Now taking Q3 searches — Pre-Seed to Series C

Exceptional companies are builtby exceptional people.

Systmatic is a boutique executive search partner for venture-backed startups. We don't fill seats — we find the few people who can change the trajectory of a company.

Pre-Seed
→ Series C
Engineering
AI · Product · GTM
SF · NYC
Worldwide reach
Research-led
No spray-and-pray
Trusted by ambitious founders
Northline AI
Series A · SF
Halyard Labs
Seed · NYC
Meridian
Series B · Remote
Kestrel
Series C · SF
Foundry Nine
Pre-Seed · NYC
Rowan Systems
Series A · Austin

Representative placeholders. Client references available on request.

Philosophy

Startup hiring is different.

Traditional recruiting optimizes for volume. Startups need judgment. The right hire at Series A rewrites what's possible; the wrong one costs a year of runway.

Every search begins with the founder's vision, the product, the technical shape of the problem, and the company's long-term trajectory — before a single candidate name is written down.

Contingency firms
Race to submit résumés first. Optimized for placements, not fit.
Retained corporate search
Built for Fortune 500 orgs. Slow, generic, disconnected from product.
Systmatic
Research-led search. Small caseload. Founder-adjacent judgment.
Methodology

Research-driven search across three disciplines.

Engineering search

Founding engineers, staff+ ICs, and technical leadership. We read the codebase context before we read résumés.

  • Systems & infra
  • Full-stack product engineers
  • Applied research & MLE
  • Founding engineers

AI search

Research scientists, ML engineers, and applied AI leaders. We know the labs, the papers, and who ships.

  • Foundation models
  • Applied ML & inference
  • AI product engineers
  • Heads of AI

GTM search

Founding AEs, first sales leaders, PMMs, and growth engineers. Hired for the stage, not the title.

  • Founding sales
  • VP Sales & CROs
  • Product marketing
  • Growth & lifecycle
Evaluation

How we evaluate exceptional talent.

01

Depth over breadth

We speak to fewer people, more deeply. A shortlist of four we can defend beats a longlist of forty.

02

Founder-context first

Every candidate is evaluated against your product surface, technical shape, and next 18 months — not a generic rubric.

03

Signal, not credentials

We look for people who have already solved the problem you're about to face, wherever they solved it.

04

Honest calibration

If a role isn't hireable at the level you're asking, we'll say so in the first week — not the twelfth.

Process

An interactive look at a Systmatic search.

Stage 01 / 09

Discovery

Vision, stage, technical shape, hiring context.

Day 1–3
  1. Day 1–3
    Discovery
    Vision, stage, technical shape, hiring context.
  2. Week 1
    Role Definition
    Written spec grounded in the next 18 months.
  3. Week 1–2
    Market Mapping
    Who exists, where, at what depth, at what price.
  4. Week 2–3
    Talent Research
    Deep sourcing across labs, teams, and adjacent orgs.
  5. Week 2–4
    Warm Outreach
    Thoughtful, personal, founder-caliber messaging.
  6. Week 3–5
    Evaluation
    Structured technical & judgment interviews.
  7. Week 4–6
    Founder Interviews
    Curated shortlist, calibrated to your bar.
  8. Week 5–7
    Offer
    Comp bench, negotiation strategy, counter-planning.
  9. Week 6–8
    Closing
    Reference calls, onboarding, first-90-day support.
Expertise

Where we go deep.

Engineering
Founding · Staff · VP
AI & ML
Research · Applied · Heads of AI
Product
PM · GPM · CPO
Design
Product · Brand · Head of Design
Sales
Founding AE · VP Sales · CRO
Marketing
PMM · Growth · CMO
Customer Success
First hire · VP CS
Leadership
COO · CTO · CEO successors
Signal, over the last 24 months

Numbers we're willing to defend on a call.

0
Days to shortlist
0%
Offer acceptance
0%
Retained at 12 mo.
0%
Search fill rate

Illustrative placeholders. Real numbers, per search, on request.

Selected work

Five searches, told honestly.

Challenge
Founder needed a founding engineer fluent in distributed systems and inference — after 4 months of internal search.
Search strategy
Mapped every inference team at the top 12 labs; identified 34 targets, engaged 9 in depth.
Candidate
Staff engineer from a hyperscaler inference team.
Timeline
Signed at day 41.
Outcome
Shipped v1 of the inference stack in 6 weeks post-start.
What we learned
Depth beats breadth. One right candidate ends the search.
Challenge
Team of 22 engineers, no manager layer, quality slipping. Founders needed a builder-operator, not a bureaucrat.
Search strategy
Focused on second-time VPEs from product-led B2B, avoided FAANG-only backgrounds.
Candidate
VPE who had scaled a similar team from 20 to 65.
Timeline
Offer at day 58.
Outcome
Cycle time down 40% inside two quarters.
What we learned
Stage-relevant experience is worth 3x a bigger brand.
Challenge
Product-market fit hinged on a model quality step-change. Founders were technical but not ML-native.
Search strategy
Mixed shortlist across research and applied; weighted taste for product over publication count.
Candidate
Applied research lead from a top-tier lab.
Timeline
Signed at day 33.
Outcome
Eval scores +18% inside one month; enabled Series A raise.
What we learned
Founders learn faster with a peer, not a report.
Challenge
Two technical founders, first sales hire, no playbook, no ICP conviction.
Search strategy
Sourced founding sellers who had built pipeline from zero at similar dev-tool companies.
Candidate
AE #1 from a well-known open-source company.
Timeline
Signed at day 27.
Outcome
ICP crystallized in first 60 days; $1.2M in early pipeline.
What we learned
Founding sales is a founder role in disguise.
Challenge
Founder-CEO stepping back from PM to focus on capital markets. Needed a product owner, not a manager.
Search strategy
Narrow shortlist of founder-turned-PM operators with regulated-industry chops.
Candidate
Former founder who ran product at a Series C fintech.
Timeline
Signed at day 46.
Outcome
Roadmap re-scoped, shipped 3 core primitives in one quarter.
What we learned
Product taste is non-negotiable at Series A.

Anonymized placeholders. Real case studies shared under NDA.

Founders

What partners say.

"They introduced us to two people. We hired one. She rewrote the trajectory of the company."
Founder & CEO
Series A · SF
"The first firm we've worked with that actually understood our codebase before writing a spec."
CTO
Series B · NYC
"They told us the role wasn't hireable at the level we were asking. Nobody had ever done that."
Head of Talent
Series C · Remote

Placeholder testimonials pending client approval.

FAQ

Answers, plainly.

We're retained, small caseload, research-first. We work on a limited number of searches at a time so each one gets founder-caliber attention.

Pre-Seed through Series C. Our work is most valuable when the wrong hire meaningfully changes the trajectory of the business.

Engineering, AI/ML, Product, Design, and GTM leadership. Founding hires, staff+ ICs, and first executive layer.

Based in SF and NYC. We recruit worldwide — most searches touch at least three metros.

Shortlist in ~14 days. Signed offer in 4–8 weeks for most roles. Executive searches run longer.

Retained engagement with a milestone structure. We share fees on the first call — no surprises.

For founders, CTOs, and heads of talent

Let's talk about
the person you actually need.

A 30-minute strategy call. We'll pressure-test the role, the market, and whether we're the right partner. No pitch deck.

San FranciscoNew YorkWorldwide