11 days. That was the median time-to-hire across Reef's client base. The industry average for comparable roles is closer to forty-two days, and inside climate tech companies running founder-dependent searches, eleven weeks is not unusual.
That gap is not a logistics difference. It is a strategic one.
Why climate tech hiring is uniquely broken
Every early-stage company has hiring problems. Climate tech has three that are specific to the sector.
The talent pools are small and specialist. Hiring a process engineer with experience in solid-state electrochemistry, or a business development lead who understands the regulatory environment for distributed energy resources, is not like hiring for a generalist commercial role. The qualified pool is global, measured in hundreds of people rather than thousands. Those people are not passively browsing job boards. They are in academic positions, at national labs, or inside the handful of established players in the space. Reaching them requires a sourcing approach that generic recruiters do not have.
Founder credibility is the primary conversion mechanism. In climate deep-tech, the candidate's decision to leave a stable academic or corporate position often comes down to whether they believe in the technology and the team. That means the founder is necessarily involved in closing hires in a way that is less true in other sectors. The problem is that this involvement gets mistaken for needing to be involved in every other step of the process — screening, first-round interviews, assessments. It does not. Conflating the founder's legitimate role in closing with involvement in the operational steps is where the bottleneck gets created.
Searches run longer than the market window. A climate tech company at the pre-Series B stage is often moving through a defined commercial window — a regulatory filing period, a customer pilot timeline, a fundraising cycle. The team they need to execute that window needs to be in place before the window opens, not three months into it. A twelve-week hiring process means the hire arrives six weeks after the decision should have been made. In a company where each quarter counts, that is a meaningful cost.
What slow hiring actually costs
The cost of a slow hire is rarely measured correctly. Most founders think about it as the salary cost of an unfilled role. The actual cost is larger and less visible.
Candidate quality degrades with time. The best candidates at any experience level are not waiting twelve weeks for a decision. They accept other offers. The pool that remains after eight or ten weeks of process is a selected pool — weighted toward people who had fewer alternatives. Slow process does not just delay a hire. It changes who you hire.
Founder time is the hidden cost. A founder running a search manually — writing job descriptions, reviewing CVs, running first-round calls, managing references — is spending ten to fifteen hours per week on a process that should require two or three hours of their time at the decision-making stage. Across a twelve-week search, that is one hundred to one hundred and eighty hours of founder time. For a company where founder hours are the scarcest resource, this is a material constraint on everything else.
Market windows do not wait. In climate tech, the alignment between technology readiness, regulatory environment, and customer demand creates windows. A company hiring its first commercial director during a six-month window of regulatory activity will produce a different commercial outcome depending on whether that hire starts in week four or week twelve. The difference between a good hire in time and a good hire too late is often measured in revenue, customer relationships, and fundraising optionality.
The anatomy of Reef's 11-day process
The eleven-day median was not the result of moving faster. It was the result of removing every decision point that did not require the right person making it.
The process had five stages. Each had a defined owner and a defined output.
Stage 1: Role specification (Day 1–2). Before sourcing starts, the role specification is built from the commercial output the company needs — not a job description assembled from a template. What does this person need to produce in their first ninety days? What decisions will they own? What does a good hire look like versus an acceptable one? This document drives everything downstream and eliminates ambiguity at the offer stage.
Stage 2: Sourcing (Day 1–4, running in parallel). Against the role specification, a targeted sourcing run is executed — direct outreach to candidates in relevant roles, positions, and networks. For Reef's client base, this produced a pool of applicants at a rate that meant 4,500 applicants were assessed across the programme, with 34 accepted. That is a 0.75% acceptance rate — not because the bar was arbitrary, but because the sourcing was targeted and the screening was rigorous.
Stage 3: AI-enhanced screening (Day 3–6). The top of the applicant funnel is processed using structured screening criteria applied consistently. This removes the volume problem — the reason founders end up reviewing CVs for three hours on a Saturday. The output of the screening stage is a shortlist of ten to fifteen candidates who meet the defined criteria, with a one-page summary of each.
Stage 4: Structured assessment (Day 6–9). Two rounds of structured interviews with defined questions and a scoring rubric. The founder is involved in round two, not round one. The output is a ranked shortlist of two or three candidates with a clear recommendation.
Stage 5: Offer and close (Day 9–11). The offer goes out with a defined response window. The founder closes the preferred candidate. The process does not restart if the first candidate declines — the ranked shortlist means the second candidate can receive an offer within twenty-four hours.
Eleven days from role open to offer accepted. The process works because every step has a defined output and a defined owner. Nothing waits for a decision that has not been allocated.
What a fund can do across its portfolio without adding headcount
The most common question from fund operators is whether fixing this requires hiring a recruiting function inside each portfolio company. It does not.
The infrastructure is the leverage. A fund that installs a shared hiring system — shared role specification templates, a shared screening framework, a shared assessment library — across its portfolio gets a disproportionate return on the investment.
The specific interventions that produce the most impact without adding headcount are:
Role specification library. A set of pre-built role specifications for the ten to fifteen roles that appear most frequently across the portfolio — BDM, SDR, process engineer, regulatory lead, product manager. Each specification is built from the commercial output the role needs to produce, not a generic job description. When a portfolio company opens a role, they start from the right document rather than from scratch.
Screening framework. A structured set of screening criteria for each role type, applied by anyone on the team — not just the founder. This removes the bottleneck at the top of the funnel without requiring recruitment expertise inside each company.
Assessment library. A set of structured interview questions and scoring rubrics for each role type, calibrated to the climate tech context. A BDM interview framework built for a SaaS company does not transfer to a company selling long-duration storage to grid operators. The questions need to reflect the actual commercial context.
Decision protocol. A documented decision process for each stage of the funnel — who reviews, what they are assessing, what constitutes a pass or fail, and who makes the final call. This removes the founder from every decision except the ones that require founder judgment.
87% of hires placed through Reef were still in role at twelve months. That number reflects what happens when you get the specification right before sourcing, screen rigorously before assessment, and assess against defined criteria rather than intuition.
The system is not complicated. It is disciplined. And it is deployable across a portfolio without adding a recruiting function to every company.
If you want to map what this looks like across your portfolio's current hiring pipeline, book a session.