Get hired atPrimepoint×The Anti Job Board

How to Actually Get Hired

Who reads applications, which channel gets a reply, and what they screen for.

<50 peopleSan MateoAI

Don't make these mistakes

Calling this a supply chain startup (it is not). Vague enthusiasm about 'AI transforming construction.' Every contractor sales rep says that. Be specific about drawings, specifications, and the reconciliation problem.

What gets their attention

The press release explicitly states the capital will fund platform development and expansion of the customer base to large commercial general contractors across the US. Sectors named for expansion: data centers, residential developments, and education facilities. That is a product roadmap and a sales roadmap announced simultaneously. Navitas Capital is the lead investor and a construction technology specialist. Their portfolio is concentrated in proptech and construction software. They do not invest in construction-adjacent SaaS; they invest in construction-native tools. That focus means they push portfolio companies toward deep GC and subcontractor integrations, enterprise sales motions, and construction-specific compliance and data standards. That is a hiring thesis: enterprise AEC sales, solutions engineering, and construction domain expertise. NextView Ventures focuses on seed-stage companies solving everyday problems through software. Their involvement alongside Navitas suggests Primepoint is being positioned as infrastructure software with a wide deployment surface, not just a point solution for a narrow niche. That shapes the growth and product roles needed. Yann LeCun's check is a technical credibility signal in a market where credibility is hard to establish. Large GC procurement teams are conservative. Having the name of the founder of modern deep learning attached to the round makes enterprise sales conversations easier and opens doors to technical partnerships. One live role posted via Dover: app.dover.com/apply/primepoint.

Why applying the normal way doesn't work

With only <50 employees, Primepoint doesn't have dedicated recruiters. Founders review applications between running the company. The challenge isn't competition — it's visibility. Direct outreach wins.

Who to contact at Primepoint

Who decides:a founder or department head
Best channel:LinkedIn or direct email

Founding team

LB
Lubomir Bourdev
Co-founder & CEO

Bourdev is a founding member of Facebook AI Research and one of the architects of modern computer vision. He built the original object recognition system that runs on every photo and video uploaded to Facebook and Instagram, a system operating at a scale most engineers never touch. Before Primepoint, he co-founded WaveOne, a deep learning video compression company, which Apple acquired in 2023. He holds more than 100 patents and has over 100,000 citations on his published research. His PhD is from UC Berkeley in Machine Learning. He is from Plovdiv, Bulgaria, studied at Brown University as an undergraduate, and has spent his career at the intersection of research-grade AI and real-world deployment. Bourdev is one of the most cited researchers in computer vision. His early work on human pose estimation (the "poselets" paper at Berkeley) is foundational to modern visual understanding systems. He has published across CVPR, ICCV, and ECCV. His personal website at lubomir.org is the best entry point for his research arc. He is not a blog writer or a pundit. His ideas live in papers and in products. Yann LeCun investing personally is the peer review equivalent: one of three people most responsible for modern deep learning chose to back him with personal capital. Bourdev grew up in Bulgaria during the post-Soviet transition, an environment where resourcefulness and technical self-sufficiency mattered early. He moved to the US for Brown University, then stayed for Berkeley and the FAIR founding. The path from Bulgarian childhood to founding Facebook's AI research organization to building construction intelligence software is not an obvious line, but it makes sense when you see the thread: he has always worked on problems that require understanding the visual world at scale, from human bodies to video compression to technical drawings. WaveOne's Apple acquisition in 2023 means he has already been through one full cycle from founding to exit.

HP
Hamid Palo
Co-founder & CPO

Palo joined Trello as employee number five. He spent nine years at Trello and then Atlassian after the $425M acquisition, eventually becoming Director of Product and leading Trello's transition to enterprise. After a sabbatical in 2022, he joined Uber to take grocery delivery from zero to one. The career arc is a masterclass in product scale: he has been inside a product at single-digit headcount and inside a product at tens of millions of users, and he knows what changes at each stage. He has been building AI-native products in construction since before Primepoint was announced, which is why Bourdev recruited him specifically. He gave a detailed podcast interview on the ScaleUp & Up podcast (July 2024) about product development at Trello, Atlassian, and Uber, and his thinking on construction tech. That episode is worth listening to before outreach. He discusses letting go of ownership in a fast-scaling product, the emotional toll of acquisition, and his specific view on what goes wrong when startups try to hire the conventional "middle" rather than the extremes. This maps directly to Eigen's "U-shaped" team thesis, which suggests it is a shared philosophy in the Bay Area founding community right now. Joining Trello as employee number five is one of the more remarkable early bets in modern SaaS history. Trello had $0 in revenue when Palo joined and was acquired for $425M within a few years. He rode that arc all the way through enterprise product management before walking away for a sabbatical. The sabbatical itself is notable: a 2022 pause, taken deliberately, before moving to Uber, then founding Primepoint.

What to show them

This is Bourdev's domain. The product is built on specialized computer vision and knowledge graph infrastructure for technical drawings. As the platform expands to new project types and document formats, the ML team needs to grow. Bourdev spent his career building systems that understand visual content at scale: from Facebook's image recognition to WaveOne's video compression. He will hire people who think about visual representation and spatial understanding at a research level, not just application level. Core skills: Computer vision, knowledge graphs, document AI, PyTorch or JAX, spatial reasoning, Python, experience with structured document understanding or OCR-adjacent problems. Proof of work: Take any publicly available set of construction drawings (many architecture schools post these) and write a short technical memo describing how you would approach connecting drawing tags to a specification document using ML. Include the specific failure modes you'd expect and how you'd test against them. No code required; the thinking is the proof.

A cold email that works at Primepoint

Subject: Senior ML Engineer / Computer Vision, [your one-line proof]
Hi Lubomir, I read your work on human pose estimation at Berkeley before I saw the Primepoint announcement, so the connection to spatial understanding in technical drawings made immediate sense to me. I wrote a short technical memo on the tag-to-spec linking problem: [link]. The cross-document reference challenge is the part I'd want to dig into further. Worth a conversation?

What Primepoint screens for

What they look for: The press release explicitly states the capital will fund platform development and expansion of the customer base to large commercial general contractors across the US. Sectors named for expansion: data centers, residential developments, and education facilities. That is a product roadmap and a sales roadmap announced simultaneously. Navitas Capital is the lead investor and a construction technology specialist. Their portfolio is concentrated in proptech and construction software. They do not invest in construction-adjacent SaaS; they invest in construction-native tools. That focus means they push portfolio companies toward deep GC and subcontractor integrations, enterprise sales motions, and construction-specific compliance and data standards. That is a hiring thesis: enterprise AEC sales, solutions engineering, and construction domain expertise. NextView Ventures focuses on seed-stage companies solving everyday problems through software. Their involvement alongside Navitas suggests Primepoint is being positioned as infrastructure software with a wide deployment surface, not just a point solution for a narrow niche. That shapes the growth and product roles needed. Yann LeCun's check is a technical credibility signal in a market where credibility is hard to establish. Large GC procurement teams are conservative. Having the name of the founder of modern deep learning attached to the round makes enterprise sales conversations easier and opens doors to technical partnerships. One live role posted via Dover: app.dover.com/apply/primepoint.

Don't send a generic CV to Primepoint. Mirror the job posting's language to get past automated screening.

Mistakes that kill applications

At <50 people, a copy-paste CV is immediately obvious. It's an instant no.

Lead with their problem, not your ambition. Primepoint is focused on Construction is a $13 trillion global industry running on PDFs — show you understand that.

Don't apply and wait. The median AI application gets no response ever. One follow-up at day five roughly doubles reply rates.

Frequently asked questions

How do I apply to Primepoint?

Through the roles on our Primepoint jobs page, or directly to a founder or department head if you can reach them. At <50 people, direct outreach outperforms the form.

Does Primepoint respond to cold emails?

We're still collecting cold email data for Primepoint.

Who is the hiring manager at Primepoint?

At this size, hiring is usually run by a founder or department head.

How competitive is it to get hired at Primepoint?

<50-person AI companies see ~50-100 applicants per role in two weeks. The 72-hour window is your advantage.

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