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Dataiku

Director, Sales Engineering

  • Remote
  • 6+ years

Salary

$187,000 - 234,000/ year

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Description

The company makes an enterprise platform for building, deploying, and governing AI, covering analytics, machine learning, and AI agents in one environment. It sits above data platforms, cloud infrastructure, and AI services, and links them with central governance across multi-vendor setups.

Leading companies use the platform to run AI as a measurable business driver.

The team is looking for a coach and leader with energy, optimism, curiosity, and empathy to manage a growing group of Enterprise Solution Engineers across the US West and push customer results forward.

This role is Director, Sales Engineering, based in the US West.

Responsibilities

  • Lead a team of trusted advisors who show the value of the AI and Agent Management platforms.
  • Work with the sales organisation to win new clients and keep existing ones by championing and delivering AI-enabled business strategies.
  • Align with product, marketing, sales, customer success, and other internal groups on AI native go-to-market approaches.
  • Mentor the team, and hire and keep strong talent with a balance of technical and sales skill.
  • Coach sales engineers on the platform's evolving value, competitive edge, and use of the Challenger Sales methodology.
  • Join high-profile customer deals as a player/coach, bringing a strategic view and raising delivery quality.
  • Act as the technical contact for sales leadership, flagging technical risks and opportunities in deals.
  • Hold regular check-ins, give career guidance, and hire and grow the team.
  • Build working relationships with cross-functional teams to deliver customer outcomes.
  • Work directly with sales leadership on adoption and expansion strategy.
  • Run enablement sessions on the latest technology trends.
  • With Sales Engineering leadership, refine the key performance indicators for your team.

Requirements

  • At least five years of sales engineering experience.
  • At least two years of people management experience, with a strong interest in building and hiring teams.
  • Experience with complex, large-scale enterprise AI and analytics deployments.
  • Solid grasp of the AI landscape, including foundation models, LLMOps, Retrieval-Augmented Generation (RAG) architectures, and autonomous AI agents.
  • Experience building and enabling high-performing technical teams in a fast-changing AI market.
  • Curiosity about how business, traditional machine learning, and Agentic AI technologies intersect.
  • Preferred: proficiency in programming languages such as Python, R, SQL, or Java.
  • Preferred: experience with cloud AI/ML services such as AWS Bedrock, Azure Foundry, or GCP Vertex AI.
  • Preferred: understanding of the modern AI lifecycle, including LLM fine-tuning, prompt engineering, RAG pipelines, and agentic orchestration, plus the traditional machine learning lifecycle of feature engineering, model training, and deployment.
  • Preferred: knowledge of machine learning and agentic frameworks such as LangChain, LlamaIndex, Hugging Face, TensorFlow, PyTorch, or Scikit-learn.
  • Preferred: experience driving AI Native GTM transformations.
  • Preferred: excellent communication and presentation skills, able to explain complex AI concepts to executive audiences.

Conditions

Final pay is set during the interview process and depends on factors such as location, internal equity, education, skills, experience, and training.

The role may be eligible for commission or other variable pay under the company's incentive compensation program.

US-only national base pay range: $187,000 to $234,000 USD.

Benefits include stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a 401k company match, paid vacation and sick leave, paid parental leave, employer-paid disability coverage, and other health and wellbeing perks. The company may change perks and benefits at any time.

The company is an equal opportunity employer and welcomes applicants regardless of background.

The company will never ask for payment during hiring, or ask you to make purchases or install third-party apps other than Zoom. Report suspicious recruitment activity through the company's fraud reporting page.

Benefits

  • Stock options.
  • Medical, dental, and vision plans.
  • Flexible spending accounts and pre-tax commuter benefits.
  • 401k company match.
  • Paid vacation and sick leave, plus paid parental leave.
  • Employer-paid disability coverage.
  • Additional health and wellbeing perks.

Where you’d work

Fully remote

You can work from

  • United States

About the company

Dataiku

3 of their 3 open roles are remote

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 21 checks run
  • 1 red flag

Still hiring?

14 checks

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7 checks

1 red flag

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Details11 facts · Role, Location, Compensation
Tech stack
  • Python
  • Java
  • SQL
  • AWS
  • PyTorch
  • Azure
  • LLMs
  • RAG
  • LangChain
Seniority
Director
Equity
Equity offered
Specialty
Solutions Engineering
Region
United States
Pay period
Annual
Show 5 more factsShow less

Role

Category
Solutions & Support
Specialty
Solutions Engineering
Seniority
Director
Experience
6+ years
Tech stack
  • Python
  • Java
  • SQL
  • AWS
  • PyTorch
  • Azure
  • LLMs
  • RAG
  • LangChain

Location

Work model
Remote
Region
United States
Remote from
  • United States

Compensation

Salary
$187,000 - 234,000 / year
Pay period
Annual
Equity
Equity offered

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