Slates of 2–4
You interview finalists, not a resume pile. Our interview-to-hire ratio is 2:1.*
Technical search — engineering placement & engineering leadership
I'm Vito Chesky. Mike and I do one thing: technical search. We place the engineers who build intelligent systems — and the leaders who build those teams. Companies retain us when the hire shapes the company: a transformation to staff, a founding team to sequence, a leadership bench to build. The work is bespoke, it is counsel as much as search, and it runs on a process we have refined for twenty-nine years.
Retained and specialist search across AI/ML, autonomy & robotics, engineering leadership, software & platform, and hardware & embedded systems.
If you're on this page, there's a pretty good chance you're dealing with one of three situations.
One: you need to hire a technical leader, and you know what the wrong one costs.
Two: you're hiring engineers, and the people you most want aren't answering job posts.
Three: you're building from zero, and the first five hires will decide whether the company makes it.
I'm Vito Chesky. Mike and I do one thing: technical search. Each situation above leads somewhere specific — how we run that work, what it has produced, and the process behind it. One commitment before you choose: every search we take runs the same way — bespoke, personally conducted, and judged a year later by whether the placement worked.
If none of the three fits, call anyway. If we can't help you, we'll tell you who can.
“We need to hire a technical leader — and getting it wrong isn't an option.”
A mis-hire at this level doesn't cost a salary; it costs momentum, culture, and competitive position. One transformation we staffed turned on a distinction the client put in a single line: "Creators and evolvers are different people." Hire a brilliant creator for an evolver's role and you have made the expensive mistake with the best intentions. And when the question is bigger than one hire — what talent, in what order, over what horizon — we advise on that too.
How we run executive search“We're hiring engineers — and the real top 15% won't answer our job posts.”
They are not answering anyone's. The strongest engineers are rarely looking. We recruit professionals who are not on the market, and we develop their interest properly: by the time you meet them, they understand your opportunity and want the conversation.
How engineering placement works“We're building from zero, and the first five hires decide whether we make it.”
The earlier the startup, the more senior the requirement — the first leaders need the standing to say no to most of what crosses their desk. We have placed founding teams, their first non-coding manager, and the Vice Presidents of Engineering who followed. In that order, for a reason.
Startup & venture practiceEngineering, product, and leadership — across all five practices.
Final interview-to-hire ratio: 2:1*
*On many searches — not every one. The ratio varies by role, level, and market.
What We Place
The engineers who build the product.
The leaders who build the teams.
Search Practices
We operate structured practices across the technical domains where AI, autonomy, and engineering leadership are reshaping industries. Each practice is led by recruiters who understand the architecture, not just the acronyms. Our Inbound Recruitment Playbook® ensures you get the top 15% — not the other 85%.
Research scientists, ML engineers, LLM infrastructure leads, AI safety researchers, and agentic systems architects. From pre-training at scale to RLHF, fine-tuning, RAG pipelines, and multi-agent orchestration. We recruit across the full model lifecycle — training, serving, alignment, and productionization.
Perception engineers, SLAM specialists, motion planners, simulation leads, and robotics software architects. Across autonomous vehicles, industrial automation, service robotics, drones/eVTOL, and defense. ROS 2, Isaac Sim, CARLA, sensor fusion, and safety-critical systems (ISO 26262, DO-178C).
CTOs, VPs of Engineering, Heads of AI/ML, Directors of Engineering, Staff and Principal Engineers, Chief Architects, and Technical Product leaders. We source executives who can build and scale engineering organizations from zero-to-one or series B through IPO.
Full-stack, backend, frontend, DevOps/SRE, and platform engineers across Python, TypeScript, Go, Rust, Java/Kotlin, and C/C++. Distributed systems, event-driven architecture, gRPC, Kafka, and microservices. From early-stage startups to scaled platform companies.
ASIC/FPGA designers, embedded firmware engineers (C/C++, Rust, Zephyr, FreeRTOS), signal processing specialists, RF engineers, PCB designers, and chip verification leads (UVM, SystemVerilog). The silicon and sensors that power intelligent machines.
Scalable contract staffing for project-based work, interim leadership, and rapid capacity expansion. Contract-to-hire, retained search, and nearshore delivery models across LATAM, EMEA, and APAC. 64% of advanced tech hiring is now contract or project-based — we staff accordingly.
Technical Expertise
Deep, current domain knowledge across the technologies defining modern engineering. Not keyword matching — real technical calibration.
Executive Search
The wrong hire at the executive level doesn't just cost a salary — it costs momentum, culture, and competitive position. We bring the rigor of retained executive search to the technical leadership roles where the stakes are highest.
C-Suite
CEO, CTO, CIO, CISO, CPO, VP of Engineering, VP of AI/ML. We assess leadership capability, strategic vision, cultural alignment, and the capacity to scale organizations through inflection points. Our network spans founders, operators, and board-level talent across deep tech, defense, and high-growth sectors.
VP & Director
The operational layer where strategy meets execution. We recruit directors and VPs who build high-performing teams, set technical direction, and bridge the gap between the C-suite and the engineering floor. Roles that require both technical credibility and organizational leadership.
We meet with the board, CEO, or hiring committee to define not just the role, but the strategic context — what the business needs from this leader in the next 12 to 36 months.
We build a detailed success profile: technical depth required, leadership style, cultural markers, and the specific challenges this leader will face. Modeled after the rigorous assessment frameworks used by Spencer Stuart and Egon Zehnder.
Our 29-year network gives us direct access to passive executive talent. We approach candidates through trusted relationships — not cold outreach. Every conversation is handled with complete discretion.
We evaluate candidates across technical capability, leadership trajectory, and organizational fit. We guide the offer with executive compensation intelligence and counsel both sides through acceptance and onboarding.
Startup & Venture Practice
We've built founding engineering teams from scratch for startups that went on to dominate their markets. When you're pre-product or pre-revenue, every hire defines the trajectory. We bring 29 years of pattern recognition to the most consequential hires a company makes.
We place the first engineer, the founding ML lead, the CTO who sets the technical DNA. We've repeatedly assembled the initial teams at early-stage companies — teams that defined the architecture, culture, and velocity that carried through scale. When the first five hires determine whether the company succeeds, you need a search partner who understands what "founding-team caliber" actually means.
Each funding stage demands a different kind of hire. At seed, you need builders who thrive in ambiguity. At Series A, you need operators who can ship. At B and C, you need leaders who can scale without breaking what works. We calibrate every search to the stage, the burn rate, and the board's expectations.
Our relationships extend across the venture community — from seed-stage funds to growth equity. We work directly with portfolio companies on their most critical technical hires, often engaged before the role is even posted. When a partner at a top fund needs a CTO for a portfolio company by next quarter, we're the call they make.
When it's the right fit, we take advisory roles with our customers — helping shape hiring strategy, organizational design, and technical team topology beyond the individual placement. We've guided startups through their first 50 hires, built interview processes from scratch, and advised on engineering org structures through IPO.
How the Work Runs
Seven steps, the same on a single retained search and on a fifteen-year engagement.
Calibration before candidates: what success looks like a year from now, the two walk-away factors, the scorecard the slate will be judged against.
We don't run ads. Candidates come from a twenty-nine-year network of engineers and leaders who take our calls — a 70%+ response rate from target prospects.
Every candidate personally evaluated in depth against the scorecard. Our candidates come from that network, never from an open applicant pool.
Structured instruments, built with you. We don't coach our candidates on your criteria — and afterward we reconcile your panel's impressions with our own notes.
Two to four candidates per search, each one someone we would hire ourselves. Your time is never a proving ground.
We put the brakes on before the offer: acceptance verified before anything is extended, so offers land instead of expiring in negotiation.
We stay in the placement's first year, and we ask the question the search began with: a year from now, what worked?
On multi-year engagements, the process becomes counsel: we advise leadership on how engineering hiring should run, and on the long-term talent strategy the searches serve. The fifteen-year story below is that work.
The seven-step method behind every search on this page, as a download.
How We Operate
Most search firms license the same databases and run the same keyword searches. We built our own system instead. Signal is the working machinery behind every Iconstaff search — agent workflows that map a market, score it against a calibrated success profile, and keep a human recruiter's judgment in front of every decision the software makes.
Building it is the point. A firm that builds its own agents can tell the difference between an engineer who has run a system in production and one who has only read about it — because we live with what our own systems get wrong, every day. That is what our recruiters bring to your search.
See Signal in AI/ML searchResearch agents assemble the whole field — not just the people who applied.
Experience is weighed against the success profile for this role, not matched to keywords.
Senior recruiters make the calls, test the claims, and decide who earns a conversation.
Software widens the field. Judgment decides who belongs on the slate.
Why Iconstaff
The difference is not a slogan. It is who runs the search, how the slate is built, what happens before an offer, and what the record says afterward.
Every Iconstaff claim in this table is part of the firm’s published record.
| Dimension | Iconstaff | The typical search firm |
|---|---|---|
| Who runs your search | Senior recruiters who understand the architecture, not just the titles. | Handed off after the sale, often to junior staff. |
| The slate | 2–4 calibrated finalists. | A pile of keyword-matched resumes. |
| The method | A named, 7-step methodology — the Inbound Recruitment Playbook®. | Ad hoc, recruiter by recruiter. |
| The technology | Signal — our own AI-augmented pipeline, built in-house. | Off-the-shelf databases and keyword search. |
| Before any offer | Acceptance is verified first — interest, compensation, and concerns settled before an offer is written. | The offer goes out and everyone hopes. |
| The record | 29 years · 1,100+ placements · 98% offer acceptance · 92% retention · 45–60 days average time-to-hire. | Ask them. |
Stories
For decades this company made hardware — some of the most respected audio hardware in the world. Then software became half the product, and its leadership bench was two directors deep. "It's not like there are seven software directors and everybody is competing for the next spot. There's not a lot of us. There's two." We placed the bench, then the vice president above it, then the quality and automotive leadership — and advised the company on the talent strategy underneath all of it.
Read the full storyBefore this company existed, we placed one of its founders — as an engineer. When the two founders started a travel company above a pizza shop in Needham, the chief executive called us. We placed their first engineer; he is still there today. Then close to sixty more, over the decade the company became one of the largest travel platforms in the world.
Read the full storyThey found us by word of mouth, through the startup community — an AI company of four people looking for a vice president of engineering. We placed the vice president, then a principal engineer, then the engineers, then the product leadership. At seed stage that is not a sample of the company. It is the core the rest of the company grows around.
Read the full storyWe once put down the first month's rent and the security deposit ourselves, so a hire we placed could actually make the move. No client asked us to do that. No contract covered it. Because a search agreement only covers the search.
Read the full storyBeyond the Search
We once put down the first month's rent and the security deposit ourselves, so a hire we placed could actually make the move.
A search agreement only covers the search. The moves, the customers, the investors, the parts of hiring nobody wants to do — that work belongs to nobody, so we made it ours.
Read Beyond the SearchWhy They Take the Call
The scarcest asset in search isn't a database. It's being the call a busy engineering leader answers. Ours was built the slow way: by placing people well, year after year — and watching them become the leaders who hire.
“He has placed me at two different companies, including my current position. I have also worked with him to find talented people for my team. We have hired many people through him.”
— Distinguished Engineer at a global travel platform; placed twice, then a client
“I'd work with him on a candidate search in a heartbeat, knowing how well he works with candidates themselves.”
— Chief Product Officer; placed by Iconstaff, then a client
“I've worked with many recruiters, both as a hiring manager and as a candidate. None of them are in Vito's league. He's the only one I would think of calling.”
— Software leader; both sides of the table, over six years
“What impresses me most, as a candidate, is that he has never once wasted my time with an opportunity that wasn't a plausible match on both sides.”
— Founder & CEO of an AI company; a candidate before she was a founder
Forty-nine recommendations in full — in the carousel below.
What They Say
Real recommendations from LinkedIn — from both sides of the table.
White Papers
What sequencing a founding team teaches that no job description captures.
Read the paper →The costliest mistake in a transformation hire.
Read the paper →Identity fraud in the hiring funnel, and the structural answer.
Read the paper →An offer should confirm a decision, not start a negotiation.
Read the paper →Why the youngest companies need the most senior people they will ever hire.
Read the paper →Our People
Every member of the Iconstaff team has direct industry relationships and operates with the autonomy to move fast on your behalf.

Vito founded Iconstaff in 1997. Since then his teams have placed over 1,000 people, building initial teams at some of the top brands in technology today. Vito graduated from Northeastern University with a B.S. in Marketing and International Business. He has mentored at Techstars, Harvard Innovation Labs, and the Northeastern Venture Mentoring Network-VMN. His clients enjoy access to the best talent, market dominance, and dramatic growth. After 29 years he still enjoys the ability to serve and hustle on behalf of his clients and candidates.

Over her 18-year recruiting career, Denise has held positions as a researcher, sourcing specialist, software product and technology staffing specialist, as well as creative and digital marketing recruiter. She has leveraged her passion for the arts and creative process by carving a niche in digital marketing and web development (UI/UX) recruiting. Denise holds a B.F.A. from Montclair State University.

As the top engineering recruiter at Iconstaff, Mike specializes in placing software engineers and executives. He graduated from the University of Rhode Island and is known for his ability to lead and be an excellent team player. Mike is a steady and reliable partner who has positively impacted thousands of lives.
Current Openings
We're currently recruiting for these roles across AI/ML, autonomy, embedded, cloud, and engineering leadership. Each listing links directly to our application portal.
Boston, MA · Full Time
View roleCambridge, MA · Full Time
View roleBoston, MA · Full Time
View roleRemote · Full Time
View roleBoston, MA · Full Time
View roleRemote · Full Time
View roleFAQ
The hiring company. Candidates are never charged. We're compensated by the organizations we help build — our incentives are aligned with finding the best long-term fit for both sides.
AI/ML and foundation models, autonomous systems and robotics (including embedded), full-stack software engineering, platform and DevOps/SRE, hardware and chip design, data engineering and ML infrastructure, and technical executive leadership (CTO through Staff+). We place IC through C-suite across all of these.
Yes. National US coverage plus international practice in Germany, Taiwan, and other markets. Remote and hybrid roles are a significant portion of our placements.
Retained search, contingent placement, contract staffing, contract-to-hire, and nearshore team augmentation. For executive and senior technical roles, we recommend retained engagements for the most thorough and confidential process.
29 years and 1,100+ placements gives us a network that can't be replicated in any database. Our Inbound Recruitment Playbook® is a 7-step methodology designed to identify, engage, and recruit the top 15% of technical talent while excluding the other 85%. We don't keyword-match. Every search runs on Signal, the AI-augmented pipeline we built ourselves, and is technically calibrated by senior recruiters who understand the architecture, not just the titles.
Yes. We provide current market data, equity benchmarking, and counsel throughout the offer process. 29 years of placement data and active market intelligence gives us a real-time view of what competitive offers look like across every domain we cover.
Not necessarily. Many of the strongest candidates we've placed started with a conversation and a GitHub profile. A well-crafted resume helps accelerate introductions, but it's not a prerequisite for working with us.
Not ready for a call?
Which roles are heating up, where compensation is moving, what top technical talent actually wants. Published quarterly.
Our Commitments
Specific promises can be checked. These are the ones already built into the way every Iconstaff search runs.
You interview finalists, not a resume pile. Our interview-to-hire ratio is 2:1.*
Our outreach to passive candidates returns a 70%+ response rate — because it is personal, technical, and specific.
We never present an offer until acceptance is verified — interest, compensation alignment, and competing concerns are settled first. That is how offers hold at 98%.
Average time-to-hire across our searches, against a 92% retention rate on the people placed.
*On many searches — not every one. The ratio varies by role, level, and market.
Start with a calibration callTell Us Where You're Headed
"If this placement is a success a year from now, what will we be pointing to that really worked?" That is where calibration starts. Tell us where you are headed — we will tell you honestly whether we are the right firm to get you there. If we are not, we will tell you who is.
Your message goes straight to Vito's inbox — no email app needed. He replies personally. Rather talk now? Call the number above.