Full-time tech placements

Hire the operator who ships from day one

Hireverse Recruiting places engineering, product, design, and GTM leaders at Seed through Series C tech companies. We source builder-profile candidates — operators who create pipeline, process, and product from scratch.

Seed → Series CEngineering · Product · Design · GTMRetained & embedded models
Business challenges

Six challenges every hiring team faces.

We built Hireverse around the problems every founder, head of talent, and hiring manager runs into when recruiting at scale. Here's the shortlist.

Complex recruitment processes

Sourcing, screening, interviewing, and onboarding eat your team alive. Every open req drags ICs out of their real work for weeks.

No durable candidate database

You need a continuously refreshed pool of vetted people — not a one-off batch every time a role opens. Most teams don't have one.

Discreet executive hiring

Replacing or upgrading leadership without tipping off the rest of the company, the board, or the existing executive. Confidentiality is the bar.

Unpredictable recruiting costs

Per-hire fees, surprise upfronts, contingent splits — most recruiting pricing reads like a tax bill. Budget owners hate it for good reason.

Data ownership concerns

Your candidate pipeline, screening notes, and outreach history are valuable IP. When a recruiter walks, that data should stay with you.

Hiring manager bandwidth

Every panel and screening call pulls your best builders off real work. The implicit cost of a long search is often higher than the explicit one.

The real problem

It's calibration, not supply.

When a funnel underperforms, the reflex is to tell sourcing to send more. The data almost always says something else. Real numbers from one IC4 / IC5 engineering search we analyzed:

0%

Phone screen to onsite

Strong candidates dropping at the panel mean the screen was measuring the wrong thing.

0%

Onsite to offer

Interviewers applying different bars to the same role — calibration drift, not supply.

0.0%

Top-of-funnel outreach to accepted offer

Under one tenth of one percent. The compounding cost of an uncalibrated funnel.

0 weeks

of interviewer time burned in one search

Equivalent panel hours spent for a handful of accepted offers. Time that should ship product.

That region had roughly 11,300 qualified professionals available. The problem was never the pool. It was that the front end and the back end of the process were never aligned on what "qualified" meant.

How we fix it

Four operational disciplines that turn an uncalibrated funnel into a process that produces qualified hires on a predictable timeline.

Define the profile before sourcing

A defined profile per level — including the minimum technical floor (MVP) and the leadership signal expected — agreed by the hiring team before a single outreach goes out.

Standardize the rubric

Each interviewer owns one competency and a fixed question set. Trained on technique. Scoring against the level rubric, not against the last candidate they liked.

Size the market honestly

We tell the hiring manager the truth about supply. If the addressable market is small, no amount of outreach changes that — we calibrate the bar and timeline to reality.

Run consolidated hiring events

Screens, finals, and committee debrief in one day. Binary hire/no-hire votes locked before discussion. Real-time comparison sharpens decisions and cuts candidate drop-off.

Our process

Five steps. No noise.

Most placements that fail don't fail at sourcing — they fail at calibration. We spend the front of the process making sure we're hunting for the right operator profile, not the most-available one.

01

Discovery call

A 30-minute intro to align on stage, role, and what success looks like in 6, 12, and 24 months.

02

Role calibration

We define the builder profile for your stage — not a generic job spec, but the specific operator DNA your team needs.

03

Targeted outreach

Deep network sourcing and AI-augmented search across operators who've built at this stage before. No job boards, no spray.

04

Builder evaluation

Every candidate is screened against our framework — what they've built from zero, how they created traction, and what broke as they scaled.

05

Close and onboard

We stay involved through offer negotiation, references, and the first 90 days. Your success is our reputation.

Methodology

Profile-based recruiting, measured at every stage.

Profile-based recruiting replaces interviewer instinct with a structured, level-specific evaluation that every team runs the same way. The system below is what we install — proven at scale.

0+

Strategic hires

0%

Closure rate

Methodology proven across critical engineering and operations units — CSEO, SMSCE, Commercial Financial Services, Operations, HoloLens, and Quantum. Built to run under real headcount pressure.

Step 1

The four parts of a working profile

A defined profile per level

Before sourcing starts, the team agrees on the competencies and leadership qualities a candidate at this level must demonstrate. The profile is built from the role and the level — not from whoever happens to be in the room.

Assigned questions and criteria

Each interviewer owns one competency area and a fixed set of questions. They're trained on technique so the evaluation stays consistent and measures the candidate, not the interviewer's mood.

Holistic assessment

Candidates are evaluated across multiple teams and across more than raw technical skill. The profile accounts for trajectory, the way a person works, and the leadership signal they carry into a team.

Structured feedback loops

Interviewers give and receive feedback after each loop. The standard stays consistent, and drift gets surfaced before it costs you a hire.

Inside the profile

The Minimally Viable Profile (MVP)

The MVP is the minimum technical floor a candidate must clear to operate in the role on day one. It gives sourcing a hard target so outreach hits the right people, and gives the screening team an objective bar that filters on real capability — not resume polish.

Example — Senior ML Engineer: production experience with cloud-native infrastructure, strong Python across backend and applied ML, proven work productionizing models for prediction, scoring, or search, and the ability to ship and operate model-serving APIs at scale. Everything else is a flex point. The MVP is the floor.

Step 2

Screen people in, not out

The goal of an interview is to find common ground with a candidate and identify the skills and experiences they bring that the team needs more of. Three rules keep this honest.

1

Evaluate against the role, not against other candidates

The question is whether this person meets the need the team is hiring for — not whether they're stronger than the last person in the loop.

2

Check your reaction

A strong response to a candidate, positive or negative, is a signal to examine your own assumptions and ask why you are reacting that way.

3

Separate ramp time from potential

A no-hire decision driven by short-term ramp speed, rather than the candidate's ability to perform in the role, is usually a calibration failure.

Step 3

Performance × Potential

Every candidate is evaluated across two dimensions, each split into two parts. A hire decision that rests on all four is far more durable than one built on a single strong interview.

Performance

Track Record

The experience and results the candidate has already delivered.

Performance

Knowledge

Their technical and functional capability — what they actually know how to do.

Potential

Competencies

The skills the role requires and the situations where they will be used in your context.

Potential

Culture & Leadership

How the candidate works and why they work that way — the signal they bring to a team.

Step 4

Six disciplines of interviewer calibration

Calibration is the discipline that holds the whole system together. Without it, the best profile in the world still produces inconsistent decisions.

Standardized rubrics per level

Every interviewer scores against the same defined criteria, not against whatever they remember from the last loop.

Regular calibration sessions

The team reviews past outcomes and realigns on the bar before it drifts. Recurring discipline, not an annual event.

Data-driven interviewer feedback

We track each interviewer's pass rates by stage and correlate them with eventual hiring success, then feed it back so they can adjust.

Deliberate panel assignment

Calibrated interviewers protect funnel quality on early screens. The strongest interviewers run finals to protect offer conversion.

Binary review committee

Hire or no-hire votes locked before the committee meets. Every member explains their decision. Anchoring and groupthink get removed.

Consolidated hiring events

Screens, finals, and debriefs in one day with immediate post-interview review. Real-time comparison sharpens decisions and cuts drop-off.

Honest supply math

Market mapping before commitment

Before we commit a team to a search, we map the market and size the real candidate pool — the companies where the right people work, the search logic that finds them, and a calibrated set of profiles the hiring manager can react to early. If the addressable market is small, no amount of outreach changes that. We tell you the truth about supply and calibrate the bar and timeline to reality, rather than burning your team's hours on a search the numbers do not support.

Service levels & reporting

A clock and a rubric. Not a black box.

Every search runs against defined service levels so you always know what to expect and when. No mystery, no late surprises.

Our commitments

24h

from request

Intake call

Every new role kicks off with an intake within one business day of the request. Hiring manager, recruiter, and stakeholder alignment in one session.

5 days

from intake

Market map + 5–7 calibrated profiles

Within five business days of intake we deliver a market map and a calibrated slate the hiring manager can react to early. Course corrections happen on profiles, not after onsites.

3+

per week

Net-new qualified submissions

Three or more net-new qualified candidates submitted weekly until the pipeline stabilizes. Volume governed by the rubric, not by activity for activity's sake.

3 days

business days

Interview scheduling

Interviews scheduled within three business days of candidate availability, with pre-brief packages delivered to interviewers ahead of every stage.

What every search reports on

The dashboard you get, every week

Pipeline health by stage

Live count of candidates at each stage of the funnel — and where the bottlenecks are forming.

Conversion rates at each step

Phone screen to onsite, onsite to offer, offer to accept. Movement on the rates is the signal we tune to.

Time-to-shortlist and time-to-fill

Calendar days from intake to first qualified slate, and from intake to signed offer. Reported every week.

Source effectiveness

Yield by source — referral, network outreach, direct apply, AI-assisted match — so we double down on what is working.

The process tightens itself as it runs

When two candidates get declined at the same stage for the same reason, that triggers an immediate criteria review and a same-day adjustment to the search. Calibration drift is caught before it costs a hire.

Service offerings

Pick the model that fits your stage.

Two tracks, four engagements. Managed services for teams that want a recruiting function delivered as a subscription. Recruiting services for the one critical seat you need closed now.

Managed Services

Most popular

RPO

Recruitment Process Outsourcing

$3,000/resource

+ 15% placement fee · min 5 hires/month

  • Fully managed, dedicated recruitment process
  • Seamless integration with your business
  • Uses your client-provided tools and training
  • Comprehensive: intake through onboarding
🔐 You retain all candidate & process data

Talent Sourcing

Continuous pipeline, on tap

$5,000/resource

per month, no placement fee

  • Solely focused on populating your candidate database
  • Uses your tools to keep process and data structure familiar
  • Steady flow of vetted candidates across roles
  • Replaces ad-hoc sourcing contractors
🔐 You retain all candidate & process data

Recruiting Services

Executive Search

Discreet leadership placement

30% fee

50% due upfront

  • Specialized search for senior leadership roles
  • Conducted with utmost discretion
  • Detailed reporting — monitor every activity
  • Hireverse retains data ownership for confidentiality
🛡️ We hold data for confidentiality

Contingent Search

Pay only when we deliver

25% flat fee

due 5 days after start date

  • Risk-free — fee only on successful placement
  • Same screening rigor as retained search
  • Hireverse retains data ownership
  • Best for individual contributor and manager roles
🛡️ We hold data for confidentiality
Why Hireverse

More than a recruiter. A talent partner.

We treat your search the way we would treat our own next hire — with stage-aware rigor, network-deep sourcing, and the willingness to walk away from a candidate who doesn't fit.

Stage-specific targeting

Every search is calibrated to your company stage, market motion, and growth trajectory — not a generic JD template.

AI-augmented sourcing

We pair human network with the Hireverse marketplace data — 50,000+ vetted operator signals across early-stage tech.

Founder-first process

You work directly with the partner running your search — never handed off to a junior associate after the kickoff call.

End-to-end partnership

We stay hands-on through offer negotiation, references, onboarding, and the first 90-day check-in. Replacement guarantee if it does not work out.

The real cost of one wrong hire

A mis-hired leader at Seed through Series B doesn't just cost their salary — they cost momentum. Here's what we've watched companies absorb when the bar slipped.

  • 3–6 months lost rebuilding, rehiring, and resetting strategy
  • Six-figure setback once you factor in comp, recruiting fees, and lost pipeline
  • Roadmap or pipeline gaps during ramp and replacement cycles
  • Delayed fundraising when GTM or velocity metrics fall behind
  • Team morale damage and lost confidence in leadership
Our evaluation framework

The four traits of a builder.

We screen every candidate against four signals. If they don't clear all four, they don't make the slate. Resume keywords are the lowest signal we use.

Built from zero

They have shipped real things from a blank Notion doc — not inherited a working playbook from a 200-person team.

Thrives in ambiguity

When the strategy isn't written, they write it. When the tool doesn't exist, they pick one. They don't wait to be told.

Closes their own loops

IC excellence with operator instincts. They can run the work themselves while hiring the team that scales it.

Learns from what broke

Best signal is candor about a failure. We ask what scaled past them and what they would do differently — and we listen carefully to the answer.

Specializations

AI-native roles we hire for.

Principal-level engineering across AI infrastructure, cloud, and hardware. AI-native product leaders. Enterprise GTM operators who close Fortune-500 deals. Executive search lives in its own track below.

AI & Engineering

Principal-level builders

Hard-to-fill principal and staff IC roles across AI, cloud infrastructure, and hardware. The operators who shape architecture and ship the systems that the rest of the team learns from.

  • Principal AI / ML Engineer
  • Staff / Principal Software Engineer
  • AI Infrastructure / MLOps Lead
  • Cloud / Distributed Systems Architect
  • Hardware Engineer (accelerators, edge, silicon)
  • Data Platform / Infra Lead

Product

AI-native PMs

Product leaders building AI-first products — equal parts model intuition, customer discovery, and shipping discipline. Comfortable with eval loops, latency-cost tradeoffs, and unknowns shipped weekly.

  • Principal PM, AI / ML
  • Senior PM, AI Infrastructure
  • Group PM, Platform
  • Product Operations

Sales & GTM

Enterprise revenue

Enterprise AEs, Sales Engineers, and Solutions Architects who can sell AI products to Fortune 500 buyers and the technical CTO offices behind them. Quota carriers who know how to navigate procurement, security review, and pilot-to-prod.

  • Enterprise Account Executive
  • Strategic Account Executive
  • Sales Engineer / Solutions Engineer
  • AI Solutions Architect
  • Customer Engineer / Forward Deployed
  • Sales Development Lead

AI Research

Frontier scientists

Research scientists and applied researchers who publish, ship, or both. Comfortable with end-to-end ownership — paper to pre-train, prototype to production eval. Strong fit for foundation model labs and applied AI teams.

  • Research Scientist (LLM / Foundation Models)
  • Applied Research Scientist
  • Research Engineer
  • ML Research Lead
Executive Search

Leadership hires, handled with discretion.

C-suite and VP-level placements for AI-first companies. Confidential by default, run by the founder of the firm, with detailed weekly reporting and a typical 60–90 day cycle from kickoff to signed offer.

Partner with PE & VC

Portfolio leadership search for funds and operating partners

We partner with venture capital and private equity firms to source CTOs, CROs, and CEOs across portfolio companies. Confidential mandates, board-aligned intake, and a single point of contact who can scale across multiple searches in parallel. Ideal for value-add firms placing operators after a Series B+ or growth-equity check.

Partner discussion

Engineering Leadership

CTO & VP track

C-suite and VP-level engineering hires for AI-native companies — leaders who can hire, ship, and represent the technical bar in the boardroom.

  • Chief Technology Officer (CTO)
  • Chief AI Officer (CAIO)
  • VP / SVP Engineering
  • VP Infrastructure / Platform
  • VP Research / Head of AI Research
  • VP Data / Head of Data Platform

Product Leadership

CPO & VP track

Product executives who set the AI roadmap, balance model bets against shipping discipline, and partner with engineering as equal owners of velocity.

  • Chief Product Officer (CPO)
  • VP / SVP Product
  • Head of Product, AI
  • Head of Design

GTM Leadership

CRO & VP track

Revenue and marketing executives who build enterprise GTM motions for AI products — comfortable selling into Fortune 500, navigating procurement, and standing up Customer Success org from scratch.

  • Chief Revenue Officer (CRO)
  • VP / SVP Sales
  • Chief Marketing Officer (CMO)
  • VP Marketing / Growth
  • VP Customer Success
  • VP Sales Engineering

Operations Leadership

COO, CFO & staff

The operators behind the operators. COO, CFO, Chief of Staff, and General Counsel placements that turn a great founding team into a scaling company.

  • Chief Operating Officer (COO)
  • Chief Financial Officer (CFO)
  • Chief of Staff to CEO
  • General Counsel
Confidential by defaultFounder-led, never handed offTypical 60–90 day cycle
What founders say

Operators who stick. Teams that ship.

We had three failed Head of Sales searches before working with Hireverse. The candidate they brought us closed our first six enterprise accounts in his first quarter — and we still have him eighteen months later.

Founder & CEO

Series A SaaS · 40 employees

Most recruiters send a slate of resumes. Hireverse sent four operators and a written argument for why each one mapped to our stage. It felt like working with another founder, not a vendor.

Co-founder & CTO

Seed Stage AI · 12 employees

The embedded model paid for itself. They closed three Senior Engineer offers and one Staff Designer in a quarter — and trained our recruiter to keep the process running after they left.

Head of Talent

Series B Fintech · 90 employees

We needed a Principal AI Engineer with both training and infra chops. Hireverse closed the search in 38 days. The candidate they placed had turned us down twice through other firms — they got us a yes.

Co-founder & Chief Scientist

Series A AI Lab · 28 employees

Let's talk about your next hire.

Book a 30-minute call. We'll talk through the role, your stage, and whether the builder profile we'd hunt for matches what you're hoping to find. No obligation, no pressure.

Typical reply within one business day. We work with US-based companies across remote-first, hybrid, and in-office.

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