VP/Director of Product Workflows

New Role: VP/Director of Product — Workflows

This is the most important orchestration layer of the product — it sits underneath everything and connects negotiation, signature, repository, and external systems. It is the part of the product that determines how a contract moves from A to B, how it integrates with other tools, and how teams collaborate on approvals. The workflow tool is currently not as mature as it needs to be, which is one of the reasons Luminance sometimes loses out to bigger players — so this hire is critical to building both maturity and intelligence into the product.

Why it's exciting:

• Heavily AI-driven — building agents to complete tasks vs. human-in-the-loop decisions
• Squads include researchers from the Cambridge team (all PhDs from the University of Cambridge)
• Huge scope to bring order, build maturity, and shape the roadmap
• Fast-growth AI legal company with real equity upside

Reporting structure: Reports directly to Ella (VP of Product)

Team structure — 3 sub-teams:

1. Agentic Workflows — building AI agents to get contracts from A to B
2. Matter Management — how users log in and track the status/stage of a contract (e.g. a lawyer waiting on a contract from the legal team can see exactly where it is)
3. Integrations — how the product plugs into systems like Salesforce and makes the end-to-end process seamless
4. ~4 associate/junior PMs in total
5. UX/UI designer (reporting line TBC but part of the squad)
6. Engineering lead co-runs the squad (engineers report into engineering lead)

Ideal Candidate Profile — VP/Director of Product (Workflows)

Must-haves:

• STEM degree from a top university (firm requirement — top 20, Ella will hold firm on this; exceptions only if candidate has exceptional, demonstrable achievements since graduating — Aditi to flag and explain context before passing over)
• End-to-end commercial SaaS product experience — research-only backgrounds are not suitable (a previous candidate from the Alan Turing Institute was rejected by Mario specifically on this basis, despite being otherwise strong)
• Has managed a squad or team before — line management experience strongly preferred; not a hard blocker but Ella would want to see evidence of at least some people management
• Demonstrated ability to build, scale, and grow a product within a team — years of experience matter less than evidence of real impact; working at a fast-growth company compresses experience significantly (2 years at a scale-up can equate to 10 years elsewhere)
• Minimum ~2 years in a senior or managing capacity
• Full end-to-end product lifecycle ownership — must understand the whole product, not just one slice

Ideal background:

• Workflow product or business process automation experience — this is the strongest signal; someone who has worked on a product that moves a process from A to B, manages approvals, integrates with external systems, or automates steps in a workflow
• Ironclad is a prime sourcing target — they are one of the best in the market for this type of product; timing may be good as many candidates collect bonuses at financial year-end and then become open to moves
• Legal tech experience is a bonus but not required — if a candidate has a law degree and has since moved into tech product, that is acceptable and can be an asset
• AI product experience — must be able to articulate how they would leverage AI to build smarter workflows; the role involves building agentic workflows (AI completing tasks vs. human-in-the-loop decisions) so comfort with AI product thinking is important
• Has worked at a well-regarded software company with a strong product — ideally somewhere with a meaningful product culture where they played an important part

Technical expectations:

• Does not need to know how to build integrations from A to B — but must understand data flows: where information comes from, where it goes, and how it surfaces to the user
• Must not be put off by integrations or multi-stack environments — the role involves plugging into systems like Salesforce, and candidates need to be comfortable navigating that complexity without needing to be engineers
• Mathematical and logical thinker — workflow logic is highly conditional ("if this, then that, else this") and the role requires someone who can think through complex branching scenarios clearly and systematically
• Comfortable working closely with engineering leads and Cambridge research team (all PhDs from the University of Cambridge) — must be able to hold their own in technically rigorous conversations

Soft skills & mindset:

• Ready to roll their sleeves up — this is a fast-growth AI legal company and the workflow product needs both TLC and ambition; the right person will want to build and shape something, not just manage what exists
• Strong people leader — will be mentoring PMs and associate PMs, and needs to bring structure and direction to a team that is growing quickly
• Excited by the roadmap — the orchestration layer is the most strategically important part of the product and the candidate needs to genuinely see that opportunity
• Able to bring order without losing momentum on the exciting, forward-looking parts of the roadmap

Compensation:

• Total package: up to £150k (base + bonus combined)
• Bonus: £5k–£15k per quarter (Anna's current bonus is £10k/quarter as a benchmark)
• Equity included — significant upside given the growth trajectory and scale of the business
• 6-month review built in — opportunity to revisit package once embedded
• Title: Director of Product Management / VP of Product (flexible — titles at Luminance are non-standard so this will be worked out for the right person)

Previous candidate note: A candidate was considered who had worked at the Alan Turing Institute — Mario (CPO) felt strongly that not having commercial SaaS product experience was a dealbreaker, even with a strong research background. This sets a clear precedent: academic or research-only product experience will not be accepted regardless of other strengths.

They want to build maturity on the products and how you can leverage AI