At a Glance
- Tasks: Lead a data squad to enhance product flows and partner integrations.
- Company: Join Reflexivity, an innovative AI-native investment analysis platform.
- Benefits: Competitive salary, dynamic work environment, and opportunities for growth.
- Other info: Exciting chance to work with major partners and shape the future of financial data.
- Why this job: Make a real impact in the finance tech space with cutting-edge AI tools.
- Qualifications: 3-5 years in PM or technical roles, strong communication and technical skills.
The predicted salary is between 50000 - 80000 £ per year.
About Reflexivity
Reflexivity builds an AI-native investment analysis platform for institutional investors, combining trusted financial data, knowledge graphs, document intelligence, and explainable AI to surface actionable insights instead of noise. Alfred, our financial reasoning engine, helps investment teams move from question to evidence-backed analysis faster - across research, screening, portfolio insights, scenario analysis, and partner integrations.
Why this role exists
Our data squad sits at the center of some of the company's most important relationships with major partners. Reflexivity consumes partner data across pricing, M&A, corporate events, fundamentals, ownership, news, and text documents - and also packages Reflexivity capabilities back into partner products, improving their surfaces with the intelligence we have built. The PM who built this motion is leaving for business school. We are looking for a sharp, technically fluent product owner to take it over, raise the bar, and keep the system scaling.
What you'll own
- You will lead the data squad - four engineers, two Python and two Golang - and act as the day-to-day product owner for the data and product flows between Reflexivity and major partners.
- The work splits roughly two ways, and today it leans outbound:
- Outbound: Take capabilities built inside Reflexivity and ship them into partner products. You will work closely with partner product and engineering teams to decide what to integrate, map their constraints to ours, and get production-grade functionality live inside someone else's environment.
- Inbound: Keep refining how Reflexivity ingests, models, and uses partner data on our own platform. You will own data-model mapping, business logic, and the QA bar.
A typical week
- Run a working session with a partner engineering team to align on schema mapping for a new dataset.
- Write a crisp spec for engineers on a corporate-actions edge case.
- QA last week's release against ground truth and decide what ships versus what holds.
- Partner with GTM on how to explain a coverage universe to clients.
- Use AI tooling such as Cursor, Claude, or Windsurf to prototype business logic before handing it to engineering.
- Make a judgment call on whether to push back on a partner ask or absorb it into the roadmap.
What we're looking for
- 3-5 years as a PM, TPM, or technical/data role with PM-shaped responsibilities. We do not need senior; we need sharp.
- Genuine technical fluency. You can read schemas, reason about APIs and data pipelines, talk to engineers as peers, and write specs that backend engineers can execute without multiple clarification rounds. You will not write production code.
- Comfort running external partnerships. You can lead a working session with another company's team and walk out with decisions, not vague action items. You can read the room when their internal constraints or politics are affecting the work.
- High tolerance for ambiguity. Financial data has a long tail of odd business rules and undocumented edge cases. You should enjoy chasing them down rather than waiting for someone else to define them.
- Daily user of AI assistants. You should already use Cursor, Claude, Windsurf, or similar tools to prototype logic, explore data, and codify business rules - not just to write emails. This is how the team works.
- Strong written communication. Specs, partner-facing docs, internal updates, release notes - the role is half writing.
- A QA mindset. You think about how systems break before they break, and you build the muscle to catch regressions early.
Nice to have
- Background in financial data - market data, fundamentals, corporate actions, ownership, news, research, or alternative data from providers such as Bloomberg, FactSet, S&P Global, Moody's, ICE, Nasdaq, Cboe, or similar.
- Experience as a data or technical PM at an early-stage startup, where the role spans well beyond its formal description.
- CS, math, finance, or quantitative degree - or a self-taught track record that proves the same thing.
Salary Range: £50,000 - £80,000 GBP
Product Manager, Data, London employer: Reflexivity
Reflexivity is an exceptional employer that fosters a dynamic and innovative work culture, particularly for the Product Manager role in London. With a focus on cutting-edge AI technology and strong partnerships, employees benefit from collaborative teamwork, opportunities for professional growth, and the chance to make a significant impact in the financial data landscape. The company values technical fluency and encourages the use of AI tools, ensuring that team members are equipped to thrive in a fast-paced environment while contributing to meaningful projects.
StudySmarter Expert Advice🤫
We think this is how you could land Product Manager, Data, London
✨Join Product Management Meetups
Get involved in local product management meetups or workshops. These events are perfect for meeting industry folks, sharing ideas, and staying updated on trends. Plus, you never know who might be hiring—it's a fantastic way to make connections that could lead to a job at places like Reflexivity!
✨Show Off Your Product Sense
Create case studies or mini-projects showcasing your product management skills, and share them on platforms like Medium or LinkedIn. This not only puts your skills on display but also boosts your visibility in the product community. Imagine how impressed the hiring team at Reflexivity would be by your initiative!
✨Utilise Online Communities
Dive into online product management communities like Product Coalition or Mind the Product. Engage in discussions, ask questions, and share your insights. These platforms are goldmines for networking and finding hidden job opportunities—many companies often scout talent from within these circles.
✨Leverage Your University Network
If you’ve recently graduated or are still in uni, tap into your alumni network for connections in product management. Many universities have their own job boards and affinity resources to help graduates land roles. Don't forget to keep an eye out for job openings at Reflexivity through your school's career services!
We think you need these skills to ace Product Manager, Data, London
Some tips for your application 🫡
Show Off Your Product Passion:When applying for a product management role like Product Manager, Data, London, let your passion for developing products shine through in your cover letter. Share specific examples of products you've managed, how you solved user needs, and any successful outcomes you've achieved. This is your chance to showcase your understanding of the product lifecycle!
Highlight Your Cross-Functional Skills:Product management isn't just about understanding the product; it’s about collaborating with different teams! Make sure to emphasise your experience working with developers, designers, and marketers. Use your CV to showcase your ability to bridge gaps between these areas, and include relevant experiences that demonstrate your communication and leadership skills!
Include Your Metrics and Achievements:In a full-time product management application, data speaks volumes! Quantify your achievements wherever possible. Did you increase user retention by a certain percentage? Launch a product ahead of schedule? Include these metrics in your CV to paint a picture of your impact and effectiveness in previous roles.
Tailor Your CV to the Role:Make sure your CV is tailored for the Product Manager, Data, London position at Reflexivity. Use keywords from the job description and ensure your relevant experiences are front and centre. Highlight any certifications or relevant training you’ve completed that will make you stand out as a strong candidate for the role. And remember, we’re excited to see your application on our website!
How to prepare for a job interview at Reflexivity
✨Understand the Product Life Cycle
As a product management candidate, we need to get our head around the complete product life cycle. Be prepared to discuss real-world examples of how you’ve managed product development from ideation to launch. Bring specific insights on tools like JIRA or Trello that can help streamline these processes.
✨Showcase Your Cross-Functional Skills
Product management is all about collaboration. We should be ready to highlight how we’ve worked across teams—think marketing, engineering, and design. Prepare to discuss scenarios where you had to mediate differing opinions and how you got everyone on board with a shared vision.
✨Prepare for Case Studies
In a full-time role, we can expect to encounter case study questions during our interviews. Practise solving hypothetical product problems on the spot, such as prioritising features for a new app or improving user engagement metrics. This will show our analytical thinking and decision-making skills.
✨Know Your Metrics
Let’s face it, numbers are our best friends in product management. We should prepare to discuss key performance indicators (KPIs) and how we've used analytics to inform product decisions. Dive into examples where data has driven our strategy for improvements or justified product changes.
