The Product Manager will lead product development, working with cross-functional teams, driving growth, and creating user experience frameworks.
Jarvis ML is a prediction engine that's always learning. It's also the easiest way for any company to leverage the data they already have to solve their hardest business problems. Together, the Jarvis ML team has 50+ years of Machine Learning experience at Google, having built the ML platforms for Google Ads & Google Payments. Now we're building something bigger :)
Product manager would lead our early efforts in creating products through iterations with customers solving real problems. PM would be involved in all aspects of bringing something to life in a 0 to 1 fashion in a young startup working with cross functional teams including engineers, sales and marketing folks. The right person thrives in ambiguity and strives for reducing chaos from the system by making iterative progress every day.
Responsibilities
- Create opportunities to drive growth of Jarvis ML by creating seamless user experience frameworks across all our products encouraging reuse.
- Understand customers needs across a range of businesses spanning different verticals (Ecommerce and Vacation rental management, for now)
- Form insights/solutions in product requirements and drive solutions to market in collaboration with Engineering, UX, Product Management, Legal, Privacy, and cross-product area partners.
- Employ analytics to understand and continuously improve upon performance of payment solutions (e.g., conversion rates, latency, declines, direct sales organization, contact rates, new products and solutions/customer satisfaction, etc.).
- Help with building a team of awesome product builders.
Minimum qualifications:
- Bachelor's degree in Computer Science, a related technical field of study, or equivalent practical experience
- 3+ years of experience in product management
- Experience defining product vision, creating and executing product roadmaps from conception to launch, defining go-to-market strategy, and leading design discussions
- Experience working with product development/engineering teams
Preferred qualifications:
- Experience in managing day-to-day product direction
- Knowledge of multiple functional areas such as Product Management, Engineering, UX/UI, Customer Support, or Marketing
- Ability to influence multiple stakeholders without direct authority
- Excellent analytical skills, a data-driven approach to decision-making, and a systems-thinking style when problem-solving
- Excellent written and verbal communication skills
Similar Jobs
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
Own the end-to-end product experience for AI coding agents integrating Deepgram: discovery, integration/onboarding, production use, verification, and feedback systems. Build measurement, experimentation, and optimization systems; define agent-specific developer platform requirements and prototype changes; turn agent traffic into rapid product improvements and run cross-functional execution.
Top Skills:
Agent HarnessesCliCloud ApisGitLlmsMcp ServerOn-PremisesReal-Time StreamingSdksSttTtsVoice Agents
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Own the end-to-end strategy and roadmap for ServiceNow's AI inference layer, including model selection/integration, vendor partnerships, inference cost and performance optimization, and regional/regulatory deployments across data centers and hyperscalers. Drive build-vs-buy decisions, GPU/unit economics, and cross-functional execution to scale enterprise AI deployments.
Top Skills:
Data SovereigntyGpuHyperscalers (Cloud Providers)Inference OptimizationLatency/Throughput OptimizationModel ServingMulti-Model RoutingOpen-Source Models
Artificial Intelligence • Information Technology • Internet of Things • Marketing Tech • Social Media • Software • SEO
Lead product strategy and execution for an AI-first enterprise marketing platform, drive customer value through technology and agentic capabilities, collaborate cross-functionally, own outcomes, and iterate on product innovation to keep brands visible across search and AI surfaces.
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
