Senior Solutions Engineer, Pre-Sales

Omni
United States
Remote

Who this role is best for

Candidates with pre-sales experience in enterprise data analytics and strong technical stack knowledge will find this remote, collaborative role with a high-growth startup appealing.

Best fit for

  • Candidates with 7+ years in enterprise data analytics and a background in high-growth startups will thrive here.
    — “7+ years of pre-sales experience ... high-growth, Series A-D startup is preferred.”
  • Individuals who enjoy client-facing roles and can translate technical concepts to non-technical audiences will excel.
    — “Exceptional, consultative communication skills across technical and non-technical audiences.”
  • Those with hands-on experience in cloud data warehouses and SQL-driven analytics will have a natural fit.
    — “Deep expertise with the modern data stack ... Strong SQL skills, using SQL for analytics.”

Things to consider

  • Remote work is required, with a preference for Central or Eastern time zones.
    — “This is a fully remote role open to candidates based anywhere in the US, with a preference for candidates based in the Central or Eastern time zones.”
  • The role involves significant collaboration with sales, product, and engineering teams.
    — “Collaborate extensively with Product, Design, and Engineering to provide user feedback and guide product direction.”

How to stand out

  • Highlight experience with cloud data warehouses and SQL in your resume and interviews.
    — “Deep expertise with the modern data stack, including cloud data warehouses ... Strong SQL skills, using SQL for analytics.”
  • Emphasize your ability to lead technical evaluations and shape product direction with field feedback.
    — “You'll own the technical side of every deal ... help shape product direction with feedback from the field.”
  • Showcase your experience with BI tools like Looker and your ability to mentor others.
    — “Prior experience with business intelligence and/or enterprise data analytics tools, modeled BI (such as Looker). Mentoring other SEs along the way.”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • technical expertise in sales process
  • building and presenting proofs of concept
  • transitioning trials into successful customers
  • providing user feedback to product teams
Typical background
7+ years of pre-sales experiencedeep expertise with modern data stack

Skills & requirements

Required

Pre-sales ExperienceDeep Expertise With Modern Data StackStrong SQL SkillsClient-facing ExperienceConsultative Communication SkillsPassion For Working With DataPrior Experience With Business Intelligence And/or Enterprise Data Analytics Tools

Preferred

Experience At A High-growth Startup

Stack & domain

SQLCloud Data WarehousesTransformation ToolsBusiness IntelligenceEnterprise Data Analytics ToolsConsultative CommunicationMentoringCollaborationLeadershipAI AnalyticsData AnalyticsEnterprise Data

About the role

Original posting from Omni via Ashby

ABOUT OMNI

Omni is the AI analytics platform that turns company data into a trusted source of truth for AI. Built on a semantic model, Omni gives enterprises a governed context graph for analytics and AI. Teams use Omni to ask questions in plain English, refine answers in workbooks, and bring trusted data into tools like Claude, ChatGPT, Cursor, and Slack.

Based in San Francisco, CA, Omni has raised $217M from the world’s top investors, including ICONIQ, Theory Ventures, First Round Capital, Redpoint Ventures, and GV. Its latest $120M Series C valued the company at $1.5B.

ABOUT THE ROLE

As a Senior Solutions Engineer, you'll be a trusted technical expert on the Omni platform, empowering customers to do more with their data throughout the customer lifecycle. You'll own the technical side of every deal — building one shared plan with your Account Executive and leading complex technical evaluations from discovery through proof-of-concept, hands-on in each prospect's own data and environment. You'll drive each evaluation forward, bring a clear point of view, and help shape product direction with feedback from the field, all while mentoring other SEs along the way.

RESPONSIBILITIES

  • Partner with the sales team to provide technical expertise in the sales process and beyond, helping uncover and prove out use cases to showcase the value of the Omni platform.
  • Build and present Proofs of Concept in the Omni Platform as part of the evaluation process, while enabling prospective customers on how to successfully use Omni on their data.
  • Smoothly transition trials into successful customers, by partnering with post-sales teams, and engaging with our partners to plan for ongoing support where needed.
  • Collaborate extensively with Product, Design, and Engineering to provide user feedback and guide product direction.

ABOUT YOU

  • 7+ years of pre-sales experience (Solutions Engineering, Sales Engineering, or Solutions Architecture) within business intelligence or data analytics, supporting enterprise customers.
  • Deep expertise with the modern data stack, including cloud data warehouses (e.g. Snowflake, BigQuery, Databricks, Redshift), transformation tools (e.g. dbt), and the broader analytics ecosystem.
  • Strong SQL skills, using SQL for analytics.
  • Experience in a client-facing role, desire to work closely with customers.
  • Exceptional, consultative communication skills across technical and non-technical audiences.
  • Passionate about working with data.
  • Love learning; enthusiastic about helping and teaching others.
  • Prior experience with business intelligence and/or enterprise data analytics tools, modeled BI (such as Looker).
  • Experience at a high-growth, Series A-D startup is preferred.

LOCATION

This is a fully remote role open to candidates based anywhere in the US, with a preference for candidates based in the Central or Eastern time zones.

WHY JOIN US

  • Passionate, supportive team with extensive experience in the space (including founders from Looker and Stitch Data) all working together to win as a team
  • Health, dental, and vision insurance
  • 401(k) Plan (for US-based roles)
  • Unlimited PTO

Omni is an equal opportunity employer. We value diversity and encourage you to apply even if you don’t check every single box. Please, let us know if you need any reasonable accommodations during the interview process.

Source: Omni careers (Ashby)

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