Reporting to the Field Engineering Manager, you will collaborate with strategic 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.

We are looking for high technical aptitude individuals with a deep sense of ownership and a desire to help customers ship solutions at production scale.

Ideal candidates are deeply curious, capable of operating with confidence in ambiguous situations, and are extremely adaptable.

The impact you will have:

• Partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.

• Drive technical discovery and solution design, focusing on winning competitive deals and accelerating time-to-value in strategic accounts.

• Continuously research & learn new technologies and their implementations on 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 customers.

• Become an expert in, promote, and recruit contributors for Databricks-inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.

• Work closely with account executives to create and execute account penetration strategies, focusing on winning technical decision-makers and building new customer champions.

• Build trusted advisor relationships with senior and executive stakeholders by articulating the business value of Databricks in clear, outcomes-driven terms.

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.

• 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)

• Strong executive presence with the ability to influence C/VP-level stakeholders and align technical solutions to strategic business priorities.

• 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.

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As a DSA, you will help ensure customer success by driving focus and technical accountability to our most complex customers who need guidance to accelerate consumption on Databricks workloads that they have already selected. This is a hybrid technical and commercial role. It is commercial in the sense that you will be required to own and drive growth in your assigned customers and use cases through leading your customers' stakeholders, owning executive relationships and creating and driving plans and strategies for Databricks colleagues to execute upon.

This is in parallel to being technical, with expectations being that you become at least Level 200 across all Databricks products/workloads and that you become the Use Case-specific technical lead post Technical Win. You will bring strong executive relationship management skills and high levels of technical credibility to effectively engage and communicate at all levels with an organization, in particular with a track record of building strong relationships with the customers' executives and C-suite, elevating the conversation, and helping them realize the value of Databricks.

You will report directly to a Director, Field Engineering, as part of your Business Unit's Technical GM organization. You will play a key role in establishing the fundamental assets and best practices within the DSA team, mentoring other DSAs and wider account team members within your region, helping them develop personally, professionally and to further their careers.

The impact you will have:

• Engage with the Solutions Architect to understand the full Use Case Demand Plan for prioritized customers.
• Own the Post-Technical Win technical account strategy and investment 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/ambiguity 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 point of 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 of User Education, Onboarding/Technical Services and Support resources, along with escalating to Level 400/500 technical experts (Specialist Solution Architects and Product Specialists) to execute on the right tasks that are beyond your scope of activities or expertise.
• Create, own and execute a PoV as to how key use cases can be accelerated into production, bringing EM/PM in to prepare Professional Services proposals.
• Navigate Databricks Product and Engineering teams for New Product Innovations, Private Previews and Upgrade needs (DBR, E2 and Unity Catalog).
• Build and maintain an executive level as well as a detailed programme level success plan that covers all activities of Customer, PS, Partner, SSA, Product Specialist, SA to cover the below workstreams:

• Key use cases moving from 'win' to production
• Enablement / user growth plan
• Product adoption (strategy and activities to increase adoption of LH vision)
• Organic needs for current investment Eg. Cloud Cost control, Tuning & Optimization
• Executive and operational governance
• Proactively provide internal and external updates
• KPI reporting on the status of consumption and customer health, covering investment status, key risks, product adoption and use case progression to your Technical GM
• Development of reusable and scalable assets and mentorship of junior team members to establish the DSA team

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Working with our partners, you will help our customers to achieve tangible data-driven outcomes through the use of our Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem.

As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark, MLflow, and Delta Lake; and major public cloud infrastructure and services.

The impact you will have:

• Provide partners with the level of enablement they need to assist their clients in evaluating and adopting Databricks, including hands-on Apache Spark programming and integration with the wider cloud ecosystem

• Engage with the partner technical community by leading workshops, seminars, and meet-ups

• You will be a Big Data Analytics expert on aspects of architecture and design and will share this with our partner network

• Show expertise by producing creative technical solutions and blog posts

What we look for:

• 8 years of customer-facing experience working with external clients or partners across a variety of industry markets

• Core strength in either data engineering or data science

• Experience demonstrating technical concepts, including presenting and whiteboarding

• Experience developing architectures within a public cloud (AWS, Azure, or GCP)

• Hands-on experience in SQL, Python, Scala, or Java

• Expertise in at least one of the following:

• Data Engineering technologies (Ex: Apache Spark, Hadoop, Kafka)

• Data Warehousing (Ex: SQL, OLTP/OLAP/DSS)

• Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, HPO)

About Databricks

Databricks is the data and AI company. More than 10,000 organisations worldwide , including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 , rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI.

Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

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Reporting to the Senior Director of Product Marketing, you’ll define and execute marketing strategies that drive AI adoption, enable sales and partners, generate pipeline for AI products, and drive developer adoption of AI.

Partnering closely with product, sales, and marketing teams, you’ll translate product innovation into clear market narratives, compelling customer content, targeted campaigns, and impactful product launches.

The impact you will have:

• Own the marketing strategy and planning for Databricks AI products
• Build and land collaterals for key channels across sales, partner, and demand generation, including content campaigns and events
• Create an always-on go-to-market plan and pilot new programs with a strong focus on winning AI mindshare, driving pipeline, and product adoption
• Build a strong and collaborative partnership with product and engineering teams to launch new products
• Increase global reach by working with field marketing, industry, events, and partner organizations to help scale the business globally
• Build trust with customers and share their agentic AI customer stories

What we look for:

• 10+ years of technical product marketing experience in an enterprise software company
• Experience with AI/machine learning technologies
• Strong understanding of AI decision makers and builders (developers, ML engineers), and experience in building relevant content for them
• Portfolio of impactful marketing content, sales enablement materials and always-on GTM with proven results across the marketing funnel
• Experience presenting at conferences and customer engagements
• Preferred BS in Computer Science or Engineering, coupled with MBA

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Epic Games is seeking an experienced Senior Gameplay AI Engineer with an interest in Machine Learning (ML) / Large Language Models (LLMs) to join the Fortnite Game Foundations team. Our group develops new technology for Unreal Engine 6, with a focus on adapting Fortnite's systems to it. Using Scene Graph and Verse, you will help redefine Fortnite's systems in this new framework.

In this role, you will

• Drive initiatives with minimal oversight to build strong, performant foundations that will last for years
• Analyze current Fortnite LLM systems and develop a strategic plan to unify them into NPC systems
• Improve current Reinforcement Learning strategies to target
• Ensure high-quality user experiences across all supported platforms, with attention to usability for developers new to UEFN

What we're looking for

• Professional game development experience, including shipping AAA titles featuring gameplay AI
• Excellent communication and interpersonal skills, self-motivated, and able to work independently
• Strong understanding of gameplay AI systems such as Behaviour Trees, Finite State Machines, and Pathfinding
• Strong C++ skills for building efficient gameplay AI systems and tools
• Empathy for creators new to programming and game development, with a drive to make AI easy to use without losing flexibility or power
• Experience with live service games and consoles is a plus
• Experience in Machine Learning or LLM technologies; prior exposure through work, courses, or personal projects

Benefits

We pay 100% for benefits for both employees and dependents and offer coverage for supplemental medical, dental, vision, critical illness, telemedicine, Life and AD&D, long term disability insurance as well as weekly indemnity (short term disability) and a retirement savings plan with a competitive employer match. In addition to the EAP (employee assistance program), we also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents.

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We're seeking an experienced Senior Gameplay AI Engineer with an interest in Machine Learning (ML) / Large Language Models (LLMs) to join the Fortnite Game Foundations team. Our group develops new technology for Unreal Engine 6, with a focus on adapting Fortnite's systems to it.

In this role, you will

Drive initiatives with minimal oversight to build strong, performant foundations that will last for years. Analyze current Fortnite LLM systems and develop a strategic plan to unify them into NPC systems. Improve current Reinforcement Learning strategies to target. Ensure high-quality user experiences across all supported platforms, with attention to usability for developers new to UEFN.

What we're looking for

Professional game development experience, including shipping AAA titles featuring gameplay AI. Excellent communication and interpersonal skills, self-motivated, and able to work independently. Strong understanding of gameplay AI systems such as Behaviour Trees, Finite State Machines, and Pathfinding. Strong C++ skills for building efficient gameplay AI systems and tools. Empathy for creators new to programming and game development, with a drive to make AI easy to use without losing flexibility or power. Experience with live service games and consoles is a plus. Experience in Machine Learning or LLM technologies; prior exposure through work, courses, or personal projects.

This role is open to multiple locations in North America (excluding CA, NY, & WA).

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We’re looking for a Senior Product Marketing Manager to help accelerate the growth of Replit Agent— a core part of our mission to allow anyone to build software, without any coding experience.

This role sits at the crossroads of product, engineering, and go-to-market, ensuring that every new feature we ship lands with clarity, excitement, and impact. You’ll work closely with our engineers, PMs and Partnership teams to understand the product roadmap, then translate those innovations into compelling narratives that resonate with builders of all kinds — from solo builders to enterprise teams.

Responsibilities

• Lead Product Marketing for our Launches: Develop and operationalize Replit’s launch motion — from early roadmap planning through public release. Create repeatable frameworks that keep launches fast, clear, and coordinated.

• Shape Messaging & Positioning: Craft technically fluent, developer-first narratives that highlight how Replit’s AI coding agent accelerates creativity and productivity. Tailor messaging to different developer segments and channels.

• Create Sales & Growth Enablement: Build the first generation of enablement materials (decks, demos, battlecards, FAQs) that empower GTM teams and partners to tell Replit’s story confidently.

• Lead Competitive and Market Insights: Stay ahead of the fast-moving landscape in AI coding assistants and app development platforms. Identify key trends, threats, and whitespace opportunities that shape how Replit stands out.

• Co-market with our Partner ecosystem

You’ll also leverage your storytelling expertise to collaborate with our partner ecosystem, crafting compelling “Better Together” narratives that elevate our joint value and propel partner marketing initiatives

• Analyze & Learn: Define metrics, gather insights, and feed back learnings from the field and community to inform product and marketing strategies.

Requirements

• Have 8+ years of work experience, including 6+ years in product marketing (ideally within the app development space)

• Love building from scratch — frameworks, processes, teams, and strategy

• Excellent written communication and storytelling skills, with the ability to simplify complexity

• Are equally comfortable writing a launch announcement, building a competitive teardown, or running a cross-functional sync

• Have a founder mindset: you identify gaps and fill them, move quickly, and don’t wait for someone else to define the playbook

• Proven ability to partner directly with engineers and product managers, turning technical concepts into simple, powerful stories

• Strong project management skills — you can juggle multiple launches and keep teams aligned under pressure

• Experience with sales enablement and competitive positioning for technical audiences

• A collaborative, low-ego approach and willingness to dig into the details

Bonus Points

• Experience in app development space or marketing to product managers, designers, sales, marketing or operations teams

• Experience with Partner/Ecosystem Marketing — to start with, we are looking for a generalist who can also help out with Partner Marketing

• Experience at a startup or high-growth environment where speed and adaptability matter

• Understanding of AI and machine learning technologies

• A track record of successful launches for developer-facing products

Example Projects

• Establishing a repeatable launch rhythm for major features and smaller updates

• Building a competitive intelligence framework for the AI coding assistant space

• Developing persona-driven messaging for builders across different segments and company sizes

• Launching and executing co-marketing initiatives with Replit’s partner ecosystem

• Coordinating cross-functional launches with engineering, product and marketing

• Defining metrics and feedback loops between product, marketing, and the our builder community

Benefits

• Competitive Salary & Equity

• 401(k) Program with a 4% match

• Health, Dental, Vision and Life Insurance

• Short Term and Long Term Disability

• Paid Parental, Medical, Caregiver Leave

• Commuter Benefits

• Monthly Wellness Stipend

• Autonomous Work Environment

• In Office Set-Up Reimbursement

• Flexible Time Off (FTO) + Holidays

• Quarterly Team Gatherings

• In Office Amenities

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