Director, Sales Engineering

Company shown to members 🔒 · Remote · US only

US only5+ years required$206K–257K/yrPublished 27 October 2026Looks fresh

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First recorded by Psst: 28 October 2026. Your first 3 jobs are free to apply to (the first right away, 2 more with your email). After that, the company and the apply link are for Psst members, from $4.99 for 7 days.

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The 20-second read

Experience
5+ years required
Where you can live
US only
Skills and tools
zoom, sql, python, java, aws, gcp

Read from the ad by Psst's rules. Check the full ad below before applying.

Job details

Where you can work
United States
Employment type
Not stated by the employer
Advertised pay
$206K–257K/yr
Experience
5+ years required
Employer publication date
27 October 2026
First recorded by Psst
28 October 2026
Last checked at the source
10 November 2026

About the job

The company is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, the company connects the full enterprise AI stack - empowering organizations to run AI across multi-vendor environments with centralized governance.

The world’s leading companies rely on the company to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the company blog , LinkedIn , X , and YouTube .

We seek an energetic, optimistic, curious, and empathetic coach and leader to manage a growing team of Enterprise Solution Engineers across the US East, driving the next wave of customer outcomes.

As Director, Sales Engineering in the US East, you will

  • Lead a team of trusted advisors who are responsible for demonstrating the value of the company’s AI and Agent Management platforms.
  • Partner with the sales organisation to earn new and retain existing the company clients by championing and delivering AI-enabled business strategies.
  • Collaborate with internal stakeholders across product, marketing, sales, customer success, and others to align on AI native go-to-market motions.
  • Mentor your team; hire and retain top talent with a strong focus on balancing tech and sales expertise.

You'll be successful in this role if you can

  • Coach sales engineers on the company’s evolving product value, competitive differentiation, and the application of the Challenger Sales methodology.
  • Serve as a player/coach to engage on high-profile customer opportunities, providing a strategic lens and elevating delivery.
  • Serve as a technical point of contact for sales leadership; communicate technical risks and opportunities faced in sales engagements
  • Mentor team members; host regular check-ins, provide career guidance, and hire and scale the team.
  • Build strong working relationships with cross-functional teams to ensure alignment on delivering customer outcomes.
  • Communicate directly with sales leadership to strategise around adoption and expansion.
  • Host enablement sessions focusing on the latest in technology trends.
  • Partner with the Sales Engineering leadership to refine key performance indicators for your team.

You could be a good fit if you have

  • At least five years of experience in sales engineering.
  • At least two years of people management experience, including a passion for building and hiring teams.
  • Experience in complex/large-scale enterprise AI and analytics deployments.
  • Deep understanding 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 rapidly evolving AI market.
  • Demonstrated intellectual curiosity regarding the intersection of business, traditional machine learning, and Agentic AI technologies.

Other preferred qualifications

  • Proficiency in programming languages (Python, R, SQL, Java, etc.).
  • Experience with cloud services and their respective AI/ML services (AWS Bedrock, Azure Foundry, GCP Vertex AI, etc.).
  • Understanding of the modern AI lifecycle, including LLM fine-tuning, prompt engineering, RAG pipelines, agentic orchestration, alongside the traditional machine learning lifecycle (feature engineering, model training, model deployment).
  • Knowledge of machine learning and agentic frameworks such as LangChain, LlamaIndex, Hugging Face, TensorFlow, PyTorch, or Scikit-learn.
  • Experience driving AI Native GTM transformations
  • Excellent communication and presentation skills, with the ability to demystify complex AI concepts for executive audiences.

Compensation and Benefits

The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training. Eligible roles may also be entitled to receive commission or other variable compensation through the company's incentive compensation program.

The company also offers comprehensive benefits, including stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a 401k company match, paid vacations and sick leave, paid parental leave, employer paid disability coverage, and additional health and wellbeing perks and benefits. The company reserves the right to amend or modify employee perks and benefits at any time.

US only national base pay ranges

$206,000 — $257,000 USD

What are you waiting for!

At the company, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to the company! And if you’d like to learn even more about working here, you can visit the company LinkedIn page .

Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. The company also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: [link for members]

Protect yourself from fraudulent recruitment activity

The company will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity  here.

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