Altis Logo

Altis

Founding Engineering Lead

Posted 2 Months Ago
Be an Early Applicant
In-Office
New York City, NY, USA
230K-330K Annually
Entry level
In-Office
New York City, NY, USA
230K-330K Annually
Entry level
Build and own AI-powered research-enablement tooling, shape the engineering roadmap, make architecture decisions, establish engineering processes, and help scale the team. The role partners closely with research, sourcing, engineering, and the CEO to improve report-production speed and product adoption. Responsibilities also include delivery planning, communicating risks, designing technical interviews, and developing external API or MCP capabilities.
The summary above was generated by AI

Founding Engineering Lead

About Altis

Altis provides independent, institutional-grade diligence research on Series A and later-stage companies for venture investors. Private investors are beginning to rely on the proprietary research, experts, and data that is only available on the Altis platform. The team pairs MBB-caliber diligence training with advanced AI to create high-quality work faster and at a lower cost than traditional methods.

About the Role

Altis is growing their Founding Engineering team to help drive their product offerings and own different parts of the tech stack. You'll report directly to the CEO, partner with our existing engineering team on architecture and roadmap, and help build the team from 2 engineers today toward roughly 10. The biggest gap you'll be closing on day one: bringing a product mindset to our roadmap that’s deeply tied to speeding up our research processes.

New York City - in-person; 4 days a week expected.

What You'll Do

  • Help share and own the roadmap and delivery of Altis' internal research-enablement tooling - sit with the research and sourcing teams to understand their real workflows, with a goal of meaningfully cutting the time it takes them to produce a report

  • Commit to delivery dates for engineering's key initiatives, hit them, or flag slippage early and clearly

  • Partner with our existing engineering team on architecture decisions, including Altis's move toward direct API/MCP access for customers

  • Report directly to the CEO as a technical thought partner on product and roadmap tradeoffs

  • Stand up the engineering processes (planning, review, ownership) a growing team needs

  • Help design and run the technical interview process as the team scales

What You Bring

  • A track record of shipping software that is an excellent product that its intended users actually adopted, not just software shipped to spec

  • Comfort owning and communicating delivery timelines, including flagging risk before it becomes a surprise

  • Strong communication skills with both technical peers and non-technical stakeholders, including a CEO

  • Experience with AI-native, LLM- or RAG-powered products

Nice to Haves

  • Experience leading and scaling engineering teams, ideally at an early-stage (seed/Series A) startup - rather than a background primarily at a large/big tech company

  • Exposure to designing external API or MCP-style developer surfaces

  • Comfort evaluating and evolving an existing codebase and architecture built by an early engineering team

What You'll Get

  • Competitive cash and equity compensation, commensurate with experience and scope

  • A direct reporting line to the CEO and real ownership over key engineering and product decisions.

  • A ground-floor seat at a fast-growing, recently-funded research company with early customer traction across venture and institutional investors

  • A New York City-based team

What We Value

We believe confident nonsense is worse than honest ambiguity. Altis operates with the same rigor and transparency in how we build our own tools as we do in the research we sell - full ownership, clear communication, and no shortcuts on the truth.

Similar Jobs

One Month Ago
Remote or Hybrid
United States
Entry level
Entry level
Social Impact
Own PAM’s product direction, technical roadmap, prioritization, and end-to-end execution. Scale and stabilize its AI-powered pitch feedback platform, improve feedback and scoring systems, manage infrastructure and AI costs, establish product operations, and prepare the beta product for commercialization. The role requires hands-on technical judgment across frontend, backend, AI workflows, cloud infrastructure, reliability, and monetization readiness.
Top Skills: Ai WorkflowsCloud InfrastructureDeployment PipelinesLarge Language ModelsReactTranscription Systems
One Month Ago
In-Office
New York, NY, USA
Senior level
Senior level
Artificial Intelligence • Machine Learning • Sales • Software
Lead architecture and end-to-end delivery for Sylvan’s autonomous revenue platform. Build initial versions of complex systems, guide ML and product strategy, establish engineering standards for agent-driven development, and lead a pod of three to four engineers. Responsibilities include sprint planning, technical design, infrastructure decisions, hiring, performance management, and shipping production work with significant autonomy.
Top Skills: Ai AgentsMachine LearningTransformersWorld Models
3 Months Ago
In-Office
New York, NY, USA
180K-220K Annually
Senior level
180K-220K Annually
Senior level
Artificial Intelligence • Financial Services
Lead the technical foundation for Meeno's AI-driven social platform, focusing on web, mobile, backend, and experimentation while mentoring engineers and ensuring high-quality product delivery.
Top Skills: AIBackendDataLow-Latency InteractionsMobileVoice CaptureWeb

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account