Jamie Boyle

I have 17 years experience in high-growth tech companies, including two unicorns. I combine hands on work with advising CEOs, CTOs and Product Managers typically in earlier stage or high growth companies (finding product-market fit, scaling rapidly etc). I’m approachable, easy going and good at helping to figure out solutions to tricky problems. While my experience is broad, I bias towards data, AI and more technical problem spaces.

• 

  Advice on funding

  I have worked in a variety of startups and growth companies from the earliest stages to IPO. I can help advise on fundraising at pre-seed, seed, series A etc. Not just working out pitch materials, slide decks, business case, but also an overarching process to go through for fundraising. I can also help challenge you with mock interviews.

• 

  Artificial intelligence

  Related to skills around data science, I am also active with AI (LLMs, chatgpt, claude, hugging face, RAG, pipelines, MCP, agents etc). I have worked on various projects related to adding AI as well as AI driven startups. Rather than focusing on the deeply technical (which I am abreast of), I tend to work with people on the strategy around implementing AI improvements e.g. feasibility, risk, incremental development, architecture, return on investment.

• 

  Building a team

  I bring experience building and structuring teams. I have worked in various roles from deciding hiring, team structure, turning around broken teams, performance management (including firing), culture, motivation, training etc. Some of the more extreme cases was helping scale from 30 to 300 in a very short period, being dropped last minute into failing teams and having to turn them around, working across all teams in a company to improve planning.

• 

  Data science

  I have experience managing a variety of data engineering, BI and data science teams / projects. AI, machine learning (ML), anomaly detection, data pipelines, route optimisation, operations research, dashboards, data visualization etc. While I'm not a true data scientist, I do go a lot deeper than most and understand a lot of the stack. I bring a mix of hands on experience (regularly using Python, Jupyter, Pandas etc), and experience managing the complex and risky projects.

• 

  Imposter syndrome

  An area that I often help mentees is building self confidence, whether driven by imposter syndrome or other uncertainty. Often this is around decision making - coming to a conclusion, having confidence in that conclusion - and communication of decisions with confidence.

• 

  Leadership

  I have worked at senior levels and advised CEOs, CPOs / Head of Products, CTOs on leadership. Typical themes that I advise on are strategy, changing roles (e.g. IC to leader), setting vision, communication, prioritisation, fund raising, entering new markets, expansion, decision making.

• 

  Product analytics

  Related to my interest in Data Science and Product Management, I go deep on product analytics. Defining metrics, conversion funnels, marketing attribution, financials / business model (LTV, CAC), retention, churn, linking to potential product changes, cohorts, AB testing, persona / segmentation, data quality etc. I can help with defining metrics, setting up a system so that you can track / monitor, performing the analysis, deriving actionable insights and communicating so they get acted on.

• 

  Product management

  I am an experienced Product Manager who has worked across a wide variety of teams as an IC, a manager and as a Head of Product / CPO. I am strong on strategy, planning and prioritisation, stakeholder management, working with team and team structuring, scaling / growth. Compared to other PMs, I am more technical and a lot of my experience is in data / machine learning / AI space. I have worked on product with high technical risk and market risk (finding product market fit, startups).

• 

  Product market fit

  I have worked extensively on developing new products and startup companies, successfully taking ideas from 0->1 finding Product Market Fit, not just scaling. I have experience in finding early customers, validating hypotheses and providing objective evidence to support intuitions. To me, finding product market fit is about a mix of art and science. Beyond inspiration, I bring structure. Setting clear experiments, defining metrics, reducing the subjectivity, increasing certainty.