{"id":3359629,"url":"https://alion.io/job/dataiku-director-sales-engineering-2","title":"Director, Sales Engineering","company":{"id":141,"name":"Dataiku","domain":"dataiku.com","url":"https://alion.io/company/dataiku","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":70,"open_postings":14,"ghost_share":0.5,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":48,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Solutions","role_family":"Solutions","seniority":"head","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":187000,"max":234000,"currency":"USD","period":"year","gross":null,"usd_annual":234000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"RAG","optional":false},{"name":"AWS","optional":true},{"name":"AWS Bedrock","optional":true},{"name":"Azure","optional":true},{"name":"Fine-tuning","optional":true},{"name":"GCP","optional":true},{"name":"Hugging Face","optional":true},{"name":"Java","optional":true},{"name":"LangChain","optional":true},{"name":"LlamaIndex","optional":true},{"name":"LLM","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true},{"name":"Scikit-learn","optional":true},{"name":"SQL","optional":true},{"name":"TensorFlow","optional":true},{"name":"Vertex AI","optional":true}],"status":"live","first_seen_at":"2026-10-27T16:11:11Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-10-29T21:19:36Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":1},"description":"Dataiku 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, Dataiku connects the full enterprise AI stack - empowering organizations to run AI across multi-vendor environments with centralized governance.\nThe world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.\nWe seek an energetic, optimistic, curious, and empathetic coach and leader to manage a growing team of Enterprise Solution Engineers across the US West, driving the next wave of customer outcomes.\nAs Director, Sales Engineering in the US West, you will:\nLead a team of trusted advisors who are responsible for demonstrating the value of Dataiku’s AI and Agent Management platforms.\nPartner with the sales organisation to earn new and retain existing Dataiku clients by championing and delivering AI-enabled business strategies.\nCollaborate with internal stakeholders across product, marketing, sales, customer success, and others to align on AI native go-to-market motions.\nMentor your team; hire and retain top talent with a strong focus on balancing tech and sales expertise.\nYou'll be successful in this role if you can:\nCoach sales engineers on Dataiku’s evolving product value, competitive differentiation, and the application of the Challenger Sales methodology.\nServe as a player/coach to engage on high-profile customer opportunities, providing a strategic lens and elevating delivery.\nServe as a technical point of contact for sales leadership; communicate technical risks and opportunities faced in sales engagements\nMentor team members; host regular check-ins, provide career guidance, and hire and scale the team.\nBuild strong working relationships with cross-functional teams to ensure alignment on delivering customer outcomes.\nCommunicate directly with sales leadership to strategise around adoption and expansion.\nHost enablement sessions focusing on the latest in technology trends.\nPartner with the Sales Engineering leadership to refine key performance indicators for your team.\nYou could be a good fit if you have:\nAt least five years of experience in sales engineering.\nAt least two years of people management experience, including a passion for building and hiring teams.\nExperience in complex/large-scale enterprise AI and analytics deployments.\nDeep understanding of the AI landscape, including foundation models, LLMOps, Retrieval-Augmented Generation (RAG) architectures, and autonomous AI agents.\nExperience building and enabling high-performing technical teams in a rapidly evolving AI market.\nDemonstrated intellectual curiosity regarding the intersection of business, traditional machine learning, and Agentic AI technologies.\nOther preferred qualifications:\nProficiency in programming languages (Python, R, SQL, Java, etc.).\nExperience with cloud services and their respective AI/ML services (AWS Bedrock, Azure Foundry, GCP Vertex AI, etc.).\nUnderstanding 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).\nKnowledge of machine learning and agentic frameworks such as LangChain, LlamaIndex, Hugging Face, TensorFlow, PyTorch, or Scikit-learn.\nExperience driving AI Native GTM transformations\nExcellent communication and presentation skills, with the ability to demystify complex AI concepts for executive audiences.\nCompensation and Benefits\nThe 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 Dataiku's incentive compensation program. \nDataiku 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. Dataiku reserves the right to amend or modify employee perks and benefits at any time.\nUS only national base pay ranges\n$187,000—$234,000 USD\nWhat are you waiting for!\nAt Dataiku, 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 Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.\nOur practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku 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: \nProtect yourself from fraudulent recruitment activity\nDataiku 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. 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