Senior Product Manager
Confirmed on the employer's own hiring board on Nov 11, 2026. First seen by Alion on Nov 11, 2026.
The private markets are a multi-trillion-dollar powerhouse that funds everything from tech startups to major infrastructure projects, yet much of it still operates on fragmented, inefficient legacy systems. At Anduin, we're changing that. The Anduin platform is built for the complete investor experience. We're not just improving a process; we're creating a better way for the entire industry to operate.
The Anduin Platform has supported over $205 billion in capital raised, helping more than 1,180 funds and 64,000 investors transact in a more efficient and investor-friendly way. This remarkable traction is a testament to the powerful, tangible value we deliver to our clients every day, solidifying our position as a leader in the financial technology space.
We're a global team of over 140 talented individuals with deep private market expertise across North America, Europe, and Asia. Since our founding in 2014, we've remained focused on our mission to revolutionize investing in alts and empower LP-GP relationships. If you're ready to join a team that is transforming an entire industry and making a real impact, we encourage you to apply.
The role
We're hiring a Senior Product Manager to own a product area in Anduin's suite end to end: strategy, roadmap, discovery, delivery and launch. You'll lead a small team of product people and work daily with design, engineering, CS and GTM.
Private markets fund much of the world's innovation, yet still run on email, PDFs and spreadsheets. Anduin replaces that with connected infrastructure. Firms managing $7T+ in assets use Anduin, and $265B+ has been raised through the platform by 76K+ investors.
The suite covers the full investor lifecycle: Fund Subscription, Data Room, Investor Portal, Investor Data Management, Data Extraction, Integration Hub and Engagement Hub. Customers are GPs, fund administrators, law firms and the LPs who invest with them. The workflows are dense, regulated and full of hand-offs, which is exactly where good product judgement compounds.
We'll match your initial scope to where the business needs it most and where you're strongest. What doesn't change: the products share services, data and AI capabilities, so whatever you own, you'll be building pieces the rest of the suite reuses.
This is a hands-on role. You'll build prototypes yourself with AI tools, put them in front of customers within days, and decide what dies and what gets doubled down on. If your best work happens in a ticket queue, this isn't the job.
What you'll own
You own the outcome of your product, not a backlog. Within 12 months, we expect you to have:
A roadmap you can defend. Built from a clear model of the customer workflow, our company goals and the evidence you've gathered, with explicit bets and explicit cuts.
Shipped measurable change. Features in production that move adoption, efficiency or revenue metrics you defined up front.
A fast validation loop. Prototype to customer feedback in days, not quarters, with a visible record of ideas killed and ideas scaled.
Adoption, not just launches. Launch plans run with marketing, CS and GTM ready to sell and support, and usage that keeps growing after release.
A team that multiplies your impact. Each person you lead owns a meaningful slice of the product.
What you'll do
Understand the problem better than anyone
Break down complex private-markets workflows (subscriptions, onboarding, compliance, LP servicing) into actors, steps, hand-offs and failure points, fast, even if the domain is new to you.
Run discovery directly with GPs, fund admins, law firms and LPs. Find the real pain, not the stated request.
Process feedback at scale: support tickets, call transcripts, NPS, usage data. Use AI to synthesise it, then apply your own judgement to what matters.
Decide what to build, and what not to
Turn company goals and customer evidence into a roadmap for your product scope, with clear trade-offs.
Frame bets as hypotheses with a kill criterion. Cut unpromising ideas early and double down on the ones that show traction.
Say no often, and explain why in a way engineering, sales and leadership can act on.
Build and validate fast
Prototype yourself using AI tools (e.g. Claude, Cursor, v0, Figma Make, Lovable) to make ideas tangible within hours.
Put prototypes in front of customers, read the signal honestly, iterate.
Work hand in hand with design and engineering on proofs of concept, then on production builds.
Build AI into the product, not just your workflow
Design features where AI does real work for customers: extracting data from fund documents, reviewing subscriptions, answering investor questions, running agentic workflows.
Decide where AI fits and where it doesn't, based on what models are good and bad at, the cost of an error, and when a human must stay in the loop.
Define what good looks like: build evaluation sets with real customer cases, set quality thresholds, and decide when a model is ready to ship.
Work with engineering on the pipeline end to end: inputs, retrieval, prompts, model choice, guardrails, monitoring, and the feedback loop that improves it.
Track AI quality, cost and latency in production, and act when they drift.
Design solutions that scale
Think in reusable services and layers: identity, permissions, documents, data, workflow, AI. Compose workflows from shared building blocks instead of building each one from scratch.
Spot when a customer request is a configuration of something we have, a new reusable capability, or a one-off, and make the call deliberately.
Understand the platform well enough to propose solutions that fit it and to challenge engineering on design choices.
Guide UX quality: flows, information density, edge cases, error states. You don't need to be a designer, but you need taste and you need to give specific feedback.
Launch it and drive adoption
Build the launch plan with marketing: who it's for, positioning and messaging, channels, timing, and what success looks like.
Work with CS and GTM on demo flows, training, help content and support playbooks.
Drive adoption after launch: set adoption targets, track usage, find where customers stall, and fix it in the product or in enablement.
Join customer and prospect calls when the product needs a product voice.
Lead a small team
Oversee a few people, from junior PMs to product analysts, as a player-coach: delegate real ownership, review their work, raise their bar.
Your impact is measured by what the team ships, not just what you ship yourself. You still lead from inside the work, not above it.
What you bring
5+ years in product management, including end-to-end ownership of a B2B product or major product area, with outcomes you can quantify.
Sharp judgement. You can show decisions you made with incomplete data, what you killed, and what you'd do differently.
Structured thinking. You decompose a messy workflow into a clear problem statement and a set of options in a single whiteboard session.
Clear, concise communication in English, in writing and in the room, with engineers, customers and executives alike. You get to the point.
Systems thinking. You design in reusable services and layers, not one-off features, and you can explain the trade-off when you choose otherwise.
Hands-on with AI tools. You already use AI daily to prototype, analyse feedback, write specs and speed up your own work. You can show us things you've built.
Understanding of AI systems. You've shipped or closely shaped an AI-powered feature. You know how evaluation, pipelines, retrieval and guardrails work, and where current models fail. You don't need to train models, but you need to know what good looks like and how to measure it.
UX sense. You can critique a flow and articulate specifically what is wrong and why.
Customer-facing confidence. You can run a discovery call with a sophisticated finance professional and earn their trust.
Player-coach experience. You've mentored or led junior PMs, analysts or associates while staying hands-on.
This role is not for you if
Your main output is well-groomed Jira tickets, sprint ceremonies and story-point tracking.
You see yourself primarily as a process or people manager rather than someone who works on the product.
You need a fully specified brief, a dedicated researcher and a designer before you can move.
You've never built a prototype yourself and don't intend to start.
You prefer long planning cycles to shipping something small and learning from it.
You want to stay a pure individual contributor and don't want to be accountable for other people's work.
Nice to have
Experience in fintech, wealth, private markets, fund administration, legal tech or other regulated B2B workflows.
Experience with document-heavy or forms-heavy products, or with AI agents and data extraction.
An engineering, design or consulting background before product.
Experience working across distributed teams and time zones.
What's in it for you
Real ownership. A product area in a suite trusted by firms managing $7T+ in assets, with decisions that are yours to make.
AI at the core of the job. You'll design AI systems customers rely on in production, not demos, and learn what it takes to make them work in a regulated domain.
Short distance from idea to customer. Prototype in days and put it in front of the GPs, fund administrators and law firms who will use it.
Direct line to product leadership. You'll work directly with the Head of Product, and your roadmap feeds company strategy.
A team of your own. Lead and grow a small team from day one, and achieve more than you could alone.
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