while supporting agile ceremonies and expanding vendor scope over time.

Lead OpenAI's legal-industry product work: define strategy and roadmap, translate customer and model evidence into requirements, and drive cross-functional execution to take AI products from concept to real-world use while ensuring trust and collaboration.

Lead development of firewall, routing, and SD-WAN features (VPNs, BGP, ACLs, DNS security, IDS/IPS). Collaborate with firmware, backend, frontend, models, and QE teams to prioritize customer outcomes, triage support and QA issues, run roadmaps and customer QBRs, and deliver stable, deployable releases.

Lead strategy, roadmap, and business performance for a core AI infrastructure product area. Drive customer research, KPI-driven roadmaps, business cases, cross-functional launches, and measurable outcomes for adoption, retention, revenue, and platform expansion.

Own multi-year product vision and roadmap for Coinbase's core cloud infrastructure and reliability. Define SLOs, capacity planning, failover, and incident reduction targets; evaluate and adopt technologies (Kubernetes, service mesh, IaC, observability); build self-serve platform capabilities; partner with Engineering, SRE, Security, and Finance to optimize cost, compliance, and performance; translate infrastructure metrics into executive investment cases.

Own the internal AI enablement product experience across Finance, RevOps, People, Recruiting, Customer Success, Marketing, and Legal. Map workflows, identify high-value automation opportunities, build and ship agentic tools, establish evaluation and production processes, measure adoption and ROI, and drive responsible adoption through workshops, onboarding, office hours, and coaching.

Own product areas within AI Investing and related financial services, defining user problems, product direction, roadmaps, metrics, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial products. Launch features, monitor performance, use data and feedback to drive iterations, and balance speed, user experience, business impact, compliance, and operational complexity.

Manage the Ads product and platform lifecycle, define AI strategies, drive measurement and insights, and lead a PM team for performance marketing.

Own the vision, architecture, roadmap, and execution of AI Teams for enterprise spend management. Design reliable, explainable agent workflows for invoice matching, vendor onboarding, contracts, disputes, and payments. Partner with engineering, data science, UX, and go-to-market teams to build evaluation, observability, training, and feedback systems. Lead customer discovery and technical discussions with Fortune 100 executives, while producing product documentation and demonstrations.

Lead AI-driven localization product initiatives from concept through production. Build strategic roadmaps, incubate machine-learning capabilities, partner with researchers and engineers, and deliver scalable tools for creators and content operations. Translate user needs into impactful products, communicate strategy to executives and nontechnical stakeholders, and use data, experimentation, and ML evaluation to prioritize work and measure outcomes.

Own AI Finance product areas across insurance, payments, savings, investing, travel, and other financial services. Define user problems, scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial journeys; and use research, feedback, experiments, and performance data to iterate rapidly after launch.

Lead product strategy, roadmap, and execution for a lending product area. Partner with engineering, design, credit risk, legal, compliance, operations, data, and commercial teams to define customer-centric lending solutions from concept through launch and iteration. Translate credit, regulatory, and operational requirements into scalable product experiences, define success metrics, analyze performance, and improve conversion, unit economics, and risk outcomes. Stay close to market trends and customer needs in SME banking, embedded finance, and lending.

Lead Ads product strategy and roadmap, integrate paid media with CRM, partner with AI teams for intelligent campaign features, navigate ad-platform APIs and privacy constraints, use data-driven decision-making, and drive cross-functional execution from concept through launch to connect ad spend to revenue.

Define product strategy, vision, roadmaps, success metrics, and delivery plans for complex client engagements. Lead discovery, prioritization, stakeholder alignment, executive communication, and cross-functional collaboration across engineering, design, delivery, and strategy. Build trusted client relationships, facilitate workshops, mentor PMs, establish delivery standards, and resolve complex product and technical challenges. Apply AI tools such as Claude to accelerate research, discovery, synthesis, and documentation.