Talent Intelligence Consulting for Series B Companies: What It Is and What to Expect

At Seed and Series A, most companies are hiring three to ten people. The founder or a first recruiter can research the market directly. The searches are narrow enough that gaps in data are recoverable.

At Series B, that changes. You are typically hiring 20 to 60 people in 18 months, into roles that are increasingly specialized, at levels where a bad hire or a misaligned compensation range costs real money. A vacant VP of Engineering at a Series B company costs an estimated $42,000 per month in delayed delivery and team drag. A leadership hire made at 15 percent below market starts with a resentment problem and exits within 18 months.

The internal team is also typically under-resourced for the research that would prevent these outcomes. A one- or two-person TA function at a Series B company is executing against an open req list. They are not running market maps, benchmarking competitor hiring patterns, or analyzing what your employer brand looks like to the senior candidates you need.

That is the gap talent intelligence consulting fills.

A standard Illuminate engagement at The Talent Foundation covers four specific research areas.

Talent market mapping answers whether the pool exists. For a specific role, at a specific seniority level, in your target geography or remote configuration: how many qualified candidates are there, where do they work now, and what is their availability? This is not a list of names. It is a supply analysis that tells you whether your search is feasible before sourcing begins, and whether you need to adjust the role definition, the geography, or the compensation to run a competitive search.

Compensation benchmarking answers what the market actually pays. Not what salary sites report (which lag by 12 to 18 months), and not what your last hire accepted. What qualified candidates at the level you are hiring are earning today, in your market, with equity structures comparable to yours. Companies that skip this step routinely lose finalists to offers they did not see coming.

Competitive hiring intelligence examines what the companies competing for the same candidates are doing. Which of your competitors have been actively hiring for this function? Where are they sourcing? What does their employer value proposition look like to senior candidates? This matters both as a competitive threat map and as a sourcing opportunity: companies that recently restructured a function you need are active inbound territory.

Hiring strategy recommendations connect the research to a plan. The deliverable is a written report with specific findings and a set of actionable recommendations: where to source, what compensation range to defend, how to frame the pitch to candidates, and what the search timeline realistically looks like given the market.

Enterprise companies use talent intelligence platforms — Eightfold, SeekOut, Beamery — plus internal research teams to produce these outputs. The tools cost $50,000 to $200,000 per year. The research teams take months to spin up.

Series B companies do not have that budget or that timeline. They need the research output — not the platform — and they need it in two to four weeks, not two to four months.

The Talent Foundation's Illuminate service is designed for this profile: a research engagement that delivers a complete market analysis for one role family or one geography, on a timeframe that fits a live hiring plan, at a price point that makes sense before the enterprise budget exists.

"Series B is the stage where talent mistakes compound fastest," Adam Kovacs says. "You are spending board capital on every search, and the people you hire at this stage set the culture and the capability for the next three years. The investment in knowing what the market looks like before you commit to a plan is almost always worth it."

Three situations come up most often.

Hiring a first functional VP. The first VP of Engineering, VP of Sales, or VP of Product at a Series B company is a high-stakes search with a thin candidate pool. The market for people who can manage a team of 12 and scale it to 40 without the support structure of a large company is smaller than it looks. A market map before the search tells you what that pool actually looks like, what the comp expectation is, and whether your role definition is matching the candidates you are trying to recruit.

Expanding into a new geography. If you are opening a second office or moving from remote to a hub model, talent supply varies sharply by location. What looks like a talent market on LinkedIn is often a market where most qualified people are employed, fully compensated, and not actively available. A market map prevents you from building a headcount plan against a talent pool that does not move.

Running a leadership team build under timeline pressure. Board-driven hiring plans — "hire 40 people in Q3" — rarely account for market conditions. Talent intelligence gives you the data to push back with specifics: the pool for the senior roles you need is 60 people, 40 of them are employed at companies with 12-month vesting cliffs, and three of your direct competitors have been actively poaching from the same pool for the past six months. That kind of data changes the conversation.

It is not the right fit for every hire. For a well-defined role in a well-understood market — a mid-level software engineer in a major tech hub — your internal team can run the search without external research support.

It makes sense when the cost of a mistake is high, the market is unfamiliar, or the role is specialized enough that missing the available pool by 20 percent means losing six weeks. Three questions worth asking:

• Is this a role where a bad hire or a long vacancy has direct impact on revenue or delivery — more than $500K in cost or delay?
• Does your TA team have reliable data on what this candidate pool looks like, where they work, and what they are paid today?
• Have you hired this role type before at this seniority level, in this geography, at your current stage?

Adam Kovacs built the Talent Intelligence function at Amazon Web Services, one of the largest and most complex talent organizations in the technology sector. At AWS, that function produced market maps, compensation benchmarks, and competitive hiring intelligence for roles across engineering, operations, and leadership globally.

The methodology at The Talent Foundation applies that same research discipline at the growth-stage scale: a complete Illuminate engagement for a Series B company runs two to four weeks and produces a written report with specific findings and recommendations. The work is designed to plug directly into an active hiring plan, not to produce slides with no action items.

If you are at Series B and about to open a significant search — a first VP, a market expansion, or a leadership team build — and your TA team does not have reliable data on what the market looks like, a talent intelligence engagement is worth considering before sourcing begins.

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