Job Title: Technical Product Lead

Company Name: Boam AI

Job Details: RemoteFull,Time

Job Url: https://hiring.cafe/viewjob/nhn6r819p45tbbo0

Job Description: Posted 3mo agoTechnical Product Lead@ Boam AIView All JobsWebsiteMiami or Budapest or London or Toronto or North AmericaRemoteFull TimeResponsibilities:Own delivery, Turn problems, Partner teamsRequirements Summary:Lead product delivery for data/ML-driven enterprise software; collaborate with data, engineering, and ML teams; 5+ years in technical product roles; CS/Engineering background preferred.Technical Tools Mentioned:APIs, Data pipelines, SQL, Python, ML tooling, Cloud platforms
Turn customer pull into shipped product across data + ML/AIBoam AI is a well-funded, high-growth, profitable B2B startup building managed data agents that transform messy, unstructured signals from public, private, and proprietary sources into structured, reliable, always up-to-date intelligence on millions of SMBs and enterprises worldwide. These agentic systems power CRMs, data warehouses, AI products, and mission-critical decisions across the enterprise with strategic partners such as Uber Eats and Toast.As a Technical Product Lead, you’ll be the first product hire and a hands-on driver for end-to-end delivery across our data, engineering, and ML teams. This is a technical, execution-heavy role: you’ll work directly with the CEO and customer-facing leaders to translate real enterprise workflows into clear specs, tight sequencing, and shipped outcomes. You’ll operate close to the metal: data pipelines, quality systems, schemas, APIs, and integrations. Expect high ownership, fast iteration, and direct exposure to market-leading customers.What You’ll DoOwn delivery for key product initiatives from discovery to adoptionTurn customer problems into crisp specs, milestones, and shipped workPartner daily with data, engineering, and ML to drive executionDefine requirements for data pipelines, quality, schemas, and APIsRun tight feedback loops with customers and internal stakeholdersTrack success metrics and ensure outcomes match the intentCoordinate rollouts and enablement across customer workflowsImprove product rituals: planning, reviews, decision logs, and tradeoffsUse next-gen AI tools to accelerate discovery and executionYou Might Be a Fit If...5+ years in product, technical program, or delivery roles on technical productsYou can go deep with engineers and systems; a CS/Engineering background is a strong plusExperience with data-heavy systems: pipelines, schemas, APIs, integrationsProven ability to ship cross-functional work in fast-moving environmentsStrong prioritization instincts and comfort making tradeoffsHigh standards for quality, reliability, and customer impactThrive without heavy process, QA buffers, or endless safeguardsMotivated by real outcomes, not perfect docs or internal theaterExcited to work where AI/data is the product, not a side projectWhy Boam AIBe an early product hire with real ownership and direct CEO partnershipDirect exposure to top-tier enterprise customers and real workflowsWork on mission-critical data systems that customers rely on dailyHigh autonomy, fast learning, and steep growth curveOperate at the intersection of AI, data infrastructure, and enterprise outcomesTop-tier compensation with meaningful equity upsideHelp shape product patterns and culture as we scale to 100xOur Hiring ProcessOur process is fast, structured, and transparent — built to respect your time and surface real mutual fit1. Intro CallQuick conversation to align on role, motivation, and expectations2. Deep DiveWalk through products you shipped and how you drove decisions and execution3. Work SampleA practical Boam-style product challenge (customer brief + PRD-lite + sequencing)4. Founder ConversationValues, ownership, pace, and how you’d grow with us as we scaleApply between Dec 15, 2025 and Jan 10, 2026. After Jan 10, we’ll review all applications and quickly invite the candidates we’d like to take forward.Remote (US)*: At this time, we're not accepting applications from candidates based in NJ, NY, IL, VT and MD.