Pear VC Logo

Pear VC

Staff Engineer — Tanagram

Reposted 13 Days Ago
Be an Early Applicant
Hybrid
New York City, NY, USA
180K-250K Annually
Senior level
Hybrid
New York City, NY, USA
180K-250K Annually
Senior level
The role involves building tools for agentic coding, collaborating with users, improving products, and leading efforts in a hybrid team environment.
The summary above was generated by AI

Tanagram's mission is to accelerate agentic coding. We automatically find all the engineering lessons buried in codebases, code reviews, incident post-mortems, and Slack chats, and turn them into real-time guardrails that flag or fix risky patterns in coding agents and PRs, so that teams can ship faster and avoid disaster.

We're building a small, diverse team of exceptional engineers who are excited about the future of agentic coding and care deeply about creating tools that make software development faster and more reliable. We're looking for meticulous, high-agency people who have good judgment around what problems to solve, the skills to build a great product around it, and the hunger to iterate towards better versions.

About This Role:

You’ll be working across the stack, including our Typescript+React frontend, Python/Go backend, and LLM infrastructure. You should have a good intuition for the right tools to use, and how to configure, combine, and tweak them to deliver the best results for our users.

You bias towards action, and eagerly jump on things (or assign an agent) “now” rather than “later” or “tomorrow”. You say what you're going to do, and you do it (quickly).

We work hybrid in-person in San Francisco (our office is in Mission Bay) and NYC, but are open to remote for strong candidates.

Here's a guide to how we work.

Responsibilities:
  • Talk directly to users: understand their requirements, build what they ask for, ask for their feedback, follow up as needed, and iterate based on what they say.

  • Craft delightful product interactions.

  • Proactively identify and implement improvements to our product and foundations (e.g. propose improvements to our core product; add database indices to better serve a feature; build internal tooling to manage the user experience around a feature).

  • Other things that may come up from time to time to move our company forward (or keep the lights on).

  • Collaborate closely with teammates and share learnings openly — we value thoughtful discussion as much as rapid iteration.

  • Share and promote your work publicly (e.g. on Twitter, LinkedIn, Reddit, etc).

What We Offer:
  • Challenging work on enterprise-scale codebases and datasets.

  • Unlimited token usage for development using Amp.

  • High compensation (and a long runway).

  • Employee-friendly equity terms (low FMV, early exercise, extended exercise).

  • Your choice of Macbook Pro + computer/office equipment stipend.

  • Health, dental, and vision insurance.

  • A relatively un-chaotic working environment (we aren't pivoting every week).

  • An opportunity to lead and define our company.

Qualifications:
  • Experience building 0 to 1 products, either as a founder, or early engineer at a funded startup.

  • Hands-on experience with the latest AI models, with a strong intuition about model capabilities, the behavioral nuances of each, and how to prompt them to get the best results.

  • Data science experience, especially around clustering and anomaly detection.

  • Clear and thoughtful communication on technical and strategic topics: at this stage, you'll be helping build the foundations of our company. You should have ideas/opinions about almost everything we do, and you should be forthcoming with your thoughts (even if it means being disagreeable).

  • Well-crafted, tastefully-design work examples.

  • Bonus points:

    • Experience working on programming language tooling: compilers/parsers/indexers (e.g. LLVM, tree-sitter, SCIP) or type systems (e.g. Typescript itself or Sorbet).

We encourage you to apply even if you don’t meet every qualification listed. We value potential, curiosity, and a willingness to learn as much as we value prior experience. Tanagram is committed to building a diverse and inclusive team — we believe different perspectives make us stronger.

Compensation:

Depending on the relevance and amount of your experience:

  • Salary for this position ranges from $180,000 to $250,000 USD

  • Equity ranges from 0.5% to 2%.

If we move forward with an offer, you will have a choice between more cash or more equity.

Similar Jobs

49 Minutes Ago
Hybrid
125K-150K Annually
Senior level
125K-150K Annually
Senior level
Automotive • Professional Services • Software • Consulting • Energy • Chemical • Renewable Energy
Lead product strategy and roadmap for Supply Chain Insights, turning compliance, packaging, sustainability, and product data into actionable intelligence. Collaborate cross-functionally, conduct customer discovery, prioritize features, define go-to-market plans, track product metrics, and support product lifecycle processes and team development.
Top Skills: Aha!Azure DevopsConfluenceDaptivInvisionJIRAMicrosoft TeamsPowerPointSharepointSlackZeplin
An Hour Ago
Remote or Hybrid
United States
73K-98K Annually
Mid level
73K-98K Annually
Mid level
Cloud • Fintech • Software • Business Intelligence • Consulting • Financial Services
Deliver sales reporting, data preparation, dashboard updates, and analysis to support sales intelligence. Maintain data accuracy across the warehouse and CRM, build Power BI visuals, execute ETL processes, and translate insights for non-technical stakeholders.
Top Skills: Data WarehouseExcel (Power Query)Microsoft Dynamics 365 CrmPower BIPythonSelf-Service Semantic ModelsSQL
An Hour Ago
In-Office
New York, NY, USA
300K-350K Annually
Mid level
300K-350K Annually
Mid level
Information Technology • Software • Financial Services • Big Data Analytics
Develop and deploy advanced machine learning models across asset classes, focusing on deep learning, sequence/time-series modeling, NLP/LLMs, pre-training, fine-tuning, and reinforcement learning. Design and optimize models for performance, scalability, and robustness to model price formation, market behavior, and risk while collaborating with researchers, engineers, and traders.
Top Skills: Deep LearningFine-TuningJaxLarge Language ModelsNatural Language ProcessingPre-TrainingPythonPyTorchReinforcement LearningSequence ModelingTime-Series Modeling

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