ABOUT THE TEAM
Anduril’s Integrated Systems (AIS) division specializes in the design and development of distributed, autonomous fire-control architectures. We are a high-performing team made up of the world’s best in robotics, autonomy, weapons, networking, and manufacturing. We seek to deliver validated, integrated capabilities to the Department of War and the Intelligence Community. Our team proactively works with our mission partners to shape the employment of these advanced integrated systems to unlock new tactics, techniques, and procedures for warfighting units tasked with today’s most complex challenges.

ABOUT THE JOB
Anduril is seeking a Head of Frontier AI to build a world class machine learning team across capabilities, product, and infrastructure. In this role, you will be responsible for driving the overall strategy for instantiating safe and secure agentic and perception capabilities relevant to the division's programs and products and set research initiatives that usher in new frameworks of operator-to-agent teaming to achieve operational-efficiency.

• Drive strategy that fields safe and secure performant agents on embedded warfighting compute.
• Manage a cohort of cleared machine learning engineers, researchers, and product managers.
• Provide deep technical leadership to team on design, development, and deployment of advanced AI solutions.
• Leverage and shape the world’s largest defense robotics data set to develop cutting-edge AI capabilities.
• Coordinate with internal testing and evaluation team(s) to design specialized evaluation benchmarks for defense use-cases.
• Partner with US-based Frontier AI Labs to revolutionize the employment of autonomy in embedded hardware.

REQUIRED QUALIFICATIONS

• Management experience leading and growing AI/ML teams.
• Experience deploying AI-technologies into classified environments (e.g., disconnected, air-gapped, etc.).
• Expertise in deep learning techniques and the latest generative AI technologies (Agents, Vision-Language Action models, etc.).
• Strong programming skills.
• Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance.

PREFERRED QUALIFICATIONS

• Experience with edge-deployed ML systems.
• Prior work in Defense Tech and/or Start Ups.
• Active U.S. Top Secret SCI security clearance.

About Skylight

Skylight is a digital consultancy using design and technology to help government agencies deliver better public services.

We’re at the forefront of a civic movement to reinvent how all levels of government serve families, patients, and many others in today's digital world.

If you want to play a part in driving this critical movement forward, we’d love for you to join our growing team of public interest technologists.

The work we do matters.

About the job

At Skylight, product managers are responsible for strategy, planning, execution, stakeholder management, and team health. Product managers partner with researchers, designers, engineers, client stakeholders, and others to inform their product decisions. At a high level, it’s the product manager’s job to figure out what to build next and why.

As a Product Manager supporting ACF’s grants management systems, you will partner closely with senior leadership, grants management staff, and technical teams to help translate strategy, policy, and operational needs into delivered system improvements across ACF’s grants management tool suite.

What you’ll do

• Lead a cross-functional team of researchers, designers, engineers, and subject matter experts to build and ship high-impact products and services
• Translate needs from users and government partners into a product strategy, including vision, objectives, measures of success, product roadmap, and product backlog
• Manage the direction, scope, and priorities of the product initiative, building from user research to minimum viable products to scalable solutions
• Write user stories, prioritize stories, and build release plans
• Facilitate team ceremonies such as planning meetings, stakeholder syncs, and retrospectives
• Draw on data and feedback to inform the product strategy and roadmap
• Work in close partnership with government teams to transfer digital skills and product knowledge throughout the course of the project
• Creatively navigate bureaucratic challenges, paving the way for more intuitive processes in the future
• Collaborate with government partners to ensure compatibility with existing processes and technologies

What we're looking for

Minimum qualifications

• Understand lean product principles and how to apply them (e.g., minimum viable product) at various stages of the product life cycle in order to mitigate risk, validate assumptions, and amplify learning
• Can develop a product strategy that is informed by an understanding of the problem to be solved, prioritizes outcomes over feature sets, and establishes the direction of the product over time (e.g., product roadmap), including success criteria
• Ability to execute the product strategy by breaking down the product’s scope into usable chunks of value that can be realized sooner rather than later, creating and maintaining a prioritized backlog with validated user stories, and facilitating team ceremonies over the course of the product’s iterations
• Understand how to engage in the process of human-centered design in order to better inform product direction
• Ability to collaborate with folks outside of your discipline, such as researchers, designers, engineers, and others, in order to get things done
• Ability to manage clients and stakeholders in a way that builds trust, alignment, and healthy environments for individuals and teams
• Understand the merits of different software development methodologies (e.g., agile, lean) and how to put them into practice
• Past experience embedding with a client to discover, recommend, and build more efficient and sustainable data systems and operational processes that support service delivery.
• Experience product managing core operational data products, including a strong understanding of data pipelines, data warehousing, and underlying infrastructure.
• Demonstrated comfort translating ambiguous or evolving needs into clear, actionable requirements in partnership with policy experts and data engineers.
  Comfort defining and working with data schemas, API specifications, and data delivery formats.
• Ability to work successfully within a professional services environment (e.g., can communicate effectively with clients)
• A passion for creating better public outcomes through great government services
• A mindset and work approach that aligns with our core values

Nice-to-have qualifications

• Prior experience and familiarity with Palantir Foundry
• Understanding of core AI/ML concepts, with the ability to identify and evaluate opportunities where generative AI can deliver meaningful product or operational value.
• Prior experience working in the civic tech space
• Experience working in a remote-team environment

Don’t meet every qualification but think you can do the job? We’d still love to hear from you. If you’re excited about the role, apply. We consider candidates with a range of backgrounds and experiences.

Other requirements

• All work must be conducted within the U.S., excluding U.S. territories. Some federal contracts require U.S. citizenship to be eligible for employment.
• You must be legally authorized to work in the U.S. now and in the future without sponsorship.
• As a government contractor, you may be required to obtain a public trust or security clearance.
• You may be required to complete a company background check successfully.
• Some of our available roles are on federal contracts that require a degree or additional years of experience as a substitute.

Position type

This is a full-time, exempt position.

Location

This role is on-site in Washington, DC, five days per week. A relocation incentive of up to $10,000 is available.

Care package

Salary

We want to give you the most competitive salary possible. After all, you deserve it! To that end, we use the results of our interview process to determine what salary is most appropriate given your current level of seniority. For a Product Manager at Skylight, the current salary ranges are as follows:

• Associate Product Manager: $90,000–$125,000
• Product Manager I: $120,000–$140,000
• Product Manager II: $135,000–$160,000
• Senior Product Manager: $150,000–$185,000
• Staff Product Manager: $170,000–$203,000
• Principal Product Manager:  $180,000–$230,000

Benefits

Your well-being is important to us, so we focus on supporting you in a variety of ways:

• Medical insurance, dental insurance, vision insurance
• Short-term and long-term disability insurance
• Life and AD&D insurance
• Dependent care FSA, healthcare FSA, health savings account
• Dollar-for-dollar 401(k) match up to 10% of your salary with no vesting period
• Flexible paid-time-off policy (generally around 25 days per year), plus 11 paid federal holidays
• Up to 12 weeks paid-time-off for all eligible new birth, adoption, or foster parents
• Performance rewards, including annual salary increase, annual performance bonus, spot bonuses, and stock options
• Business development / sales bonuses
• Referral bonuses
• Annual $2,000 allowance for professional development
• Annual $750 allowance for tech-related purchases
• Annual swag budget of $100 to display your Skylight pride with some merchandise (hoodies, hats, and more)
• Dollar-for-dollar charity donation matching, up to $500 per year
• Flexible, remote-friendly work environment
• An environment that empowers you to unleash your superpowers for public good

Interview tips

• Visit our join page to learn more about how our interview process works.
• Check out our Career Pathways framework to learn more about the different roles within Skylight and the skills needed to do them.
• If you’d like to request reasonable accommodations during the application or interviewing process, please contact our recruiting team at recruiting@skylight.digital.

We participate in E-Verify and upon hire, will provide the federal government with your Form I-9 information to confirm that you’re authorized to work in the U.S.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, sex, religion, age, disability, veteran status, or any other category protected by applicable law.

As a strategic sales enablement team, we drive growth and optimize sales performance within Accenture's Public Safety Portfolio. We act as strategic advisors throughout the sales cycle, supporting pre-RFP activities, crafting compelling RFP submissions, and developing solutions that resonate with diverse decision-makers. Our impact extends beyond individual deals. We contribute to portfolio-wide initiatives and develop comprehensive sales training programs, empowering the entire workforce for consistent sales success.

The work

• Strategic Pipeline Development & Capture Support: Lead early-stage pipeline assessments, opportunity qualification, and strategic prioritization to ensure a healthy, insights-driven pipeline across the Public Safety portfolio. Participate in and in some cases lead Capture activities—including opportunity shaping, stakeholder mapping, teaming strategy coordination, and pre-RFP engagement support—to increase win probability and strengthen pursuit readiness.
• AI‑Enabled Sales & Growth Acceleration: Identify and implement AI tools, workflows, and automations that enhance sales productivity, improve proposal quality, and accelerate pipeline movement. Use AI-driven analytics to surface emerging trends, competitor insights, and whitespace opportunities. Introduce AI‑based content development, generative proposal drafting, and automated market intelligence capabilities.
• Strategic Sales Support: Act as a trusted advisor, supporting pre-RFP activities, crafting compelling RFP submissions, and developing tailored solutions that address the unique needs of diverse decision-makers.
• Portfolio-Wide Impact: Contribute to cross-portfolio growth initiatives for business expansion and develop comprehensive sales training programs to enhance the overall sales capabilities of the workforce and drive consistent success.
• Comprehensive Sales Operations Support: Leverage expertise in pipeline management, deal tracking, portfolio strategy analysis, and daily deal searches using tools like Sam.Gov and GovWin to maintain a robust sales pipeline and keep account sales leaders aware of client priorities and emerging opportunities.
• Market Analysis and Insights: Provide actionable insights and growth recommendations based on in-depth market analysis, competitive intelligence, and client research.
• Acquisition Lifecycle Expertise: Develop a deep understanding of the federal government acquisition lifecycle, including acquisition trends, and provide strategic recommendations to clients for RFP shaping.
• Value Proposition Content Development: Articulate the value of Accenture's services through compelling sales materials such as Whitepapers, POVs, and client presentations.
• Cross-functional Collaboration: Build strong relationships with account leadership and subject matter experts across cybersecurity, digital platforms, cloud, applied intelligence and more.

What you need:

• 3 - 5 years professional experience
• Proficiency with core tools/processes used on federal engagements (e.g., MS Office, documentation/workflow standards); for tech support roles, workstation (PC/Mac) and Windows support capability.
• Ability to travel up to 25% as needed. 
• Business & Sales Writing, Capture, Executive-level Presentations, Proposal Development, Strategic Thinking & Analysis, Strategic Solutioning, Research

The Okta Security team’s mission is to strengthen Okta’s position as the leading Identity-as-a-Service solution by identifying and resolving risks to the employees, product, and most importantly, our customers. 

The Security Trust & Culture team works to enhance customer trust in Okta’s identity services . We serve as a strategic resource working closely with Okta’s go-to-market teams. The Customer Assurance team is the central hub for security information, providing comprehensive guidance and resources to Okta customers so they can effectively manage their risk. 

As a Staff level analyst of Customer Assurance, you will support prioritizing and efficiently responding to questions about our security program and other due diligence related requests. You will act as a critical bridge between our customers and our internal engineering teams, ensuring Okta’s security posture is communicated effectively.Tasks will include training local Sales teams, managing complex escalations in the regional market, and driving technological changes to help Customer Assurance scale its efforts globally.

This position requires a unique combination of skills including an ability to coordinate the analysis of technical issues, to communicate clearly about security-relevant topics with both internal and external customers, to collaborate with internal business units to ensure execution of time-sensitive projects, and to present to upper management or the broader organization as required.  The ideal candidate will have experience with SaaS cloud security risk assessment and a solid understanding of the core principles of identity management. If you want to make a difference in the security program of a global cloud provider, we want you on board. 

Job Duties and Responsibilities: 

• Serve as the critical bridge between Okta’s customers and internal Engineering/Product Security teams. You must be able to unpack complex customer security concerns, hold in-depth technical discussions with internal engineering to align on solutions, and translate Okta’s security architecture back to the customer to resolve high-stakes inquiries.
• Take end-to-end ownership of highly technical security questionnaires and due-diligence requests, Partner seamlessly with internal subject matter experts—including our specialized Federal/FedRAMP teams—to ensure accurate, timely, and high-quality responses for highly regulated customers.
• Drive technological changes within Customer Assurance by identifying and implementing AI and automation strategies to streamline workflows, scale global efforts, and reduce response times.
• Train and empower regional Go-To-Market and Sales teams on standard engagement protocols, ensuring they can leverage Customer Assurance resources smoothly to accelerate deals.
• Collaborate with the Security Trust & Culture team and Regional CSOs to develop, publish, and maintain forward-facing security collateral, FAQs, and field communications.
• Work within a global team, participating or leading global handoffs between American timezones and European or Asian, when required for large security or industry events. 

Requirements:

• Bachelor’s degree in Computer Science or Management Information Systems, or equivalent work experience  in technology or information security fields
• Minimum 3 years information security, project management, or related experience
• A strong, fundamental understanding of core Security principles, architectures, and operations.
• Understanding of IT and cloud methodologies, information security, privacy, identity management, risk assessments and IT regulation and compliance standards 
• Strong oral, written, and presentation skills
• Strong written and verbal communication skills, with a proven ability to distill complex technical concepts into clear, concise responses for both technical customers and internal executive stakeholders.
  
  

Helpful Certifications / Skills:

• Okta Certified Professional/Administrator
• Certificate of Cloud Security Knowledge (CCSK) and/or Certificate of Cloud Auditing Knowledge (CCAK)
• Certified Information Security Auditor (CISA)
• Experience with generative AI tools or process automation platforms is a strong plus.
• Familiarity with Federal or highly regulated compliance frameworks (e.g., FedRAMP, StateRAMP, NIST 800-53, or DoD IL4/IL5)

#LI-HYBRID

#LI-SH1
P7020_3396428

The Application Modernization Platform (AMP) team is tackling one of the industry's most critical challenges: leveraging Generative AI to transform rigid, legacy applications into modern, microservices-based architectures powered by MongoDB. A core difficulty in legacy code transformation is guaranteeing the equivalence of the new application's business logic, ensuring it operates smoothly and efficiently with the new MongoDB data ecosystems in a reliable and scalable manner. The success of this mission heavily relies on the essential tools developed by the CodeGen team.

We are looking for an experienced Senior Lead Software Engineer with a strong background in database ecosystem, reshaping complex large-scale services and team leadership. You will lead a talented team building a complex product suite using GenAI capabilities. The ideal candidate is a hands-on technical leader who can drive architectural decisions, mentor engineers, and collaborate closely with product management to deliver a product that solves our customers' most challenging application transformation problems.

This role will be based in North America west coast, and offers a hybrid working model. 

The ideal candidate for this role will have

• 10+ years of software development and operations experience, with a focus on building platforms and distributable software infrastructure
• 2+ years of experience leading, coaching, and mentoring a team of software engineers to achieve high-impact results
• Extensive product experience in building enterprise-grade analytics systems for data streaming or data tooling
• Extensive experience with relational and document data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc) and at least one document database (e.g. MongoDB)
• Having experience in using GenAI in building complex large-scale systems, and knowing what GenAI is best suited to do, is a plus
• Curiosity, a positive attitude, and a drive to continue learning
• Excellent verbal and written communication skills
• Excellent time and project management skills including the ability to make realistic assessments of project cost and complexity

Position Expectations

• Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation, quality, and continuous improvement
• Drive the architectural vision and long-term technical roadmap for the Code Gen product suite, ensuring it is scalable, reliable, and performant
• Collaborate closely with Product Managers and other stakeholders to define product features and translate business requirements into robust technical designs
• Lead the design and implementation of complex, mission-critical components of AMP’s code transformation toolset
• Champion and enforce engineering best practices through design reviews, code reviews, and by setting a high standard for quality and operational excellence
• Act as a hands-on leader, guiding the team through complex technical challenges and contributing to the codebase where necessary

Success Measures

Within the first three months, you will have:

• Fully ramped up on our architecture, business domain, and team processes
• Establish yourself as the technical leader within the team, actively driving technical discussions, design reviews, and planning for the product roadmap
• Begin mentoring team members and building strong collaborative relationships with your product counterparts

Within six months, you will have:

• Successfully led the team to deliver a major feature or product release
• Made significant contributions to the architectural roadmap and started influencing the technical direction of adjacent teams
• Established a clear rhythm of execution and a high-performing culture within your team

Within 12 months, you will have:

• Become recognized as the go-to technical expert for the code transformation domain at MongoDB
• Delivered large-scale features across the entire tech stack that have a measurable impact on our customers and business
• Played a crucial role in recruiting, hiring, and growing the engineering team

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

REQ ID: 1273362479

The Application Modernization Platform (AMP) team is tackling one of the industry's most critical challenges: leveraging Generative AI to transform rigid, legacy applications into modern, microservices-based architectures powered by MongoDB.

We are building a comprehensive, SaaS-like platform, encompassing both the "brain" (multi-agent reasoning and orchestration) and the "hands" (the deployment platform and modernization toolset). This solution requires a robust platform foundation and infrastructure designed for a "build once, run anywhere" model, ensuring seamless operation regardless of a client's security or network constraints. A key challenge is balancing the need to tune our tools for each customer's unique tech stack and restrictive environments with making them easily extensible and scalable for common application modernization challenges.

We seek an engineering leader for this high-visibility initiative. This role requires defining the high-level strategy and technical direction across all AMP engineering pillars, leading the execution of solving uniquely complex application modernization puzzles, and delivering an enterprise-grade product. The leader will minimize deployment friction, meet customer compliance requirements, and help shape the future of how global enterprises leverage GenAI.

The ideal candidate is a hands-on technical leader who excels at leveraging GenAI capabilities, architecting complex distributed systems, and designing the orchestration agents necessary to reliably and fluidly run the entire software development lifecycle.

This role will be based in North America's West Coast (PST), and offers a hybrid working model.

The ideal candidate for this role will have

• 10+ years of software development and operations experience, with a focus on building platforms and distributable software infrastructure
• Deep experience in building data warehouses and core components for data processing systems
• Have experience in using GenAI in building complex large-scale systems, and know what GenAI is best suited to do
• Understanding of security-first design, specifically regarding the execution of untrusted code, fine-grain access control, and rigorous input validation
• 2+ years of experience leading, coaching, and mentoring a team of engineers to achieve high-impact results
• Excellent verbal and written technical communication skills and a strong desire to collaborate cross-functions
• Excellent time and project management skills including the ability to make realistic assessments of project cost and complexity
• Curiosity, a positive attitude, and a drive to continue learning, in particular building AI skillset

Key Responsibilities

• Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation, quality, and continuous improvement
• Provide thought leadership, and execute AMP roadmaps to influence and shape the future of how global enterprises leverage GenAI
• Lead the design and implementation of a sophisticated orchestration layer that manages authentication, telemetry, and the workflow of application modernization stages
• Lead the team design and leverage GenAI to build reliable and scalable building blocks that are extendable and easy to assemble to an autonomous workflow
• Collaborate with MongoDB product teams to ensure the modernized applications integrate seamlessly with customers’ database ecosystem
• Act as a hands-on leader, guiding the team through technical challenges related to where and how to leverage GenAI to build the critical building blocks of application modernization toolset

Success Measures

Within the first three months, you will have:

• Fully ramped up on our architecture, business domain, and the specific constraints of deploying software to large enterprise client environments
• Established yourself as the technical leader within the team, actively driving engineering strategy and key technical decisions
• Begun collaborating with team leaders (TLs, managers) of AMP org and product counterparts on designing/improving the orchestration framework and the workflow components it manages
• Developed a comprehensive grasp of all AMP pillars and their roadmap

Within six months, you will have:

• Influenced AMP product and engineering leads on key technical decisions, and set clear direction for the team
• Successfully led the team to making substantial progress on the “big rock” deliverables and critical milestones of AMP product, enabling the team to smoothly land the planned roadmap
• Owned and delivered some key pieces of AMP orchestration framework and the workflow components it manages
• Served as a role model and strategic leader for the AMP org
• Contributed to establish engineering excellence standards for the team, and began mentoring and providing technical guidance to team members

Within 12 months, you will have:

• Become recognized as the strategic engineering leader both within and outside of the AMP organization
• Helped senior leadership (e.g., Directors/VP) on defining the technical strategy and roadmap for the future
• Enabled the team to deliver a stable, production-ready platform that supports autonomous application modernization workflow for our Field Engineering teams
• Drove the adoption of engineering excellence, making it a core tenet of the team's culture and operations
• Contributed to the development of tech leads within the team, fostering growth opportunities. Played a key role in shaping the AMP organization into a self-driving high-performing engineering team

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req. ID: 1273362664

MongoDB is building a world-class team in North America to create tooling that helps customers modernize their applications and migrate their data from legacy relational databases to MongoDB in real-time. As companies modernise legacy workloads and data ecosystems, they are increasingly drawn to the flexibility and scalability of the document model. The tools developed by the Code Generation and Data Migration team are critical in this journey, helping customers with schema modeling, code generation, initial data loads, and continuous data synchronization.

We're looking for a Senior Engineer with a strong background in computer science fundamentals, systems design, experience in the Java ecosystem, streaming systems, and data-intensive applications to join our engineering team. In this role, you will be instrumental in designing, building, and optimizing the underlying data structures, algorithms, and database interactions that power our generative AI platform, code generation and migration tools. This involves crafting sophisticated orchestration layers, robust integration points, and high-performance data systems that seamlessly connect and leverage advanced AI capabilities for code generation and  building a sophisticated data migration suite using a modern technology stack, which includes Java, Spring Boot, Kafka, Debezium, and React.You will work on critical components that ensure the scalability, efficiency, and reliability of our services, collaborating closely with AI researchers, product management and other engineers to design and implement cutting-edge products that solve complex customer challenges.

This role will be based out of North America in the PST and MST zones only.

The ideal candidate for this role will have

• 2+ years of  engineering experience in backend systems, distributed systems, or core platform development
• Experience in one or several of Java, Rust, C/C++, and/or Python, with a strong understanding of systems-level programming, memory management, and performance tuning
• Experience with streaming data platforms such as Apache Kafka and Change Data Capture (CDC) tools like Debezium
• Experience with relational data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc)
• Exposure to client-side technologies such as JavaScript and React is a plus
• Good understanding of algorithms, data structures and their time and space complexity
• Curiosity, a positive attitude, and a drive to continue learning
• Excellent verbal and written communication skills

Nice to Have

• Familiarity with cloud-native distributed systems (e.g., Kubernetes)
• Experience with NoSQL databases and understanding of their trade-offs is great, but not required. We'll teach you NoSQL
• Contributions to relevant open-source projects

Position Expectations

• Contribute high-quality, well-tested backend code to the data migration engine and core components of our generative AI orchestration platform
• Collaborate effectively with Product Management, AI researchers and machine learning engineers and designers to build and deliver on the product roadmap
• Work to develop robust and efficient backend services that orchestrate AI functionalities
• Identify and address performance bottlenecks and architectural challenges in our systems, particularly within data flow and orchestration
• Participate actively in code reviews to enforce best practices and patterns
• Help troubleshoot and resolve complex technical issues in our distributed systems
• Give and solicit feedback on technical design documents and pull requests
• Perform tasks related to process such as CI/CD, quality, testing, etc 

Success Measures

Within the first three months, you will have:

• Familiarize yourself with the MongoDB database and aggregation language
• Familiarize yourself with the backend tech stack including Java, Spring Boot, and Kafka
• Set up software development infrastructure (tech stack, build tools, etc) to enable development using the relevant tech stacks
• Started collaborating with your peers and contributed to code reviews

Within six months, you will have:

• Familiarised yourself with the rest of our the application modernization tool stack
• Delivered at least one large scale feature that spans the entire tech stack
• Reviewed and contributed to scope and technical design documents

Within 12 months, you will have:

• Become a key contributor to our backend stack, capable of taking on complex features independently
• Helped recruit and interview new members of the team
• Collaborated effectively with other teams at MongoDB on cross-functional projects

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

REQ ID: 425547

What You’ll Do

There hasn’t been a better time to join Samsung, come lead our sales engagement with one of the leading Cloud Service Providers and take the relationship to the next level. The world’s largest cloud service providers are setting the pace for the infrastructure innovation required to empower AI and Memory. In this role you will be at the forefront of continued growth for Samsung and leading our sales efforts with one of our largest customers.

• Provide the vital leadership, support, and mentorship to ensure that the account sales strategy is aligned with the business direction and supports the accomplishment of the overall company objectives.
• Focus on continuous improvement on the customer experience and build deeper relationship with key stakeholders.
• Collaborate with key decision makers at customer to secure design wins and qualification slots on new programs for DRAM and NAND-based products.
• Create and align sales forecast, delivering monthly revenue goals.
• Conduct face-to-face customer management meetings to provide support, address issues, communicate updates, and build strong relationships.
• Negotiate quarterly business awards including pricing and supply support.
• Support sales opportunities by providing product information, roadmap updates, product samples, and price quotations.
• Maintain awareness of and communicate internally to sales and marketing teams regarding major market trends, customer strategies, and competitive activity.
• International business travel to support customer meetings as needed.
• Communicate and collaborate with sales and marketing teams to resolve business issues, plan account strategies, product alignment and achieve revenue goals.
• Lead a team of high performing sales leaders and team members and ensure they have clarity of purpose and ownership.

Reports to: SVP, Sales 

What you Bring

• BS/BA degree. MS degree or comparable engineering degree a plus.
• 10+ years sales experience in semiconductor industry or related technical field.
• Sales Leadership and Tier 1 Customer Account Management Experience.
• Sales Experience with DRAM/NAND and or related silicon sales experience selling into Tier 1 accounts.
• Sale Experience with Tier 1 Hyperscale and Data Center Customers.

#LI-KS1

About the Role
We are seeking an experienced research engineer to join our team. As a critical member of our interdisciplinary group, you will collaborate closely with AI scientists, engineers, and drug discovery experts to develop and deploy AI models that accelerate the identification and development of novel therapeutics. This role offers the opportunity to apply cutting-edge AI techniques in production settings to address pressing challenges in healthcare and contribute to improving human health globally.

We are particularly interested in candidates who have demonstrated experience building and delivering machine learning systems in industry environments, where rigor, scalability, and cross-functional collaboration are essential. The ideal candidate has experience translating research ideas into robust, production-ready solutions that drive measurable impact.

The role is open to the following locations: San Francisco Bay Area, Seattle

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related fields; advanced degree preferred
• Minimum of five years of industry experience in AI, machine learning, or related roles, with a track record of implementing, scaling, and deploying AI models in production environments.
• Expertise with modern deep learning toolchains and experience with large scale model training.
• Strong understanding of deep learning fundamentals.
• Excellent problem-solving skills, with a keen eye for detail and a passion for tackling complex challenges in the life sciences.
• Effective communication and collaboration abilities, with the capacity to work effectively in a fast-paced, multidisciplinary team environment.
• Publication track record at conferences such as NeurIPS, ICML, or ICLR is a plus, though demonstrated industry impact is prioritized
• If you are a motivated individual with a passion for applying AI to advance drug discovery and improve human health, we encourage you to apply!

Compensation

We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity. The base pay range for this position is expected to be $190,000 - $280,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.

Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

Position Overview

Xaira is seeking enthusiastic and motivated candidates to join our team! As an AI Scientist, you will have prior experience in developing and implementing new deep learning methods while upholding a track record of AI Innovation demonstrated through publications in Artificial Intelligence/Machine Learning or projects applying them to interdisciplinary fields. You will be a crucial member of our core AI team, comprising highly creative and talented peers who are all experts in developing state of the art AI models. With your team, you will initiate and drive new projects that advance the SOTA AI models for biology impacting drug discovery and clinical development. You will also have the chance to work closely with interdisciplinary experts with world-class biology, drug discovery, and clinical expertiseWe welcome candidates with diverse backgrounds and experiences. We welcome candidates across the spectrum of experience. Teams thrive when they are diverse (across all axes), and we encourage all eligible applicants to apply.

The role is open to the following locations: San Francisco Bay Area, Seattle and London.

Key Responsibilities

• Completed (or within one year of completing) a PhD in an AI or AI-adjacent field.
• Excited to work, learn and teach within a collaborative team working on challenging problems.

Desirable

Below is a list of qualities/experiences that align with the kinds of things that we are looking for. Please do not read this as an extension of the “requirements” section! We recognise that experiences, opportunities and life-paths vary.

• Publications in journals or ML conferences.
• Public codebases or contribution to public GitHub repositories.
• Industry experience in an AI company, such as an internship or full-time position.
• Knowledge or experience in BioAI.
• Experience building and training neural networks.
• Experience training models across multiple GPUs.

If you are a motivated individual with a passion for applying AI to advance drug discovery and improve human health, we encourage you to apply and join us in our mission to make a positive difference in the world.

Compensation

We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity. The base pay range for this position is expected to be $120,000 - $240,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.

Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

Who we are

The role

The day-to-day

• Architect and implement AWS GovCloud infrastructure that meets CMMC Level 2 requirements and prepares us for certification.

• Create, manage, and execute on a roadmap for adopting, modifying, and deploying Helsing's infrastructure patterns and developer tooling. Work with the Core Infra and DevX teams to adopt or create what makes sense for our specific needs.

• Maintain Terraform and IaC tooling, manage Kubernetes workload infrastructure for builds and AI training, and co-develop Python and Rust based developer tools.

• Improve developer productivity by leveraging existing tools and creating new ones. Support DevOps and MLOps workflows, complete with CI/CD automation and CLI tooling.

• Work with vendors, partners, and service providers to integrate third-party tooling while maintaining our security and compliance requirements.

• As a senior member, you will help interview, onboard, and mentor new engineers. Over time, you will contribute to the growth and culture of the infrastructure teams.

You should apply if you

• Have deep experience with AWS, including designing and operating production infrastructure at scale. Experience with AWS GovCloud, or creating compliant AWS infrastructure, is a significant plus

• Are proficient with Kubernetes and have familiarity with Cloud-Native Technologies, like Helm, ArgoCD, or Flux

• Have strong Infrastructure as Code skills, ideally with Terraform, and can design modular, maintainable infrastructure that evolves with compliance requirements

• Can write clean, maintainable code in Python, Rust, or similar languages to build internal tooling and automation

• Communicate effectively in both technical and compliance contexts and can explain architectural decisions to engineers and security posture to auditors

• Thrive in ambiguity and take ownership of outcomes. You don't wait for perfect requirements; you actively seek context, make pragmatic decisions, and iterate based on feedback

• Value operational excellence and understand that infrastructure reliability directly impacts mission success

• Feel that building technology in service of democratic values is meaningful work worth doing

• Can obtain a security clearance (Secret or Top Secret preferred)

• Are able to work in a hybrid environment in Washington, DC, with occasional travel to customer sites or European offices

Note: We operate in an industry where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarized in a few bullet points.

Nice to Have

• Experience with defense compliance frameworks such as CMMC Level 2, FedRAMP Moderate/High, NIST 800-171, or similar security standards

• Experience with MLOps platforms and infrastructure for training and serving machine learning models

• Familiarity with container security, supply chain security, and vulnerability management in production environments

• Understanding of ITAR restrictions and experience building infrastructure that respects export control requirements

• Experience working in air-gapped or disconnected environments

• Background in distributed systems, networking protocols, or embedded computing

• Prior experience in defense, aerospace, or other highly regulated industries

Join Helsing and work with world-leading experts in their fields 

• Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns

• The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world

• Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defense industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward

• In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts

• We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practice responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about

What we offer

• A focus on outcomes, not time-tracking

• A generous compensation and benefits package (in addition to base salary) that includes, but may not be limited to, insurance coverage (medical and travel), flexible paid time off, paid holidays, and remote and/or hybrid work available depending on position. All compensation and benefits are subject to the terms and conditions of the underlying plans or programs, as applicable and as may be amended, terminated or superseded from time to time.

Helsing is an Equal Opportunity Employer. We will consider all qualified applicants without regard to race, color, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, genetics, or any other characteristic protected by applicable federal, state, or local law.

This posting is for candidates who attended the DC SACC '26 and met with a member of our team.

It was great meeting you at the DC SACC 2026! Whether we chatted at our booth or during a session, we’re thrilled to connect with people who are passionate about pushing the boundaries of machine learning and AI.

At Scale AI, our mission is to develop reliable AI systems for the world’s most important decisions. Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. We’re currently growing our team across multiple roles.

If you're excited about the challenges we’re working on, drop your info here, and we’ll make sure someone from our team reaches out if there's a good fit with one of our open roles. Even if the timing isn’t quite right, we’d love to stay in touch.

We look forward to continuing the conversation! In the meantime, you can read more about our work at scale.com/public-sector.

The Senior Solutions Engineer Opportunity

Reporting to the Senior Manager of Solutions Engineers, the Sr Solutions Engineer (Corporate New Business) is a functional business consultant,  with a passion for technology and the advanced ability to develop, position and demonstrate product-specific solutions during sales cycles, while achieving quarterly and annual sales goals for an assigned territory. A background in software development and experience with developer-centric identity platforms (such as Auth0) can be particularly impactful, enabling you to deeply understand and articulate the value of Auth0 by Okta from a technical implementer's perspective.

What you’ll be doing 

• Work alongside the Corporate/New Business (employee size 300-1249) sales team as the technical and domain expert of a customer-facing sales team to help Customers understand the value of Okta’s solutions
• Understand customer challenges and business issues especially those faced by development and product teams - and provide product demonstrations to align our solutions with customer needs.
• Answer product features and technical questions from customers, partners and Okta colleagues.
• Plan and deliver Proof Of Concepts for customers who have more complex use cases, collaborating with other Okta engineering teams as needed. This will include scripting and coding to showcase Auth0’s capabilities.
• Provide feedback to product management about product enhancements that can address customer needs and provide additional value.
• Share and learn best practices and re-usable assets with other Solutions Engineers to enhance the quality and efficiency of the team.
• Stay current on competitive analysis and market differentiation.
• Support marketing events including executive briefings, conferences, user groups, and trade shows.
• At times, be asked to learn and lead your team as a subject matter expert (SME) with various product solutions and/or competitive knowledge.

What you’ll bring to the role

• 8+ years pre-sales engineering experience.
• A passion to serve the Customer, demonstrated in a customer-facing role, such as consulting or support, but ideally in a pre-sales capacity.
• An ability to quickly communicate complex ideas around a technical topic, ideally on the fly, using a whiteboard.
• Deployed apps in cloud platforms: AWS, Azure, GCP, Vercel, etc.
• Experience with at least one standard network security protocol. (eg. OAuth, OAuth2, SAML, LDAP)
• Experience working with REST APIs, API Gateways, and SDKs
• Hands-on experience in one or more of the following areas: web (JavaScript, HTML, frontend frameworks) development, mobile (iOS, Android) development, backend (Java, C#, Node.js, Python, PHP, Ruby) development, IP-based real-time communications.
• Leverage your software development background to effectively communicate with technical audiences, including developers, architects, and DevOps engineers, translating their requirements into robust solutions.
• An understanding of core security concerns within a typical application. (password hashing, SSL/TLS, encryption at rest, XSS, XSRF)
• Exceptional communicator.
• Confident dispensing knowledge to a highly skilled and experienced audience, presenting to large rooms filled with experts in the field
• Territory management skills, including pipeline building and working with Sales counterparts to guide execution excellence.
• Typically 25% travel.
• Bachelor's degree in Engineering, Computer Science, MIS or a comparable field is preferred.

You might also have (not mandatory):

• Hands-on experience with Generative AI or LLM technology such as LangChain, GenKit, LlamaIndex, etc.
• Experience integrating with microservices, data lakes, or customer data platforms.
• Developed ReBAC or Fine Grain Authorization models.
• Diagramming experience for user journey flows, complex architecture diagrams, etc.

Preferred Experience (bonus points):

• Trusted Advisor in your sales region (Area Sales Director and Area Vice President)
• Experience leading highly strategic technical sales plays, targeting new account acquisitions, or transferrable experiences preferred.
• Creation of reusable artifacts to be adopted by the presales and/or sales community.
• Publication of thought leadership documentation externally annually.
• Technical leader among peers and a mentor to help grow others in the segment.

LI#Remote

LI#CM

P7161_3396398

The Solutions Engineering Team
We believe Solutions Engineers at Okta are involved in all stages of the customer’s digital transformation. Solutions Engineers are experienced using presentations, email, phone and social media to connect with customers virtually and in-person. We are looking for great teammates who can build and deliver sales presentations and customized product demonstrations to help educate Okta’s Customers (everyone from developers to product managers to C-level executives) on best practices during their cloud security technology journey. We believe Okta’s Solutions Engineers empathize with Customers and quickly discern their true technical needs by asking detailed, clarifying questions while presenting solutions that specifically address those needs. Okta Solution Engineers have the rare combination of technical acumen and business insight; in a career where you can utilize both. As a Solutions Engineer at Okta, you will further develop each of these skills by advising a diverse set of customers on the value they will gain by using Okta’s Identity Platform.

The Solutions Engineer, Auth0 Opportunity
Reporting to the Sr. Manager, Solutions Engineering, Strategic Auth0, the Solutions Engineer is a functional business consultant, with a passion for technology and the advanced ability to develop, position and demonstrate product-specific solutions during sales cycles, while achieving quarterly and annual sales goals for an assigned territory.

What you’ll be doing

• Work alongside the sales team as the technical and domain expert of a customer-facing sales team to help Enterprise Customers understand the value of Okta’s solutions
• Understand customer challenges and business issues and provide product demonstrations to align our solutions with customer needs
• Answer product feature and technical questions from customers, partners and Okta colleagues
• Plan and deliver Proof Of Concepts for customers who have more complex use cases, collaborating with other Okta engineering teams as needed
• Provide feedback to product management about product enhancements that can address customer needs and provide additional value
• Share and learn best practices and re-usable assets with other Solutions Engineers to enhance the quality and efficiency of the team
• Stay current on competitive analysis and market differentiation
• Support marketing events including executive briefings, conferences, user groups, and trade shows
• At times, be asked to learn and lead your team as a subject matter expert (SME) with various product solutions and/or competitive knowledge

What you’ll bring to the role:

• Identity and Access Management (IAM) Expertise:
  • 5+ years of pre-sales engineering experience in IAM.
  • Strong understanding of IAM concepts, including OAuth 2.0, OIDC, and SAML.
  • Experience with lifecycle management, role-based access control (RBAC), and provisioning/deprovisioning.
• Technical Proficiency:
  • Hands-on experience in one or more of the following development areas: web (JavaScript, HTML, frontend frameworks), mobile (iOS, Android), backend (Java, C#, Node.js, Python, PHP, Ruby), or IP-based real-time communications.
  • Experience working with REST APIs, API Gateways, and SDKs.
  • Deployed applications on cloud platforms (AWS, Azure, GCP, Vercel, etc.).
  • Understanding of core security concerns in applications (password hashing, SSL/TLS, encryption at rest, XSS, XSRF).
• Customer Engagement & Communication:
  • Passion for serving customers, demonstrated in a customer-facing role (ideally pre-sales, but consulting or support also valued).
  • Ability to quickly communicate complex technical ideas, including on-the-fly whiteboard explanations.
  • Elite communication skills, confident in dispensing knowledge and presenting to highly skilled and experienced audiences.
• Strategic & Organizational Skills:
  • Territory management skills, including pipeline building and collaboration with sales counterparts for execution excellence.
  • Diagramming experience for user journey flows, complex architecture diagrams, etc.
• Education & Travel:
  • Bachelor's degree in Engineering, Computer Science, MIS, or a comparable field is preferred.
  • Typically 25% travel.

You might also have (not mandatory):

• Experience with Auth0, Auth0 FGA, or OpenFGA.
• Hands-on experience with Generative AI or LLM technology (LangChain, GenKit, LlamaIndex, etc.).
• Experience integrating with micro services, data lakes, or customer data platforms.
• Developed ReBAC or Fine-Grained Authorization models.

#LI-LSS1

#LI - Remote

P23532

Okta is seeking a highly proficient GEO Content Specialist to execute content-focused Generative Engine Optimization (GEO) strategies for Okta and Auth0. This is a mid-level individual contributor role focused on ensuring content is optimized for visibility and retrieval in the evolving landscape of AI Search/GEO/AEO. The ideal candidate is a reliable self-starter with a strong understanding of content, SEO, and the mechanisms of Large Language Models (LLMs).

Core Responsibilities & Execution

• Content Optimization:
• Execute the strategy for structuring and optimizing content to promote content retrievability by LLMs
• Develop and refine content blocks to be machine-parsable and aligned with semantic density and emerging AI answer formats.
• Understand how content must be shaped for LLM visibility and apply best practices while adhering to brand and quality standards.
• Identify opportunities by reviewing GEO prompt data, analyzing competitors, and thinking creatively about content needs for the business
• GEO Knowledge & Application:
• Maintain a working knowledge of how LLMs function, relevant KPIs, and content-related GEO best practices.
• Apply concepts such as vector embeddings, RAG, grounding, chunks, passages, and citations in daily content work.
• Stay current on industry changes related to GEO/AEO/AIO and the future of organic visibility.
• Data & Workflow:
• Utilize a data-driven approach to execute content tasks and identify content performance trends.
• Collaborate with Content and Digital Strategy teams to ensure optimized content is published effectively.
• Manage assigned content tasks effectively, meeting deadlines and quality standards.
• Leverage AI in content analysis, editing and production workstreams to improve efficiency and output

Qualifications

• 4+ years of professional experience in SEO, digital marketing, or content strategy, with a focus on content optimization and/or content development
• Understands how content is rewarded in both LLMs and modern-day search ranking algorithms (this position is not about traditional SEO keyword optimization)
• Familiarity with current GEO concepts and the role of LLMs in search
• Working knowledge of SEO/AI Search platforms such as SEMRush, BrightEdge, Ahrefs, Profound, and Google Search Console.
• Proficiency in data analysis and insights gathering for content output and performance tracking
• Strong communication skills, with the ability to articulate content requirements and results clearly
• Experience using Adobe Experience Manager (AEM) or a similar enterprise-level CMS.
• Background in the Identity and Access Management (IAM), B2B marketing, SAAS, or the cybersecurity domain is preferred, but not required.

#LI - Hybrid

#P24088_3363970

About the Internship:

The Enablement Communications Coordinator Intern will be a crucial support member for the Enablement Team. This role is essential for maintaining clear, consistent, and timely internal communications across the organization, specifically focusing on go-to-market and product enablement initiatives. The intern will be responsible for drafting communications, managing key internal support channels, and ensuring the smooth logistical execution of live enablement sessions for internal audiences. 

What You’ll Get to Do:

• Internal Communications: Drafting, editing, and scheduling internal enablement communications (e.g., newsletters, email announcements, Slack posts) related to new learning launches, training events, and resource availability.
• Channel Management: Monitoring and managing the "Ask Enablement" internal Slack channel, providing initial triage, answering common questions, and routing complex inquiries to the appropriate team members.
• Logistical Support: Providing pre-session, live, and post-session logistical support for enablement webinars, workshops, and training events, including setting up virtual meeting spaces, managing attendee registration, and distributing follow-up materials.
• Calendar Management: Maintain a calendar of events across the post sales’ teams to ensure visibility across all enablement business partners
• Feedback & Reporting: Gathering feedback on communication effectiveness and enablement session logistics, and assisting with basic reporting on channel activity and session attendance.

Who We are Looking For:

• Strong Written Communication: Ability to draft, edit, and proofread professional internal content including newsletters, Slack announcements, and email updates.
• Logistical Coordination: Proficiency in managing the end-to-end logistics for virtual events, such as setting up webinars, handling registrations, and distributing post-session materials.
• Technical & AI Proficiency: Comfort with internal communication tools (Slack, email) and virtual meeting platforms, combined with the ability to leverage generative AI to streamline content creation and workflow efficiency.
• Organizational Skills: High attention to detail for maintaining a cross-functional calendar of events and ensuring visibility across multiple post-sales teams.
• Data Collection & Reporting: Ability to gather feedback on communication effectiveness and compile basic reports on attendance and channel engagement.
• Time Management: Capability to manage multiple deadlines, from scheduling time-sensitive announcements to providing live support during training workshops.

You will thrive in this role if you love translating complex information into engaging stories, navigating the fast-paced energy of live event production, and proactively asking the right questions to turn ambiguity into a clear, actionable plan.

Okta’s Intern Program

As an intern, you’ll do real work that matters. While you’re on board, you’ll work on meaningful projects and have an opportunity to see what working at Okta is all about. You’ll also have the support of your mentor and manager to help you develop new skills. 

Our interns have the opportunity to build a strong community - with their fellow interns, within their teams, and with the broader company. We want you to grow professionally and you’ll do that through participating in events like our Executive Speaker Series and Brown Bags.  And of course, we want you to have fun, too. Our internship program includes exciting opportunities to connect with your cohort beyond the office through classic local outings like Cubs games and the Chicago Architecture Boat Tour.

#LI-Hybrid

P25065

ABOUT THE TEAM

Anduril’s Lattice software platform integrates together many sensors into a single cohesive view of the world, providing needed context for our users. AI Engineers on Anduril’s Frontier AI team build edge-compatible, generative AI systems into the Lattice software platform to provide features and products that improve autonomy and reduce cognitive burden on the warfighter. Specific applications include but are not limited to automating mission planning, battle-space understanding, voice-control of assets, and enabling higher-levels of autonomy. 

WHAT YOU'LL DO

• Distill and fine-tune transformer architectures so they can be deployed onto edge devices or compute denied environments
• Propose and prototype LLM-based Agentic systems that help solve real world problems, leveraging the latest state-of-the-art techniques in the field
• Develop and maintain mission relevant benchmarks
• Work cross-functionally with different business lines across Anduril to help discover and scope new research problems

REQUIRED QUALIFICATIONS

• BS in Computer Science, Machine Learning, Electrical Engineering, or related field
• 5+ years experience developing and benchmarking ML algorithms
• Experience pushing and maintaining ML algorithms in production
• Strong Python skills with experience in ML frameworks such as PyTorch
• Must be a U.S. Person due to required access to U.S. export controlled information or facilities

PREFERRED QUALIFICATIONS

• Experience fine-tuning transformer-based model
• Experience deploying deep-learning based models to edge devices or air gapped environments
• Prior experience in defense tech or start-up

We are seeking a Generative AI Chief Engineer Lead to drive innovations in autonomous vehicle technology using deep learning and reinforcement learning. In this dynamic role, you will design state-of-the-art algorithms and systems that enable safe, efficient, and intelligent autonomous capabilities. Today, employing mass quantities of autonomous robots requires heavy human oversight and execution. Anduril is leveraging AI approaches to improve effectiveness of autonomous missions, offload operator burden, and speed up execution via realtime monitoring, recommendations to users, and multi-modal interaction patterns. You will apply proven and un-proven approaches to create prototypes for expanding the capability of autonomous systems.

What You’ll Do

• Develop Advanced Agentic Software - Design and implement novel agent-based software systems to improve sensor perception, prediction, and decision-making for autonomous vehicles
• Apply Agentic Reasoning - Design and implement integrated agents and AI models to solve for end-user autonomous systems workflows.
• End-to-End System Integration - Collaborate with cross-functional teams to integrate research prototypes into robust, production-ready systems including simulation environments and real-world platforms.
• Research & Experimentation - Conduct research into reinforcement learning strategies and deep architectures, iterate on experimental designs, and evaluate performance using rigorous quantitative metrics.
• Data-Driven Innovation - Utilize real-world and synthetic data to enhance model robustness and generalization, leveraging scalable training pipelines on distributed systems.

Required Qualifications

• Sophisticated knowledge of LLM's with an understanding of how they work and how they're applied
• Solid experience with reinforcement learning methods and their application to autonomous systems.
• Proven experience of shipping products end to end
• Experience with simulation or real-world validation for autonomous vehicles is highly desirable.
• A degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience
• Eligible to obtain and maintain an active U.S. Top Secret security clearance
• Travel up to 40+% of time to build, test, and deploy capabilities in the real world

Preferred Qualifications

• PhD or Master’s degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience
• Novel application track record and experience including first author publications, participation in peer reviewed conferences, contribution to open source projects, and demonstrated contribution to the ML and AI community.
• Proven experience in deep learning research and development, particularly in generative AI. This includes diffusion models and autoregressive generative models.
• Experience in multi-modal sensor data processing (e.g., cameras, LiDAR, radar).
• Familiarity with ML Ops best practices, including model versioning and reproducible research pipelines.
• Strong programming skills in Python and familiarity with C/C++ is a plus.
• General software engineering experience solving motion planning or related robotics problems.

We are seeking a Generative AI Chief Engineering Lead to drive innovations in autonomous vehicle technology using deep learning and reinforcement learning. In this dynamic role, you will design state-of-the-art algorithms and systems that enable safe, efficient, and intelligent autonomous capabilities. Today, employing mass quantities of autonomous robots requires heavy human oversight and execution. Anduril is leveraging AI approaches to improve effectiveness of autonomous missions, offload operator burden, and speed up execution via realtime monitoring, recommendations to users, and multi-modal interaction patterns. You will apply proven and un-proven approaches to create prototypes for expanding the capability of autonomous systems.

What You’ll Do

• Develop Advanced Agentic Software - Design and implement novel agent-based software systems to improve sensor perception, prediction, and decision-making for autonomous vehicles
• Apply Agentic Reasoning - Design and implement integrated agents and AI models to solve for end-user autonomous systems workflows.
• End-to-End System Integration - Collaborate with cross-functional teams to integrate research prototypes into robust, production-ready systems including simulation environments and real-world platforms.
• Research & Experimentation - Conduct research into reinforcement learning strategies and deep architectures, iterate on experimental designs, and evaluate performance using rigorous quantitative metrics.
• Data-Driven Innovation - Utilize real-world and synthetic data to enhance model robustness and generalization, leveraging scalable training pipelines on distributed systems.

Required Qualifications

• Sophisticated knowledge of LLM's with an understanding of how they work and how they're applied
• Solid experience with reinforcement learning methods and their application to autonomous systems.
• Proven experience of shipping products end to end
• Experience with simulation or real-world validation for autonomous vehicles is highly desirable.
• A degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience
• Eligible to obtain and maintain an active U.S. Top Secret security clearance
• Travel up to 40+% of time to build, test, and deploy capabilities in the real world

Preferred Qualifications

• PhD or Master’s degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience
• Novel application track record and experience including first author publications, participation in peer reviewed conferences, contribution to open source projects, and demonstrated contribution to the ML and AI community.
• Proven experience in deep learning research and development, particularly in generative AI. This includes diffusion models and autoregressive generative models.
• Experience in multi-modal sensor data processing (e.g., cameras, LiDAR, radar).
• Familiarity with ML Ops best practices, including model versioning and reproducible research pipelines.
• Strong programming skills in Python and familiarity with C/C++ is a plus.
• General software engineering experience solving motion planning or related robotics problems.

We are seeking a AI Chief Engineering Lead to drive innovations in autonomous vehicle technology using deep learning and reinforcement learning. In this dynamic role, you will design state-of-the-art algorithms and systems that enable safe, efficient, and intelligent autonomous capabilities. Today, employing mass quantities of autonomous robots requires heavy human oversight and execution. Anduril is leveraging AI approaches to improve effectiveness of autonomous missions, offload operator burden, and speed up execution via realtime monitoring, recommendations to users, and multi-modal interaction patterns. You will apply proven and un-proven approaches to create prototypes for expanding the capability of autonomous systems.

What You’ll Do

• Develop Advanced Agentic Software - Design and implement novel agent-based software systems to improve sensor perception, prediction, and decision-making for autonomous vehicles
• Apply Agentic Reasoning - Design and implement integrated agents and AI models to solve for end-user autonomous systems workflows.
• End-to-End System Integration - Collaborate with cross-functional teams to integrate research prototypes into robust, production-ready systems including simulation environments and real-world platforms.
• Research & Experimentation - Conduct research into reinforcement learning strategies and deep architectures, iterate on experimental designs, and evaluate performance using rigorous quantitative metrics.
• Data-Driven Innovation - Utilize real-world and synthetic data to enhance model robustness and generalization, leveraging scalable training pipelines on distributed systems.

Required Qualifications

• Sophisticated knowledge of LLM's with an understanding of how they work and how they're applied
• Solid experience with reinforcement learning methods and their application to autonomous systems.
• Proven experience of shipping products end to end
• Experience with simulation or real-world validation for autonomous vehicles is highly desirable.
• A degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience
• Eligible to obtain and maintain an active U.S. Top Secret security clearance
• Travel up to 40+% of time to build, test, and deploy capabilities in the real world

Preferred Qualifications

• PhD or Master’s degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience
• Novel application track record and experience including first author publications, participation in peer reviewed conferences, contribution to open source projects, and demonstrated contribution to the ML and AI community.
• Proven experience in deep learning research and development, particularly in generative AI. This includes diffusion models and autoregressive generative models.
• Experience in multi-modal sensor data processing (e.g., cameras, LiDAR, radar).
• Familiarity with ML Ops best practices, including model versioning and reproducible research pipelines.
• Strong programming skills in Python and familiarity with C/C++ is a plus.

Who we are

The role

The day-to-day

• Lead the stand-up and scaling of US manufacturing operations, establishing production lines, workflows, quality systems, and facility infrastructure 

• Develop and execute the production strategy aligned with program milestones, government contract deliverables, and company growth objectives 

• Implement production processes for AI-enabled hardware systems, ensuring repeatability, quality, and compliance with defense manufacturing standards 

• Build, mentor, and scale a high-performing production team — including manufacturing engineers, technicians, quality inspectors, and production planners — capable of supporting rapid growth 

• Partner cross-functionally with Engineering, Supply Chain, Program Management, Contracts, and Finance to ensure production alignment on government contracts 

• Establish and manage quality management systems (QMS) compliant with AS9100, ISO 9001, and applicable DoD manufacturing requirements 

• Own production KPIs and reporting, including yield, throughput, cost-per-unit, on-time delivery, and defect rates, and present board-level updates that drive executive decision-making 

• Collaborate with the supply chain and procurement teams to design cost-efficient sourcing strategies that satisfy federal and/or state procurement requirements, including managing tariff exposure on imported goods and materials  

• Ensure full compliance with SSA governance requirements, maintaining appropriate separation protocols while optimizing production operations across the organization  

• Drive continuous improvement initiatives using Lean Manufacturing, Six Sigma, or similar methodologies to reduce waste, improve cycle times, and increase production capacity 

• Manage relationships with contract manufacturers, tooling vendors, and facility partners to supplement and scale internal production capabilities 

• Support CAPEX planning and facility buildout in partnership with Finance, ensuring sound investment frameworks for equipment, tooling, and infrastructure  

• Ensure workplace safety and regulatory compliance across all production environments, including OSHA, environmental, and cleared facility requirements 

You should apply if you

• You have 10+ years of progressive manufacturing/production experience, with at least 3 years in a leadership role overseeing production operations 

• You've operated within the Automotive, Aerospace, Defense, or National Security technology sector and understand the nuances of government contract deliverables, ITAR/EAR, and defense manufacturing requirements 

• You've built or scaled production functions at a startup or high-growth company and know how to balance scrappiness with rigor  

• You have experience standing up manufacturing lines from greenfield or near-greenfield conditions, including facility layout, equipment selection, and workforce planning 

• You possess a strong command of production planning, capacity modeling, and resource allocation strategies 

• You have demonstrated experience with quality management systems (AS9100, ISO 9001, or equivalent) and continuous improvement methodologies 

• You communicate complex operational concepts with clarity and influence to technical and non-technical stakeholders alike  

• You're energized by ambiguity, thrive under pressure, and are motivated by mission-driven work 
• Ability to be granted and maintain a SECRET clearance, including US Citizenship. 

Note: We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarized in a few bullet points. 

Nice to Have

• Direct experience working under a Special Security Agreement (SSA) or Proxy Agreement structure with a foreign-owned parent company 

• Background working with cleared facilities, FOCI mitigation, and DSS/DCSA interactions 

• Familiarity with FAR/DFARS manufacturing and quality clauses, DCMA oversight, and first article testing (FAT) requirements 

• Experience with hardware production for autonomous systems, edge computing platforms, drones/UAS, or electronic warfare systems 

• Proficiency with ERP/MRP systems (Deltek Costpoint, NetSuite, SAP, or similar) and production management tools 

• Lean Six Sigma Black Belt or Green Belt certification 

• Experience managing ITAR-controlled production environments 

• Engineering degree (Mechanical, Industrial, Manufacturing, or Electrical) or MBA with a production/operations focus 

• Active or current SECRET or above clearance 

Join Helsing and work with world-leading experts in their fields 

• Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns

• The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world

• Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defense industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward

• In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts

• We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practice responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about

What we offer

• A focus on outcomes, not time-tracking

• A generous compensation and benefits package (in addition to base salary) that includes, but may not be limited to, insurance coverage (medical and travel), flexible paid time off, paid holidays, and remote and/or hybrid work available depending on position. All compensation and benefits are subject to the terms and conditions of the underlying plans or programs, as applicable and as may be amended, terminated or superseded from time to time.

• Growth toward global roles in our Finance organization

The base salary offered to the successful candidate will be determined by a variety of factors including relevant experience, qualifications, education, skill level, interview performance, and the level and scope of the position.   

Helsing is an Equal Opportunity Employer. We will consider all qualified applicants without regard to race, color, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, genetics, or any other characteristic protected by applicable federal, state, or local law.  Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

Who we are

The role

The day-to-day

• Cloud Infrastructure Security Design: Architect and implement secure cloud infrastructure, ensuring compliance with industry-standard security frameworks (NIST, CIS Benchmarks, ISO 27001).

• Security Automation & DevSecOps: Utilize Infrastructure as Code (IaC) tools like Terraform or CloudFormation to automate security configurations and embed security scanning (SAST/DAST/IaC scanning) into CI/CD pipelines.

• Continuous Monitoring & Analysis: Monitor, analyze, and interpret logs (AWS CloudTrail, Azure Monitor) for signs of suspicious activity, utilizing SIEM systems (Splunk, Elastic) and CSPM tools (Wiz, Prisma).

• Threat Detection & Incident Response: Investigate and respond to security incidents, performing forensic analysis on cloud-native services (containers, serverless functions) to mitigate threats.

• Identity & Access Management (IAM): Design and manage zero-trust IAM policies, role-based access controls (RBAC), and multi-factor authentication (MFA) to prevent unauthorized access.

• Vulnerability Management: Perform regular penetration testing, vulnerability scanning, and configuration audits of virtual machines, containers, applications, and network components.

• Security Policy Enforcement: Develop and document cloud security policies, ensuring adherence to regulatory requirements (NIST, HIPAA, PCI-DSS).

You should apply if you

• Possess 3–5+ years in cybersecurity, with at least 2+ years of hands-on experience in cloud infrastructure security (AWS, Azure, or GCP)

• Have proficiency in native security tools (e.g., AWS Security Hub, Azure Defender, GuardDuty) and third-party tools (e.g., Wiz, Snyk, Palo Alto)

• Have strong scripting capabilities (Python, Bash, or PowerShell) for automation of security tasks

• Possess deep knowledge of Terraform, Ansible, or CloudFormation

• Have a thorough understanding of networking protocols (TCP/IP, VPN, DNS, TLS) and virtual networking (VPCs, Subnets, Firewalls)

• Demonstrate proven experience in log analysis, threat modeling, and root cause investigation

Note: We operate in an industry where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarized in a few bullet points.

Nice to Have

• Certifications: Certified Cloud Security Professional (CCSP), Certified Information Systems Security Professional (CISSP), AWS Certified Security – Specialty, or Azure Security Engineer Associate

• Education: Bachelor’s degree in Computer Science, Information Security, or a related field

• Frameworks: In-depth knowledge of NIST CSF, NIST 800-53, FedRAMP, or CMMC

Join Helsing and work with world-leading experts in their fields 

• Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns

• The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world

• Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defense industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward

• In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts

• We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practice responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about

What we offer

• A focus on outcomes, not time-tracking

• A generous compensation and benefits package (in addition to base salary) that includes, but may not be limited to, insurance coverage (medical and travel), flexible paid time off, paid holidays, and remote and/or hybrid work available depending on position. All compensation and benefits are subject to the terms and conditions of the underlying plans or programs, as applicable and as may be amended, terminated or superseded from time to time.

The actual base salary offered to the successful candidate will be determined by a variety of factors including relevant experience, qualifications, education, skill level, interview performance, and the level and scope of the position. 

Helsing is an Equal Opportunity Employer. We will consider all qualified applicants without regard to race, color, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, genetics, or any other characteristic protected by applicable federal, state, or local law.

Who we are

The role

The day-to-day

• Configuring and operating endpoints, including workstations, laptops and servers

• Supporting an office of about 10-25 employees

• Setting up and maintaining on-prem computer environments built on Linux

• Configuring and operating our network and VPN infrastructure 

• Partnering with Helsing's broader IT team on the operation and continuous optimization of Helsing US’s corporate, development, and customer environments, built primarily using Microsoft 365 and Azure alongside other SaaS solutions

You should apply if you

• Have 5+ years of experience in IT infrastructure and information security (ideally in the defense industry) 

• Have experience in an IT engineering or SysAdmin role, particularly working with macOS, clients, AWS Cloud environments, Linux servers, and capabilities like Kubernetes

• Have managed modern network infrastructure, ideally including administration of network- and host-based security tools

• Employ strong problem-solving, critical thinking, and analytical skills combined with the ability to find creative solutions

• Your personal values match ours: ownership, initiative, dedication to mission, speed and inclusiveness    

• Are collaborative, humble, intellectually curious, and driven to solve hard problems 

• Hold a current security clearance (ideally Top Secret)

• Feel strongly about the right of democracies to defend their sovereignty through the fielding of capabilities that bolster deterrence and decisive action

Note: We operate in an industry where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarized in a few bullet points.

Nice to Have

• Experience working with the Microsoft M365 stack

• Experience working with SIEM stacks

• Experience working with Mobile Device Management tools like Intune, Jamf, or JumpCloud

• Experience working with PowerShell, Python, or IaC tooling

• Information security expertise, especially related to regulations specific to CMMC and ITAR

Join Helsing and work with world-leading experts in their fields 

• Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns.

• The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world.

• Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defense industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward.

• In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.

• We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practice responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about.

What we offer

• A focus on outcomes, not time-tracking

• A generous compensation and benefits package (in addition to base salary) that includes, but may not be limited to, insurance coverage (medical and travel), flexible paid time off, paid holidays, and remote and/or hybrid work available depending on position. All compensation and benefits are subject to the terms and conditions of the underlying plans or programs, as applicable and as may be amended, terminated or superseded from time to time.

Helsing is an Equal Opportunity Employer. We will consider all qualified applicants without regard to race, color, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, genetics, or any other characteristic protected by applicable federal, state, or local law.

Who we are

The role

The day-to-day

• Serve as the Facility Security Officer (FSO) for Helsing's US subsidiary, maintaining full compliance with NISPOM (32 CFR Part 117), DCSA requirements, and all obligations under the company's Special Security Agreement (SSA) 
• Own and manage all aspects of facilities security, including physical security plans, access controls, intrusion detection systems, and classified space (SCIF/SAPF) accreditation and operations 
• Lead the organization's Cybersecurity Maturity Model Certification (CMMC) readiness and compliance efforts, partnering cross-functionally with IT, engineering, and program teams to achieve and maintain required certification levels 
• Manage the COMSEC program end-to-end, including account management, key material handling, destruction, and coordination with controlling authorities 
• Ensure full compliance with SSA governance requirements, maintaining appropriate separation protocols, Technology Control Plans (TCPs), and Electronic Communications Plans (ECPs) while enabling operational efficiency across the organization 
• Administer personnel security processes including clearance sponsorship, processing, briefings, debriefings, and continuous vetting monitoring through DISS and related systems 
• Develop and deliver a robust security education, training, and awareness (SETA) program that builds a culture of security consciousness across all levels of the organization 
• Serve as the primary liaison to the Defense Counterintelligence and Security Agency (DCSA), the SSA Government Security Committee (GSC), and other cognizant security authorities 
• Partner with executive leadership and the Board of Directors to ensure security operations are aligned with strategic growth objectives, including facility expansions and new program captures 
• Manage classified material control, visitor control programs, and subcontractor security administration 
• Lead incident reporting, security violation investigations, and corrective action implementation 
• Build, mentor, and scale a high-performing security team capable of supporting rapid organizational growth and evolving program requirements 

You should apply if you

• You have 8+ years of progressive industrial security experience, with at least 3 years managing security programs at a cleared defense contractor facility 
• You've operated within a FOCI-mitigated environment—ideally under a Special Security Agreement (SSA) or Proxy Agreement—and understand the governance, reporting, and separation requirements that come with it 
• You hold or have held FSO certification (FSO Program Management for Possessing Facilities) and have hands-on experience with DCSA inspections and assessments 
• You have demonstrated experience standing up or managing CMMC compliance programs, with a strong understanding of NIST 800-171 controls and the CMMC assessment framework 
• You've managed a COMSEC account and are familiar with NSA policies, key material lifecycle management, and associated reporting obligations 
• You possess a working knowledge of NISPOM, ICDs, DoD Manual 5205.07 (SAP security), and related security directives 
• You communicate complex security requirements with clarity and influence to technical, operational, and executive stakeholders alike 
• You're energized by ambiguity, thrive under pressure, and are motivated by mission-driven work that has real-world consequences 

Note: We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarized in a few bullet points. 

Nice to Have

• CMMC Certified Professional (CCP) or CMMC Certified Assessor (CCA) credential 
• Familiarity with ITAR/EAR export control compliance and the management of Technology Control Plans in a FOCI environment 
• Background in supporting classified manufacturing or hardware production environments 
• Experience with security management tools such as SIMS, DISS, NISS, and e-FCL 
• Insider Threat Program (ITP) management experience, including compliance with NISPOM Change 2 requirements 

Join Helsing and work with world-leading experts in their fields 

• Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns

• The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world

• Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defense industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward

• In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts

• We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practice responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about

What we offer

• A focus on outcomes, not time-tracking

• A generous compensation and benefits package (in addition to base salary) that includes, but may not be limited to, insurance coverage (medical and travel), flexible paid time off, paid holidays, and remote and/or hybrid work available depending on position. All compensation and benefits are subject to the terms and conditions of the underlying plans or programs, as applicable and as may be amended, terminated or superseded from time to time.

The base salary offered to the successful candidate will be determined by a variety of factors including relevant experience, qualifications, education, skill level, interview performance, and the level and scope of the position.   

Helsing is an Equal Opportunity Employer. We will consider all qualified applicants without regard to race, color, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, genetics, or any other characteristic protected by applicable federal, state, or local law.  Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

Who we are

The role

The day-to-day

• Lead all financial planning, budgeting, forecasting, and cash flow management to support rapid scaling and strategic objectives for the US Subsidiary of Helsing 
• Work with the Global Finance team to design scalable processes the foster connectivity and alignment between geographies  
• Develop and present financial analyses, KPIs, and board-level reporting that drive executive decision-making and investor confidence 
• Ensure full compliance with SSA governance requirements, maintaining appropriate separation protocols while optimizing financial operations across the organization 
• Lead the identification and capture of federal, state, and local incentives tied to manufacturing CAPEX and OPEX—including accelerated depreciation, R&D credits, and NOL strategies 
• Partner with technical and procurement teams to design cost-efficient U.S. supply chain, intercompany, and contracting structures that satisfy federal and/or state procurement requirements, while developing strategies to recover or minimize tariff exposure on imported goods and materials 
• Serve as the financial lead for U.S. manufacturing stand-up, establishing sound CAPEX/OPEX, procurement, and intercompany frameworks from inception 
• Build, mentor, and scale a high-performing finance team capable of supporting our growth trajectory 
• Partner cross-functionally with Operations, Contracts, and Program Management to ensure financial alignment on government and commercial contracts 
• Manage relationships with external auditors, tax advisors, and banking partners; oversee annual audits and regulatory filings 
• Support M&A activities including due diligence, financial modeling, integration planning, and post-acquisition optimization 

You should apply if you

• You have 10+ years of progressive finance experience, with at least 3 years in a leadership role 
• You have built processes and systems from scratch  
• You've operated within the Defense, Aerospace, or National Security technology sector and understand the nuances of government contracting 
• Prior experience reporting to a Board of Directors or foreign parent company stakeholders under governance constraints 
• You've built or scaled finance functions at a startup or high-growth company and know how to balance scrappiness with rigor 
• You possess strong command of financial modeling, scenario planning, and capital allocation strategies 
• You communicate complex financial concepts with clarity and influence to technical and non-technical stakeholders alike 
• You're energized by ambiguity, thrive under pressure, and are motivated by mission-driven work 

Note: We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarized in a few bullet points. 

Nice to Have

• M&A transaction experience (buy-side or sell-side), including financial due diligence, integration, and synergy realization 
• CPA, CFA, or MBA from a top-tier program 
• Familiarity with FAR/DFARS, DCAA audit requirements, and incurred cost submissions 
• Background working with cleared facilities, FOCI mitigation, and DSS/DCSA interactions 
• Proficiency with ERP systems (NetSuite, Deltek Costpoint, or similar) and FP&A tools 
• You have direct experience working under a Special Security Agreement (SSA) or Proxy Agreement structure with a foreign-owned parent company 

Join Helsing and work with world-leading experts in their fields 

• Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns

• The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world

• Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defense industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward

• In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts

• We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practice responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about

What we offer

• A focus on outcomes, not time-tracking

• A generous compensation and benefits package (in addition to base salary) that includes, but may not be limited to, insurance coverage (medical and travel), flexible paid time off, paid holidays, and remote and/or hybrid work available depending on position. All compensation and benefits are subject to the terms and conditions of the underlying plans or programs, as applicable and as may be amended, terminated or superseded from time to time.

• Growth toward global roles in our Finance organization

The base salary offered to the successful candidate will be determined by a variety of factors including relevant experience, qualifications, education, skill level, interview performance, and the level and scope of the position.   

Helsing is an Equal Opportunity Employer. We will consider all qualified applicants without regard to race, color, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, genetics, or any other characteristic protected by applicable federal, state, or local law.  Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

The Senior Principal Customer Success Manager is aligned at the customers' key stakeholder level, building and fostering strong relationships to help customers accelerate their digital journey. The ideal candidate possesses the below qualifications and is willing to travel up to 25% of their time for in-person customer meetings. Customer Success Managers are working directly with customers that can vary in their market segment, size, solution complexity and life cycle, depending on the customers needs.

Responsibilities:

• Build and foster executive-level trusted advisor relationships with the customers’ IT, Engineering and Support organizations.
• Demonstrates hands-on PagerDuty Product knowledge by applying it to the customer's business priorities.
• Guide a customer on process, people and change management best practices to drive customers adoption of real time operations.
• Proactively identify risks to the customer achieving their stated business goals and work with the sales team to build a risk mitigation plan.
• Produce and execute a comprehensive adoption path of PagerDuty products, showing the current state, target future state with timeline.
• Deliver business value and innovation to a customer’s business by understanding the customers’ opportunity to reduce cost and drive growth.
• When appropriate, recommend additional expert services needed to drive success.
• Proactively communicate technical product changes, degradations, outages, end of life and other relevant updates.
• Represent the voice of the customer to inform our sales process or product roadmap.
• Lead the cross functional post sales team at PagerDuty, delivering a seamless experience on behalf of the customer.
• Prepare and facilitate business review meetings, training sessions, webinars, demos, and other strategic and supportive interactions.
• Predict and forecast risk, renewal and expansion within the customer portfolio.

Basic Qualifications:

• 8-10 years of relevant customer-facing experience and a demonstrated track record of success
• Proficiency in developing comprehensive business value ROI models, with an ability to drive strategic decision-making and deliver tangible results
• In-depth expertise in the Public Sector and SaaS business models, including a strong understanding of market trends, competitive landscapes, and customer needs
• Strong understanding of IT enterprise architecture, DevOps principles and modern IT monitoring 

Preferred Qualifications:

• Strong consulting skills and proven results working as a trusted advisor to drive business value for customers.
• Knowledge of PagerDuty products and platform features/capabilities 
• Thrive in a collaborative fast pace environment and as a part of a results oriented team.
• Ability to drive effective and influencing conversations at the C-level; facilitation of difficult discussions and adept at handling objections.
• Worked in a DevOps environment or with a company going through a transition to DevOps.

The base salary range for this position is $112,000 - $154,900 USD. This role may also be eligible for bonus, commission, equity, and/or benefits.

Our base salary ranges are determined by role, level, and location. The range, which is subject to change based on primary work location, reflects the minimum and maximum base salary we expect to pay newly hired employees for the position. Within the range, we determine pay for an individual based on a number of factors including market location, job-related knowledge, skills/competencies and experience.

Your recruiter can share more about the specific offerings for this role, as well as the salary range for your primary work location during the hiring process.

About the role

Anthropic's Integrity & Compliance (I&C) function is building the systems that let us scale responsibly as our products reach more people, more enterprises, and more regulated industries. Our global compliance program is bespoke, reflecting our unique mission and position as one of the leading AI labs operating on the frontier.

Our Regulatory Programs pillar is a key pillar of our overall Integrity & Compliance function and covers a range of compliance domain areas including economic sanctions, US export controls, and regulatory compliance programs stemming from global AI safety regulation.

As a Content Moderation Specialist, you'll own day-to-day program management of Anthropic's global content moderation and online safety regulatory compliance program. Online safety regulation is one of the fastest-moving areas of technology law, and AI sits squarely in its sights. Regimes including the EU Digital Services Act, the UK Online Safety Act, the Australia Online Safety Act, and a growing set of emerging frameworks globally create novel obligations for how AI products are built, deployed, and governed. You will be at the forefront of translating those obligations into a defensible, well-documented compliance program — with regulatory risk assessments as the core of the work.

This is a deeply cross-functional role. You'll partner closely with internal counsel, Safeguards, and operations teams across Anthropic to build the compliance program and frameworks that demonstrate Anthropic meets its obligations under content regulation. This is a builder's role at a company that takes integrity seriously and moves fast — you'll exercise independent judgment on issues without clear precedent and help build durable programs that let Anthropic move quickly while honoring its obligations to regulators, customers, and the public.

Key responsibilities

• Own the global content regulation risk assessment program, including the roadmap of required assessments across jurisdictions, a consistent and repeatable risk assessment methodology and framework, and the coordination of inputs, consultation, and approvals for each assessment

• Build and maintain systems and trackers to assess, operationalize, and report on relevant regulatory requirements across Anthropic's products and jurisdictions

• Partner with internal counsel, Safeguards, Policy, engineering, and operations teams to align internal practices with external commitments and legal obligations

• Maintain a controls inventory and the compliance documentation library for content regulation, ensuring documentation is drafted, reviewed by the right stakeholders, and kept current

• Conduct gap analysis when new or amended content regulations come into scope, and stand up the compliance readiness plan and workback for each

• Provide regular written program status reporting to stakeholders and leadership, proactively surfacing stalled or at-risk items with a proposed path to unblock

• Take on additional related work as the program evolves; job duties and responsibilities may change from time to time at Anthropic's discretion or as required by applicable law

Minimum qualifications

• Experience managing regulatory or compliance programs at a technology company or in a regulated industry

• Hands-on experience conducting or program-managing regulatory risk assessments, including coordinating inputs across multiple functions

• Demonstrated ability to build and maintain compliance program artifacts, including policies, risk assessment documentation, controls inventories, program trackers, and readiness plans

• A track record of executing cross-functionally, driving outcomes across legal, product, policy, and operations partners without direct authority

• Excellent written and verbal communication skills, including producing clear program documentation and status reporting for senior stakeholders

• Sound judgment and the ability to make decisions and move work forward with incomplete information in an evolving regulatory environment

Preferred qualifications

• 5+ years of relevant experience in regulatory program management or content moderation compliance

• Direct experience with online safety or content moderation regulation, such as the EU Digital Services Act, UK Online Safety Act, Australia Online Safety Act, or comparable regimes (strongly preferred)

• Experience in trust and safety, online safety, or regulatory compliance at a large consumer technology platform

• Prior experience in a Big 4 or other professional services firm advising on content regulation, online safety, or platform compliance engagements

• Experience designing risk assessment methodologies or compliance frameworks from first principles

• Experience with multi-jurisdictional compliance programs in a rapidly scaling environment

• Familiarity with how generative AI products intersect with content and online safety regulation

Role-specific policy: For this role, we expect staff to be able to work from either our Washington, DC, San Francisco, or New York City office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time.

Scale AI is at the forefront of the AI revolution, helping the U.S. government unlock the potential of AI across national security missions. We’re building enterprise-grade generative AI solutions and delivering them into operational use cases that matter.

We’re hiring an engagement manager (EM) to lead and coordinate delivery of agentic workflows for a national security customer. As an EM on our public sector delivery team, you will own or support a large account plan, manage day-to-day execution for customers, and ensure an incredible customer experience. This role is ideal for someone who blends program leadership, customer relationship building, technical fluency, and contract awareness — and who thrives in fast-moving, ambiguous, and mission-driven environments.

You will:

• Manage customer relationships from the executive to the end user
• Work alongside customers to scope agentic workflow use cases that Scale’s engineering team will build and you will ultimately refine
• Lead a cross-functional project team to deliver on and exceed the customer's AI/ML objectives
• Lead with a “whatever-it-takes” mentality, proactively identifying customer needs and operator pain points to ensure customer success
• Oversee onboarding and successful implementation of customer accounts

We have a diverse team with a variety of skill sets, many have:

• A technical background (education or professional experience with computer science, economics, statistics, engineering)
• A proven track record in B2B client-facing roles and expanding client relationships
• Prior experience owning the technical implementation of solutions to the government 

Must haves:

• An active TS/SCI clearance
• 5+ years of work experience succeeding in stakeholder management or a customer-facing role delivering enterprise-scale applications / solutions
• A track record of structured, analytics-driven problem solving
• Excellent verbal and written communication skills
• Willingness to be onsite with customers 4+ days per week in the Suffolk, VA area with occasional travel (less than 25%) to Scale’s DC office

We have a diverse team with a variety of skill sets, many have:

• 10+ years of professional experience, often in a customer-facing technical program management role in industry or government
• Prior experience at an API technology company and / or managing technical customers using an API
• A technical degree in computer science, engineering, or related field
• Proficiency in Python, SQL or other programming languages
• Domain expertise in a relevant field (e.g. modeling and simulation, joint planning processes, intelligence workflows, etc)

Scale AI is at the forefront of the AI revolution, helping the U.S. government unlock the potential of AI across national security missions. We’re building enterprise-grade generative AI solutions and delivering them into operational use cases that matter.

We’re hiring an engagement manager (EM) to lead and coordinate delivery of agentic workflows for a national security customer. As an EM on our public sector delivery team, you will own or support a large account plan, manage day-to-day execution for customers, and ensure an incredible customer experience. This role is ideal for someone who blends program leadership, customer relationship building, technical fluency, and contract awareness — and who thrives in fast-moving, ambiguous, and mission-driven environments.

You will:

• Manage customer relationships from the executive to the end user
• Work alongside customers to scope agentic workflow use cases that Scale’s engineering team will build and you will ultimately refine
• Lead or support a cross-functional project team to deliver on and exceed the customer's AI/ML objectives
• Lead with a “whatever-it-takes” mentality, proactively identifying customer needs and operator pain points to ensure customer success
• Oversee onboarding and successful implementation of customer accounts

We have a diverse team with a variety of skill sets, many have:

• A technical background (education or professional experience with computer science, economics, statistics, engineering)
• A proven track record in B2B client-facing roles and expanding client relationships
• Prior experience owning the technical implementation of solutions to the government 

Must haves:

• An active TS/SCI clearance
• 3+ years of work experience succeeding in stakeholder management or a customer-facing role delivering enterprise-scale applications / solutions
• A track record of structured, analytics-driven problem solving
• Excellent verbal and written communication skills
• Willingness to be onsite with customers up to 4 days per week in the DMV area and / or prepared to travel a minimum of 25%

Scale is a vital part of bringing AI-enabled technologies to the world, from autonomous driving to drones, robots, and large language models. For example, Scale works with the world's top self-driving car and robotics ML teams as well as the largest companies in the generative AI space. 

As our customer base is growing, you will be on the front lines of our field engineering efforts for our federal AI projects, having the opportunity to meaningfully impact millions of dollars in revenue by working closely with our largest public sector customers and ensuring that they become passionate, lifelong Scale customers.

Our Field Engineers ensure customers' experiences with Scale's technology are seamless and optimized to build a successful, long-term partnership. Field Engineers partner closely with Product, Engineering, and Operations to lead existing customers through building production-grade data pipelines. We do this by knowing our customer’s use-cases inside and out, and creating the tooling and documentation needed to scalably support their growth.

Field Engineers in general are experts on Scale's products and codebase, and have general technical knowledge on web development, using APIs, and working with large volumes of data. Field Engineers are strong relationship builders, great project managers, and always fun to work with. 

The ideal person is a software engineer generalist who enjoys working with clients directly, taking ambiguous requirements and issues, and quickly designing and building sustainable solutions in close collaboration with the Product and Engineering teams. This role is at the intersection of customer delivery, product, and engineering, giving you a breadth of experience and fully leveraging both sides of your brain. If this sounds like you, we invite you to apply!

You will:

• Implement end-to-end data integrations, syncing customer’s data to Scale’s platform and back
• Work closely with our customer’s engineering teams to optimize data pipelines, including providing input towards designing API endpoints and input/output schemas
• Design, develop and maintain playbooks, internal tools, Scale’s documentation and SDKs to quickly get customers set up for long-term success
• Partner with Software Engineers and Operations to remove any technical hurdles customers may face / Debug technical issues impacting delivery and own technical escalations coming from the customer
• Be accountable for the customer’s technical experience throughout their time with Scale
• Work with AEs and PMs to identify customer-specific feature requests
• Develop technical domain expertise in areas of Large Language Models, 2D Image Annotation, and working with API integrations
• Evangelize Scale and interact with customers at major events
• Have an active TS/SCI clearance

Ideally you'd have:

• Track record of success as a hybrid customer-facing engineer or similar function, wearing multiple hats along the way
• Prior technical hands-on experience working with clients in a pre or post-sales capacity to realize business goals
• Prior experience developing with Python and JavaScript, or other modern software languages
• Strong engineering background preferably in Computer Science, Mathematics, or other quantitative fields
• Strong project management and interpersonal skills
• Presentation skills with a high degree of technical credibility when speaking with executives and front-line engineers
• High level of comfort communicating effectively across internal and external organizations
• Intellectual curiosity, empathy, and ability to operate with high velocity

Nice to haves:

• Experience in AI
• Experience working in classified environments
• Previous experience as a technical go-to-market resource
• Understanding of DevSecOps principles, including secure software delivery, infrastructure as code, and continuous integration/deployment
• Hands-on knowledge of container orchestration with Kubernetes and experience with Helm charts for application deployment
• Experience automating infrastructure and configuration management using Ansible or similar tools

Overview

As a GIS subject matter expert, you’re a natural at identifying the right analysis tools for the problem at hand. Not only do you create innovative solutions, you present solutions in ways that get others excited about the power of GIS technology. Join a technical team focused on supporting Esri’s most strategic partners and advise partners on their most complex business challenges. Leverage your problem-solving skills to demonstrate the value of GIS and how it finds unique patterns, trends, and understanding.

At Esri, we are committed to our partners and their success. It is a place for you to do your best work and amid a supportive culture that encourages creativity, collaboration, and passion.

Responsibilities

• Build relationships. Present, demonstrate, and support selling Esri software and solutions. Gain access to technical enterprise-level decision makers and lead technical meetings that drive revenue.
• Be an expert. Be a technical leader of Esri technology as well as a subject matter expert of integrating ArcGIS with other systems. Demonstrate your advanced understanding of sales strategies and initiatives to develop complex solutions for Esri’s most strategic partners. Understand an organization’s business structure, associated workflows, third party business systems, and integration points. Share knowledge and coach new team members on best practices.
• Solve problems. Proactively craft and propose solutions that clarify how GIS brings business value to our partners by addressing the critical challenges they face. Define and deliver complex strategies that align Esri technology with our largest partners’ business needs.
• Tell our story. Design presentations for technical and non-technical audiences within Esri’s largest customers. Provide configuration guidance and best practices. Present at large conferences and executive engagements.

Requirements

• 5+ years of experience with Esri technology creating maps, performing spatial analysis, and configuring web applications
• 3+ years of experience with Esri developer technology
• Broad knowledge of ArcGIS from an IT context (such as hardware, storage, security, networking, web services, virtualization, cloud computing)
• Demonstrated experience in technical consulting and conceptual solution design
• Understanding of sales and business development processes, with an emphasis on partnering
• Ability to troubleshoot client issues related to Esri application deployment and system architecture
• Experience with geodatabases and underlying DBMS technology
• Knowledge of cloud computing concepts and environments (Microsoft Azure or AWS)
• Experience integrating software solutions with other business systems including data warehousing, BI, CRM, ERP, and analytics platforms
• Programming and scripting experience with languages such as Python and JavaScript
• Remarkable presentation, interpersonal, and listening skills
• Ability to travel domestically or internationally 25-50%
• Bachelor’s degree in geography, computer science, or a related field
• Visa sponsorship is not available for this posting. Applicants must be authorized to work for any employer in the U.S.

Recommended Qualifications

• Experience incorporating real-time information streams with existing GIS data and IT infrastructure
• Knowledge of digitalization strategies that include mobile, IoT, advanced analytics and data science (AI/ML), and imagery
• Master’s degree in GIS, computer science, or a related field
• Demonstrated ability to evaluate and prototype the integration of Generative AI technologies (ex. LLMs)

Questions about our interview process? We have answers.

#LI-AC1

Overview

As a GIS subject matter expert, you’re a natural at identifying the right analysis tools for the problem at hand. Not only do you create innovative solutions, you present solutions in ways that get others excited about the power of GIS technology. Join a technical team focused on supporting Esri’s most strategic partners and advise partners on their most complex business challenges. Leverage your problem-solving skills to demonstrate the value of GIS and how it finds unique patterns, trends, and understanding.

At Esri, we are committed to our partners and their success. It is a place for you to do your best work and amid a supportive culture that encourages creativity, collaboration, and passion.

Responsibilities

• Build relationships. Present, demonstrate, and support selling Esri software and solutions. Gain access to technical enterprise-level decision makers and lead technical meetings that drive revenue.
• Be an expert. Be a technical leader of Esri technology as well as a subject matter expert of integrating ArcGIS with other systems. Demonstrate your advanced understanding of sales strategies and initiatives to develop complex solutions for Esri’s most strategic partners. Understand an organization’s business structure, associated workflows, third party business systems, and integration points. Share knowledge and coach new team members on best practices.
• Solve problems. Proactively craft and propose solutions that clarify how GIS brings business value to our partners by addressing the critical challenges they face. Define and deliver complex strategies that align Esri technology with our largest partners’ business needs.
• Tell our story. Design presentations for technical and non-technical audiences within Esri’s largest customers. Provide configuration guidance and best practices. Present at large conferences and executive engagements.

Requirements

• 5+ years of experience with Esri technology creating maps, performing spatial analysis, and configuring web applications
• 3+ years of experience with Esri developer technology
• Broad knowledge of ArcGIS from an IT context (such as hardware, storage, security, networking, web services, virtualization, cloud computing)
• Demonstrated experience in technical consulting and conceptual solution design
• Understanding of sales and business development processes, with an emphasis on partnering
• Ability to troubleshoot client issues related to Esri application deployment and system architecture
• Experience with geodatabases and underlying DBMS technology
• Knowledge of cloud computing concepts and environments (Microsoft Azure or AWS)
• Experience integrating software solutions with other business systems including data warehousing, BI, CRM, ERP, and analytics platforms
• Programming and scripting experience with languages such as Python and JavaScript
• Remarkable presentation, interpersonal, and listening skills
• Ability to travel domestically or internationally 25-50%
• Bachelor’s degree in geography, computer science, or a related field
• Visa sponsorship is not available for this posting. Applicants must be authorized to work for any employer in the U.S.

Recommended Qualifications

• Experience incorporating real-time information streams with existing GIS data and IT infrastructure
• Knowledge of digitalization strategies that include mobile, IoT, advanced analytics and data science (AI/ML), and imagery
• Master’s degree in GIS, computer science, or a related field
• Demonstrated ability to evaluate and prototype the integration of Generative AI technologies (ex. LLMs)

Questions about our interview process? We have answers.

#LI-AC1

Overview

As a GIS subject matter expert, you’re a natural at identifying the right analysis tools for the problem at hand. Not only do you create innovative solutions, you present solutions in ways that get others excited about the power of GIS technology. Join a technical team focused on supporting Esri’s most strategic partners and advise partners on their most complex business challenges. Leverage your problem-solving skills to demonstrate the value of GIS and how it finds unique patterns, trends, and understanding.

At Esri, we are committed to our partners and their success. It is a place for you to do your best work and amid a supportive culture that encourages creativity, collaboration, and passion.

Responsibilities

• Build relationships. Present, demonstrate, and support selling Esri software and solutions. Gain access to technical enterprise-level decision makers and lead technical meetings that drive revenue.
• Be an expert. Be a technical leader of Esri technology as well as a subject matter expert of integrating ArcGIS with other systems. Demonstrate your advanced understanding of sales strategies and initiatives to develop complex solutions for Esri’s most strategic partners. Understand an organization’s business structure, associated workflows, third party business systems, and integration points. Share knowledge and coach new team members on best practices.
• Solve problems. Proactively craft and propose solutions that clarify how GIS brings business value to our partners by addressing the critical challenges they face. Define and deliver complex strategies that align Esri technology with our largest partners’ business needs.
• Tell our story. Design presentations for technical and non-technical audiences within Esri’s largest customers. Provide configuration guidance and best practices. Present at large conferences and executive engagements.

Requirements

• 5+ years of experience with Esri technology creating maps, performing spatial analysis, and configuring web applications
• 3+ years of experience with Esri developer technology
• Broad knowledge of ArcGIS from an IT context (such as hardware, storage, security, networking, web services, virtualization, cloud computing)
• Demonstrated experience in technical consulting and conceptual solution design
• Understanding of sales and business development processes, with an emphasis on partnering
• Ability to troubleshoot client issues related to Esri application deployment and system architecture
• Experience with geodatabases and underlying DBMS technology
• Knowledge of cloud computing concepts and environments (Microsoft Azure or AWS)
• Experience integrating software solutions with other business systems including data warehousing, BI, CRM, ERP, and analytics platforms
• Programming and scripting experience with languages such as Python and JavaScript
• Remarkable presentation, interpersonal, and listening skills
• Ability to travel domestically or internationally 25-50%
• Bachelor’s degree in geography, computer science, or a related field
• Visa sponsorship is not available for this posting. Applicants must be authorized to work for any employer in the U.S.

Recommended Qualifications

• Experience incorporating real-time information streams with existing GIS data and IT infrastructure
• Knowledge of digitalization strategies that include mobile, IoT, advanced analytics and data science (AI/ML), and imagery
• Master’s degree in GIS, computer science, or a related field
• Demonstrated ability to evaluate and prototype the integration of Generative AI technologies (ex. LLMs)

Questions about our interview process? We have answers.

#LI-AC1

AI Office Lead - Senior AI Solutions Architect

NTT DATA is a team of more than 139,000 diverse professionals operating in more than 50 countries worldwide. Our sectors of activity include telecommunications, finance, industry, utilities, energy, public administration, and health.

Our mission? Offer technological solutions, business, strategy, development, and application maintenance while being a benchmark in consulting. Thanks to the collaboration between teams, the human quality of our people, and the fact that we do not conform to what is established, we always seek innovation that brings us closer to the future.

Our essence has led us to the forefront of technology, breaking paradigms and providing solutions that truly respond to each client's needs. Our talent has led us to be one of the top six technology companies in the world.

Because #Greattech, needs #GreatPeople, like you

NTT Data seeks high-achieving team players who quickly adapt to new challenges and entrepreneurial ventures. We are looking for a Senior AI Solutions Architect to work with our global client in Washington, D.C. This role will require an onsite presence at our client location.

Location: Washington D.C. onsite is highly preferred BUT open to candidates from Peru, Mexico, Brazil, or Chile who can work in the DC time zone**

Focus: AI Platform Architecture, Orchestration & Enterprise Integration
Experience Level: Senior (7+ years)

Role Overview

Background & Environment

• Proven experience as a senior architect or technical lead within AI, data, or digital platforms.
• Experience working in large, federated, or matrixed organizations, including public sector, healthcare, or international institutions.
• Strong background operating in environments with governance, compliance, interoperability, and cross-domain integration requirements

Key Responsibilities

Required Technical Skills & Expertise

Preferred Certifications & Training

• Scrum Master or equivalent Agile certification
• Executive-level training in AI Strategy
• NIST AI Risk Management Framework (AI RMF) training
• Microsoft Azure AI Engineer Associate
• Microsoft Azure Solutions Architect Expert
• Microsoft Copilot and Agent Administration Fundamentals

Why NTT Data?   

Empowerment and rewards are the cornerstone of our career development model. We are a young, fast-growing company, with a highly innovative and entrepreneurial spirit, because of this professional experience and growth will be unmatched. Our talent and positive attitude allow us to transform our goals into achievements, and projects into realities.

NTT Data is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. NTT Data is an Equal Opportunity Employer Male/Female/Disabled/Veteran and a VEVRAA Federal Contractor.

AI Programmer – MCP Server & Agent Systems

NTT DATA is a team of more than 139,000 diverse professionals operating in more than 50 countries worldwide. Our sectors of activity include telecommunications, finance, industry, utilities, energy, public administration, and health.

Our mission? Offer technological solutions, business, strategy, development, and application maintenance while being a benchmark in consulting. Thanks to the collaboration between teams, the human quality of our people, and the fact that we do not conform to what is established, we always seek innovation that brings us closer to the future.

Our essence has led us to the forefront of technology, breaking paradigms and providing solutions that truly respond to each client's needs. Our talent has led us to be one of the top six technology companies in the world.

Because #Greattech, needs #GreatPeople, like you

NTT Data seeks high-achieving team players who quickly adapt to new challenges and entrepreneurial ventures. We are looking for a AI Programmer to work with our global client in Washington, D.C. This role will require an onsite presence at our client location.

Experience Level: Mid–Senior (4–7+ years)
Focus: AI Agents, MCP Servers, Python Engineering
Location: Washington, D.C. (onsite preferred)
Open to candidates based in Peru, Mexico, Brazil, or Chile who can work in the DC time zone

Role Overview

The AI Programmer – MCP Server & Agent Systems is a hands-on engineering role focused on building, deploying, and maintaining MCP servers and agent-based AI services that integrate with enterprise platforms and data systems.

This role works closely with Senior AI Solutions Architects and platform teams to implement production-ready AI agents, orchestration workflows, and backend services using Python. The ideal candidate is a strong programmer with practical experience implementing AI agent patterns—not just experimenting with them.

Key Responsibilities

MCP Server & Agent Development

• Design, build, and maintain MCP servers that support AI agent execution, tool invocation, and orchestration
• Implement agent-based workflows using Python and modern AI frameworks
• Develop reusable services and APIs to enable agent interaction with enterprise systems and data sources

AI Agent Implementation

• Implement AI agents using frameworks such as LangChain, LangGraph, or MCP-style architectures
• Support RAG-based solutions including vector search, embeddings, and grounding strategies
• Implement guardrails, logging, and error handling for agent reliability and safety

Integration & Deployment

• Integrate AI agents with existing applications, APIs, data platforms, and workflows
• Package and deploy AI services using containerization and cloud-native patterns
• Support CI/CD pipelines for AI services and agent systems

Collaboration & Delivery

• Work closely with AI architects to implement approved designs and PoCs
• Participate in code reviews, testing, and technical documentation
• Support iteration from PoC to production under architectural and governance guidance

Required Technical Skills & Experience

Programming & Engineering

• Strong proficiency in Python
• Experience building backend services, APIs, or microservices
• Familiarity with Git-based workflows and collaborative development

AI Agents & Generative AI

• Hands-on experience implementing AI agents or orchestration workflows
• Experience with frameworks such as LangChain, LangGraph, or similar agent frameworks
• Understanding of LLM-based applications, prompt design, and tool-calling patterns

Data & AI Integration

• Experience working with vector databases, embeddings, and RAG pipelines
• Ability to integrate AI services with structured and unstructured data sources
• Familiarity with data APIs, event-driven systems, or streaming pipelines is a plus

Cloud & DevOps (Preferred)

• Experience deploying services in cloud environments (Azure preferred)
• Familiarity with Docker and cloud-native deployment patterns
• Exposure to CI/CD pipelines and basic MLOps concepts

Why NTT Data?   

Empowerment and rewards are the cornerstone of our career development model. We are a young, fast-growing company, with a highly innovative and entrepreneurial spirit, because of this professional experience and growth will be unmatched. Our talent and positive attitude allow us to transform our goals into achievements, and projects into realities.

NTT Data is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. NTT Data is an Equal Opportunity Employer Male/Female/Disabled/Veteran and a VEVRAA Federal Contractor.

Scale AI is at the forefront of the AI revolution, helping the U.S. government unlock the potential of AI across national security missions. We’re building enterprise-grade generative AI solutions and delivering them into operational use cases that matter.

The Global Forward Deployments (GFD) organization operates as a critical horizontal layer across Scale, sitting at the intersection of Engineering, Product, Design (EPD), Delivery, and GTM. As our business scales, we are growing the GFD Project Management Office (PMO) to act as the connective tissue that brings structure to ambiguity by aligning teams, organizing cross-functional workstreams, and keeping priorities coordinated across the organization.

As a Technical Program Manager within this expanding PMO, you will drive execution across diverse initiatives by partnering closely with Infrastructure & Security, Product, Software Engineering, Machine Learning, Mission/Field Engineering, Delivery, and Go-To-Market (GTM) teams. Your focus will be integrating engineering roadmaps, customer delivery timelines, and security constraints to enable successful deployments in complex, isolated environments.

What You Will Do

• Lead as a Horizontal PMO Partner: Serve as a central node within the growing GFD PMO, driving alignment across Engineering, Product, and Design (EPD) initiatives and ensuring priorities remain top-of-mind across the organization.
• Spearhead Niche Initiatives: Take on Scale’s difficult-but-ambiguous problems, breaking them down in a structured way and driving them to successful outcomes. You will dive into both technology and organizational processes to craft effective solutions and gain efficiencies, track resourcing and vendor management, and align internal resources to solve unique organizational, and technical challenges. 
• Bridge EPD, Delivery, and GTM: Act as the primary technical program manager uniting GFD with Product, ML, Mission & Field Engineering, Delivery, and GTM teams to wrangle contractual deliverables across EPD, unblock complex custom integrations, and drive technical milestones against critical contract checkpoints.
• Optimize Cross-Functional Processes: Collaborate with stakeholders across the company to improve processes and procedures, ensuring Scale's continued success.
• Foster Communication: Create an effective feedback loop between all teams within EPD as well as with partner teams like Legal, BizOps, and Partnerships.
• Navigate Ambiguity: Transition AI/ML technologies and processes into working Public Sector products/solutions even when requirements are undefined or ambiguous.

Ideally You’d Have

• Current or past Security Clearance (TS/SCI preferred).
• Proven experience partnering closely with Product and cross-functional Engineering teams to align technical roadmaps, manage dependencies, and drive complex, multi-team initiatives.
• Experience in project management, including planning, organizing, and managing resources.
• A demonstrated capacity to operate effectively and maintain high-quality output within a high-tempo, ambiguous, or chaotic environment.
• Experience in security and compliance, with a focus on cross-departmental collaboration.
• Experience in delivering secure and reliable solutions within classified, isolated, and air-gapped environments.
• Demonstrated understanding of security practices within cloud environments (e.g., AWS, Azure, GCP).
• Experience in a high growth, fast-paced technology company.
• An action-oriented mindset, balancing creative problem-solving with a strong drive to achieve outcomes.

Nice to Haves

• Experience in microservice design and Kubernetes-based container orchestration.
• Experience applying AI or Machine Learning.
• Strong analytical skills, with experience using data analysis tools or software.
• Demonstrated history of fostering cross-functional collaboration with Delivery, Sales, and Engineering teams.
• Backlog refinement & roadmapping experience with tools like Linear and JIRA.
• Proven experience translating complex SOW requirements into tactical engineering deliverables 
• Experience maintaining alignment with organizational capacity planning and delivery timelines.
• Background in Software, Security, or System Engineering.

(Note this role must be based within the continental United States and requires current US Citizenship to support Scale’s Public Sector business.)

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.

The goal of a Senior Machine Learning Engineer at Scale is to leverage techniques in the fields of generative AI, computer vision, reinforcement learning, and agentic AI to improve Scale's products and customer experience in production environments. Our machine learning engineers take advantage of robust internal infrastructure and  unique access to massive datasets to deliver improvements to our customers.

Our Public Sector Machine Learning team is focused on deploying cutting-edge models to mission-critical government systems through products like Donovan and Thunderforge. Our work spans multiple modalities, with a strong focus on both large language models and computer vision. On the LLM side, we are developing agentic systems that help solve complex operational and planning challenges for government partners. This includes building agent frameworks that integrate with custom retrieval pipelines and production APIs, as well as evaluation tools to benchmark and refine agent behavior. We're also advancing research in areas like reinforcement learning for agentic LLMs, with successful deployment into real-world operational environments. On the computer vision front, we're training advanced models to increase labeling throughput and automate perception tasks. Our efforts include building large-scale fine-tuning pipelines, training models across multiple modalities, and developing generalizable vision foundation models to support a wide range of defense applications.

You will:

• Take state of the art models developed internally and from the community, use them in production to solve problems for our customers and taskers
• Improve and maintain production models through retraining, hyperparameter tuning, and architectural updates, while preserving core performance characteristics
• Collaborate with product and research teams to identify and prototype ML-driven product enhancements, including for upcoming product lines
• Work with massive datasets to develop both generic models as well as fine tune models for specific products
• Build scalable machine learning infrastructure to automate and optimize our ML services
• Serve as a cross-functional representative and advocate for machine learning techniques across engineering and product organizations
• Be comfortable learning new technologies quickly and managing multiple priorities in a fast-paced environment
• Comfortable with light travel (approximately 10%) for customer interaction and team needs
• This role will require an active security clearance or the ability to obtain a security clearance

Ideally You’d Have:

• Extensive experience with GenAI, Agentic AI, natural language processing, deep learning and deep reinforcement learning, or computer vision in a production environment
• Solid background in algorithms, data structures, and object-oriented programming
• Strong programing skills in Python, experience in Tensorflow or PyTorch

Nice to Haves:

• Graduate degree in Computer Science, Machine Learning or Artificial Intelligence specialization
• Experience working with cloud platforms (eg. AWS or GCP) and deploying machine learning models in cloud environments
• Experience with computer vision, generative AI models, large language models, or agentic systems
• Familiarity with ML evaluation frameworks and agentic model design

The Opportunity

Tomorrow.io is expanding its federal footprint across civilian and defense missions, including NOAA AWIPS, FAA next-generation air traffic control, and newly formed Tomorrow.io Federal.

We are seeking a senior Federal Solutions Architect to join us initially as a part-time independent contractor. This role is ideal for an experienced federal technologist who wants to:

• Stay hands-on as an individual contributor
• Apply deep federal architecture and compliance expertise
• Make high-impact contributions without people management (for now)
• Help shape a growing federal practice with a clear opportunity to transition into a full-time role next year

This is a builder role, not a maintenance role.

What You’ll Do

Own Federal Solution Architecture (IC-Focused)

• Act as the senior technical IC for federal programs including NOAA AWIPS, DoD weather systems, and future classified and unclassified deployments
• Design and document end-to-end architectures: system diagrams, data flows, integrations, security controls, and CONOPS

Lead Compliance & Security Architecture

• Define and implement technical approaches aligned with FedRAMP, RMF, FISMA, ITAR, CUI, and DoD IL5/IL6
• Serve as a hands-on technical contributor during ATO processes, audits, and security reviews

Partner with Integrators & Government Stakeholders

• Engage directly with system integrators (e.g., SAIC, Leidos) and government technical teams
• Translate mission and operational requirements into deployable, compliant architectures

Bridge Product Engineering & Federal Reality

• Work closely with Tomorrow.io’s global engineering teams to ensure architectures are feasible within the product roadmap
• Adapt commercial platforms to meet federal operational and compliance constraints

Support Capture & Growth Efforts (As Needed)

• Provide technical input for RFIs, RFPs, solution narratives, and architecture diagrams
• Collaborate with Business Development and Capture teams to shape technical strategy early

Note: This role is intentionally scoped as a senior IC position. Team leadership and hiring may become part of the role if/when it transitions to full-time, but are not required initially.

What You Bring

Federal Architecture Expertise

• Proven experience architecting and delivering systems in federal civilian and/or DoD environments
• Strong background in cloud infrastructure, data platforms, APIs, and operational systems

Compliance & Security Fluency

• Hands-on experience with FedRAMP, RMF, FISMA, ITAR, CUI, DoD IL5/IL6
• Ability to design architectures that balance performance, security, and regulatory rigor

Credibility & Independence

• Comfortable operating as a trusted technical expert with government customers and integrators
• Able to work independently, define structure, and deliver with minimal oversight

Builder Mindset

• Experience standing up new environments, programs, or federal capabilities
• Enjoys early-stage work, ambiguity, and shaping technical direction

Clear Communicator

• Strong written and verbal communication skills
• Able to explain complex technical concepts to both technical and non-technical audiences

Required Qualifications

• U.S. Citizen
• U.S. based (Washington, DC highly preferred; remote within U.S. considered)
• Active or eligible TS/SCI clearance
• Prior experience supporting DoD and/or federal civilian systems

If you have reached this point and you are super excited but not sure you check all the boxes - we still want to speak with you! Your passion is priceless. Other things can be learned.

This position requires access to technology that is controlled under U.S. export control laws and regulations. Accordingly, this position is restricted to U.S. citizens, permanent residents and protected individuals unless and until any required licenses are obtained.

Tomorrow.io is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Tomorrow.io participates in the E-Verify program in all US states, as required by law.

At tomorrow.io we have established a workplace culture that values fairness and equal opportunities and we believe it is crucial for fostering a positive and productive environment. Regularly reviewing and adjusting pay practices to align with legitimate drivers of pay, such as job level, geographic location, and performance, demonstrates a commitment to maintaining equity within the organization.This commitment to ongoing assessment and improvement is key to creating a workplace that is not only diverse and inclusive but also fair and just. Anticipated salary range for this role is X subject to local market and candidates skills and experience. Comprehensive health benefits, unlimited paid time off and other benefits included. Relocation assistance may be offered/available for certain roles.

Tomorrow.io is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at jobs@tomorrow.io

About tomorrow.io:

Selected by TIME Magazine as one of the Top 100 Most Influential Companies in the World, Tomorrow.io is the world's leading Resilience Platform™. Combining next-generation space technology, advanced generative AI, and proprietary weather modeling, Tomorrow.io delivers unmatched forecasting and decision-making capabilities. Trusted by six of the top ten Fortune 500 companies, Tomorrow.io empowers organizations to proactively manage weather-related risks, opportunities, and enhance operational efficiency. From cutting-edge weather intelligence to real-time early warning systems, Tomorrow.io enables predictive, impact-based action for a safer, more resilient future. Learn more at Tomorrow.io.

Ethos:  Our ethos guides us in everything we do - The people of Tomorrow are here to make an impact, they show true grit, and always put people first.

How we roll: We work in an “one office” environment. We believe that magic happens when people work together. Together also includes Zoom meetings, flexible hours and unlimited vacation days. Your success is achieved by your impact and deliveries and not by the hours you put in. We believe in transparency and directness, putting work before ego and empathy. We grow fast and move faster but we always see people first. Each person has their own career growth path for we believe that the only way for the company to grow is if you grow.

Intro to Position

The Lead AI Solutions Engineer, AI Labs, is a foundational role in building NPR's first Generative AI (GAI)-focused product development team. Reporting to the VP of AI Labs, this engineer will be responsible for the technical development and implementation of generative AI solutions. The core mission is to engineer systems that leverage GAI to enhance the quality and actionability of our content metadata, thereby directly supporting the organization's goals of improving content personalization and increasing editorial efficiency. This role involves hands-on work in integrating AI products into core NPR systems, ensuring solutions are scalable, align with ethical guidelines, and are built upon industry best practices. This is a critical opportunity to shape NPR's technical AI adoption and build a new, innovative function.

Responsibilities

• Engineering & Implementation: Design, develop, and deploy scalable Generative AI (GAI) solutions, focusing on enhancing content metadata quality and actionability to meet organizational objectives.
• Architecture & Technical Best Practices: Establish and champion technical best practices for Generative AI systems, including MLOps, RAG architectures, prompt engineering, and model evaluation, ensuring high-quality, maintainable code.
• Cross-functional Development: Collaborate closely with Product Managers, data scientists, software and infrastructure engineers, and relevant subject matter experts to translate product requirements and roadmaps into robust, production-ready AI systems.
• System Optimization & Performance: Implement data-driven methods, A/B testing, and performance monitoring to optimize the efficiency, scalability, and impact of AI models and pipelines.
• Technical Communication: Clearly articulate technical architectures, development progress, and engineering challenges to product and non-technical stakeholders.
• Responsible AI: Integrate ethical AI principles and compliance standards directly into the design and implementation of all AI products, in alignment with company policies.
• Technology Scouting: Research and evaluate emerging AI technologies, frameworks, and industry trends to drive continuous technical innovation within the AI Labs.

The above duties and responsibilities are not an exhaustive list of required responsibilities, duties and skills. Other duties may be assigned, and this job description is subject to change at any time.

Minimum Qualifications

• 8+ years of professional experience in software development, data science, or machine learning engineering, with a focus on building and deploying production systems.
• 2+ years of hands-on experience working with generative AI, machine learning, or data products.
• Expert proficiency in Python and experience creating functional prototypes to validate technical feasibility and user flows.
• Demonstrable understanding and experience building products that leverage Large Language Models, RAG architectures, prompting, function calling, retrieval, vector databases, embeddings, fine-tuning, and model evaluation.
• Familiarity with building and integrating MCP servers and agentic workflows.
• Background in creating QA systems for AI processes and development.
• Excellent communication skills and the ability to clearly articulate technical architectures and challenges to product and non-technical stakeholders.
• A collaborative and respectful approach to work and an ability to adapt quickly to change.
• A deep commitment to the mission of NPR and to the responsible implementation of Generative AI technologies.

Preferred Qualifications

• Experience designing and building highly scalable, production-grade AI/ML pipelines and services.
• Proficiency with cloud platforms, particularly AWS and Google Cloud Platform (GCP) and MLOps tools, particularly MLFlow and Vertex AI. 
• Experience with DevOps practices, including CI/CD and enterprise infrastructure-as-code.
• Experience working in media organizations and an understanding of media delivery systems.

Work Location & Requirements

• Hybrid Permitted: This is a hybrid permitted role. Some aspects of this role require duties better performed at an NPR facility. The employee will be required to be in the office at the Washington, D.C. location at least two days a week. The employee must also reside in an NPR-supported location (D.C., MD, or VA).

Job Type

• This is a full-time, exempt position.

Compensation

Salary Range: The U.S. based anticipated salary range for this opportunity is $187,000 - $208,000 plus benefits. The range displayed reflects the minimum and maximum salaries NPR expects to provide for new hires for the position across all US locations.

NPR Benefits: NPR offers access to comprehensive benefits for employees and dependents. Regular, full-time employees scheduled to work 30 hours or more per week are eligible to enroll in NPR’s benefits options. Benefits include access to health and wellness, paid time off, and financial well-being. Plan options include medical, dental, vision, life/ accidental death and dismemberment, long-term disability, short-term disability, and voluntary retirement savings to all eligible NPR employees. 

Does this sound like you? If so, we want to hear from you.

#LI-HYBRID

National Security Hackathon Attendees – Stay Connected with Scale AI

This posting is for candidates who attended National Security Hackathon and connected with a member of the Scale AI team.

It was great meeting you at the Hackathon! Whether we spoke at our booth or on the floor, we always enjoy connecting with people who are passionate about advancing AI and machine learning.

At Scale AI, our mission is to develop reliable AI systems for the world's most important decisions. For the past ten years, Scale has been the leading AI data foundry, supporting some of the most exciting advancements in AI, including generative AI, defense applications, robotics, and autonomous systems.

We’re continuing to grow our team across a range of technical and mission-focused roles.

If you're excited about the problems we’re tackling, feel free to share your information here. A member of our team will reach out if there’s a strong fit with one of our open opportunities. And even if the timing isn’t right today, we’d love to stay connected.

We look forward to continuing the conversation. In the meantime, you can learn more about our work at scale.com.

ABOUT THE JOB

The ACLU seeks applicants for the full-time position of Data Scientist II, Natural Language Processing (NLP) Specialist in the Analytics Division of the Technology Department of the ACLU’s National office in New York, NY, San Francisco, CA, or Washington, DC. This is a hybrid role that has in-office requirements of two (2) days per week or eight (8) days per month. 

The ACLU Technology Department is a broad umbrella covering both the ACLU’s Analytics and its Product & Engineering teams, two robust and innovative divisions that power the work of the ACLU. The department provides trusted, dependable, and impactful analytics, engineering, as well as product management and product design expertise for the ACLU. In partnership with experts across the ACLU, the Technology Team delivers best-in-class solutions, services, and innovation that advance the ACLU mission and organizational priorities. The tech team strives to ensure the ACLU leads by example in the ethical use of technology by ensuring privacy and security standards are maintained, directional insights are used to inform programming and business strategy, best-in-class products are designed to get the ACLU message out into the world and grow the ACLU supporter base, as well as to help steward high standards for algorithmic fairness, accountability, and transparency.  

The Analytics division includes analysts, data scientists, survey experts, social scientists, and analytics engineers that support evidence-based decision making and bring quantitative insights on our issues to the courtroom and the public. 

This position is part of a collective bargaining unit. It is represented by ACLU Staff United (ASU).

WHAT YOU'LL DO 

Reporting to the Data Science Manager — Algorithmic Justice Specialist and collaborating closely with our DevOps Engineering Team, Product Manager for Discovery, and Algorithmic Justice Fellow, the Data Scientist II, NLP Specialist, will support development and evaluation work for high-priority, carefully scoped projects using NLP to support the ACLU’s mission. In this role, the NLP Specialist will be responsible for evaluating proposed uses of generative AI and non-generative natural language AI systems, providing recommendations on whether AI tooling is appropriate or ill-suited for various tasks, and when appropriate, contributing to the development and implementation of AI-based solutions to support the organization’s mission.  

YOUR DAY TO DAY

• Work with various teams and departments to evaluate proposed AI use cases for feasibility and alignment with ACLU values and requirements related to privacy, security, transparency, bias, and environmental impacts  
• Provide recommendations to department and organizational leaders on whether AI tooling is appropriate or ill-suited for various tasks and use cases 
• Develop recommendations and architecture plans for intentional, carefully crafted uses of NLP tooling, appropriately selecting generative or non-generative AI systems and related guardrails and monitoring based on the context and requirements of the use case 
• Contribute to the development and implementation of AI-based solutions when appropriate, collaborating with various departments to ensure successful design, deployment, and continuous evaluation of such systems 
• Contribute to the establishment of AI governance practices and standards in collaboration with colleagues across the organization 
• Contribute to the development of context-specific, high-quality benchmarks for language modelling systems tailored for civil rights and public interest organizations 
• Contribute to various other projects supporting the ACLU’s litigation and policy work by applying natural language processing methods to policy or regulatory text data  
• When relevant, collaborate with academic and civil society researchers to turn your learnings and insights into resources to benefit other public interest organizations 
• Brief departmental leadership on relevant AI research and developments and prepare materials for senior leaders’ speaking engagements on AI issues 
• Communicate to non-technical audiences—including ACLU lawyers, policy advocates, and other staff—details of how large language models (LLMs) and small language models (SLMs) are designed and deployed, including their civil rights implications 
• Implement tooling to estimate the environmental impact of deployed AI systems 
• Stay abreast of important developments in the generative AI research and development space 

FUTURE ACLU'ERS WILL 

• Be committed to advancing the mission of the ACLU
• Center and embed the principles of equity, inclusion and belonging in their work by demonstrating commitment to diversity with an approach that respects and values multiple perspectives
• Be committed to work collaboratively and respectfully toward resolving obstacles and conflicts

WHAT YOU'LL BRING

• Substantial research or professional experience on issues related to fairness, accountability, and transparency of artificial intelligence (AI) systems, especially generative AI systems 
• Substantial expertise and training in the field of natural language processing, including experience conducting statistical analyses with text data, evaluating and implementing machine learning methods for text data, and strong understanding of text representation techniques 
• Strong familiarity with language modeling and natural language techniques, including strong understanding of the core concept underlying the design of small language models (SLMs) and large language models (LLMs)  
• Substantial experience writing code in Python and working with open-source NLP libraries such as transformers and NLTK 
• Substantial experience working with text data from legal, policy, and social science contexts, such as legal filings, statutes, and regulations 
• Familiarity with the core concepts underlying multi-modal (e.g., text-to-speech, text-to-video, etc.) generative AI systems and experience working with multi-modal datasets 
• Familiarity with popular approaches and frameworks for monitoring and evaluating AI-enabled systems, especially generative AI systems 
• Professional or research experience developing software and strong familiarity with common software engineering practices such as version control, testing, and code reviews 
• Experience developing documentation of technical products and systems tailored to both technical and non-technical audiences 
• Experience working with cloud services (e.g. Amazon Web Services, Azure) a nice to have 
• Excellent communication skills, including the ability to communicate complex technical concepts clearly to technologists without NLP expertise and non-technical stakeholders 
• Excellent project management and collaboration skills, with a track record of partnering with cross-functional teams to translate organizational needs into technical solutions 

COMPENSATION

WHY THE ACLU

For over 100 years, the ACLU has worked to defend and preserve the individual rights and liberties guaranteed by the Constitution and laws of the United States. Whether it’s ending mass incarceration, achieving full equality for the LGBTQ+ community, establishing new privacy protections for our digital age, or preserving the right to vote or the right to have an abortion, the ACLU takes up the toughest civil liberties cases and issues to defend all people.

We know that great people make a great organization. We value our people and know that what we offer is essential not just their work, but to their overall well-being. 

At the ACLU, we offer a broad range of benefits, which include:

• Time away to focus on the things that matter with a generous paid time-off policy
• Focus on your well-being with comprehensive healthcare benefits (including medical, dental and vision coverage, parental leave, gender affirming care & fertility treatment)
• Plan for your retirement with 401k plan and employer match
• We support employee growth and development through annual professional development funds, internal professional development programs and workshops

OUR COMMITMENT TO ACCESSIBILITY, EQUITY, DIVERSITY & INCLUSION

Accessibility, equity, diversity and inclusion are core values of the ACLU and central to our work to advance liberty, equality, and justice for all. For us diversity, equity, accessibility, and inclusion are not just check-the-box activities, but a chance for us to make long-term meaningful change.  We are a community committed to learning and growth, humility and grace, transparency and accountability. We believe in a collective responsibility to create a culture of belonging for all people within our organization – one that respects and embraces difference; treats everyone equitably; and empowers our colleagues to do the best work possible. We are as committed to anti-oppression, anti-ableism, and anti-racism internally as we are externally. Because whether we’re in the courts or in the office, we believe ‘We the People’ means all of us.

With this commitment in mind, we strongly encourage applications from all qualified individuals without regard to race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, citizenship, disability, veteran status and record of arrest or conviction, or any other characteristic protected by applicable law.    

The ACLU is committed to providing reasonable accommodation to individuals with disabilities. If you are a qualified individual with a disability and need assistance applying online, please email benefits.hrdept@aclu.org. If you are selected for an interview, you will receive additional information regarding how to request an accommodation for the interview process.

The Department of Education has determined that employment in this position at the ACLU does not qualify for the Public Service Loan Forgiveness Program. 

Who we are

The role

The day-to-day

• Lead the full proposal lifecycle including capture planning, bid/no-bid decisions, storyboarding, content development, review governance, and on-time submission of compliant, compelling proposals 

• Orchestrate cross-functional bid teams — bringing together engineers, program managers, business development, and subject matter experts — driving accountability and maintaining momentum across concurrent pursuits 

• Develop win themes, discriminators, and proposal narratives that translate complex AI and software capabilities into clear, persuasive content tailored to defense evaluators 

• Partner cross-functionally with Business Development, Program Management, Engineering, and Finance to ensure strategic and commercial alignment on every pursuit  

• Build and refine scalable bid management processes, tools, and content libraries that support rapid growth without introducing unnecessary bureaucracy 

• Manage proposal compliance, ensuring all submissions meet procurement requirements, evaluation criteria, and internal governance standards across relevant frameworks (e.g., FAR/DFARS, Commercial Solutions Openings, Other Transaction Agreements) 

• Coordinate pricing and commercial strategy with Finance and Contracts teams to develop competitive, defensible cost volumes and pricing architectures 

• Conduct post-submission debriefs and win/loss analyses, feeding insights back into the organization to continuously improve win rates 

• Support the development of capture strategies and pre-RFP engagement plans that improve competitive positioning before formal solicitations are released 

You should apply if you

• You have significant experience in bid and proposal management, ideally within the Defense, Aerospace, or National Security technology sector  

• You have a proven track record of winning complex, high-value government contracts and understand the nuances of defense procurement 

• You possess outstanding written communication skills and can craft clear, compelling narratives that resonate with military and government evaluators 

• You've managed multiple concurrent bids under pressure and know how to balance scrappiness with rigor 

• You communicate complex technical and commercial concepts with clarity and influence to technical and non-technical stakeholders alike 

• You have strong commercial acumen and understand pricing strategies, contract types, and how to structure competitive offers 

• You're energized by ambiguity, thrive under pressure, and are motivated by mission-driven work 

Note: We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarized in a few bullet points. 

Nice to Have

• APMP certification or experience with Shipley or similar capture and proposal best practices 

• Background in software, SaaS, or AI-related proposals — not just traditional hardware-centric defense bids 

• Familiarity with FAR/DFARS, DCAA audit requirements  

• Proficiency in more than one European language (English plus German or French is a strong advantage) 

• Experience working with or within US DoD procurement organizations 

• Active security clearance 

Join Helsing and work with world-leading experts in their fields 

• Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns

• The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world

• Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defense industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward

• In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts

• We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practice responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about

What we offer

• A focus on outcomes, not time-tracking

• A generous compensation and benefits package (in addition to base salary) that includes, but may not be limited to, insurance coverage (medical and travel), flexible paid time off, paid holidays, and remote and/or hybrid work available depending on position. All compensation and benefits are subject to the terms and conditions of the underlying plans or programs, as applicable and as may be amended, terminated or superseded from time to time.

• Growth toward global roles in our Finance organization

The base salary offered to the successful candidate will be determined by a variety of factors including relevant experience, qualifications, education, skill level, interview performance, and the level and scope of the position.   

Helsing is an Equal Opportunity Employer. We will consider all qualified applicants without regard to race, color, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, genetics, or any other characteristic protected by applicable federal, state, or local law.  Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

Marketing at Brex

Marketing tells the story of Brex to the world. From acquisition to activation, we translate product value into business results. Our team spans Revenue, Product, and Brand Marketing, and works closely with nearly every function at Brex. We move fast, experiment often, and think deeply about customer behavior. If you want your creativity to drive growth and shape perception, this is the place.

What you’ll do

The Brex Marketing team is looking for an experienced Senior Marketing Operations Manager to own the systems, data infrastructure, and digital growth engine powering our Product-Led Growth (PLG) motion. This role is central to how Brex scales digital acquisition, optimizes self-serve onboarding flows, and unlocks marketing performance through automation, experimentation, and insights.

The ideal candidate is passionate about building a best-in-class marketing tech stack—including structuring event schemas, improving attribution, unlocking insights, and driving efficiency. This person is also excited about how AI and agentic workflows can transform our operational processes, improve personalization, accelerate experimentation velocity, and automate routine tasks. You will help define and execute our future-state marketing operations architecture, modernizing systems, processes, and data across paid, web, product, and lifecycle channels.

Where you’ll work

This role will be based in our Seattle office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of two coordinated days in the office per week, Wednesday and Thursday. Starting February 2, 2026, we will require three days per week in office - Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Own and evolve the PLG martech ecosystem—including Twilio Segment, Google Analytics, Marketo, Sanity CMS, Salesforce, and paid-channel integrations—to ensure a best-in-class, scalable, and reliable infrastructure.
• Define and execute a future-state roadmap for PLG operations, leveraging AI-driven automation, agentic workflows, and scalable systems foundations.
• Build and optimize automated lifecycle and activation programs using AI-assisted segmentation, predictive scoring, and personalized content delivery.
• Partner with Web, Product, and Engineering teams to modernize event tracking frameworks, ensuring clean, structured, privacy-aligned data flows through Segment, GA, and in-product analytics.
• Support and scale experimentation by integrating event tracking, metadata, and insights with AI-enabled analysis and rapid test iteration.
• Collaborate with Paid Growth to ensure high-quality tagging, attribution, and channel measurement across Google Ads, LinkedIn Ads, Meta Ads, and Reddit Ads.
• Partner cross-functionally with CX, Operations, Sales, and Web teams to support chatbot and live chat experiences on Brex.com — including qualification logic, routing workflows, data capture, and integration with downstream teams. Serve as the Marketing Operations lead ensuring technical implementation, measurement, workflow orchestration, and operational governance, even in a co-owned model.
• Build dashboards and insights leveraging AI-enhanced analytics to monitor PLG health, funnel friction, conversion behavior, and growth loops.
• Identify opportunities to automate manual processes using Zapier, Segment, Marketo programs, and AI agents to improve speed, accuracy, and scale.
• Troubleshoot and resolve issues across systems (Segment, GA, Marketo, Salesforce), maintaining a high-quality data environment and rapid operational velocity.

Requirements

• 4+ years in Marketing Operations, Growth Operations, or Digital Systems roles supporting PLG or digital-first acquisition funnels.
• Hands-on experience with Segment, Google Analytics, Marketo, and event-based tracking frameworks.
• Strong analytical capabilities related to experimentation, attribution, and funnel performance measurement.
• Experience supporting paid acquisition workflows across Google, LinkedIn, Meta, and other digital channels.
• Experience partnering with cross-functional teams (CX, Operations, Sales, Web) to manage or enhance chatbot and/or live chat experiences—including qualification, routing, data models, and workflows—even when operational ownership is distributed across teams.
• Demonstrated experience driving operational efficiency and automation through workflow orchestration tools (Zapier, agentic AI systems, CDP-triggered workflows).
• Track record of evolving or modernizing a marketing tech stack toward a future-state architecture.
• Experience collaborating closely with Product, Web Engineering, and Data teams.

Bonus Points

• Experience at FinTech or SaaS companies with PLG or self-serve onboarding models.
• Experience using AI and automation to scale marketing workflows, such as generative personalization, predictive scoring, and automated experiment QA.
• Comfort building integrated workflows between CMS (Sanity) and acquisition tracking systems.
• Familiarity with customer journey analytics tools such as Amplitude, Mixpanel, or similar.
• Demonstrated ability to document architecture, propose long-term solutions, and operationalize complex systems with cross-functional partners.
• Understanding of digital identity verification steps and risk-aware conversion optimization.
• Familiarity with Lead-to-Product connective processes (where website signups eventually feed the GTM funnel).
• Knowledge of ABM or enterprise programs is a plus for hybrid funnel interactions.

Compensation

The expected salary range for this role is $134,696 - $168,370.  However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Who You Are:

Galaxy Digital is looking for a Policy Associate to join our policy team covering digital assets policymaking and legislation for internal and external clients.

This role will be based in Washington, DC.

What You’ll Do:

• Support the Head of Policy in developing regulatory and legislative engagement plans, including advising senior leadership on key policy issues.
• Monitor, analyze, and interpret regulatory, legislative, and policy developments at the U.S. Federal and State levels; assess their impact to Galaxy, and assist in developing rapid responses to such policy proposals.
• Build and maintain relationships with policymakers, regulators, industry associations, and key stakeholders to advance Galaxy’s policy interests.
• Represent Galaxy in policy discussions and industry meetings, including participation in trade associations and policy roundtables.
• Prepare policy briefings, comment letters, testimony, and advocacy materials to communicate Galaxy’s positions to government officials and external stakeholders.
• Serve as a thought leader on various crypto topics and consult with internal and external clients.
• Embrace and champion the thoughtful adoption of AI to improve team performance and business outcomes.
• Leverage AI tools (e.g., generative AI, automation platforms, data copilots) to improve productivity, decision-making, and output quality in your day-to-day work.

What We’re Looking For:

• 4+ years of professional experience working in financial services policy.
• Advanced degree preferred in public policy, law, business, or a related field.
• Experience working in digital assets in Congress or within a market (SEC, CFTC) and/or prudential (Fed, OCC, FDIC) regulator is strongly preferred.
• Strong understanding of federal and state legislative and regulatory processes, particularly as they relate to digital assets and financial services.
• Strong, existing knowledge of digital assets ecosystem and policy issues.
• Excellent verbal and written communication skills with the ability to explain complex topics clearly and concisely to a non-technical audience.
• Capability to self-direct and drive projects with minimal supervision, effectively managing time and resources to meet deadlines and achieve desired outcomes.

What We Offer:

• Competitive base salary and discretionary bonus
• Hybrid/Flexible Working Arrangements 
• Flexible Time Off (paid)
• 3% 401(k) company contribution
• Company-paid health and protective benefits for employees, partners, and other dependents
• Generous paid Parental Leave
• Competitive family planning benefits for US employees 
• Opportunities to learn about the Crypto industry
• Smart, entrepreneurial, and fun colleagues
• Free daily snacks and weekly breakfasts/lunches 
• Employee Resource Groups
• Free virtual coaching and counseling sessions through Headspace

Apply now and join us on our mission to engineer a new economic paradigm.

Build AI that matters. We ship production GenAI apps for confidential federal programs across defense, national security, public safety, civilian, and military health where reliability, privacy, and safety aren’t optional. AFS is a technology company within global Accenture and a Glassdoor Top 100 Best Place to Work. You’ll join a collaborative, inclusive community with handson growth, certifications, and industry training. We ship in weeks, not quarters, and measure success with latency, reliability, safety, and cost. 

Confidentiality matters: We don’t disclose program details publicly. If you advance, we’ll share specifics during the process. 

Role Overview 

You’ll turn mission needs into secure, reliable, and scalable GenAI applications no model training required. This is a hands-on role across agentic workflows, RAG, prompt/policy design, LLM evaluation, and platform integration. You’ll own the end-to-end path from use case evaluation → production deployment → operational excellence, partnering with product, security, data, and SRE to ship features safely and at scale. 

What You’ll Do (Day to Day) 

• Design & ship mission grade GenAI: Build agentic workflows and RAG systems tailored to mission data and environments; target low hallucination, tight p95 latency, and predictable cost. 

• Agent frameworks & orchestration: Apply patterns from LangChain/LlamaIndex/Semantic Kernel; design task decomposition, tool use, guardrails, and recovery/fallback strategies. 

• Platform integration (no model training): Implement with AWS Bedrock, Azure OpenAI, Google Vertex AI, Amazon Kendra, and managed services (e.g., Document AI, Gemini, Gemma). 

• LLM selection & evaluation: Compare models for quality, safety, latency, cost; author/test prompts & policies; deploy with observability and safe rollback/fallback. 

• RAG done right: Build retrieval pipelines & vector search (Pinecone, Weaviate, OpenSearch, pgvector, FAISS/Chroma); handle data prep, chunking, metadata, and IRstyle evals (e.g., NDCG) to maximize signal to noise. 

• Production rigor: Instrument metrics/logs/traces; run A/B experiments; maintain incident playbooks; and implement safety & compliance guardrails. 

• SRE & FinOps for AI: Define SLIs/SLOs (quality/latency/safety/cost), run on call and postmortems, reduce MTTR; meter usage and optimize token/spend. 

• Reusable platform components: Ship SDKs, CI/CD templates, Terraform/IaC modules, evaluation harnesses that accelerate multiple mission team not one-off projects. 

• Operate in real world constraints: Deliver into hybrid, restricted, or air gapped environments with Zero Trust principles and audit ready controls. 

You'll Thrive Here If you have 

• End-to-end ownership of production systems: integration → deployment → observability → incident response. 

• Hands-on experience with LLMs, transformer based apps, and RAG in production. 

• Strong Python 

• Experience with vector search and retrieval (Pinecone, Weaviate, OpenSearch, pgvector, FAISS/Chroma) and grounding AI in enterprise/mission data. 

• U.S. Citizenship 

Nice to Have 

• Integration with leading cloud AI services or on prem inference stacks  

• Background in LLM evaluation, prompt authoring/testing, A/B experimentation, and LLM Ops. 

• Responsible AI expertise (privacy, security, bias, transparency, human in the loop) and data governance. 

• Experience implementing tool using agents for API integration and external data access. 

• Containerization & orchestration (Docker, Kubernetes, VMware) and scripting/automation (Linux Bash, PowerShell). 

• Prior work in regulated/secure environments (e.g., ATO, STIGs, Zero Trust) with fast shipping. 

• Familiarity with NVIDIA AI Foundations, OpenAI ChatGPT, and AI assisted dev tools (Cursor, Windsurf, Claude). 

• Contributions to internal frameworks or opensource; mentorship of engineers. 

• Clear communication with engineers, PMs, and security/compliance stakeholders. 

The work: 

• Support and facilitate client video creation for remote and field-based video production work. Including filming, editing, sound mixing, and motion graphic creation for a range of video products related to duties as assigned. 
• Works in collaboration with the Song Video Production Lead, creative teams, client account teams, and production staff (as needed) to produce various video products for digital distribution, including micro-documentary and a range of motion graphics animated content.  
• Create and combine motion graphics and graphic design to produce compelling and engaging video content that meets client objectives. 
• Develop high‑resolution motion graphics for LED walls used in live events, along with animated case studies, explainer videos, high‑impact sizzle reels, product release demos, After Effects character animation, and short social media animated GIFs.  
• Post-Production Plan and perform video post-production tasks for a range of deliverables including mini‑documentaries, video podcasts, sizzle reels, and product demos, which include proper media management of footage after remote and live shoots, reviewing footage and making editorial decisions, video transcoding, rough cuts, audio mixing, color correction, motion graphics and lower third titles, video compression for output, and final archiving of completed projects.  
• Support the planning and filming of live and remote studio video productions. Help set up video cameras and audio mixers. Adjust studio lighting equipment. Assist with virtual production workflows that combine LED‑wall environments with live‑action capture. Adjust audio equipment, including assorted lavalier and shotgun microphones—film “B-roll” footage and interviews for edited videos. 
• Provide limited troubleshooting of video, audio, and lighting equipment. Perform routine equipment maintenance.  
• Execute pre-production and production planning activities.  
• Communicate technical information in non-technical terms—conduct field-based video production, which may involve interacting with Client Account teams and Clients.  
• Operate portable video and audio equipment; transport and set up lighting and audio equipment as required; provide limited troubleshooting and maintenance of field production equipment.  

Here’s what you need: 

• Bachelor’s degree 
• 5+ years of experience in using Adobe After Effects to create motion graphics videos
• Experience in motion graphics, video editing, and at least a basic knowledge of professional video production practices. 
• Intermediate to advanced level of standard software applications proficiency with an understanding of current video/photo formats, codecs, project-based file management, and editing with Adobe Premiere Pro  
• Basic to intermediate experience in visual design or art direction, with experience developing graphics for video in Adobe Illustrator  
• Basic to intermediate experience in art direction to create digital storyboards with Adobe Illustrator  
• Basic to intermediate experience using generative AI tools to support video production, including AI‑assisted virtual backdrops, sound enhancement, and concept development.  
• Basic knowledge of professional video production procedures, practices, techniques, and terminology  
• Professional and DSLR video production equipment operation, including video cameras, audio recording equipment, video editing file compression, motion graphics title creation, lighting, and post-production equipment
• Must submit a reel/portfolio or samples of motion graphics and video editing work  

Bonus if you have: 

• Basic to intermediate proficiency with DaVinci Resolve Studio, including color‑correction, sound mixing, and final delivery workflows. 

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

Company Overview:

Let’s be real, AI isn’t magic; Legion was built to move beyond AI hype—delivering secure, reliable 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 strengthening mission-critical systems. We don’t replace workflows; we optimize them, ensuring quality, efficiency, and reliability inside the platforms our partners already use.

With world-class collaborators like Palantir, Nvidia, HPE, and Oracle, we’re building intelligent infrastructure that enhances human capability and drives impact at the edge and across a range of enterprises.

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

The Role:

Due to Government contract requirements, we are only able to hire US citizens or Green Card holders.
This position requires a US Department of Defense or Intelligence SECRET clearance or higher.

We’re seeking a Solutions Engineer to showcase the power of our Generative AI platform to prospective customers and partners in the US Department of Defense. In this role, you’ll architect and implement proofs of concept (POCs) that demonstrate the measurable impact Legion Intelligence can deliver to operations, critical workflows, and reporting processes.

You’ll educate customers and prospects on how Legion’s AI capabilities improve data management, intelligence accuracy, and operational efficiency, while addressing common concerns such as hallucinations, data privacy, and regulatory compliance.

Internally, you’ll act as the voice of the customer, translating domain challenges into actionable product insights to help shape the evolution of Legion Intelligence’s offerings for military applications.

This is a high-impact, cross-functional role that bridges pre-sales, product development, and customer success, requiring both technical fluency and business acumen.

Key Responsibilities:

• Engineer & Deliver POCs: Design and implement compelling technical demonstrations and proofs of concept tailored to different echelons in the armed services.
• Pre-Sales Engagement: Partner with Sales and Mission Success teams to identify customer pain points and craft technical solutions that highlight Legion Intelligence’s value.
• Customer Relationship Building: Establish trust with technical and business stakeholders, providing clear assessments of AI readiness, compliance implications, and expected mission impact.
• Product Evangelism: Represent customer needs internally by sharing insights on operational workflows, system integration requirements, and emerging trends in AI adoption.
• Technical Leadership: Lead pre-sales presentations, workshops, and demos, translating technical AI concepts into business impact for non-technical audiences.
• Continuous Improvement: Relay feedback to engineering and product teams to refine features, improve model performance, and enhance user experience for specific use cases.
• Willingness to travel 25% to customer locations, company events, and conferences.
• Willingness to work regularly on site at customer locations in the Tampa Area.

Qualifications:

• An active US Department of Defense or Intelligence SECRET or TS/SCI clearance (no polygraph required).
• 4+ years of experience in pre-sales engineering or solutions architecture, ideally serving government clients.
• Ability to understand and translate AI capabilities for DoD applications, such as data classification, and regulatory compliance automation.
• Proficiency with Python or similar scripting languages.
• Strong understanding of operational workflows, including opportunities for automation and AI-driven optimization.

 
Preferred Qualifications:

• Experience working in a startup or fast-scaling technology environment.
• Demonstrated success partnering with US Military, 
• Experience designing AI or data automation solutions.
  
  

Why Legion Intelligence:

• Opportunity to be at the forefront of enterprise AI adoption in one of the world’s most data-sensitive industries.
• Work alongside experts in AI, data infrastructure, and enterprise sales.
• Competitive compensation, remote flexibility, and a culture of curiosity, impact, and integrity.