Technical Product Lead

Miami on site Until 8/21/2026 First posted March 18, 2026 Last posted March 18, 2026
Job description

Turn customer pull into shipped product across data + ML/AI

Boam 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 Do

  • Own delivery for key product initiatives from discovery to adoption

  • Turn customer problems into crisp specs, milestones, and shipped work

  • Partner daily with data, engineering, and ML to drive execution

  • Define requirements for data pipelines, quality, schemas, and APIs

  • Run tight feedback loops with customers and internal stakeholders

  • Track success metrics and ensure outcomes match the intent

  • Coordinate rollouts and enablement across customer workflows

  • Improve product rituals: planning, reviews, decision logs, and tradeoffs

  • Use next-gen AI tools to accelerate discovery and execution

You Might Be a Fit If...

  • 5+ years in product, technical program, or delivery roles on technical products

  • You can go deep with engineers and systems; a CS/Engineering background is a strong plus

  • Experience with data-heavy systems: pipelines, schemas, APIs, integrations

  • Proven ability to ship cross-functional work in fast-moving environments

  • Strong prioritization instincts and comfort making tradeoffs

  • High standards for quality, reliability, and customer impact

  • Thrive without heavy process, QA buffers, or endless safeguards

  • Motivated by real outcomes, not perfect docs or internal theater

  • Excited to work where AI/data is the product, not a side project

Why Boam AI

  • Be an early product hire with real ownership and direct CEO partnership

  • Direct exposure to top-tier enterprise customers and real workflows

  • Work on mission-critical data systems that customers rely on daily

  • High autonomy, fast learning, and steep growth curve

  • Operate at the intersection of AI, data infrastructure, and enterprise outcomes

  • Top-tier compensation with meaningful equity upside

  • Help shape product patterns and culture as we scale to 100x

Our Hiring Process

Our process is fast, structured, and transparent — built to respect your time and surface real mutual fit

1. Intro Call

Quick conversation to align on role, motivation, and expectations

2. Deep Dive

Walk through products you shipped and how you drove decisions and execution

3. Work Sample

A practical Boam-style product challenge (customer brief + PRD-lite + sequencing)

4. Founder Conversation

Values, ownership, pace, and how you’d grow with us as we scale

Remote (US)*: At this time, we're not accepting applications from candidates based in NJ, NY, IL, VT and MD.

About this role

Summary

Lead data, ML, and engineering teams to deliver enterprise AI products and solutions.

Job title

Technical Product Lead

Experience level

5+ years

Industry

software

Location requirements

Remote US, excluding NY, NJ, IL, VT, MD

Salary

Not specified

Management role

No

Skills & keywords

Required skills

product managementdata systemsAPIdata pipelinesschemasteam collaboration

Preferred skills

CS backgroundtechnical programfast environmentsAI focus

Specializations

data pipelinesML/AIAPIsdata schemasenterprise workflows
Locations

Structured locations inferred from the posting.

Unknown location

Remote