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Soda

Sales Engineer (NYC)

Sorry, this job was removed at 02:54 p.m. (EST) on Friday, Sep 11, 2026
In-Office
New York, NY, USA
100K-130K Annually
Junior
In-Office
New York, NY, USA
100K-130K Annually
Junior

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Work on enterprise deals as an in-person Sales Engineer in Brooklyn: run demos, scope PoCs, build custom demos and PoC environments, respond to RFPs/RFIs, support evaluations and implementations, liaise with data engineering and leadership, and provide product feedback to engineering and product teams. Occasional travel to customers and conferences.
The summary above was generated by AI

Data quality is the bottleneck of the AI era. Every Fortune 500 is trying to solve it. We're the team they call.

Soda is the data quality layer for Disney, Ralph Lauren, CBRE, HelloFresh, 2K Games, and Nubank. The category is growing rapidly because AI doesn't work on bad data.

We're hiring a Sales Engineer in our Brooklyn HQ, working in-person with the CEO, CMO, and the rest of the GTM team. You'll work on enterprise deals with the most technical buyers in the market, learn the full sales cycle from people who've built and sold to enterprises before, and grow fast.

Who this is for

Sales Engineers with a couple of years under their belt who want to level up. You've run demos, supported PoCs, and worked with AEs on real deals - now you want to do it at a startup where the deals are technical, and you can move fast without layers of process getting in the way.

You'll work directly with AEs, and the CRO on enterprise accounts. You'll run demos, scope PoCs, and own the technical side of deals - with support when you need it and room to grow into bigger deals as you prove yourself.

What you'll do

  • Run demos and scope PoCs alongside our AEs, from first technical call through to closed-won
  • Translate customer problems into Soda solutions, and translate Soda's capabilities into the customer's language
  • Build custom demos, sample pipelines, and PoC environments that show real value
  • Own product, technical, and security responses on RFPs and RFIs
  • Support customers through evaluation, purchasing, and implementation
  • Be the technical voice in the room - with Data Engineers, Heads of Data Platform, and Chief Data Officers
  • Feed product and engineering the signal from the field - what's winning, what's losing, and why
  • Travel occasionally to customer sites, team offsites, and conferences
  • Wear many hats - it's a startup, you'll touch every stage of the sales cycle

How you'll operate

  • In-person from day one in Brooklyn, sitting next to the CEO and CMO
  • Direct line to the CRO, co-founder, and product team - no layers
  • Learn the product deeply - Soda Core (open source) and Soda Cloud (commercial)
  • Learn the enterprise data stack - Snowflake, Databricks, dbt, Airflow, Kafka

Requirements

Must have

  • 1-3 years as a Sales Engineer, Solutions Engineer, or similar customer-facing technical role at a B2B SaaS company
  • Undergraduate degree (or higher) in a technical field - Computer Science, Applied Mathematics, Engineering, or similar
  • Fluent in Python - you can read, write, and debug it in front of a customer
  • Experience running demos and supporting PoCs in customer environments
  • Strong customer communication - clear, calm, and honest under pressure. You can explain something technically complex to a Data Engineer and to a VP of Data in the same conversation
  • Builder mentality, process-oriented - you want to optimize and streamline boring processes. You write docs without being asked. You notice when a process is broken and propose a fix. You'd rather build an AI workflow to automate a repetitive task than do it manually three more times - and you have examples of doing exactly that
  • High horsepower and ruthless prioritization - you context-switch well, manage multiple projects with expansive ownership, and don't drop balls
  • Have a humble attitude, an eagerness to help others, and a desire to pick up whatever knowledge you're missing to make both your team and our customers succeed
  • Based in NYC or willing to relocate

Nice to have

  • Top university degree
  • Experience selling to data teams (Data Engineers, Data Platform, CDOs)
  • Familiarity with data quality, governance, or observability tools
  • Data stack fluency - Snowflake, Databricks, BigQuery, dbt, Airflow, Kafka
  • Experience at a high-growth Series A-C startup
  • Experience building or presenting custom demos

Benefits
  • Base salary: $100,000-$130,000
  • Equity
  • Location: In-person, Brooklyn HQ
  • Benefits: Unlimited PTO, 401k, medical insurance
Hiring process
  1. Phone screen interview
  2. Recorded demo - We'll give you access to the product. You'll record a short demo of Soda to a hypothetical customer.
  3. Technical interview
  4. Culture fit with the CRO and Director of Customer Engineering

Soda New York, New York, USA Office

New York, New York, United States

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

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