Soda Data

Machine learning–driven data quality observability platform

Lead Sales Engineer

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours

Full-timeBrooklyn, NY, USA

About the Job

Requirements

Have at least 6 years of experience as a Sales Engineer, Solutions Engineer, or Solutions Architect at a B2B SaaS company, supporting enterprise deals with $100K+ ACV, multiple stakeholders, and sales cycles of at least three months.
Have developed other Sales Engineers through onboarding, demo coaching, or mentoring, and be able to describe whom you developed and what you did.
Be fluent in Python and SQL, with the ability to read, write, and debug both in front of a customer.
Communicate clearly and calmly with customers under pressure, explaining technical concepts to both Data Engineers and Chief Digital Officers.
Give specific feedback focused on work rather than the person, and address issues directly.
Demonstrate a builder mentality by writing documentation proactively, automating repetitive tasks, and being willing to learn.
Be based in the United States.

Responsibilities

Own the technical win on the largest enterprise deals, from the first technical call through architecture review, security review, proof of concept, and closed-won.
Scope proofs of concept against customer success criteria and manage scope so evaluations finish.
Own technical and security responses to requests for proposals, including SOC 2 and information-security questions from regulated buyers.
Ramp new US Sales Engineers by handling onboarding, supporting their first demos, and determining when they are ready to work independently.
Coach demos and run technical deal reviews, providing feedback on what did not land and why.
Build reusable demo environments, proof-of-concept templates, and competitive positioning materials.

Desired Qualifications

Experience selling data quality, governance, or observability tools.
Experience selling to regulated industries such as financial services, pharma, energy, or insurance.
Fluency with data-stack technologies including Snowflake, Databricks, BigQuery, dbt, Airflow, and Kafka.
Interest in growing into a management track.

Lead Sales Engineer (Remote)

Soda Data · Brooklyn, United States (Hybrid) · — · Posted 2026-07-28

Salary: USD 160,000–180,000

Workplace: hybrid

Department: Sales

Description

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 remote Lead Sales Engineer to own the technical side of our biggest enterprise deals and to bring up the SEs behind you. Direct line to the CRO, Director of Customer Engineering, and product team - no layers.

Who this is this for

Sales Engineers who've already done the job well and want more than another quota to support. You've owned the technical win on enterprise deals, and you're already the person junior SEs come to after a demo went sideways.

If you want a big-company SE org with an enablement team, this isn't it. If you want the hardest deals and the machine that makes everyone else better at them, this is it.

What you'll do

Own the technical win on our largest enterprise deals - first technical call through architecture review, security review, PoC, and closed-won
Scope PoCs against the customer's stated success criteria, and hold the scope so evaluations actually finish
Own technical and security responses on RFPs, including SOC 2 and infosec questions from regulated buyers
Ramp new US SEs - their onboarding, their first demos, and the call on when they're ready to go solo
Coach demos and run technical deal reviews. Tell people what didn't land and why
Build the reusable stuff - demo environments, PoC templates, competitive positioning

Hiring process

Phone screen interview - 15 minute call with a founder
Recorded demo - We'll give you access to the product. You'll record a short demo of Soda to a hypothetical customer.
Deep dive interview - one deal you won, one you lost, and scoping a PoC from a short scenario
Culture fit with the team

What you might not love

Priorities move. Expansion phase, a lot of work, not a lot of process.
No enablement team. If the PoC template doesn't exist, you write it.

Requirements

Must have

6+ years as a Sales Engineer, Solutions Engineer, or Solutions Architect at a B2B SaaS company, on enterprise deals - $100K+ ACV, multiple stakeholders, three-month-plus cycles
You've developed other SEs - onboarding, demo coaching, or mentoring. Tell us who you brought up and what you actually did
Fluent in Python and SQL - you can read, write, and debug both in front of a customer
Strong customer communication - clear, calm, and honest under pressure. You can explain something technically complex to a Data Engineer and to a CDO in the same conversation
You give feedback that lands - specific, about the work and not the person. You'd rather have the awkward conversation this week than the same one in three months
Builder mentality, humble, high-horsepower - you write docs without being asked, you'd rather automate a task than repeat it, and you'd rather learn what you're missing than bluff it
Based in the US

Nice to have

Experience selling data quality, governance, or observability tools
Experience selling into regulated industries - financial services, pharma, energy, insurance
Data stack fluency - Snowflake, Databricks, BigQuery, dbt, Airflow, Kafka
Interest in growing into a management track

Benefits

Base salary: $160,000-$180,000
Equity - everyone full-time at Soda is a shareholder
Location: Remote (US-based)
Benefits: PTO, 401k, medical insurance

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About the Company

Soda Data

Machine learning–driven data quality observability platform

Soda.io is a SaaS platform for data monitoring and observability that helps organizations keep their data accurate and trustworthy. Its core product uses machine learning to detect anomalies in data and automate quality checks, giving real-time alerts and dashboards to monitor data integrity across data pipelines. The platform operates on a subscription model with multiple tiers and a free 45-day trial to attract customers. Soda.io differentiates itself by focusing specifically on data quality and observability (not application performance) with ML-driven anomaly detection and comprehensive dashboards, serving a global enterprise and B2B clientele. The company’s goal is to help enterprises maintain high data reliability so business decisions are based on trustworthy data.

Company size: 51-200
Company stage: Series A
Total funding: $30.3M
Headquarters: City of Brussels, Belgium
Founded: 2018

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