Lead Engineer
“Sole IC + architectural ownership + cross-team influence” still feels very IC-led, and they passed on a candidate specifically because they came across as more IC-aligned despite having Tech Lead experience on paper.
After approximately 7 years in the industry, this candidate remains at the Software Engineer level without demonstrated Tech Lead responsibilities or clear advancement in seniority. While they show strong individual contributor skills and outcomes, the absence of visible progression raises concerns…
This appears to be a blind submission without clear alignment to the role requirements.
Hesitation is that the profile is overwhelmingly centered on platform engineering and infrastructure optimization, with very little evidence of ownership of customer-facing product areas or the product/business intuition that this search is consistently emphasizing. This is an excellent Staff-level…
The profile leans heavily toward platform engineering, CI/CD, and internal developer productivity rather than ownership of a customer-facing B2B product area. There is also a lack of strong evidence for product/business intuition, cross-functional technical leadership, or customer-oriented ownershi…
Good tenures, definitely seems technically capable, just don't get a strong sense that they're thinking from the customer's perspective or using product intuition to guide engineering decisions.
We're going to be passing on this candidate; they are talented and clearly capable, though our overall impression is that their skills are more IC-aligned than tech lead.
Clearly a very experienced architect, but does not align with our calibration. The profile is heavily centered on platform architecture, distributed systems, AI infrastructure, and technical modernization rather than long-term ownership of a customer-facing B2B product area. While the technical lea…
The profile is heavily weighted toward early-stage startups, developer platforms, and internal infrastructure rather than sustained ownership of a customer-facing B2B product area. While there are strong outcome metrics, they primarily reflect platform adoption and developer productivity instead of…
Tweets, press, and people that show why this team is worth your time.
Attention is hiring a Lead Software Engineer to be a technical anchor on the New York team — shaping architecture, mentoring engineers, and driving high-impact projects from ambiguity to production. 2 tech leads, one more product leaning and one infra leaning. Infra Tech Lead: Backend/platform engineer with deep distributed systems, architecture, and tech-lead ownership. Product Tech Lead: Strong preference for full-stack engineer (backend-leaning is fine) who owns customer-facing product experiences end-to-end
The NYC team currently has 7-8 FDEs transitioning into developers, most of whom have development backgrounds but are pretty junior. The need is really solid senior devs who can provide oversight and mentorship, ship features themselves, and own the harder architectural problems that junior engineers + Claude/Opus aren't going to solve.
The profile is a "cracked tech lead" not an engineering manager. The right person owns one of the more challenging flagship features as quickly as possible — Matthias's specific example is an agentic initiative that provides proactive suggestions to users on the homepage — and gets to team lead level on a core product feature within 6 months.
Key archetype framing:
Yes profiles:
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Built Intercom conversational AI platform to 500M+ messages/month, then led AI SDR product at Qualified.com — perfect fit: AI agents, sales workflows, production systems, B2B product engineering
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6 years at Salesforce Einstein AI, then 3 years at Gong on revenue intelligence / call analytics ML pipeline — strong domain fit in enterprise sales tech; understands sales workflows, compliance, customer expectations, and how technical buyers evaluate AI products
Maybe profiles (require architectural ownership probe)
- Stanford CS → Google L3-L5 → Meta E6 on Llama infra / 10K+ GPU distributed training — strong technical pedigree, but BigCo infra can mean real architectural leadership or excellent execution within a mature system. Worth exploring only if they owned design decisions, led other engineers, and want a product/customer-facing startup environment
- 8 years at OpenAI as early employee / research engineer on model serving / GPT-3 production / GPT-4 launch — impressive depth and tenure but potentially too specialized around inference infrastructure. Worth exploring only if they have broader product engineering instincts and want to operate closer to customers
- Co-founder of AI meeting assistant acqui-hired by Fireflies.ai (12K users / $40K MRR, built transcription / CRM integration / action-item extraction) — founder velocity in the domain is interesting given the CRM / transcription / sales workflow overlap. Key question: did they build a durable engineering system or hack toward early traction?
- 4 years at one Series A startup, joined out of college, scaled backend from 100 to 10M requests/day, promoted to senior after 3 years — potentially a good stage and team-shape match if they clearly owned core architecture
No profiles
- IOI gold medalist / ICPC finalist with high Codeforces rating but no B2B product engineering experience — raw aptitude is high but not the right signal
- Self-taught builder with 6 iOS apps at 200K+ downloads, now at 30-person YC devtools company — builder velocity is impressive but not enough B2B contribution or sustained company-scale architectural ownership
- Stanford '24, one year at Retool, FIDE Master — too junior regardless of aptitude
- Core maintainer of FastAPI with 70K+ stars at a 100-person devtools startup — OSS maintenance alone is not enough; deprioritize unless they clearly led architecture within their current company as well
The hire reports into the engineering org with direct access to Matthias and the CPO. NYC in-person is a hard requirement.
What You'll Own
- Architectural decisions on the AI agent platform that already powers 100+ sales teams across enterprise customers (Scale AI, BambooHR, Abridge, Lovable, Elise AI)
- Direct mentorship of 7-8 FDEs transitioning into developers — review their PRs, raise their floor, accelerate their growth into senior contributors
- Ownership of one flagship feature within 6 months
- Hard architectural problems that aren't solvable by junior engineers paired with Claude / Opus
- Customer-facing product surface: this is product engineering, not pure platform / infra
Requirements
- Distributed systems expertise — deep, real, production-scale
- Go proficiency — primary language of the stack
- AI-forward tooling mindset
- NYC in-person commitment — non-negotiable
- High-ownership temperament — drives projects from ambiguity to production
Profile (the archetype framing)
- 3+ years in one company — has seen systems and tradeoffs evolve over time.
- Operated as a tech lead / eng lead, not just a strong IC — has led other engineers, owned architectural decisions, taken on technical leadership across a system
- Has owned meaningful architecture in a B2B / product engineering context — not just shipped within a mature system, but actually shaped one
- Drove measurable product or business outcomes, ideally in AI, GTM, sales tech, or enterprise SaaS
- Product engineering bias over pure infrastructure / research — customer-facing instincts matter
Nice-to-Have
- Product intuition — can articulate why a feature should exist, not just how to build it
- Side projects or builder track record outside of work
- Familiarity with Temporal for workflow orchestration
- Mentorship instinct — actively wants to raise the floor of the engineers around them
- Background in conversational AI, sales workflows, CRM integration, call analytics, or revenue intelligence
Who Will Thrive Here
- Has been a tech lead at a Series A-D startup that shipped real B2B product to enterprise customers
- Energized by mentoring junior developers and raising the floor of an engineering team
- Wants to be in an NYC office five days a week, building shoulder-to-shoulder with a tight team
- Cares about sales tech, conversational AI, or enterprise GTM — or has the curiosity to fall in love with the space