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For Companies At a Glance
- Tasks: Lead product delivery from concept to launch, transforming customer needs into actionable specs.
- Company: Join a high-growth B2B startup revolutionising data intelligence with cutting-edge AI technology.
- Benefits: Competitive salary, equity options, and the chance to work directly with the CEO.
- Why this job: Be a key player in shaping innovative products that impact major enterprises daily.
- Qualifications: 5+ years in product or technical roles, with a strong background in data systems.
- Other info: Enjoy high autonomy and rapid growth in a dynamic, mission-driven environment.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Turn customer pull into shipped product across data + ML/AIBoam AI is a wellâfunded, highâgrowth, profitable B2B startup building managed data agents that transform messy, unstructured signals from public, private, and proprietary sources into structured, reliable, always upâtoâdate intelligence on millions of SMBs and enterprises worldwide. These agentic systems power CRMs, data warehouses, AI products, and missionâcritical decisions across the enterprise with strategic partners such as Uber Eats and Toast.
As a Technical Product Lead, you will be the first product hire and a handsâon driver for endâtoâend delivery across our data, engineering, and ML teams. This is a technical, executionâheavy role: you will work directly with the CEO and customerâfacing leaders to translate real enterprise workflows into clear specs, tight sequencing, and shipped outcomes. You will operate close to the metal: data pipelines, quality systems, schemas, APIs, and integrations. Expect high ownership, fast iteration, and direct exposure to marketâleading customers.
What You Will 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 nextâgen 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 dataâheavy systems: pipelines, schemas, APIs, integrations
- Proven ability to ship crossâfunctional work in fastâmoving 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 topâtier enterprise customers and real workflows
- Work on missionâcritical 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
- Topâtier compensation with meaningful equity upside
- Help shape product patterns and culture as we scale to 100x
Our Hiring Process
- Intro Call: Quick conversation to align on role, motivation, and expectations
- Deep Dive: Walk through products you shipped and how you drove decisions and execution
- Work Sample: A practical Boamâstyle product challenge (customer brief + PRDâlite + sequencing)
- Founder Conversation: Values, ownership, pace, and how you would grow with us as we scale
Remote (US): At this time, we are not accepting applications from candidates based in NJ, NY, IL, VT and MD.
Technical Product Lead in London employer: Boam AI
Contact Detail:
Boam AI Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Technical Product Lead in London
â¨Tip Number 1
Network like a pro! Reach out to folks in your industry, especially those who work at companies you're interested in. A friendly chat can lead to insider info and even referrals that could get your foot in the door.
â¨Tip Number 2
Prepare for interviews by diving deep into the companyâs products and services. Understand their tech stack and how they use data and AI. This will help you speak their language and show that you're genuinely interested in what they do.
â¨Tip Number 3
Donât just wait for job postings! Apply directly through our website and express your interest in roles that match your skills. Sometimes, being proactive can put you ahead of the competition.
â¨Tip Number 4
Follow up after interviews with a thank-you note that highlights something specific from your conversation. It shows youâre engaged and helps keep you top of mind as they make their decision.
We think you need these skills to ace Technical Product Lead in London
Some tips for your application đŤĄ
Show Your Technical Side: Make sure to highlight your technical background and experience with data-heavy systems. We want to see how you've tackled similar challenges in the past, so donât hold back on the details!
Be Clear and Concise: When turning customer problems into specs, clarity is key. Use straightforward language and structure your application to reflect how you can translate complex workflows into actionable tasks for our teams.
Demonstrate Ownership: We love candidates who take ownership of their work. Share examples of how you've driven projects from discovery to delivery, and how youâve ensured that outcomes align with customer needs.
Apply Through Our Website: Donât forget to apply through our website! Itâs the best way for us to keep track of your application and ensure it gets the attention it deserves. Weâre excited to see what you bring to the table!
How to prepare for a job interview at Boam AI
â¨Know Your Product Inside Out
Before the interview, make sure you understand Boam AI's products and how they transform data into actionable insights. Familiarise yourself with their customer base and the specific challenges they face. This will help you articulate how your experience aligns with their needs.
â¨Prepare for Technical Deep Dives
Given the technical nature of the role, be ready to discuss your experience with data pipelines, APIs, and integrations. Brush up on relevant technical concepts and be prepared to explain how you've successfully delivered similar projects in the past.
â¨Showcase Your Cross-Functional Collaboration Skills
Highlight examples from your previous roles where you worked closely with engineering, data, and ML teams. Be specific about how you translated customer needs into actionable specs and drove execution across different functions.
â¨Demonstrate Your Problem-Solving Mindset
Be prepared to discuss how you approach problem-solving in fast-paced environments. Share examples of how you've prioritised tasks, made trade-offs, and ensured high-quality outcomes that directly impacted customers.
