Senior/Staff Software Engineer (Platform)

Sorry, this job was removed at 10:22 p.m. (CST) on Thursday, Aug 28, 2025
Easy Apply
San Francisco, CA
In-Office
Logistics • Transportation
Pallet is a company dedicated to disrupting the logistics industry.
The Role

You could be an engineer anywhere, why us?

  • Join a well-funded, high-growth startup on the path to IPO ($50M raised, 700% revenue growth in 2 years, targeting a $11T market)
  • Work directly with our Head of Platform Engineering, Aren Patel (ex-Google)
  • Help transform a massive industry and scale us toward a $10 B+ business

About the opportunity:

Given recent economic shifts, logistics providers and shippers want to capitalize on generative AI to drive business efficiency. As a result, many of them are turning to CoPallet, the first end-to-end service of AI agents and logistics experts, to automate their back-office operations. If we can capture this momentum effectively, we’re on track to build the next $10 billion tech company in logistics.

We're hiring Platform Engineers for our founding team. These engineers will create the infrastructure and backbone for our AI agents, build efficient data pipelines, and develop scalable systems that can grow our platform from a few hundred to millions of users. They'll work directly with Aren (ex-Google), Nilkanth (ex-founder, ex-DoorDash), and Vidhur (lead engineer on Document AI at Scale) to develop on top of OpenAI and LangChain frameworks.

Why this role is different:

  • One of the first Platform Engineers at Pallet 
  • Building foundational systems and infrastructure to support AI model development
  • Opportunity to shape a brand new product in an industry worth trillions of dollars
  • Surround yourself with top-tier talent and fast-track your career 

How you will make an impact:

  • Build and maintain the core infrastructure for our AI agent platform
  • Design and implement efficient, scalable data pipelines
  • Develop backend systems that can scale from hundreds to millions of users
  • Collaborate closely with the engineering team on technical architecture and system design
  • Work directly with OpenAI and LangChain frameworks to power our AI capabilities
  • Help shape foundational engineering practices and decisions as an early team member 
  • Manage end-to-end large scale AI infrastructure projects being the main technical lead for a team of 2-3 engineers

Our tech stack: 

  • Database: PostgreSQL
  • Backend: Node + TS. Encore for robust server-side dev and managed DevOps. Hosted on GCP
  • LLMs: Open AI, Anthropic, Google for foundation models, Langchain for model orchestration, Browserbase for browser automation
  • Frontend: React + TS. Hosted on Vercel

Preferred experience:

  • Backend-leaning engineer with 0→1 platform experience and scaling know-how
  • Comfortable with enterprise data and growing user bases (100s → 1000s)
  • Skilled in APIs, data pipelines, and both new + legacy infrastructure
  • Thrives in fast-paced startup environments
  • Excited to collaborate in person 3–4x/week in SF’s Financial District (flexible)
  • Bonus: Node.js, TypeScript, GraphQL (language-agnostic interviews)

Who you are:

  • You own the outcome: taking full responsibility to deliver impact end to end, no excuses.

  • You move fast but with quality: shipping quickly while maintaining sustainable craftsmanship.

  • You experiment relentlessly: embrace a growth mindset, learn from failures, and iterate faster.

  • You push beyond limits: no coasting; you raise the bar for yourself and the team.

  • You thrive in collaboration: value face-to-face teamwork and contribute actively in our in-office culture.

Interview Process

  1. Intro Chat with Head of Talent (30 mins)
  2. Technical Screen + Meet and Greet with Hiring Manager (60 mins) 
  3. Executive Chat - Sushanth, CEO and Founder (30-45 mins)
  4. Final Interview, visit our Fidi office, and deep dive into technical and behavioral interviews (~3.5 hours)

Location:

Since we're a small team building 0-1 products, we prefer for candidates to be comfortable working in an in office environment in San Francisco. We typically come into the office 4 days a week. Relocation assistance can be provided for interested candidates.

Compensation:

The estimated salary range for this role is $195,000 – $265,000, depending on experience and skill set. In addition to base salary, we offer competitive equity, benefits, and opportunities for growth. Final compensation will be determined based on a combination of factors, including experience, qualifications, and location.

Top-Tier Benefits

🩺 Health, Vision, and Dental benefits 

🏝️ Flexible PTO

➕ Life Insurance and Accidental Insurance 

❤️‍🩹 Short-Term Disability Coverage

💸 Generous salary and equity for all staff

🪜 401k option; helping you save for the future

📚 Yearly learning and development stipend

🚌 Commuter benefits for Bay Area employees

🚘 Uber ride stipend if you ever have to work late in the office 

🏡 Remote office home stipend to get you comfy in your space

🍔 Daily catered lunches provided by Sharebite (every meal you order, one meal gets donated)

✈️ Onboarding trip to San Francisco HQ if you work remotely

🥤 Monthly happy hours

🎉 Annual Company Offsites; our last one was in Napa Wine Country 🍷


Pallet is proud to be an Equal Employment Opportunity and Affirmative Action employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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The Company
HQ: San Francisco, CA
48 Employees
Year Founded: 2019

What We Do

Pallet makes supply chains more efficient. Our AI workforce, CoPallet, handles high-volume tasks like order entry, portal updates, and quoting — all with human-level accuracy and oversight. CoPallet operates your existing tools and processes at a fraction of the cost.

We’ve raised over $50M from General Catalyst, Bain Capital Ventures, Activant Capital, and Bessemer Venture Partners. We’re built by a team from the world’s best companies including Google, Rippling, Scale AI, Uber, and other top startups.

Why Work With Us

We move fast, but not at the expense of our people. Growth here means more than hitting metrics — it’s about giving smart, ambitious people the space to stretch, learn, and take on real responsibility.

Ownership from day 1: We hire builders. People who want to make decisions, talk to users, and shape how our AI agents evolve.

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