Love our Customers is our #1 Value at Okta.   The Okta Customer First Team lives and breathes this every day.  A critical element of Okta’s strategy is helping our customers accelerate their time to value and expand their relationship with Okta.  This is a key differentiator for Okta and we believe that all customers, large and small, deserve an exceptional experience and this assistance. When we do this well, our customers succeed and Okta succeeds by growing our renewal rates.   

The Success Insights Manager role is an exciting opportunity to help execute a scaled success strategy with the goal of providing exceptional data-driven content at scale that maximizes value for customers post-sale. You will execute digital success programs that involve designing and developing visually engaging and informative data-driven content tailored to our customers’ unique use cases but also scale effectively to meet the needs of our expanding customer base. This content will serve as powerful tools for our post-sales teams, including customer QBRs, automated delivery plans, and more, helping them demonstrate the value of Okta and drive product adoption among our largest customers. Your primary targets will include driving adoption and retention as well as the future growth of our Digital customer base while saving time for customer-facing teams, including those who manage our largest book of accounts. You will be deep in the data, monitoring and optimizing your programs along the way. 

You will partner with many cross-functional groups within Okta, including Product, Business Technology, Data, Marketing, Customer Success, Renewals, Sales, and outside vendors. Success in this role will require both a strong ability to understand the needs of large Enterprise customers and develop solutions that scale. You will obtain in-depth knowledge of Okta products, how they are adopted, and understand our customers and why they stay with Okta while leveraging underlying data to inform new programs and opportunities. You’ll also influence how we engage our customers in a human, meaningful, and value-driven manner. This is the chance to shape a highly visible area of the business that directly impacts our bottom line. 

Job Duties and Responsibilities: 

AI-Driven Automated & Insights Deck Creation:

• Automate the creation of presentation decks and other insights via a deck automation tool, prioritizing the use of AI prompting models to generate proactive and personalized customer narratives. 
• Drive the strategic shift from traditional rule-based logic to scalable, generative AI workflows for producing tailored content that maximizes customer value. 

Customer-Centric Approach:

• Collaborate closely with post-sales customer-facing teams to understand the needs and challenges of our enterprise customers.
• Translate customer and product insights into effective and persuasive deck content that addresses their pain points and highlights Okta's solutions.

Scalability and Product Alignment:

• Design solutions that scale to accommodate a diverse range of enterprise customer profiles.
• Regularly update and refine decks based on product usage data, ensuring they remain aligned with the latest features and capabilities of Okta and drive strong product adoption and retention.

Data-Informed Decision Making:

• Creatively leverage AI techniques to analyze product usage data and program performance, identifying patterns in what is working and what is not working at scale. 
• Develop methodologies to quantify and represent the business impact related to retention and adoption goals through AI-driven automation programs. 

Collaboration and Feedback:

• Work closely with cross-functional teams, including Product Management, Marketing, Data, and Customer Success, to gather insights and feedback for continuous improvement.
• Actively participate in collaborative sessions to align deck content with overarching business goals.

Minimum Required Skills and Abilities:

• AI/Automation Mindset: Proven ability to use data to build insight. Must possess the mindset to transition program design from traditional if/then decision trees to effective AI prompting and LLM workflows. Continuously test, measure, analyze, and recommend optimizations for existing programs and new opportunities
• Possess expertise in data strategy, analysis, and management related to customer marketing, growth marketing, and demand generation skill sets
• Strong understanding of enterprise customer needs and the ability to translate those needs into compelling deck content 
• Knowledge of Salesforce.com, Gainsight, Pendo, Tableau, Databricks, Snowflake, etc. to get the data and insights you need to successfully design, execute, and monitor programs. 
• Bonus points if you have experience with Matik or related deck-automation tools.
• Possess knowledge in the use of various content types and engagement methods, such as AI agents, video, in-app guides, and email, with demonstrated experience in prompt engineering for generating actionable insights and compelling content
• Ability to leverage an effective track record of success to positively influence program execution across teams
• Display effective communication and team collaboration skills
• Demonstrate excellent communication skills (presentation, verbal and written)

Qualifications:

• Prior experience managing digital success programs, as a growth product manager/marketer, or automating insights.
• Experience in building enterprise SaaS adoption programs is desired
• 5+ years of related experience
• Bachelor’s degree; advanced degree in a business, marketing, analytics, or technical field preferred
• Adaptability, flexibility in the face of changing business requirements and conditions
• Knowledge in identity, security, access management, workflow, and/or developer-facing products

#LI-Remote
P22165

The work: 

• Pipeline Architect: Design, build, and maintain scalable end-to-end data pipelines using Databricks, Spark, and related technologies. 

• Transformation Titan: Develop efficient data processing and transformation workflows to support analytics and reporting needs. 

• Integration Hero: Integrate diverse data sources including APIs, databases, and cloud storage into unified datasets. 

• Collaboration Champion: Work closely with cross-functional teams (data science, analytics, business units) to design and implement data solutions that align with business goals. 

• Quality Guardian: Implement robust validation, monitoring, and observability processes to ensure data accuracy, completeness, and reliability. 

• Automation Avenger: Contribute to data governance, security, and automation initiatives within the data ecosystem. 

• Cloud Commander: Leverage AWS services (e.g., S3, Glue, Lambda, Redshift) to build and deploy data solutions in a cloud-native environment. 

Here’s what you need: 

• Experience with cloud-based ETL services (e.g. AWS Glue, Google Cloud Dataflow, Azure Data Factory) 

• Experience with Cloud data warehousing technologies (e.g. Amazon Redshift, Google BigQuery, Snowflake) 
• Experience with Python, SQL, Spark, and PySpark 

• Experience with data platforms like Databricks, Palantir, and Snowflake 
• Familiarity with data orchestration and data quality processes 
• Must be a US Citizen

Bonus points if you have: 

• Secret clearance or above 

• Experience working with federal clients 

• Experience with COTS and open-source data engineering tools such as ElasticSearch and NiFi 

• Experience with Docker/Kubernetes Hadoop/Spark, NiFi, ELK stack 

• Experience with Agile / Scrum

• Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer Associate, Google Professional Data Engineer, IBM Certified Data Engineer, or similar 

CSQ426R15

PLEASE NOTE:
Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. The position is based in the Washington, D.C., Maryland, or Virginia metropolitan area and includes periodic on‑site work and client collaboration. Candidates with an active Secret or higher clearance are strongly encouraged to apply.

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks Platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get from our platform and the return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to utilize your skills and technical credibility to engage and communicate effectively with all levels of an organization. You will report directly to a DSA Manager within the Field Engineering organization. 

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Be the first contact for any technical issues or questions related to the production/go-live status of agreed-upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
• Leverage both Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert-level technical experts, to build the right tasks that are beyond your scope of activities or expertise
• Create, own, and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews, and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:
• Main use cases moving from ‘win’ to production
• Enablement/user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
• Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
• Executive and operational governance
• Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM

What we look for:

• U.S. citizenship 
• 7+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers 
• Programming experience in Python, SQL or Scala 
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role 
• Understanding of solution architecture related to distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management, including account, stakeholder and resource management accountability
• Experience in resolving complex and important escalations with senior customer executives
• Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
• Track record of overachievement against quota, Goals or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Can travel up to 30% when needed

FEQ426R758

Databricks is seeking a Field Chief Technology Officer (Field CTO) for the Americas Industries Business Unit to be a senior, customer-facing technology and business transformation thought leader for our most strategic, often global, accounts in regulated industries. This individual contributor role sits at the intersection of data and AI strategy, industry transformation, and executive relationship-building, working closely with C-level leaders to drive multi-year change on the data platform while representing real-world needs back into Databricks.​

Impact you will have:

• Build and maintain trusted-advisor relationships with C-level executives (CIO, CDO, CTO, CISO, business COs) in large US-based and global accounts, especially in highly regulated industries (financial services, public sector, healthcare, manufacturing).​
• Proactively cultivate a strong social and professional network across customer executives, boards, key industry bodies, and partners, knowing which organizations and forums to engage to open doors with the right stakeholders.​
• Shape executive thinking on modern data and AI architectures, with emphasis on Lakehouse and data platform modernization as the primary lever for long-term Gen AI impact.​
• Lead C-level briefings, strategy sessions, and multi-day workshops that connect business outcomes, regulatory constraints, and operating model change to concrete Databricks-based roadmaps.​
• Serve as a deep technical counterpart in the field, maintaining L200–L300 proficiency across Databricks products and being able to credibly engage architects, data engineers, and data scientists on solution design and trade-offs.​
• Generalize patterns from the field into reusable reference architectures, industry blueprints, and best practices for regulated industries, and share them through blogs, webinars, whitepapers, and conference keynotes.​
• Orchestrate the broader ecosystem (cloud providers, GSIs, consultancies, ISVs) around customer objectives, ensuring Databricks is at the center of multi-year transformation programs rather than isolated projects.​
• Partner with Account Executives, Solutions Architects, Industry Leads, and Product Specialists to drive complex, multi-year sales cycles, securing platform decisions and expansions while influencing ACV and consumption growth.​
• Provide structured, prioritized feedback from strategic customers into Product, Engineering, and Field leadership to influence product roadmap, especially around data, governance, security, and regulated-industry requirements.​
• Mentor senior Field Engineering and industry-focused talent, contributing to a pipeline of principal- and CTO-level leaders and codifying ways of working for complex, regulated accounts.​

What we look for:

• 15+ years of experience spanning enterprise technology and consulting, including leading or advising on multi-year data platform and analytics transformations in large, complex organizations.​
• Significant time spent inside a large enterprise software or cloud company (e.g., Microsoft or similar) in roles that required navigating matrixed organizations and driving change at scale, combined with direct industry exposure rather than a career spent solely in horizontal software.​
• Experience in or with regulated industries (financial services, healthcare, public sector, regulated manufacturing, utilities), with familiarity with regulatory and compliance considerations affecting data and AI platforms.​
• Background that blends:
• Hands-on technology and architecture work on data platforms and analytics.​
• Organizational and operating model change (ways of working, skills, governance).​
• Executive consulting or advisory, ideally seeing transformations through from strategy to multi-year execution, not only strategy decks.​
• Proven ability to operate as a highly credible peer to C-level executives, driving business-outcome-focused conversations while also diving deep into technical details when needed.​
• Strong, proactive networker who is naturally curious about which associations, councils, and forums matter for a given customer set, and who uses those networks to create new executive entry points and opportunities.​
• Demonstrated longevity and impact in prior roles, with evidence of building and sustaining long-term customer relationships and programs rather than frequent short stints.​

FEQ227R170

Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and AI. As a member of our team, you will exercise and grow your expertise in those areas, using open source projects such as Apache Spark™, Delta Lake, and MLflow. This is a customer-facing role, where you will work with customers, your teammates, the product team, our post-sales team,s and partners, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish meaningful outcomes for their businesses. In this process, you will build relationships with our customers, identify and cultivate champions, and establish yourself as a trusted advisor. You will report to a Field Engineering Manager within the Financial Services team at Databricks.

The impact you will have:

• Partner with the sales team to help customers understand how Databricks can help solve their business problems
• Provide technical leadership for customers to evaluate and adopt Databricks
• Consult on big data architecture, execute proof of concepts for strategic customer projects, and validate integrations with cloud services and other 3rd party applications
• Build and present reference architectures, how-tos, and demonstrate applications for customers
• Become an expert in, and promote open source projects (Apache Spark™, Delta Lake, MLflow, and Unity Catalog) across developer communities through meetups, conferences, and webinars
• Travel to meet with customers in your territory

What we look for:

• 6+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges
• Experience designing and architecting distributed data systems
• Comfortable programming in, and debugging, at least one of: Python, SQL, Scala, Java, or R
• Experience working with global system integrators, consulting organizations, or financial services technology, or financial services data providers is a positive differentiator 
• Experience building solutions with public cloud providers such as AWS, Azure, or GCP
• Experience with Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Experience with Data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS)
• Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.)

About Okta

Okta is the leading independent identity partner, securely connecting the right people to the right technologies at the right time. With over 20,000 customers and a billion registered users, we provide the foundation for secure enterprise management and seamless user experiences. As a trusted U.S. Federal vendor, we maintain FedRAMP High and IL4 compliance to support the government’s most critical missions.

The Core IDaaS SRE Team

Our team spans the globe and Okta’s platform to build, deliver, and maintain Okta’s legendary resiliency and reliability. We’re the SME’s for a vast number of synchronous and asynchronous workloads, data stores, and deployments, running the majority of our customer-facing Identity-as-a-Service platform. You’ll act as an advocate for reliability and a guide for global scale, ensuring our product is always available, always secure, and Always On.

The Role

We are seeking a Staff Site Reliability Engineer (TS/SCI) to join our high-stakes National Security team. Based in the Washington, D.C. area, with on-site customer travel, you will serve as a technical leader, delivering secure, air-gapped solutions for our federal partners.

Security Requirement: Must be able to obtain and maintain a U.S. security clearance (Secret or Top Secret) to the extent required by U.S. Government contracts. 

The selected candidate may be subject to drug testing to the extent required by U.S. Government contracts.

What You’ll Do

• Cloud & Air-Gapped Infrastructure: Design and deliver AWS-based projects, primarily writing Terraform, Helm, and Go, and adapting our existing deployments for secure federal air-gapped environments.
• Incident Management: Respond and remediate production incidents, performing deep-dive troubleshooting, driving rapid response, and implementing permanent preventive solutions.
• Engineering Standards: Drive high-quality code and operational rigor through design reviews, code reviews, attention to detail, and deep technical expertise.
• Technical Leadership: Mentor junior engineers and collaborate with cross-functional teams across the organization to deliver secure, enterprise-grade solutions.

What You’ll Bring

Core Qualifications

• Security Clearance: Active U.S. TS/SCI clearance.
• Compliance Expertise: Proven experience navigating Federal and DoD compliance frameworks, specifically FedRAMP and Impact Level 6 (IL6).
• Domain Authority: Deep expertise in architecting, deploying, and optimizing software within federal air-gapped environments.
• Education: Bachelor’s degree in Computer Science or a related technical field (Master’s degree preferred).

Technical Expertise

• Site Reliability Engineering: 6+ years of professional experience running production cloud workloads at scale. 4+ years of experience developing and troubleshooting web services on Kubernetes or similar orchestration layers.
• Broad Database Knowledge: Significant hands-on experience with both relational and non-relational datastores.
• Interactive and Batch Workloads: Demonstrated success delivering and maintaining both customer-facing interactive workloads and large-scale batch processing – ideally using data warehouse products such as Snowflake, Redshift, or Databricks.
• Security & Engineering: Strong foundational knowledge of network security (authentication/authorization) and a commitment to rigorous software engineering best practices.

Industry Experience: Prior experience supporting or building mission-critical Enterprise SaaS platforms.

#LI-TM 

#LI-Hybrid 

P24512

SLSQ227R297

As a Startup Account Executive at Databricks, you get to work with some of the most exciting, disruptive companies using data to change the world. You are creative and self-motivated with experience running both transactional and strategic sales processes. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in-depth and are passionate about communicating its value to customers and partners. Along with the chance to close exciting deals, we also offer accelerators above 100% quota accomplishment. You will report to a regional sales manager.

The impact you will have:

• Build a territory plan within 30 days with a clear account prioritization strategy.
• Align existing customers with the Lakehouse vision and ecosystem.
• Be able to range from faster transactions to large strategic deals.
• Maintain clear Salesforce and Clari hygiene, including use case, MEDDPICC, revenue forecasts, and account notes.
• Lead with a customer-first mindset and focus on business value

What we look for:

• 2+ years of closing sales experience
• Prior experience in big data, Cloud, or SaaS sales
• Be able to quickly learn new technologies and value propositions
• Experience exceeding sales KPIs and quotas

SLSQ327R228

As a Strategic Enterprise Account Executive at Databricks, you are a strategic sales professional experienced in selling into Large Healthcare Providers. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Customers and System Integrators. Always looking for new opportunities, you will be asked to maintain and grow two existing accounts. Along with the chance to close an exciting deal, we also offer accelerators above 100% quota attainment.

The impact you will have:

• Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partners
• Close both new accounts and existing accounts
• Identify and close quick, small wins while managing longer, complex sales cycles
• Exceed activity, pipeline, and revenue targets
• Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce
• Use a solution-based approach to selling and creating value for customers
• Promote Databricks' enterprise cloud data platform powered by Apache Spark™
• Ensure 100% satisfaction among all customers
• Prioritize opportunities and applying appropriate resources
• Build a plan for success internally at Databricks and externally with your accounts

What we look for:

• You have previously worked in an early stage company and you know how to navigate and be successful
• Field sales experience within big data, Cloud, or SaaS sales
• Experience managing large, complex Healthcare accounts is preferred. 
• Prior customer relationships with CIOs, program managers, and essential decision makers
• Simply articulate intricate cloud technologies
• 7+ years experience exceeding sales quotas
• Success closing new accounts while working existing accounts
• Understanding of Spark and big data preferable
• Passion for cloud technologies
• Bachelor's Degree

Our Senior Developer Advocates are technical leaders and mentors that anchor our team. They own projects from beginning to end, facilitating collaboration and enabling Datadog's community to solve real-world problems. With a focus on Data Observability, this role will enable our community of engineers around Datadog to be part of a movement of building better software. This is a unique opportunity to use both your engineering expertise and advocacy skills to shape the ever-evolving technological landscape.

What You’ll Do:

• Act as a subject matter expert for data observability on behalf of the Datadog advocacy and engineering teams
• Create content in one or more mediums to build Datadog's reputation as a leader in data engineering and observability e.g. building demos, public speaking, blogging, documentation, webinars, open source, research reports and more
• Partner with and coach internal product and customer engineering teams on effective public communication and presentations for the work they do
• Contribute to the product through feedback (bugs or product enhancements suggestions)
• Identify and pursue opportunities for events, programs, and other community-focused work that establishes trust with practitioners

Who You Are: 

You are a trusted technical expert who enjoys helping data practitioners understand, operate, and improve complex data systems in production. You bring deep, hands-on experience in one or more areas of modern data engineering, and you use that experience to provide clear context to both the community and internal teams.

You are not expected to be an expert in every area below. Instead, you bring depth in some and working familiarity across many, and you are comfortable connecting them into a coherent operational story.

• Data engineering & processing systems: You have built, operated, or supported production data pipelines using distributed processing systems such as Apache Spark or Databricks, and understand common failure modes, performance tradeoffs, and operational challenges in batch and hybrid pipelines.
• Data platforms & analytics systems: You have hands-on experience with analytics platforms such as Snowflake and BigQuery, including schema design, data modeling, SQL-based analysis, and reasoning about performance, cost, and access patterns in real-world environments.
• Streaming & event-driven data: You understand how data flows through streaming systems such as Kafka or similar platforms, including producer and consumer behavior, lag, delivery semantics, and how streaming issues propagate into downstream datasets and analytics.
• Data quality, lineage, and metadata concepts: You are familiar with how data teams reason about data quality, upstream and downstream impact, and change management, and have experience working with data lineage, metadata, or transformation tooling (for example dbt, OpenLineage, or related ecosystems), or have operated in environments where these concepts are core to reliability.
• Programming & querying: You are comfortable working in at least one programming language commonly used in data systems (for example Python, Scala, Java, or Go), along with strong SQL skills, and you can move fluidly between code, queries, and notebooks when exploring or demonstrating data systems.

You also have:

• 10+ years of experience as a software developer, data engineer, SRE, or other practitioner building and maintaining production systems
• 3+ years of experience in advocacy, developer relations, or equivalent experience reaching technical audiences through written content, conference talks, workshops, webinars, videos, or open-source contributions
• Publicly available writing samples, demos, repositories, or recordings of technical presentations
• Familiarity with modern cloud infrastructure and container-based systems
• A strong interest in self-directed learning and exploring new technologies, tools, and problem spaces

Bonus points:

• Experience supporting data pipelines for ML or AI systems
• Meaningful contributions to open source or shared technical tooling
  
  

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. 

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Remote

Job Req: SLSQ427R270

Locations: 

San Francisco/ Seattle

The Cloud & AI Partnerships team is responsible for establishing durable long-term alliances with the world's most important technology companies in the Data & AI ecosystem.We are looking for a Sr. Alliance Director, AI GTM to facilitate Go-To-Market (GTM) strategies with our strategic AI partnerships — including our alliances with Anthropic, OpenAI, and Google Gemini. This role demands a rare combination of skills: the GTM fluency of a strategic alliance & business development leader and the Generative AI domain expertise needed to build targeted programmatic GTM motions that create and convert pipeline across our global field organizations. This role requires established, existing relationships within the leadership/GTM functions of major AI labs and cloud providers, ensuring immediate credibility and accelerated collaboration.

You will set GTM strategy, manage co-sell investment programs, build relationships between Databricks GTM executives and their counterparts at the world's leading AI labs, and drive measurable business outcomes through co-sell and field enablement initiatives.

You will operate with a high degree of autonomy, report into the VP of Cloud & AI Partnerships, and collaborate cross-functionally with product & engineering, sales, and marketing. This is a fast-paced, high-visibility role for someone who thrives in complexity and wants to be at the center of the most consequential partnerships in enterprise AI.

The impact you will have:

• Serve as the primary point-of-contact for senior GTM stakeholders at Anthropic, OpenAI, and Google, cultivating trusted, multi-threaded relationships at each level of the org chart across sales and field engineering. 
• Build and manage a QBR and Executive Business Review cadence with each AI partner, anchored on shared GTM goals and co-sell programs.
• Develop and maintain partnership co-sell KPIs and the overarching partner GTM governance framework to provide visibility into the health of programmatic co-sell motions.
• Develop and execute an overarching co-sell strategy across AI Lab partners, including account segmentation and propensity analysis to identify high-impact joint opportunities.
• Plan and operationalize in-person and virtual co-sell programs — including co-sell days, joint pipeline reviews, and partner-led field events — to accelerate top-of-funnel growth and mid-funnel conversion.
• Deliver regular program performance readouts to global sales and partnership leadership, surfacing insights and recommending course corrections.
• Build and manage streamlined partner funding programs designed to accelerate customer adoption of AI solutions
• Collaborate with enablement and commercialization teams within Databricks to drive board awareness & utilization of funding and customer success programs. 
• Partner with product, engineering, and commercial teams to shape the long-term AI model integration roadmap and develop compelling 'better together' messaging for each AI Lab relationship.
• Collaborate with industry GTM teams, ISV and consulting partners, marketing, and corporate development to build joint sales plays, offers, and assets that grow top-of-funnel and increase conversion.
• Develop and maintain field enablement content to equip internal & external field teams with the knowledge and tools to execute on joint GTM priorities and articulate differentiated 'better together' value propositions.

What we look for:

• 10+ years of experience in business development, strategic partnerships, alliance management, or GTM strategy, with a meaningful portion of that time spent in the Cloud and AI ecosystem.
• Proven track record building GTM programs and growing high-visibility partnerships with major technology companies, ideally cloud hyper-scalers or frontier model providers.
• Deep understanding of Generative AI products, go-to-market models, and the competitive AI landscape, including familiarity with the positioning and capabilities of Anthropic, OpenAI, Google, and comparable frontier model providers.
• Experience in Generative AI product development, GTM, or alliance roles is strongly preferred
• Analytical rigor: able to build first-principles business cases, model consumption, and derive data-driven insights to support partnership investment and program prioritization decisions.
• Strong GTM fluency, including familiarity with enterprise co-sell motions, account segmentation methodologies, pipeline management, and field enablement strategies.
• Excellent communication and executive presence — capable of distilling complex multi-dimensional analyses into clear, compelling narratives for senior internal and external audiences.
• Strong cross-functional leadership, ownership mindset, and bias for action. Comfortable driving deal and program processes autonomously while mobilizing large, matrixed organizations.
• MBA or equivalent advanced degree preferred. Bachelor's degree in Computer Science, Engineering, or related field, or demonstrated technical aptitude, is a plus.

RDQ226R497

At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. 

You will be a Sr Product Manager for Unity Catalog (https://databricks.com/product/unity-catalog). Unity Catalog is the metadata and governance foundation for the Lakehouse, providing not only fine grained security and governance capabilities, but also performance and productivity capabilities such as lineage, search, discovery, auditing, and compliance, for our customers' data and AI assets. 

This role is requires coordinating all product activities from vision to implementation, including engaging large enterprise customers to understand their needs, developing long-term product strategy, defining product roadmaps, working with engineering to build those products, and coordinating with various internal stakeholders (both pre- and post-launch) to ensure product success.

The impact you will have:

• Design and launch new governance and security capabilities as part of Unity Catalog.
• Define and build new platform services that enable Databricks’ data & AI product teams (ML/AI, Data Science & Engineering, Data Warehousing, etc.) to easily add new workload-specific governance capabilities that enhance the value of Unity Catalog and the Lakehouse.
• Take new features you envision from ideation / exploration with customers to full launch and rollout, including a marketing plan, field enablement, and broad customer adoption across all our segments.
• Bring insights about the data governance persona, our customers, and the market at large to the engineering and leadership team by working closely with our customers and partners. 

What we look for:

• 5+ years of enterprise B2B Product Management experience
• Educational background in computer science or related engineering practice.
• Experience working with databases and/or data warehouses, security, and catalogs.
• Experience building user-facing products for Data Analysts, Scientists, and/or Engineers.
• Strong track record of delivering products with cross-functional teams common to the enterprise software industry (field engineering, sales, marketing, partnerships, etc.).
• Experience in working closely with enterprise customers and ISV partners in the data market.

The work:

If you’ve ever wanted to bring true product thinking and commercial data practices into government, this is the role. We’re hiring for a Sr. Data Analytics Product Manager to join our Civilian portfolio at Accenture Federal Services, where our teams are building modern digital products that directly improve everyday experiences for the public.
 
As a Sr. Data Analytics Product Manager, you will play a pivotal role in building and using a robust Databricks platform to improve a highly visible online product and user experience. As an analytics practitioner, you will analyze complex datasets, identify trends, uncover patterns, and provide meaningful interpretations that guide organizational goals. As a product manager, you will also prioritize design of the data platform and data products needed to deliver stakeholder outcomes.

What makes this opportunity stand out is the client: mission-driven, product-oriented, and moving with a speed and mindset you’d expect from a Silicon Valley product company.
 
Note: The role can be remote or in-person in D.C., but U.S. citizenship is required. Databricks experience is ++

Key Responsibilities:

• Define and manage data product roadmap, epics, and tasks needed to deliver client outcomes
• Transform raw data into actionable insights that drive strategic business decisions
• Analyze data to identify trends, patterns, and insights
• Leverage your expertise in data visualization in tools such as Databricks, Tableau, Power BI and MS Excel to create compelling visual representations of your findings
• Assist the client in dashboarding, ensuring that stakeholders can easily understand and act on the insights you provide
• Develop detailed reports that summarize your analyses, offering clear and concise recommendations to support decision-making processes

Here's what you need:

• 5+ years experience with database querying languages like SQL
• 3+ years with data visualization tools such as Databricks, Tableau, Power BI, or similar platform
• Strong understanding of data cleaning, manipulation, and transformation processes
• Ability to work with large datasets and experience presenting complex data to non-technical audiences
• Exposure to predictive analytics or machine learning frameworks to further enhance your ability to identify forward-looking trends and opportunities
• Proficient in working within and following an agile delivery environment and software development lifecycle, including user story documentation and testing
• Must be a US Citizen eligible for Public Trust Clearance

Preferred experience:

• A background in business intelligence, market research, or a related field
• Combination of technical expertise and strong communication skills
• A proactive approach to problem-solving and a keen eye for detail to ensure that your insights are accurate and impactful.

About us:

Let’s be real: AI isn’t magic. Legion was built to slice through hype and deliver secure, dependable agentic systems that work alongside the people tackling the world’s most critical challenges. Born from a DoW partnership and trusted by leaders across government and enterprise, Legion embeds intelligence inside complex systems—unlocking data, accelerating human workflows, and hardening mission-critical operations.

From the forward edge to Fortune 500 back offices, our agentic platform drops AI into the software people already use, optimizing, not replacing, workflows. With world-class collaborators like NVIDIA, HPE, Palantir, and Oracle, we’re building infrastructure that boosts human capability everywhere it runs.

We’re looking for bold thinkers and doers to join us in shaping an AI future that’s secure, grounded, and built to work.

The Role:

This position requires a US Department of Defense or Intelligence TS/SCI clearance.

We’re looking for a forward-deployed engineer to work directly with customers to design and build custom workflows on top of our agentic AI platform.

This is not a traditional product or platform engineering role. You will sit with end users, understand mission needs, and rapidly develop “app packs” and workflows that solve real operational problems. You’ll operate as both a builder and a translator—turning ambiguous requirements into working systems. You’ll have a finger on the pulse of our end users, transforming requests and requirements into truly transformative agentic AI solutions that revolutionize user workflows.

You will spend the majority of your time (80–100%) embedded with customers, working independently in classified or constrained environments. Success in this role requires autonomy, strong communication, and the ability to ship practical solutions quickly.

You’ll also act as a feedback loop into product and engineering—surfacing patterns, feature gaps, and opportunities to improve the core platform.

Due to Government contract requirements, we are only able to hire US citizens or Green Card holders.

Responsibilities:

• Embed with customer teams to understand mission workflows, pain points, and operational constraints
• Design and build custom applications and workflows (“app packs”) on top of the platform
• Rapidly prototype and iterate on agentic AI solutions in real-world environments
• Translate non-technical user needs into technical implementations
• Operate independently in forward-deployed environments with minimal oversight
• Gather and synthesize product feedback, feature requests, and usage insights
• Collaborate with product engineering and agentic solution teams to influence roadmap and capabilities
• Integrate with enterprise systems (data platforms, ticketing systems, collaboration tools, etc.)
• Build lightweight UI components and interfaces where needed to support workflows
• Support deployment, troubleshooting, and ongoing iteration of solutions in the field

Qualifications:

• 4+ years of experience in Forward Deployed Engineering, Solution Engineering, or similar customer-facing technical roles
• Experience building and shipping full-stack applications or prototypes in production or near-production environments
• Proficiency in Python, JavaScript/TypeScript, or similar scripting languages
• Experience integrating with enterprise systems (e.g., Microsoft O365, Palantir Foundry, Databricks, ServiceNow, Atlassian)
• Ability to build simple UI/UX using frameworks like Node.js, Next.js, or React
• Proven ability to operate autonomously and solve ambiguous problems
• Strong communication skills with both technical and non-technical stakeholders
• Experience working in classified or restricted environments is a plus

Due to Government contract requirements, we are only able to hire US citizens or Green Card holders.This position requires a US Department of War or Intelligence TS/SCI clearance.

Domain Experience:

• 4+ years supporting military, intelligence, or defense-related environments
• Familiarity with mission domains such as operations, logistics, intelligence, or C4/IT systems
• Experience working with government or federal customers preferred

Preferred Qualifications:

• Experience building or deploying AI/ML systems, especially agentic workflows
• Familiarity with tools such as n8n, Palantir Foundry, or other workflow/automation platforms
• Experience evaluating AI system performance and interpreting results
• Exposure to product telemetry, usage analytics, or feedback-driven iteration
• Experience working in early-stage or high-growth startup environments

Why Join Us:

This role sits at the edge of product and reality. You won’t be building features that may or may not get used—you’ll be building systems that are immediately deployed and tested in the field.

If you want to work close to the mission, own outcomes end-to-end, and have a direct hand in shaping both product and customer success, this is the role.

FEQ227R193

Global GTM Strategy and Scale Architect

The Impact You Will Have

Databricks is entering entirely new markets, e.g. cybersecurity with Lakewatch (an open, agentic SIEM), agentic AI infrastructure, and more categories on the horizon. Each new product means the field needs to learn a new domain, a new competitive landscape, and a new set of customer conversations fast. This is a founding enablement role for Databricks' next wave of products. You won't be inheriting a playbook, you'll be writing a new one, repeatedly, every time Databricks enters a new category. You will own the end-to-end enablement strategy that takes a product from "just announced" to a product every Solutions Architect in the field can confidently qualify, position, demo, and defend in competitive situations. You will be the connective tissue between Product teams building new categories and a global field of SAs, translating capabilities into customer outcomes, and representing the field-readiness voice in Product forums - where the narrative is unclear, where SAs stumble on positioning, where demos need to tighten before a brand-new category reaches the field.

What You'll Do

• Own the global GTM and enablement strategy for every new product category Databricks enters - from foundational knowledge through advanced competitive positioning against incumbents
• Build and ship enablement at scale using AI: use vibe coding, and AI content pipelines to generate first-draft technical deep dives, competitive talk tracks, hands-on labs, and demo environments - then curate for accuracy and field impact
• Design and build demo environments and POC patterns that SAs can fork and customize for customer conversations - you're an architect, not a slide maker
• Partner directly with Product and Engineering leadership across new product lines to stay ahead of the roadmap and translate upcoming features into field-ready assets before GA
• Establish a tight product feedback loop - systematically capture field friction, lost deals, and SA objections and channel them back to Product with actionable recommendations. You have the standing to tell PMs what's not working and the data to back it up
• Design the competitive narrative architecture and build the "why Databricks" story that gives an SA confidence walking into a room with a customer executive. 
• Create scalable, multi-format enablement: Deep dives, solutions, AI role-plays, hands-on labs, and self-paced learning paths - always with a bias toward assets SAs can use in a customer conversation that same week
• Build AI-powered tools that make the field smarter: Glean agents for instant answers, AI role-plays for pitch practice, automated competitive briefs from real-time market signals
• Define and track KPIs that measure field readiness, and whether SAs are actually winning more Lakebase deals
• Stay a practitioner yourself: spend ~10-15% of your time in customer-facing moments - customer executive briefings, select competitive POCs, because what you build is sharper when you've defended the position in front of a customer executive, not just written it down
• Take a step back, think strategically and innovate your approaches to keep up with the fast paced environment. 

What We Look For

• 8+ years in solutions architecture, technical pre-sales, developer relations, technical product marketing, or technical enablement
• You've been the SA in the room: you know what it feels like to run a POC, handle objections live, and defend a technical position against a competitor. That lived experience is what makes your enablement credible
• Demonstrated ability to go deep fast in unfamiliar technical domains - the "T-shaped" technologist who can become credible in a new technology one quarter and a new category the next
• Builder mentality: you default to building tools, demos, and automations - not decks. You use AI tools as a daily force multiplier, not a novelty
• Demonstrated ability to build enablement programs from scratch (0-to-1) - not just iterate on existing content. You see a blank page as an opportunity, not a problem
• Strong product instinct: you can look at a feature roadmap for a brand-new category and immediately see how it maps to customer use cases and competitive differentiation
• Experience working directly with Product and Engineering teams as a peer, not just a consumer of their content
• The backbone to tell Product "the field can't sell this because X" - backed by data and field evidence
• Scaling mindset: everything you build needs to work for a global technical field team, not a 20-person workshop. You think about leverage and automation before you think about live delivery
• Exceptional communication skills - you can make complex technical concepts accessible to a broad audience, from SAs to C-Suite

Nice to Have

• Experience at a high-growth infrastructure company during a major product launch
• Background in both pre-sales and post-sales technical roles - you've lived the full customer lifecycle
• Hands-on experience with Databricks or competitive platforms 
• Experience building AI applications on operational databases (RAG patterns, agent architectures, etc.)
• You've already used AI to build at scale - automating content creation, building internal tools, or shipping demos faster than anyone thought possible

RDQ427R179

Are you a mission-driven leader with a passion for how data and AI can play a meaningful role in addressing global challenges? Do you enjoy shaping narratives, building programs, and translating complex work into stories that inspire action?

As the Lead for Databricks for Good, you will own Databricks’ social impact initiative end to end. You will work closely with Databricks teams and with nonprofits, universities, and public-interest organizations to design and scale programs that apply data and AI to real-world challenges.

You will set the vision for Databricks for Good and ensure it delivers real, lasting impact, while clearly articulating how that impact is created and why it matters.

About Databricks for Good

At Databricks, we believe data and AI can be a force for positive change. Databricks for Good exists to ensure our platform empowers organizations working on humanity’s most pressing challenges, including responding to crises, advancing education, improving health outcomes, and accelerating climate action.

This role is an opportunity to define and lead that mission and shape how Databricks shows up in the world through meaningful, real-world impact.

What you’ll do

Your responsibilities will span program design and management, storytelling, and owning execution across Databricks and its partners. 

• Build and lead Databricks for Good from the ground up, defining its mission, success metrics, execution strategy, and long-term vision.
• Design and run high-impact programs such as social impact partnerships, hackathons, student and university initiatives, and nonprofit enablement programs.
• Serve as a public-facing representative for Databricks for Good by hosting events, delivering talks, moderating panels, and representing Databricks in global social impact forums.
• Own the partnership funnel for Databricks for Good technical engagements, with the goal of helping nonprofits apply Databricks to real-world challenges.
• Create compelling content - case studies, talks, blogs, and learning resources - that highlight how data and AI can be used for social good.
• Work cross-functionally with Field Engineering, Developer Relations, Marketing, Legal, and Sales to ensure social impact initiatives are scalable, technically sound, and aligned with company priorities.
• Act as a trusted internal advisor on social impact use cases, helping teams understand the needs, constraints, and operating realities of mission-driven organizations.
• Gather feedback from both internal and external collaborators to continuously improve programs and inform program direction.

The impact you will have

• Establish Databricks for Good as a credible, respected, and scalable social impact initiative throughout the tech industry.
• Enable nonprofits, universities, and public-sector organizations to unlock insights and outcomes that are uniquely possible with data and AI.
• Build durable partnerships that align Databricks’ strengths with real-world societal needs.
• Inspire employees, customers, and students to contribute their skills toward meaningful causes.
• Influence how Databricks technologies are used, taught, and evolved for public good.
• Help define what “data and AI for good” looks like at enterprise scale.

What we look for

• 7+ years of experience in social impact programs, developer relations, partnerships, technical program management, or a related field.
• Proven ability to build and scale programs from zero to one, with ownership over strategy, execution, and outcomes.
• Experience working with nonprofits, universities, NGOs, public-sector institutions, or mission-driven organizations.
• High-level technical understanding of Databricks’ product-market fit, enabling robust direction of partnerships and engagement selection.
• Exceptional communication and storytelling skills, with comfort presenting to both technical and non-technical audiences.
• Demonstrated ability to convene communities and stakeholders across sectors and geographies.
• High empathy, strong judgment, and the ability to navigate ambiguity while driving clarity and momentum.
• A collaborative mindset and a track record of working cross-functionally to turn ideas into execution.

As a Hunter Solutions Architect on the Digital Natives team, you will shape the future of the big data landscape by working with the most sophisticated data engineering and data science teams in the world.

Reporting to the Field Engineering Manager, you will collaborate with customers, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. You will guide customers through the competitive landscape, best practices, and implementation; and develop technical champions along the way.

The impact you will have:

• You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.
• Work directly with prospective, greenfield, customers on their 0 to 1 journey with Databricks 
• Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications
• Collaborate with your fellow Solutions Architects, using your skills to support each other and our users
• Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.

What we look for:

• 5+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role
• Experience building distributed data systems at scale 
• Comfortable programming in, and debugging, Python and SQL
• Experience using agentic coding harnesses and demonstrable experience scaling your work leveraging them 
• Have built solutions with public cloud providers such as AWS, Azure, or GCP
• Expertise in one of the following:
• Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, pytorch, Tensorflow)
• Available to travel to customers in your region
• [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
• Nice to have: Databricks Certification

NOTE: If your experience isn’t a perfect match for the job description, but you feel like you’re a good fit for the role, apply.  We want to work with smart, passionate, people who are good at their job, and, a lot of times, those people have non-linear career paths.

SLSQ427R14

As a Strategic Account Executive, your primary mission will be to identify, acquire, and grow new business opportunities across components of the DOW R&E and OUSD. This role is focused on securing new logos and driving revenue growth. You are a proactive "hunter" who thrives on building relationships, navigating complex sales cycles, and closing high-value deals. You will work closely with cross-functional teams to deliver tailored solutions that address client needs and establish long-term partnerships. You will report to the Director, Sales DOD.

The impact you will have:

• Secure new Enterprise accounts across multiple customers, creating a strong foundation for long-term partnerships.
• Develop and execute a focused strategy for identifying and winning high-potential accounts in untapped markets.
• Identify and close quick wins while managing longer, complex sales cycles.
• Plan, document, and drive the growth of Databricks usage in newly won accounts to maximize customer impact.
• Establish essential C-Level relationships, including Engineering, Platform, Architecture, and Data Science roles, who will, in turn, be your industry advocates.
• Use a solution-based approach to selling and creating value for customers.
• Develop a deep and detailed understanding of the customer's business.
• Provide leadership to the customer, important staff, and technical teams.
• Identify all important data use cases and buying centers in an opportunity, to increase the impact of Databricks in an organization.
• Orchestrate and use Databricks teams and ecosystem partners to maximize your impact on your sales motions.

What we look for:

• 7+ years of experience selling complex software deals to the region's recognizable organizations within the DOD/DOW space, preferably within R&E/ OUSD.
• Knowledge of segment priorities, buying processes, buying cycles, decision-making process, and the ecosystem.
• Background in selling usage-based PaaS/ SaaS solutions, or other Data/ AI/ML technologies.
• Experience in sales methodologies and processes, e.g. account planning, MEDDPICC, value selling, and Command of the Message.
• Experience in hunting in a greenfield space while also consulting with existing accounts to expand further use.
• Build customer champions and collaborative teams to support the implementation of the expansion plan.
• Understanding of how to develop a clear partner strategy and manage it successfully.

Why LeoLabs?

At LeoLabs, we’re building the living map of activity in space. Through our proprietary global radar network and AI-enabled analytics platform, we collect millions of measurements daily on more than 25,000 objects in low Earth orbit (LEO). Our radar-powered intelligence protects billions in assets, monitors adversarial behavior, and ensures safe operations for commercial and government missions.

We’re not just building technology, we are redefining global security, safety, and transparency in space. As orbital activity accelerates and threats grow more complex, LeoLabs is a trusted partner for Space Domain Awareness, Space Traffic Management, and Satellite Operations for top-tier space operators and allied defense organizations.

If you're looking to work on mission-critical challenges at the forefront of aerospace, national security, and AI, your impact starts here.

We are seeking an experienced and highly motivated Senior Manager of AI to join our team at LeoLabs. You will play a critical role in managing our new AI team. This is a team of approximately 5 engineers and a key part of the broader, 30-person software engineering organization. The AI team is responsible for customer-facing and internal AI and data engineering initiatives. This includes agentic AI development, orbital event detection and characterization, and LeoLabs’ data lake. The team leverages services built and maintained by other teams, including radar development and operations and catalog maintenance. You will be responsible for providing leadership to a cross-functional team of AI/ML Engineers, Data Engineers, and Software Engineers. You will ensure that our AI/ML algorithms meet strict performance requirements, that our data lake meets internal and external needs, and that our organization is a leader in agentic AI. 

Qualifications: 

• S., M.S in Computer Science, Software Engineering, Artificial Intelligence, or equivalent experience 
• Proven experience (7+ years) as a Software Engineering Manager or AI Manager in a fast-paced software development environment
• Hands-on, up-to-date experience with agentic AI technology.
• Extensive experience in building, rolling out, and maintaining cloud-based software services
• Experience deploying software services to US High Side networks
• Strong knowledge of software development and testing methodologies, best practices, and industry standards
• Experience working with large-scale distributed data platforms (e.g., Databricks, Spark) 
• Solid understanding of Agile and DevOps principles
• Excellent problem-solving skills and the ability to manage, lead, and mentor a team effectively
• Strong communication and interpersonal skills, with the ability to collaborate with various stakeholders
• Ability to work on-call outside of normal business hours during critical escalations
• Eligibility to obtain and maintain a U.S. personnel security clearance 

Preferred Qualifications : 

• Experience with cloud environments like AWS/GCP/Azure 
• Experience with databases like Postgres/MySQL 
• Experience with security requirements, including static and dynamic code analysis and penetration testing. 
• Background in Math/Physics or Orbital mechanics. 

Within 1 month, you’ll:  

• Complete our onboarding program designed to get you up to speed on our business, vision, and team 
• Gain an understanding about how your role fits into LeoLabs broader organization 
• Take over leadership of our new AI team  

Within 3 months, you’ll:  

• Own the AI teams’ OKRs and roadmap 
• Be leading, mentoring, and guiding the AI team to achieve these objectives 
• Be actively involved with the company’s AI and software roadmap planning 

Within 6 months, you’ll:  

• Have achieved significant progress in achieving the team’s key roadmap goals 
• Play a key role in driving excellence in our company’s AI/ML algorithm performance 
• Be regularly collaborating with stakeholders to define our AI and Data Engineering  
• Be successfully leading one of the most critical teams in the organization  

Within 12 months, you’ll:  

• Lead your team to continuously deliver on the company’s AI needs 
• Provide regular reports on AI team performance and results to the Senior and Executive Leadership Teams 
• Promote a healthy culture of algorithm and software excellence throughout the organization 

Perks and Benefits

• Global workforce: flexible remote/hybrid opportunities
• Work on complex, meaningful missions with real-world impact
• Unlimited paid time off for most roles
• Competitive salary and equity packages
• Comprehensive health, dental, and vision coverage
• Access to the forefront of commercial space operations and defense innovation

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identify, national origin, disability, or status as a protected veteran. 

Role Overview:

You’ll lead (or contribute to) enterprise AI & data strategy for confidential federal programs shaping architecture, governance, and responsible AI so modern AI capabilities can be operated safely, audited confidently, and adopted at scale. This is a strategy + build + operate role: you’ll partner with CXOs, CDO/CIO/CISO offices, legal/compliance, security, and product teams to define standards, implement controls, and accelerate mission outcomes. Not a model‑training role. Your focus is production strategy, governance, and architecture making the best models and platforms usable, safe, and effective in real operations.

What You’ll Do:

• Translate mission goals into portfolio roadmaps, target architectures, and adoption plans; pick the right patterns (LLM, RAG, agents, analytics) for each use case.
• Define reference architectures (cloud/hybrid/on‑prem), data access patterns, metadata/lineage, and integration points that respect Zero Trust and privacy constraints.
• Operationalize policy‑as‑code, approval workflows, audit trails, red‑team & safety checks, and model/data lifecycle controls aligned to federal standards.
• Stand up evaluation harnesses (quality, safety, latency, cost), model selection criteria, and guardrails (prompt management, filtering, attribution/citations).
• Author playbooks, templates, SDKs, and governance blueprints that scale across multiple mission teams driving consistency and speed.
• Partner with product, security/compliance, data, and engineering to deliver outcomes; facilitate decision forums and executive storytelling with measurable KPIs.
• Ensure programs meet SLOs (reliability, latency, safety, cost), pass audits, and ship in weeks not quarters with progressive delivery in regulated environments.
• Contribute to proposals, briefings, and internal capability building; mentor teams on responsible AI and governed data practices

Requirements:

• Experience developing AI or data strategy or platform governance within government or multi stakeholder environments.
• Strong understanding of federal policies related to data, AI, privacy, cybersecurity, and digital modernization.
• Expertise in enterprise architecture concepts and AI governance frameworks.
• Ability to communicate complex technical concepts to non-technical audiences.
• Proven track record turning strategy into operational systems with measurable outcomes.
• Experience assessing AI readiness, risks, and ethical considerations.
• Must be a US Citizen

Nice to Have

• Experience in regulated/secure environments (audit‑ready controls, ATO like processes, Zero Trust concepts).
• Exposure to LLM evaluation frameworks, RAG/agent patterns, prompt lifecycle management, and policy‑based filtering.
• Familiarity with leading platforms/services like Azure/AWS/GCP, Databricks/Snowflake/Palantir, vector search, catalog/lineage tooling.
• Contributions to playbooks/standards or open‑source; executive‑level storytelling and proposal leadership.

P-1495

About Databricks

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

About the Role

Databricks is seeking a Senior Staff Product Operations Manager to serve as the chief architect of our internal operational ecosystem. This is a high-leverage leadership role embedded within Engineering, designed to orchestrate the complex intersection of technical innovation, product lifecycle maturity, and global Go-to-Market (GTM) acceleration.

In this capacity, you will move beyond the management of existing processes to lead the creation of a formal Operational Association. You will be responsible for designing the high-fidelity frameworks that allow our engineering organization to remain agile while ensuring that every product investment is data-driven, transparent, and rigorously aligned with our long-term commercial strategy. This role is purpose-built for a strategic thinker who excels at navigating the "gray space" between a deep technical roadmap and the sophisticated financial requirements of a global enterprise platform.

Impact

• Operational Orchestration: Define and govern the strategic engagement model between Engineering, Product, and GTM, ensuring that product lifecycle milestones are seamlessly integrated with field readiness and revenue velocity.

• Investment Intelligence: Act as a critical advisor to executive leadership, applying a consultant’s rigor to evaluate business investments. You will analyze resource allocation, unit economics, and the opportunity costs inherent in scaling a world-class Data and AI platform.

• Synthesis of Ambiguity: Transform disparate, multi-dimensional data signals from across the organization into coherent business insights. You will be the definitive voice in translating "engineering velocity" into "market impact," providing the clarity necessary for high-stakes decision-making.

• Systems Transformation: Lead the evolution of our product development lifecycle (PDLC). You will identify structural bottlenecks and design scalable solutions that enhance organizational throughput without sacrificing technical excellence.

• Strategic Connective Tissue: Serve as the authoritative bridge between the "How" of technical execution and the "Why" of business value, ensuring a unified language of success across our most senior stakeholders.

Key Responsibilities:

• Act as the connective tissue between Support, Product, Engineering, and Analytics to drive operational alignment, product readiness, and continuous improvement across support workflows.
• Lead and execute strategic initiatives to scale global Support operations, including coverage models, KPI frameworks, and support process enhancements.
• Translate operational pain points into product and tooling requirements—partnering with internal tools, engineering, and analytics teams to drive automation, triage efficiency, and AI assistant improvements.
• Build and maintain dashboards that measure support effectiveness, surface product-driven case trends, and track customer experience across support channels.
• Support quarterly and annual planning cycles, including headcount, capacity modeling, and budget alignment in partnership with Finance and Workforce Management.
• Influence senior stakeholders by turning support and operational insights into clear, data-driven narratives that inform product and business decisions.

What We Look For: 

• Professional Experience: Minimum of 9 years of professional experience in Management Consulting, Product Strategy, Technical Program Management, or Operations within the technology sector.

• Bachelor’s degree in a technical, mathematical, or analytical field (e.g., Computer Science, Engineering, Economics). An MBA is highly preferred.

• Demonstrated experience in designing and scaling operational frameworks or internal software systems within a high-growth SaaS or enterprise technology environment.

• Expert-level ability to navigate large, complex datasets using SQL-based tools and Business Intelligence (BI) platforms to drive strategic decision-making.

• Proven track record of leading high-stakes, multi-quarter initiatives involving diverse cross-functional teams such as Engineering, Product, and Sales.

• Exceptional ability to synthesize complex technical concepts into clear, actionable business strategies for non-technical executive audiences.

Nice to Have: 

• Familiarity with Databricks tools, especially for extract/transform/load functions
• Experience working on Support Operations for SaaS based companies.
• Familiarity with tools like Salesforce, Zendesk, Jira, Looker/Tableau, and operational workflows

Role Overview:

As a Field Engineer, you are the technical engine of a customer-facing pod, partnering closely with an Account Executive and BDR to drive successful evaluations, onboarding, and expansion for Materialize customers. You own the technical relationship from discovery through production and beyond. This is a hybrid pre-sales and post-sales role. You’ll spend the majority of your time working directly with customers running discovery, demos, and POVs, and guiding customers into production, while also contributing to repeatable assets that help scale the Field Engineering function. This role is ideal for someone who enjoys working directly with customers, thrives in technical ambiguity, and wants to help define how a category-defining infrastructure product is evaluated and adopted.

Our Field Engineers are based in our NYC office near Astor Place, with an expectation of at least 3 days per week in person.

Responsibilities:

• Lead technical discovery conversations and assess use case fit using Materialize’s qualification frameworks
• Design and deliver tailored demos and time-boxed POVs with clear success criteria
• Explain Materialize’s architecture and positioning relative to alternatives such as Flink, Snowflake, Databricks, ClickHouse, and custom-built systems
• Partner with Account Executives on deal strategy, technical qualification, and MEDPICC execution
• Maintain strong Salesforce hygiene, including technical risk flags and deal health updates
• Guide customers from closed-won to first production workloads
• Provide architectural guidance and support customers through early adoption
• Monitor usage patterns and surface expansion opportunities in partnership with Sales
• Participate in status reviews and QBRs for assigned accounts
• Build and improve repeatable assets such as demo environments, POV templates, and discovery playbooks
• Document best practices and contribute to internal enablement

What We’re Looking For : 

• 4+ years of experience in a customer-facing technical role such as Field Engineering, Solutions Engineering, Technical Consulting, or Solutions Architecture
• Strong understanding of modern data architectures, including relational databases, event streaming, and microservices
• Proficiency with SQL and the ability to reason about query behavior and performance
• Familiarity with cloud infrastructure (AWS, GCP, or Azure) and containerized environments
• Strong communication skills and comfort presenting to both technical and non-technical audiences
• A structured, process-oriented mindset paired with the flexibility needed in a fast-growing startup
• Experience with real-time or streaming systems (Kafka, Flink, Spark) is a plus
• Background in data infrastructure, developer tools, or technical consulting is a plus
• Scripting experience in Python, Go, or similar languages is a plus

Location: NYC (hybrid, minimum 3 days/week in HQ)
Base Salary: $145,00 - 160,000/year plus additional variable bonus and equity in addition to a full range of medical, financial, and/or other benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience.

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. #LI-REMOTE

As a Solutions Architect on the Digital Natives team, you will shape the future of the big data landscape by working with the most sophisticated data engineering and data science teams in the world.

Reporting to the Field Engineering Manager, you will collaborate with customer stakeholders, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. You will guide one of our largest AI native customers through the competitive landscape, best practices, and implementation; and develop technical champions along the way.

The impact you will have:

• You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.
• Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications
• Collaborate with your fellow Solutions Architects, using your skills to support each other and our users
• Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.

What we look for:

• 7+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role
• Experience building distributed data systems
• Comfortable programming in, and debugging, Python and SQL
• Have built solutions with public cloud providers such as AWS, Azure, or GCP
• Expertise in one of the following:
  • Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
  • Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, pytorch, Tensorflow)
• Available to travel to customers in your region
• [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
• Nice to have: Databricks Certification

NOTE: If your experience isn’t a perfect match for the job description, but you feel like you’re a good fit for the role, apply.  We want to work with smart, passionate, people who are good at their job, and, a lot of times, those people have non-linear career paths.

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform into one of our largest AI native customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your account and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization. 

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritized customers
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
• Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise
• Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:
• Main use cases moving from ‘win’ to production
• Enablement / user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
• Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
• Executive and operational governance
• Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM

What we look for:

• 7+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers
• Programming experience in Python, SQL or Scala 
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
• Understanding of solution architecture related distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management including account, stakeholder and resource management accountability
• Experience resolving complex and important escalation with senior customer executives
• Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
• Track record of overachievement against quota, Goals or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Can travel up to 30% when needed

Build AI that matters at national scale. At Accenture Federal Services we turn AI from roadmaps into operational products millions rely on across defense, national security, public safety, civilian services, and military health. We ship with reliability, privacy, and safety as first‑class requirements. AFS is a technology company within global Accenture and a Glassdoor Top 100 Best Place to Work. You’ll join a collaborative, caring community where you’ll grow through hands‑on delivery, certifications, and industry training while solving some of the most consequential AI product challenges of our time.

Role Overview

Define and deliver AI‑enabled products that connect mission needs to measurable outcomes. You’ll set vision, strategy, and roadmaps, translate stakeholder requirements into clear, testable work, and lead cross‑functional teams data, AI, engineering, policy, security to ship in weeks, not quarters. You’ll embed Responsible AI and governance by design so products are trusted, auditable, and adoptable at scale.

Product strategy, governance, and delivery not foundation model training. Your craft is turning the best models and platforms into safe, reliable, user‑loved experiences.

What You’ll Do

• Translate mission goals into product KPIs (adoption, latency, reliability, safety, cost) build outcome‑based roadmaps and investment cases.
• Convert ambiguous needs into prioritized user stories and release plans; run MVPs, A/B tests, and progressive delivery in regulated environments.
• Operationalize policy‑as‑code, prompt version lifecycle, guardrails (filtering, citations), human‑in‑the‑loop flows, and audit trails aligned to federal standards.
• Collaborate with architects to choose the right patterns (LLM, RAG, agents, analytics), data access models, and Zero Trust integrations across cloud/hybrid/on‑prem.
• Stand up evaluation harnesses (helpfulness, safety, factuality), define SLIs/SLOs (quality, latency, cost), and drive incident/postmortem rigor to reduce MTTR.
• Align business owners, CDO/CIO/CISO/legal/compliance; run decision forums; tell the story with clear value/risk frameworks.
• Author playbooks, templates, and product operating models that scale across multiple mission teams; mentor PMs and cross‑functional leads.
• Ensure products meet SLOs, pass audits, and work in real‑world constraints (hybrid, restricted, or air‑gapped environments).

Requirements

• Delivered AI and data powered products at enterprise scale, generating measurable business results and mission impact.
• Backlog management, roadmap ownership, KPI definition, experimentation (MVPs/A/B), and iterative releases that improve time‑to‑value.
• Practical experience embedding guardrails, privacy/security controls, and auditability into product delivery.
• Comfortable partnering with engineering, data/AI, security/compliance, policy/operations
• Able to reason about LLM orchestration, RAG/agents, data/platform architecture, and evaluation hands‑on enough to review designs and validate solutions.
• Proven ability to turn strategy into production systems with measurable adoption and reliability.
• U.S. Citizen (no dual citizenship)

Nice to Have

• Experience in regulated/secure environments audit‑ready controls, ATO‑like processes, STIGs and  Zero Trust.
• Familiarity with platforms/services such as Azure, AWS, GCP, Databricks, Snowflake, Palantir, vector search, catalog/lineage tooling.
• Exposure to LLM evaluation frameworks, prompt lifecycle management, policy‑based filtering, and agent workflows.
• Contributions to product playbooks/standards or open‑source; executive‑level storytelling and proposal support.

We are entering a new chapter in technology - one shaped by a generalization of AI. Accenture is a trusted industry leader at the forefront of AI innovation, providing clients with scalable AI and generative AI solutions for reinvention - to solve new problems, create new inventions, change how we work and live, and transform industries and governments.   

Seeking a Generative AI Engineer with the technical acumen and problem-solving ability to identify and develop new opportunities for the use of AI agents to solve real-world mission-critical problems for our clients. You will have expertise in the key components to power GenAI adoption - including rapid prototyping of custom applications, search capabilities such as R.A.G, Prompt Engineering Expertise, Large Language Model Expertise (Selection, fine tuning, and deployment) and GenAI Use Case evaluation. You will collaborate with a community of GenAI leaders, software and systems engineers, data scientists, solutions architects, and product owners to deliver innovative world-class solutions that will transform our clients ecosystem and reinvent the way they operate. 

The Work: 

• Design and build GenAI use cases based on client's needs and specific data    

• Understanding of Agentic AI frameworks and design and when they are appropriate for use 

• Develop and deploy generative AI models using platforms such as Amazon Kendra, Google Vertex AI, and AWS Bedrock. 

• Implement large language models (LLMs) and transformer models to create advanced AI applications. 

• Integrate solutions with cloud-based AI services such as Google Cloud Document AI, Google Cloud Gemini, Google Cloud Gemma, and Google Cloud Generative AI Language Models. 

• Utilize NVIDIA AI Foundations and OpenAI ChatGPT to develop and refine AI applications. 

• Leverage Databricks LLM and Databricks Mosaic AI for data analysis and AI model development. 

• Show your curiosity, motivation, and passion for experimentation and continuous learning to drive AI innovation that is applicable across enterprise client domains. 

Here's what you need: 

• Experience working with modern generative AI capabilities including large language models, transformer models, and retrieval-augmented generation 

• Expertise in AI platforms (e.g., Amazon Kendra, Google Vertex AI, AWS Bedrock, and Azure AI, etc.) 

• Experience with Google Cloud services (e.g., Document AI, Gemini, Gemma, Generative AI Language Models) 

• Experience building RAG systems with vector databases (e.g., Pinecone, Weaviate, ChromaDB, FAISS) 

• Experience using modern software languages (e.g., Python, SQL, Go) to develop generative AI solutions  

Bonus points if you have: 

• Strong understanding of AI ethics, responsible AI, and generative AI data ethics. 

• Experience in LLM fine-tuning and LLMOps. 

• Ability to author and validate prompts for AI models. 

• Familiarity with NVIDIA AI Foundations and OpenAI ChatGPT. 

• Experience with AI-assisted development platforms (e.g., Cursor, Windsurf, Claude, etc.). 

• Experience implementing tool-using AI agents to assist in API integration - enabling agent access to external data sources and web services. 

• Experience using deployment/virtualization tools in containerized environments (e.g., VMware, Docker, Kubernetes) 

• Proficiency in scripting with Linux Bash, PowerShell, or equivalent automation tools 

Security Clearance:

• Active Top Secret or TS/SCI or TS/SCI with polygraph clearance

The Work: 

• Analyze & Innovate: Uncover trends and anomalies, turning raw data into strategic intelligence. 

• Model & Predict: Develop and maintain models using machine learning, AI, and statistical techniques. 

• Code & Transform: Use Python (pandas, PySpark) and SQL for data parsing, ETL, and complex analysis. 

• Visualize & Communicate: Create interactive dashboards and visualizations with Power BI, Tableau, or Databricks. 

• Collaborate & Build: Partner with Data Engineers to define data requirements and support development. 

• Explore & Experiment: Research and test new tools to solve challenging problems. 

 Here’s what you need: 

• • Experience building NLP, LLM, or using GenAI tools (e.g. LoRA, LangChain, RAG, LLM Fine Tuning or PEFT) 
  • Proficiency in Python (pandas, PySpark) and SQL 
  • Hands-on experience with data visualization tools like Power BI, Tableau, or Databricks 
  • Strong quantitative and analytic abilities to analyze and validate data 
  • Understanding of analytical model development and data-driven decision-making
  • Must be a US Citizen 

 Bonus points if you have: 

• Experience designing and implementing a custom Generative AI solution
• Experience working in a cloud environment (Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP))
• Experience working with federal clients 
• Experience in a specific domain like Cybersecurity or Fraud Detection 

 Security Clearance:  

• Active Secret or Top Secret or TS/SCI or TS/SCI with polygraph clearance

The work: 

• Pipeline Architect: Design, build, and maintain scalable end-to-end data pipelines using Databricks, Spark, and related technologies. 
• Transformation Titan: Develop efficient data processing and transformation workflows to support analytics and reporting needs. 
• Integration Hero: Integrate diverse data sources including APIs, databases, and cloud storage into unified datasets. 
• Collaboration Champion: Work closely with cross-functional teams (data science, analytics, business units) to design and implement data solutions that align with business goals. 
• Quality Guardian: Implement robust validation, monitoring, and observability processes to ensure data accuracy, completeness, and reliability. 
• Automation Avenger: Contribute to data governance, security, and automation initiatives within the data ecosystem. 
• Cloud Commander: Leverage AWS services (e.g., S3, Glue, Lambda, Redshift) to build and deploy data solutions in a cloud-native environment. 

Here’s what you need: 

• Experience with cloud-based ETL services (e.g. AWS Glue, Google Cloud Dataflow, Azure Data Factory) 

• Experience with Cloud data warehousing technologies (e.g. Amazon Redshift, Google BigQuery, Snowflake) 

• Experience with Python, SQL, Spark, and PySpark 

• Experience with data platforms like Databricks, Palantir, and Snowflake 

• Familiarity with data orchestration and data quality processes 

Bonus points if you have:

• Experience working with federal clients 

• Experience with Docker/Kubernetes Hadoop/Spark, NiFi, ELK stack 

• Experience with Agile / Scrum 

• Experience with COTS and open-source data engineering tools such as ElasticSearch and NiFi 

• Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer Associate, Google Professional Data Engineer, IBM Certified Data Engineer, or similar 

 Security Clearance:  

• Active Top Secret or TS/SCI or TS/SCI with polygraph clearance

 #LI-DataAI

The work:

If you’ve ever wanted to bring true product thinking and commercial data engineering practices into government, this is the role. We’re hiring for a Sr. Data Engineer to join our Civilian portfolio at Accenture Federal Services, where our teams are building modern digital products that directly improve everyday experiences for the public.
 
As a Sr. Data Engineer, you will play a pivotal role in building a robust data platform (in Databricks) to be used by skilled data professionals analyzing and improving a highly visible online product. What makes this opportunity stand out is the client: mission-driven, product-oriented, and moving with a speed and mindset you’d expect from a Silicon Valley product company.
 
Note: The role can be remote or in-person in D.C., but U.S. citizenship is required. Databricks experience is ++

Key Responsibilities:

• Architecting and building scalable data platforms in AWS and Databricks
• Designing and implementing robust data pipelines, optimizing data infrastructure, and enhancing data feeds to improve quality, availability, and scalability
• Collaborating in a small, interactive scrum team of highly skilled data professionals to deliver in agile environment

Here's what you need: 

• 5+ years designing and implementing robust data pipelines, optimizing data infrastructure, and enhancing data feeds
• Experience with ETL and API data interfaces
• Experience with Open-source technologies and data streaming in Apache Kafka
• Prior design and implementation of Medallian Data Architecture
• Strong communication skills and ability to work in fast-paced, collaborative team
• Must be a US Citizen, eligible for Public Trust clearance

Preferred experience:

• Extensive engineering experience in Databricks Platforms

Build AI that matters at national scale. At Accenture Federal Services, we turn AI from whitepapers into operational capabilities millions rely on across defense, national security, public safety, civilian services, and military health. We ship with reliability, privacy, and safety as first‑class requirements. AFS is a technology company within global Accenture and a Glassdoor Top 100 Best Place to Work. Join a collaborative, caring community where you’ll grow through hands on delivery, certifications, and industry training while solving some of the most consequential AI problems of our time.

Role Overview

You’ll lead (or contribute to) enterprise AI & data strategy for confidential federal programs shaping architecture, governance, and responsible AI so modern AI capabilities can be operated safely, audited confidently, and adopted at scale. This is a strategy + build + operate role: you’ll partner with CXOs, CDO/CIO/CISO offices, legal/compliance, security, and product teams to define standards, implement controls, and accelerate mission outcomes. Not a model‑training role. Your focus is production strategy, governance, and architecture making the best models and platforms usable, safe, and effective in real operations.

What You’ll Do

• Translate mission goals into portfolio roadmaps, target architectures, and adoption plans; pick the right patterns (LLM, RAG, agents, analytics) for each use case.
• Define reference architectures (cloud/hybrid/on‑prem), data access patterns, metadata/lineage, and integration points that respect Zero Trust and privacy constraints.
• Operationalize policy‑as‑code, approval workflows, audit trails, red‑team & safety checks, and model/data lifecycle controls aligned to federal standards.
• Stand up evaluation harnesses (quality, safety, latency, cost), model selection criteria, and guardrails (prompt management, filtering, attribution/citations).
• Author playbooks, templates, SDKs, and governance blueprints that scale across multiple mission teams driving consistency and speed.
• Partner with product, security/compliance, data, and engineering to deliver outcomes; facilitate decision forums and executive storytelling with measurable KPIs.
• Ensure programs meet SLOs (reliability, latency, safety, cost), pass audits, and ship in weeks not quarters with progressive delivery in regulated environments.
• Contribute to proposals, briefings, and internal capability building; mentor teams on responsible AI and governed data practices.

Requirements

• Experience developing AI or data strategy or platform governance within government or multi stakeholder environments.
• Strong understanding of federal policies related to data, AI, privacy, cybersecurity, and digital modernization.
• Expertise in enterprise architecture concepts and AI governance frameworks.
• Ability to communicate complex technical concepts to non-technical audiences.
• Proven track record turning strategy into operational systems with measurable outcomes.
• Experience assessing AI readiness, risks, and ethical considerations.
• Must be a US Citizen

Nice to Have

• Experience in regulated/secure environments (audit‑ready controls, ATO like processes, Zero Trust concepts).
• Exposure to LLM evaluation frameworks, RAG/agent patterns, prompt lifecycle management, and policy‑based filtering.
• Familiarity with leading platforms/services like Azure/AWS/GCP, Databricks/Snowflake/Palantir, vector search, catalog/lineage tooling.
• Contributions to playbooks/standards or open‑source; executive‑level storytelling and proposal leadership.

The work:  

As a Consumer Product Data Scientist, you will be using the Databricks platform to analyze complex datasets, identify trends, uncover patterns, and provide meaningful interpretations for a highly visible online product. The ideal candidate will possess a robust background in data analytics, hands-on experience with Databricks, and a proven track record in consumer research and retail analytics, with a strong preference for incorporating AI solutions. You will leverage skills in big data collection, cleaning, and exploratory analysis to discover patterns, anomalies, and relationships using statistical methods and visualization techniques. Requires strong experience applying statistical tests and models to validate hypotheses and identify significant trends in customer retention and churn. 

Here's what you need:

• 10+ years of experience in data analytics to drive impactful insights and solutions.
• Must have hands-on experience within Databricks environment.
• Must have hands-on experience developing and maintaining analytics and dashboards to support client decision-making.
• Must have experience with consumer research and retail analytics.
• Demonstrates successful outcomes with quantifiable metrics. 
• Incorporate success in integrating AI-driven solutions into analytics projects (strongly desired).

Eligibility Requirements: 

US Citizenship required.

Location: Washington, DC

#LI-DataAI

The work: 

Key Responsibilities:

SLSQ427R147

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.

As an Enterprise Core Account Executive, Federal Civilian at Databricks, you will be responsible for driving sales of Databricks within a dedicated set of consuming accounts in the Public Sector segment. As an experienced Account Executive, you know how to sell innovation and change through customer vision expansion and can drive deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Public Sector clients. Always looking for new opportunities, you will be expected to net new accounts and expand current footprints. Along with the chance to close an exciting deal, we also offer accelerators above 100% quota attainment.

The impact you will have:

• Manage complex sales-cycles and present to C-level executives.
• Close net new logos and expand existing accounts.
• Identify and close quick, small wins while managing longer, complex sales cycles.
• Exceed activity, pipeline, and revenue targets.
• Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce.
• Use a solution-based approach to selling and creating value for customers.
• Promote Databricks; enterprise cloud data platform powered by Apache Spark.
• Ensure 100% satisfaction among all customers.
• Prioritize opportunities and applying appropriate resources.
• Build a plan for success internally at Databricks and externally with your accounts.

What we look for:

• You have previously worked in an early-stage company, and you know how to navigate and be successful.
• 5+ years of field sales experience, Federal Civilian experience is preferred.
• Background in big data, Cloud, or SaaS sales is preferable.
• Track record of success delivering business value to customers.
• Experience with cloud technologies.
• Bachelor's degree is preferred. 

Your Impact

Law enforcement agencies need training systems informed by real data about how officers perform in the field. We've spent the last few years collecting that data and validating the data products that create actionable insights that trainers can use to make encounters more effective, less injurious, and safer for everyone involved. We've shipped the simple models, but now we need to get our customer-validated models into production. Your job is not just to ship them, but to ensure that we have a strategic pipeline to continue delivering data products for our customers for years to come. What works in research needs to be production-grade, reliable, and reusable.

We're a small, technically deep team embedded in Axon's TASER pillar. Our work spans hardware telemetry and behavioral science — we analyze TASER device data, build models that drive training recommendations for law enforcement agencies, and ship the analytical tools that get those insights to the people who can act on them. Our analyses reach the C-suite. Our models become user-facing features. We're working toward Axon's Moonshot: reduce fatal officer-involved shootings by 50% in the next decade.

The head of product was a Staff Engineer. Our TPM ran a 60-person engineering organization. Both product managers have quantitative degrees — applied mathematics and engineering. Our program manager for TREND is a former state police lieutenant with over 30 years of experience in law enforcement. Our designer is part of the team, not separated from it. We built this team to cover the full space — engineering, data, product, and domain — and this hire is the next deliberate addition.

This is the opposite of a silo — and it comes with a tradeoff: you won't always have another SWE in the room, so you'll need to be technically self-sufficient. What you get in return is a team with more depth of experience per person than most engineering environments you've worked in.

What You’ll Do

Location: This role is based out of one of our US-based offices Seattle and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation.
Reports to: Director, TASER Data Science

• Build and ship data products: dashboards, metrics systems, and recommendation tools that drive real decisions
• Own production ML deployment — bring models from research to reliable production systems with monitoring, versioning, and operational rigor
• Build and own data pipelines from TASER device telemetry through to analytics surfaces used by agencies and internal stakeholders
• Set technical direction for the team's engineering practices — the data scientists here write code and want to do it better; you'll be the senior engineering voice they've been missing
• Work across the full stack — device-side data ingestion through user-facing analytics — and move between projects to build breadth
• Use AI tools as a core part of your development workflow, not a novelty

What You Bring

Must-haves:

• You write production code at a high standard — strongly typed, comprehensively tested, designed for the people who will maintain it after you. We write Python like software engineers, not data scientists.
• You've deployed and operated ML systems in production: model serving, monitoring, failure handling, and the operational rigor that keeps them running
• You identify the most important technical work and go after it — you've shaped technical roadmaps, influenced peers and organizational direction, and moved goals forward with or without explicit direction
• You define the problem as much as you solve it — you thrive in a team where requirements evolve as you learn, and you see that as a feature, not a bug
• You've worked with real-world messy data: device logs, behavioral data, event streams, or similar

Strong preferences:

• Advanced degree in a quantitative or analytical field — PhDs are very welcome, we already have three
• Intellectual background outside computer science is genuinely valued here: statistics, physics, engineering, biology, economics, linguistics, philosophy — it doesn't have to be a "hard science." We hire for intellectual diversity because it makes the work better.
• Hands-on experience with ML production tooling: model registry, serving infrastructure, pipeline orchestration, and model monitoring
• Experience with cloud data platforms in an ML context (Azure ML, Databricks, Snowflake) and batch or streaming pipeline architecture
• Experience with hardware-adjacent data: device telemetry, IoT event logs, or similar

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• Employee Resource Groups (ERGs)
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work.

Your Impact

Law enforcement agencies need training systems informed by real data about how officers perform in the field. We've spent the last few years collecting that data and validating the data products that create actionable insights that trainers can use to make encounters more effective, less injurious, and safer for everyone involved. We've shipped the simple models, but now we need to get our customer-validated models into production. Your job is not just to ship them, but to ensure that we have a strategic pipeline to continue delivering data products for our customers for years to come. What works in research needs to be production-grade, reliable, and reusable.

We're a small, technically deep team embedded in Axon's TASER pillar. Our work spans hardware telemetry and behavioral science — we analyze TASER device data, build models that drive training recommendations for law enforcement agencies, and ship the analytical tools that get those insights to the people who can act on them. Our analyses reach the C-suite. Our models become user-facing features. We're working toward Axon's Moonshot: reduce fatal officer-involved shootings by 50% in the next decade.

The head of product was a Staff Engineer. Our TPM ran a 60-person engineering organization. Both product managers have quantitative degrees — applied mathematics and engineering. Our program manager for TREND is a former state police lieutenant with over 30 years of experience in law enforcement. Our designer is part of the team, not separated from it. We built this team to cover the full space — engineering, data, product, and domain — and this hire is the next deliberate addition.

This is the opposite of a silo — and it comes with a tradeoff: you won't always have another SWE in the room, so you'll need to be technically self-sufficient. What you get in return is a team with more depth of experience per person than most engineering environments you've worked in.

What You’ll Do

Location: This role is based out of one of our US-based offices (Seattle or Scottsdale) and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation.
Reports to: Director, TASER Data Science

• Build and ship data products: dashboards, metrics systems, and recommendation tools that drive real decisions
• Own production ML deployment — bring models from research to reliable production systems with monitoring, versioning, and operational rigor
• Build and own data pipelines from TASER device telemetry through to analytics surfaces used by agencies and internal stakeholders
• Set technical direction for the team's engineering practices — the data scientists here write code and want to do it better; you'll be the senior engineering voice they've been missing
• Work across the full stack — device-side data ingestion through user-facing analytics — and move between projects to build breadth
• Use AI tools as a core part of your development workflow, not a novelty

What You Bring

Must-haves:

• You write production code at a high standard — strongly typed, comprehensively tested, designed for the people who will maintain it after you. We write Python like software engineers, not data scientists.
• You've deployed and operated ML systems in production: model serving, monitoring, failure handling, and the operational rigor that keeps them running
• You identify the most important technical work and go after it — you've shaped technical roadmaps, influenced peers and organizational direction, and moved goals forward with or without explicit direction
• You define the problem as much as you solve it — you thrive in a team where requirements evolve as you learn, and you see that as a feature, not a bug
• You've worked with real-world messy data: device logs, behavioral data, event streams, or similar

Strong preferences:

• Advanced degree in a quantitative or analytical field — PhDs are very welcome, we already have three
• Intellectual background outside computer science is genuinely valued here: statistics, physics, engineering, biology, economics, linguistics, philosophy — it doesn't have to be a "hard science." We hire for intellectual diversity because it makes the work better.
• Hands-on experience with ML production tooling: model registry, serving infrastructure, pipeline orchestration, and model monitoring
• Experience with cloud data platforms in an ML context (Azure ML, Databricks, Snowflake) and batch or streaming pipeline architecture
• Experience with hardware-adjacent data: device telemetry, IoT event logs, or similar

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• Employee Resource Groups (ERGs)
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work.

P-1545

• Build a territory plan by 30 days with a clear account prioritization strategy.
• Align both new and existing customers with the Lakehouse vision and ecosystem.
• Be able to range from faster transactions to large strategic 7 figure deals.
• Meet and exceed activity, pipeline, and revenue targets; you will be expected to prospect and generate pipeline in this role.
• Maintain clear Salesforce and Clari hygiene including use case, MEDDPICC, revenue forecasts, and account notes.
• Lead with a customer first mindset and focus on business value.

• 1+ years of closing experience, carrying a direct revenue quota.
• Prior experience in big data, Cloud, or SaaS sales.
• Be able to quickly learn new technologies and value proposition.
• Experience exceeding sales KPIs and quotas.
• Success closing new accounts while working existing accounts.
• Proficiency in MEDDPICC.
• A proven history of exceeding annual revenue targets.
• Consistent top performer with a history of internal promotion.

Compensation: $180,000-$210,000

Team and Position Details:

As a Data Warehouse Technical Architect with deep site reliability engineering (SRE) experience, you will be reporting to the Chief Technology Officer and will be dedicated to architectural excellence and technical leadership for Virtru's digital privacy products. The ideal candidate will have a natural passion for digital privacy, data architecture, and delivering exceptional technical solutions. You'll have the opportunity to work with and mentor a stellar team of passionate engineers who are collaborative, cohesive, and dedicated to producing high-quality results. We encourage curiosity and have a culture that encourages growth. As a Technical Architect on this team, you will be on the cutting edge of Zero-Trust - the future of data and service protection!

This is a player/coach role with primary focus on architecture, design, and technical health, while also contributing to critical technical implementations. You will partner closely with Engineering Managers and other technical architects to provide dedicated architecture and expertise to design, build, and operate our mission-critical data infrastructure at scale. 

As a Data Warehouse Technical Architect, your responsibilities will include:

Software Architecture & Design:

• Lead system design and architecture reviews for scaled data warehouses and engineer and designing and deploying web scale applications
• Deep experience in SRE and deploying application at scale to clouds. Strong foundation in SRE principles and practices
• Create and maintain architectural documentation, including authoring and reviewing ADRs (Architecture Decision Records), to ensure alignment with overall software architecture
• Data lakehouse design, data modeling, and integration patterns for deploy databases and data as a service, at scale
• Provide technical direction for scaling complex features and initiatives involving data storage, processing and deployments
• Familiarity with machine learning infrastructure and MLOps

Technical Health & Quality:

• Monitor and improve technical debt across all engineering teams, related to data storage, processing and site reliability
• Partner with Engineering Managers to define key technical health metrics and streamline technical onboarding processes
• Drive reliability, performance, and security best practices for data storage, processing and SRE
• Break down complex technical tasks into clear, manageable deliverables for the team
• Ensure sustainable engineering practices and code quality standards
• Serve as a technical guide for team members, helping them understand data access and storage and deployment architecture, and development practices
• Ensure teams are delivering solutions to satisfy requirements while aligning to current and future architectural designs

Technical Leadership & Mentorship:

• Coach and mentor engineers on data storage, warehouse, processing, and SRE systems architecture, and best practices
• Lead by example through high-quality code contributions to critical or complex components
• Share knowledge of hyperscale data warehouse/lakehouses, data models, and emerging technologies with the team
• Assist SRE teams with improving stability, automation, and scalability
• Conduct code reviews with focus on architectural alignment and quality
• Support hiring processes and technical assessments for engineering candidates

Collaboration & Strategic Partnership:

• Partner with Engineering Managers through regular 1:1s and team planning sessions
• Collaborate with product management, UX, and other architects to design and deliver new software solutions
• Work with other Technical Architects to identify and resolve cross-team dependencies and technical challenges
• Ensure technical roadmap alignment with product and business priorities
• Participate in and contribute to platform-wide architectural initiatives

Execution:

• Take ownership of the entire lifecycle and toolchain of all data components from design through deployment
• Contribute to critical technical implementations, balancing hands-on coding with architectural responsibilities
• Work collaboratively in a fast-paced environment touching a variety of projects and products
• Build software that will meaningfully impact how people approach data privacy

Skills that will help you thrive in this role:

Technical Expertise:

• Strong  knowledge of cloud data warehouses (Snowflake, BigQuery, Redshift, or Synapse)
• Strong experience with lakehouse platforms (Databricks, Delta Lake, Apache Iceberg, or Hudi)
• Deep understanding of data modeling techniques (Kimball, Data Vault, or dimensional modeling)
• Experience with columnar storage formats (Parquet, ORC)
• Strong knowledge of batch and stream processing architectures
• Experience with workflow orchestration tools (Airflow, Prefect, Dagster, or similar)
• Understanding of CDC (Change Data Capture) patterns and tools
• Strong foundation in SRE principles and practices
• Experience with infrastructure as code (Terraform, CloudFormation, or Pulumi)
• Proficiency in containerization and orchestration (Docker, Kubernetes)
• Knowledge of monitoring and observability tools (Datadog, Prometheus, Grafana, or similar)
• Experience with CI/CD pipelines and DevOps practices

Architectural & Leadership Skills:

• Demonstrated experience leading architectural design and technical direction for engineering teams
• Proven ability to influence without authority and drive technical decisions across teams
• Strong technical mentoring and coaching experience
• Experience creating architectural documentation, design documents, and technical specifications
• Track record of improving technical health metrics and reducing technical debt
• Experience with cross-team collaboration and dependency management

Education & Experience:

• Bachelor's degree in Computer Science, Engineering, or related technical discipline (or equivalent experience)
• At least 7 years of data warehouse, database, or data processing experience
• Proven experience in architectural or technical leadership roles

Communication & Collaboration:

• Excellent ability to communicate clearly and concisely, both verbally and in writing
• Strong presentation skills and ability to articulate complex technical concepts to diverse audiences
• Experience with stakeholder management and aligning technical decisions with business context
• Motivated by delivering customer value, team impact, and technical excellence

Preferred Qualifications:

• Experience architecting Microsoft 365 add-ins with focus on security, performance, and user experience
• Knowledge of data privacy, encryption, and zero-trust security models
• Familiarity with CI/CD pipelines and modern DevOps practices
• Contributions to open-source projects or technical community involvement

Virtruvian qualities that will set you up for success:

• Thinking outside of the box to respectfully challenge your teammates and managers in the pursuit of excellence
• Strong sense of urgency with an action-oriented mindset
• Able to collaborate and adapt to shifting priorities as business needs evolve
• Comfortable with asynchronous communication including slack, email, zoom, etc.

Perks & Benefits:

At Virtru, we believe people do their best work when their wellbeing is put first. This is why we make your wellbeing our priority with a thoughtful and holistic program that encompasses Occupational, Mental, Social, Physical, and Environmental Wellness by offering benefits such as…

• A Flexible PTO policy — we strongly encourage you to take time off (in addition to 14 holidays) to ensure that you are getting the proper time needed to unplug and recharge. 
• A $1,500 annual Learning & Development Stipend focused on providing you the resources to continually learn and professionally grow.
• Frequent company-sponsored team celebrations that provide ample opportunities to connect with teammates and be social!
• Access to an Employee Assistance Program
• Access to Headspace, a mental health app tailored to your specific needs.
• A flat 3% contribution to your retirement account
• A high degree of flexibility — Have an appointment, errand, or family emergency to take care of? Hop to it! We give you the time and space to take care of you and your own first.

In addition to wellbeing, Virtru places a strong emphasis on diversity, equity, inclusion, and belonging. Our DE&I Council is dedicated to fostering an inclusive workplace and making the psychological safety of each and every one of our teammates a top priority. 

Additional perks include: 

• Competitive compensation
• Generous parental, medical, and bereavement policies
• Uncapped commissions for Sales roles
• 401K contribution and stock options
• Full medical, dental, and vision benefits
• New Hire Swag and IT Welcome boxes
• Structured semi-annual 360° performance reviews

Virtru is committed to building an inclusive environment for people of all backgrounds and everyone is encouraged to apply. Virtru is an Equal Opportunity Employer and does not discriminate on the basis of race, color, gender, sexual orientation, gender identity or expression, religion, disability, national origin, protected veteran status, age, or any other status protected by applicable national, federal, state, or local law.

SLSQ227R758

As a Enterprise Account Executive at Databricks, you are a sales professional experienced in leading go-to-market campaigns in Fortune 1000 accounts. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating value to Customers and System Integrators.

Databricks operates at the leading edge of the Unified Data Analytics and AI space. Our customers turn to us to lead the accelerated innovation that their businesses need to gain first mover advantage in today’s ultra-competitive landscape. As we continue our rapid expansion, we are looking for a creative, execution-oriented Enterprise Account Executive to join our manufacturing vertical and maximize the phenomenal market opportunity that exists for Databricks.

Reporting to our Director of Enterprise Sales, you will manage 3 large enterprise Consumer Packaged Goods (CPG) clients within our Retail Vertical. You will come with an informed point of view on Big Data, Advanced Analytics and AI which will help to guide your successful execution strategy and allow you to provide genuine value to the client.

The impact you will have: 

• Build relationships with CIOs, IT executives, LOB executives, Program Managers, and other important partners.
• Drive value-based growth within the account.
• Expand the Databricks footprint into new business units and use cases.
• Exceed activity, pipeline, and revenue targets.
• Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce.
• Use a solution-based approach to selling and creating value for customers.
• Promote Databricks' Data Intelligence Platform powered by Apache Spark™ and Delta Lake
• Prioritize opportunities and leverage appropriate resources.
• Build a plan for success internally at Databricks and externally with your account

What we look for:

• You have previously excelled in an early-stage company -- you know how to navigate and be successful with limited oversight
• Previous field sales experience within big data, Cloud, SaaS, and a consumption selling motion
• Prior customer relationships with CIOs, program managers, and essential decision makers at local accounts
• The ability to simplify a technical capability into a value-based benefit
• 7+ years of Enterprise Sales experience exceeding quotas in larger accounts
• Managing a small set of enterprise accounts rather than a broad territory
• Bachelor's Degree

CSQ327R137

Sr. Technical Program Manager, Public Sector - Professional Services (PubSec)

At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!

As a Sr. Technical Program Manager at Databricks, you will be a key driver in our Professional Services team's mission to accelerate and de-risk customer outcomes. Your role is central to achieving project goals and maintaining exceptional customer satisfaction, particularly within our U.S. Government customer base. While you are not expected to have hands-on coding experience, your technical acumen and strategic influence will be critical for guiding complex engagements to success. You will work closely with cross-functional teams to deliver excellence at every stage.

The Impact You Will Have

• Be responsible for the successful delivery of our most complex customer engagements by providing technical leadership and guidance to the implementation team.
• Guide technical teams through key architectural decisions, helping them navigate trade-offs between established and innovative approaches.
• Proactively identify and mitigate technical risks and dependencies that could impact project timelines and goals.
• Individually deliver on commitments by producing high-quality deliverables, status reports, program plans, and customer responses that require minimal rework.
• Effectively manage all aspects of a program, including scope, schedule, budget, risk, and resources, with a focus on technical complexity.
• Act as the primary point of escalation for customers regarding technical delivery issues and, as needed, escalate to other parts of Databricks for rapid resolution.
• Build trust and credibility with technical teams and stakeholders by clearly articulating Databricks’ vision and solutions and facilitating productive, goal-oriented meetings.

What We Look For

• Technical Acumen & Decision Making: A proven ability to stay current on technology trends and make sound technical decisions without being a hands-on coder.
• Program & Project Management: Experience managing large, complex engagements and mitigating unexpected technical challenges. Familiarity with managing the trade-offs between scope, budget, and timeline.
• Communication & Leadership: Excellent communication, negotiation, and conflict resolution skills. A track record of influencing technical teams and effectively tailoring messages for different audiences, from engineers to executives.
• Experience with BI, data management, and big data technologies is preferred.
• Proven ability to multitask and manage multiple engagements while delivering a high level of customer satisfaction.
• The candidate must be clearable with the US Government.

SLSQ427R112

As an Geo Hunter Enterprise Account Executive at Databricks, you are a strategic sales professional experienced in selling into and activating Large Manufacturing accounts. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Customers and System Integrators. Always looking for new opportunities, you will be asked to to target a greenfield patch and activate new logos. Along with the chance to close an exciting deal, we also offer accelerators above 100% quota attainment.

The impact you will have:

• Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partners
• Close both new accounts and existing accounts
• Identify and close quick, small wins while managing longer, complex sales cycles
• Exceed activity, pipeline, and revenue targets
• Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce
• Use a solution-based approach to selling and creating value for customers
• Promote Databricks' enterprise cloud data platform powered by Apache Spark™
• Ensure 100% satisfaction among all customers
• Prioritize opportunities and applying appropriate resources
• Build a plan for success internally at Databricks and externally with your accounts

What we look for:

• You have previously worked in an early stage company and you know how to navigate and be successful
• Field sales experience within big data, Cloud, or SaaS sales
• Experience managing large, complex Manufacturing accounts is preferred. 
• Prior customer relationships with CIOs, program managers, and essential decision makers
• Simply articulate intricate cloud technologies
• 5+ years experience exceeding sales quotas
• Success closing new accounts while working existing accounts
• Understanding of Spark and big data preferable
• Passion for cloud technologies
• Bachelor's Degree

RDQ427R371

About the Role

We're seeking a Partner Engineer to own the technical relationship between Databricks Product/Engineering and Microsoft Azure. You will be the primary technical liaison managing our cross product roadmap, driving engineering integrations, and ensuring Databricks products work seamlessly within the Azure ecosystem. You will work directly with Azure Partner SAs, Product Managers, and engineering teams to align roadmaps, identify integration gaps, and accelerate feature delivery. This role reports to the Director of Partner Engineering and works closely with Databricks Product Management, Engineering, and Field teams.

Impact you will have

• Own the Databricks-Azure product-to-cloud technical roadmap, serving as the primary interface between Databricks Product Management and Azure partner teams to ensure alignment on features, integrations, and co-innovation priorities.
• Track and drive resolution of cross-company dependencies and blockers, manage joint milestone timing with Azure teams, and own the coordination rhythms (recurring syncs, escalation paths) that keep both sides aligned through delivery.
• Drive engineering integration work between Databricks and Azure product teams coordinating cross-company technical initiatives from scoping through delivery.
• Create and maintain technical architecture artifacts showing "better together" integration patterns, holistic architecture diagrams, and reference implementations for Azure + Databricks solutions.
• Enable field teams with technical guidance on Azure-Databricks integration patterns, working with Solution Architects and Customer Success to accelerate Azure customer wins.

What we’re looking for

• 10+ years of experience in cloud solution architecture, partner engineering, or technical program management roles, with deep expertise in Microsoft Azure services and architecture patterns.
• Proven experience managing strategic technical partnerships at VP/C-level, with ability to navigate complex multi-company engineering initiatives and drive consensus across organizations.
• Hands-on technical skills with ability to prototype integrations, debug complex issues, and validate technical feasibility of proposed solutions. Experience with Python, SQL, infrastructure-as-code, and API integration patterns.
• Demonstrated ability to manage high-stakes partner relationships where strategic interests diverge, including setting boundaries and managing expectations while preserving long-term partnership health.
• Deep knowledge of Databricks platform and Microsoft data/AI ecosystem 
• Excellent communication and influence skills, with ability to translate technical requirements between Product Management, Engineering, and external partner teams.

Preferred:

• Prior experience in Partner Solutions Architect or Alliance Engineering roles at cloud providers (AWS, Azure, GCP) or major ISVs.
• Background working at or with Microsoft - understanding of Microsoft field organization, partner program structure, and decision-making processes.
• History of driving product-to-product integrations between major platforms.
• Familiarity with modern development workflows and AI-assisted development tools (Cursor, Claude Code, Codex).

FEQ227R255

Mission

The Industry Lead Solutions Architect will serve as the connective tissue between GTM leadership, field teams, partners, and customers to deepen Databricks' Financial Services positioning by sub-industry. In this role, you will develop opinionated points of view (POVs), and be the primary technical owner of domain-specific messaging and tailored assets, that establish credibility with customer technical and business leadership. You will work with Databricks account and GTM teams to position Databricks as a strategic partner in solving customers' most critical business challenges across Financial Services sub-verticals.

This is a high-visibility individual contributor role that will bridge the gap between product capabilities and industry-specific business outcomes, working closely with account teams, partners, and product engineering to drive growth and technical excellence across your assigned vertical. You will split your time across customer-facing engagements, internal collaboration on content strategy and thought leadership, and partner engagement on joint GTM motions. You will report directly to the FS Tech GM leadership within the Financial Services team at Databricks. 

The Impact You Will Have

• Define and execute the Databricks Industry strategy — work with Industry GTM leaders to lead creation and curation of high-quality, sub-industry-specific assets (POVs, demos, reference architectures, customer references, evaluation templates, implementation plans) that showcase Databrick’s value for high-priority use cases across Financial Services sub-verticals (e.g., Capital Markets, Insurance, Banking, Payments, Professional Services, Alternative Investments, FinTech, Data Providers)
• Create standardized frameworks for asset quality and prioritization — define what "good" looks like for industry  assets, and determine prioritization of asset creation including build-vs-partner decisions
• Drive joint GTM strategy with partners — collaborate with Global System Integrators (GSIs), Regional System Integrators (RSIs), and data partners to co-build assets, align partner solutions to Databricks sub-vertical POVs, and identify the right partners for specific use cases and implementations 
• Embed with strategic Financial Services customers — engage directly with customer technical and business leadership, and advise on how Databricks solves their most pressing domain-specific challenges. Aggregate shared pain points across similar customers to refine messaging and asset creation strategy
• Guide customers through the full use case lifecycle — from establishing credibility and setting vision, through winning evaluations with "golden" POC templates and reference architectures, to realizing value with recommended implementation partners, sample SOWs, and value realization templates
• Scale Industry Adoption: You will act as the field enablement lead, training Solutions Architects (SAs) and partners on how to leverage Databricks assets to accelerate customer success globally.

What We Look For

• Technical Expertise: 15+ years in a customer-facing pre-sales or consulting role, with deep experience in big data technologies (Spark, Delta Lake, MLflow) and cloud platforms (AWS, Azure, or GCP)
• Deep domain expertise in Financial Services — strong understanding of sub-industry dynamics across one or more of: Capital Markets, Banking & Payments, Insurance, Asset & Wealth Management, Alternative Investments, FinTech, or Financial Data Providers. Ability to engage credibly with senior business and technology leaders (e.g., Heads of Markets Technology, Chief Data Officers, Heads of Quant Research)
• Proven ability to develop and execute industry-specific GTM strategies — experience building outcome-focused content, POVs, and technical assets that resonate with both business and technical personas
• Cross-Functional Partnerships: Experience working with global system integrators, consulting organizations, financial services technology, or financial services data providers is a positive differentiator
• Leadership & Enablement: Strong communication skills with a track record of mentoring technical teams and enabling partner ecosystems (GSIs and regional boutiques).
• Excellent communication and storytelling skills — ability to craft compelling narratives that connect Databricks platform capabilities to measurable business outcomes for Financial Services customers
• Education: Undergraduate degree or higher in an engineering or mathematics discipline (Computer Science, Applied Mathematics, etc.)

FEQ427R309

Mission

Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and AI. As a member of our team, you will exercise and grow your expertise in those areas, using open source projects such as Apache Spark™, Delta Lake, and MLflow. This is a customer-facing role, where you will work with customers, your teammates, the product team, our post-sales team,s and partners, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish meaningful outcomes for their businesses. In this process, you will build relationships with our customers, identify and cultivate champions, and establish yourself as a trusted advisor. You will report to a Field Engineering Manager within the Financial Services team at Databricks.

The impact you will have:

• Partner with the sales team to help customers understand how Databricks can help solve their business problems
• Provide technical leadership for customers to evaluate and adopt Databricks
• Consult on big data architecture, execute proof of concepts for strategic customer projects, and validate integrations with cloud services and other 3rd party applications
• Build and present reference architectures, how-tos, and demonstrate applications for customers
• Become an expert in, and promote open source projects (Apache Spark™, Delta Lake, MLflow, and Unity Catalog) across developer communities through meetups, conferences, and webinars
• Travel to meet with customers in your territory

What we look for:

• 6+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges
• Experience designing and architecting distributed data systems
• Comfortable programming in, and debugging, at least one of: Python, SQL, Scala, Java, or R
• Experience working with global system integrators, consulting organizations, or financial services technology, or financial services data providers is a positive differentiator 
• Experience building solutions with public cloud providers such as AWS, Azure, or GCP
• Experience with Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Experience with Data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS)
• Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.)

RDQ427R325

About the Role

We're seeking a Senior Staff Partner Engineer to own and evolve the technical foundation of the Built-On program. You will own the Partner Well-Architected Framework, create production-grade reference implementations that demonstrate best practices, and collaborate with VP and C-level executives at strategic partners to co-architect and validate their platforms. You will partner closely with Databricks Product and Engineering teams to shape the platform roadmap based on ecosystem insights and partner requirements. Your work will set the technical bar for the ecosystem and accelerate partner time-to-market.

Impact you will have

• Own the design, governance, and evolution of the Partner Well-Architected Framework, defining core architecture standards and validation mechanisms for Built-On solutions.
• Work with director, VP, and CPO-level partner architects to design, review, and validate their platforms for security, scalability, and alignment with Databricks standards.
• Build and maintain production-grade reference implementations, blueprints, and technical examples that demonstrate end-to-end Built-On architectures in practice.
• Drive alignment across Product, Engineering, and Field teams to shape platform roadmap priorities based on ecosystem insights and partner requirements.
• Evangelize the framework through clear technical documentation and published guidance, validating partner solutions and approving architectures for Built-On program inclusion.

What we’re looking for

• 10+ years of experience in solution architecture, field engineering, or technical roles in cloud, data, or AI/ML domains, with proven experience designing and owning distributed SaaS platform architectures from end to end.
• Deep expertise in multi-tenant SaaS architectures including authentication patterns (OAuth 2.0, OIDC, SSO federation), data isolation, and security best practices.
• Strong hands-on software development experience with ability to build production-grade applications, combined with expertise in CI/CD, DevOps practices, and architectural quality enforcement.
• Technical expert on Databricks product suite and cloud-native architectures (AWS, Azure, GCP), with ability to translate partner requirements into platform priorities.
• Demonstrated experience managing senior technical relationships (VP/C-level) and complex projects in partner ecosystems, with excellent communication and consultative skills.

Preferred

• Experience building B2B applications on Databricks or familiarity with hyperscaler Well-Architected Frameworks.
• Experience with modern development workflows and AI-assisted development tools (Cursor, GitHub Copilot, Claude).
• Background in consulting or services industry with experience mentoring senior technical talent and leading cross-functional initiatives.

CSQ227R88

PLEASE NOTE:
Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. Candidates with an active Secret or higher clearance are strongly encouraged to apply.

As a Big Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.

The impact you will have:

• You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
• Work with engagement managers to scope variety of  professional services work with input from the customer
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Provide an escalated level of support for customer operational issues.
• You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

What we look for:

• 6+ years experience in data engineering, data platforms & analytics
• Comfortable writing code in either Python or Scala
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps 
• Design and deployment of performant end-to-end data architectures
• Experience with technical project delivery - managing scope and timelines.
• Documentation and white-boarding skills.
• Experience working with clients and managing conflicts.
• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
• Travel to customers 20% of the time
• Databricks Certification

CSQ227R175

PLEASE NOTE:
Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. The position is based in the Washington, D.C., Maryland, or Virginia metropolitan area and includes periodic on‑site work and client collaboration. Candidates with an active Secret or higher clearance are strongly encouraged to apply.

As a Resident Solutions Architect (RSA) on our Professional Services team, you will work with customers on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.

The impact you will have:

• Handle a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
• Work with engagement managers to scope variety of  professional services work with input from the customer
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Provide an escalated level of support for customer operational issues
• Collaborate with the Databricks Technical, Project Manager, Architect and Customer teams to ensure the technical components of the engagement are delivered to meet customer's needs
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues

What we look for:

• US Top Secret Clearance Required this position
• 6+ years experience in data engineering, data platforms & analytics
• Comfortable writing code in either Python or Scala
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps
• Design and deployment of performant end-to-end data architectures
• Experience with technical project delivery - managing scope and timelines
• Documentation and white-boarding skills
• Experience working with clients and managing conflicts
• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Ability to travel up to 30% when needed

GAQ227R179

Location: We're looking to hire for this role locally to our offices based in Washington D.C., Denver, Bellevue, or Seattle. This will be a hybrid role with in-office expectations.

Databricks is looking for an experienced commercial attorney to join Databricks' growing commercial and go-to-market legal team. As Legal Counsel, you will be joining a team of legal professionals responsible for reviewing and negotiating customer agreements and providing legal support for Databricks' revenue-generating activities. You will report to the Director & AGC, Commercial Legal.

You have 4+ years of relevant commercial legal transactional experience with a focus on complex technology transactions. You have meaningful experience negotiating SaaS commercial transactions and strong knowledge/experience counseling on legal issues related to data privacy, information security, artificial intelligence, and intellectual property, including open source software.

The impact you will have:

• Become an important member of the commercial and go-to-market legal team responsible for reviewing and negotiating commercial customer agreements. Focus on balancing/mitigating risk for the company while continuing to enable our rapid revenue growth.
• Cultivate strong relationships with field sales by providing sound, strategic counsel to close sales transactions and support ongoing go-to-market efforts.
• Help maintain and update our legal agreements, ensuring that terms and internal policies are positioned to continue enabling rapid revenue growth and maintaining long-term stability for the company.
• Serve as a solutions-oriented business partner by providing pragmatic, sound legal counsel to internal Databricks clients and our growing customer base based on your understanding of Databricks' technology, product portfolio, information security architecture, and data privacy/compliance policies.
• Work cross-functionally with our business partners (e.g., Finance, Information Security, Product, and Privacy) to align, communicate, and enforce applicable policies and controls to our global contracting processes.

What we look for:

• Minimum of four (4) years of technology transactions experience either at a law firm and/or in-house Attorney role.
• Relevant commercial transactional experience working for and/or supporting cloud-based software companies, including an understanding of consumption/commit-based business models and the quarterly sales cadence.
• Demonstrated experience drafting, negotiating, and closing complex software sell-side transactions and a strong understanding of contractual issues related to information security, data privacy, artificial intelligence, and intellectual property, including open source software.
• Proven ability to successfully navigate and counsel on complex legal issues while balancing and/or mitigating material risk.
• Able to prioritize competing demands and be responsive to client expectations in a fast-paced environment within a limited time period.
• Outstanding written and verbal communication skills.
• Growth mindset, strong attention to detail, excellent critical thinking, and problem-solving abilities.
• Teaming approach with a focus on building a strong interlock with clients, business partners, and key stakeholders.
• JD and good standing to practice law in the relevant jurisdiction

RDQ126R35

About Databricks
At Databricks, we empower data teams to solve the world’s toughest challenges—from security threat detection to cancer drug development. Our mission is to build the best data and AI infrastructure platform, enabling our customers to focus on innovation.

Our engineering teams push the boundaries of data and AI technology while ensuring our platform operates with the resilience, security, and scale that businesses need to succeed.

About the Role

We are developing a growing ecosystem of applications and partners on the Databricks Data Intelligence Platform. Our team creates frameworks, tools, and best practices to enable seamless integrations, helping developers and partners build impactful solutions.

As a Senior Staff Software Engineer, you will define the vision, architecture, and strategy for this ecosystem. You will play a key role in enabling customers to integrate cutting-edge applications, helping developers thrive on Databricks, and shaping the future of data and AI platforms.

Your Impact

• Define and drive the ecosystem strategy for Databricks, a crucial pillar of our platform growth. Shape how applications and integrations enhance the Databricks experience for developers, partners, and customers.
• Develop frameworks, APIs, and tools that make it seamless for partners and developers to build, integrate, and scale applications within the Databricks ecosystem.
• Enable customers to integrate cutting-edge applications and specialized functionalities, helping them drive competitive differentiation and expand their AI and data capabilities.
• Lead and mentor engineers across teams, providing technical guidance, architectural direction, and career development support. Foster a culture of innovation, best practices, and knowledge sharing.
• Collaborate cross-functionally with product, engineering, and business development teams to align technical roadmaps with strategic business goals.
• Engage with open-source communities and advocate for best practices in application development, data processing, and ecosystem enablement.
• Represent Databricks at industry events and conferences, influencing the broader data and AI landscape while engaging with partners, customers, and developers to shape the future of our platform.

What We’re Looking For

• Deep passion for and knowledge of the broad data and AI industry. Experience contributing to open-source projects and engaging with developer communities is a plus.
• 10+ years of experience building data-intensive applications or systems. Strong expertise in database systems (SQL, NoSQL, OLAP/OLTP) and big data processing (Apache Spark™, Flink). Experience designing high-performance APIs (REST, GraphQL, gRPC) and managing integrations.
• Strong understanding of data security, governance, and compliance frameworks (RBAC, GDPR, HIPAA), as well as cloud infrastructure (AWS, Azure, GCP), Kubernetes, Terraform, and CI/CD pipelines.
• Strong leadership skills with experience driving cross-functional and cross-organizational (e.g. external partners) initiatives.
• Ability to mentor engineers, influence architectural decisions, and advocate for best practices.
• Excellent communication skills to evangelize Databricks' ecosystem vision internally and externally.
• Bias for action and commitment to delivering high-quality solutions.

Join us in shaping the future of the Databricks ecosystem and enabling the next generation of data and AI innovation.