MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.

As a Staff Technical Program Manager, you will own the successful delivery of complex, cross-functional efforts. You will partner closely with stakeholders across the organization from Engineering, Product, Product Design, and even Field-facing teams to develop and execute against our overall product vision and business objectives, uncover solutions to technical challenges, and provide data-driven insights that power strategic decision-making.

We are looking to speak to candidates who are based in Atlanta, Austin, Baltimore, Boston, Charlotte, Chicago, Columbus, Dallas, Miami, Nashville, New York City, Philadelphia, Raleigh, Washington DC, Tysons for our hybrid working model.

Position Expectations

• Leverage technical acumen and analytical skills to drive engineering programs forward and maximize business value delivery
• Recognize patterns in a sea of information and take action accordingly
• Develop a strategic approach to program management that balances agility and process. This involves discerning when to provide direct guidance and when to empower teams by establishing clear frameworks and guidelines for ongoing initiatives
• Build strategic partnerships with Product, Design, and Engineering stakeholders
• Expand knowledge into new domains as called upon
• Act as a mentor to junior TPMs and lead by example
• Embody MongoDB's core values and leadership principles

The right candidate for this role will be

• Experienced with 10+ years of working in an engineering organization leading complex cross-functional technical programs
• Experienced with 5+ years of Software development background
• Able to partner with technical stakeholders in methodically breaking down engineering challenges to deliver against abstract goals
• Able to participate in technical design discussions and summarize trade-offs, outcomes, and next steps
• Skilled at communicating across a diverse set of engineers and stakeholders
• Capable of deep user empathy and adept at balancing product goals and engineering constraints to deliver impactful experiences
• Hyper-organized and capable of coordinating across multiple independent work streams and organizations
• A role model for effective execution practices, driven by an attuned sense of priority and urgency
• Able to leverage their experience in program delivery to influence improvements to our tools, operations, architecture
• Trained in working with project tracking software (e.g. Jira, Rally, MS Project)
• Familiar with MongoDB or a comparable technology

Nice to have!

• Exposed to generative AI and Machine Learning
• Interested in business automation work such as scripting in Python, Google Apps Script and Slack
• Familiar with tools and methodologies for code analysis, refactoring, and automated testing

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: 2263203305

Purpose

As a Proposal Manager, you will sit at the center of Divergent’s most critical growth efforts and own the development and execution of complex, high-value proposals from initial strategy through final submission. You will serve as the connective tissue across program management, business development, engineering, legal, finance, and executive teams, ensuring all contributors are aligned while juggling multiple proposal responses and ensuring they stay on track for successful delivery. 

You will drive response strategy, shaping how Divergent’s capabilities are positioned against customer requirements and competitive dynamics. This includes highlighting strengths, identifying risks, and working directly with technical subject matter experts to refine solutions and mitigate gaps. You will own proposal planning, generation, execution, and submission end-to-end, including compliance, review cycles, pricing alignment, and final submission. 

This role requires exceptional project management and attention to detail, as well as creativity, critical thinking, and bias towards action.  

The Role

• Own end-to-end proposal responses, serving as primary author and integrator of cross-functional inputs
• Develop response structure and compliance, ensuring adherence to solicitation instructions and all applicable federal, prime, and regulatory requirements
• Translate complex technical inputs into clear, compelling narratives that highlight Divergent’s differentiated capabilities and align to evaluation criteria, while maintaining consistency across volumes
• Drive response strategy in partnership with business development teams, including win themes, differentiators, and competitive positioning
• Partner with business development, program management, and executives to drive pricing strategy and price-to-win alignment, increasing proposal competitiveness and PWIN.
• Coordinate and manage complex, cross-functional review cycles, ensuring actionable feedback is incorporated effectively and on schedule
• Track customer priorities and competitive dynamics to continuously refine bids and positioning
• Support drafting a range of informational and marketing materials, such as white papers, pitch decks, and more.

Basic Qualifications

• Ability to lawfully access information and technology that is subject to US export controls 
• 5+ years of experience in proposal management or similar writing- and project management–intensive roles, with a strong track record of delivering high-quality, technically complex, deadline-driven work
• Able to bring structure to ambiguous, fast-moving environments
• Bias towards action and proven ability to manage complex, cross-functional efforts with multiple stakeholders under tight deadlines while maintaining high standards for quality and compliance
• Exceptional writing and communication skills, with the ability to synthesize technical, legal, and business inputs into clear, persuasive narratives
• Highly organized, detail-oriented, and capable of managing multiple concurrent proposals at different stages
• U.S. citizen eligible and willing to obtain a Secret or Top Secret security clearance

Preferred Qualifications

• Experience operating in fast-paced, innovation-driven environments such as software, advanced manufacturing, or similar
• Familiarity with standard bid and proposal processes, with the judgment to adapt them for speed and agility in non-traditional contracting environments
• Demonstrated experience managing large, complex proposals (e.g., multi-volume RFPs, IDIQs, or strategic captures) end-to-end and winning major contracts
• Strong understanding of federal acquisition processes, procurement cycles, and government contracting frameworks
• Experience supporting pricing strategy, including collaboration on cost volumes and price-to-win

Work Environment

• This position will be based either in Washington DC (remote) or hybrid/onsite in our Torrance, CA office

Compensation

At Divergent, our pay range is based on the level of the job. For this role, we will consider candidates at levels S05 - S06 as evaluated through our interview process. 

• S05/Senior level: $115,670 - $159,050
• S06/Lead level: $133,580 - $183,680

ABOUT THE TEAM

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested war-fighting domain.

ABOUT THE JOB

We are looking for a Senior Tracking Software Engineer to join our rapidly growing team in Washington DC. In this role, you will lead the development of advanced 2D and 3D tracking algorithms that maintain custody of space objects, processing sensor detections and messages into actionable tracks for space situational awareness missions. As a senior member of the team, you will architect and implement sophisticated multi-target tracking systems using cutting-edge state estimation and data association techniques, develop physics-based models to validate performance, and mentor engineers while working closely with software teams to deploy your algorithms into operational systems. You will drive technical decisions, lead design reviews, and serve as a subject matter expert in tracking algorithms. This will require deep expertise in tracking algorithms, state estimation (Kalman filtering), data association methods (JPDA, MHT), proficiency in MATLAB, Python, and C++, experience with modeling and simulation, and demonstrated technical leadership. If you are someone who enjoys solving challenging tracking problems involving clutter, maneuvering targets, contested sensing environments, and real-time mission constraints while guiding others to do the same then this role is for you.

WHAT YOU’LL DO

• Lead systems engineering and algorithm development tasks supporting space and missile defense tracking missions, providing technical direction and guidance to team members
• Architect and implement advanced object tracking and state estimation algorithms, including track initiation, maintenance, correlation, and termination
• Design and evaluate multi-target tracking and multi-sensor fusion approaches for EO/IR, RF, or hybrid sensor architectures
• Lead the implementation of advanced data association techniques including JPDA (Joint Probabilistic Data Association), MHT (Multiple Hypothesis Tracking), nearest neighbor, and track-to-track fusion methods
• Drive innovation in data association techniques, exploring novel approaches and optimizations for complex operational scenarios
• Build sophisticated physics-based models and conduct modeling and simulation including Monte Carlo analysis, recorded sensor playback, and hardware-in-the-loop testing to validate tracking performance
• Lead performance analysis, trade studies, and simulation-based assessments of tracking robustness under challenging conditions (maneuvering targets, clutter, countermeasures, degraded sensing)
• Collaborate with and mentor software engineers to transition tracking algorithms from MATLAB/Python prototypes to production C/C++ code optimized for real-time operational systems
• Drive the systems engineering lifecycle including requirements decomposition, trade studies on tracking approaches, verification and validation planning, and design reviews (SRR, PDR, CDR)
• Lead technical documentation efforts and present at design reviews (SRR, PDR, CDR) and customer engagements
• Mentor engineers in tracking algorithm development, state estimation theory, and best practices
• Serve as a technical subject matter expert for tracking systems, advising program leadership on algorithm performance, risks, and opportunities

REQUIRED QUALIFICATIONS

• Currently possesses and is able to maintain an active U.S. Secret security clearance
• Bachelor's degree or higher in Electrical Engineering, Computer Engineering, Aerospace Engineering, Applied Mathematics, Physics, Computer Science, or related technical field
• 8+ years of experience designing, implementing, and testing multi-target tracking algorithms for aerospace, defense, or autonomous systems
• Demonstrated technical leadership in tracking algorithm development, including leading design efforts, mentoring team members, or serving as a subject matter expert
• Deep theoretical and practical expertise with state estimation techniques, including Kalman Filters (EKF, UKF), multi-target tracking concepts, and Interacting Multiple Model (IMM) filters
• Proven experience developing tracking algorithms that handle track initiation, maintenance, correlation, and termination in operational systems
• Expert proficiency in algorithm development using MATLAB and/or Python with demonstrated experience transitioning algorithms to C++ for production deployment
• Extensive experience with modeling, simulation, and testing workflows including Monte Carlo analysis, sensor data playback, or hardware-in-the-loop environments
• Strong ability to work collaboratively with software engineers, systems engineers, and test teams to integrate tracking algorithms into operational systems
• Excellent communication skills with experience presenting technical concepts to diverse audiences including engineers, program managers, and customers

PREFERRED QUALIFICATIONS

• Advanced degree (MS or PhD) in Engineering, Physics, Applied Mathematics, or related technical field
• 10+ years of experience in tracking algorithm development for defense or aerospace applications
• Experience in one or more of the following domains: missile defense or space systems; EO/IR or RF sensors; kill vehicles, interceptors, or countermeasures
• Extensive experience handling challenging tracking scenarios including track fragmentation, ghost tracks, sensor outages, and high-clutter environments
• Deep familiarity with real-time system constraints, embedded systems, or edge compute optimization
• Demonstrated experience leading efforts within the systems engineering design cycle, including requirements decomposition and traceability, algorithm design and trade studies, verification and validation (V&V), and documentation and design reviews (SRR, PDR, CDR)
• Experience with MBSE tools (Cameo, Rhapsody, DOORS)
• Experience with advanced tracking techniques such as Random Finite Set (RFS) methods, Probability Hypothesis Density (PHD) filters, or machine learning-enhanced tracking
• Publication record in peer-reviewed journals or conferences related to tracking, state estimation, or sensor fusion
• Experience briefing and interfacing with government customers (DoD, IC, or similar)
• Track record of delivering tracking solutions into operational systems or fielded products

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

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

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

Job Duties and Responsibilities: 

AI-Driven Automated & Insights Deck Creation:

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

Customer-Centric Approach:

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

Scalability and Product Alignment:

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

Data-Informed Decision Making:

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

Collaboration and Feedback:

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

Minimum Required Skills and Abilities:

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

Qualifications:

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

#LI-Remote
P22165

Recorded Future provides intelligence that 1,500+ clients use to defend their people and networks from cybersecurity threats. Our intelligence data provides analytics for many security and risk management needs. This data is derived from technical data, threat actor monitoring, social media, open sources, and other data sources. In this role, your mission is to design, build, and deploy the next generation of AI Agentic systems that process and enrich this intelligence data autonomously.

In this Senior Software Engineer role, you will be a key individual contributor, driving the development of resilient, scalable software systems focused on leveraging Large Language Models (LLMs) and autonomous agents for data processing, analysis, and threat detection. You will be responsible for building sophisticated, production-grade applications that enrich our threat intelligence, and you will mentor junior engineers, fostering technical excellence and best practices.

What You’ll Do:

• Design, develop, and deploy highly reliable and scalable software systems, specializing in AI Agentic tooling and ML applications.
• Serve as a technical leader in the implementation of frameworks and best practices for creating, evaluating, and safely deploying autonomous AI agents in a production environment.
• Collaborate with engineering managers and cross-functional teams to integrate AI Agent solutions across the platform.
• Drive engineering excellence by conducting rigorous code reviews, focusing on code quality, performance optimization, and operational maturity.
• Lead the technical design and architectural discussions for new features and components within the AI Tooling roadmap.
• Manage project tasks through an agile SDLC, ensuring timely delivery and high-quality results.

What You’ll Bring:

• Strong technical background in software engineering, with deep expertise in building and scaling distributed systems.
• Expert-level proficiency in Python and related ecosystem for production AI/ML applications.
• Proven track record as a senior individual contributor, designing and delivering complex software solutions.
• Technical skills with modern cloud platforms (e.g., AWS, GCP, Azure) and engineering workflow tools (e.g., Jira, Git).
• Deep understanding of the AI Agent paradigm, including hands-on experience with LLMs, prompt engineering, agentic loop design, and retrieval-augmented generation (RAG).
• Experience driving coordinated action between cross-functional teams (product, research, stakeholders) working from different locations around the world.
• A pragmatic mindset and a strong focus on delivering measurable, high-impact results.
• A keen curiosity for cybersecurity and finding innovative ways to apply AI Agent technology to keep our clients safe.

The base salary range for this full-time position is $129,000- $193,500. Our salary ranges are determined by role, level, and location. The salary displayed reflects the range for new hire salaries for the position across all US locations. Within the range, individual pay is determined by state, work location and additional factors, including job-related skills, experience, and relevant education or training. This position may be eligible for incentive compensation, equity, and medical, dental, vision, life insurance and 401K. Your recruiter can share more about the specific details of the compensation and benefit package during the hiring process.

#LI-Remote

Role Summary

We’re looking for a Digital Content & AI Automation Manager to lead our transition to 'Vibe Marketing.' Inspired by the shift toward Vibe Coding, we want to bridge the gap between creative intent and digital execution. You’ll move Okta away from manual tickets and rigid CMS forms toward an agentic, self-service model—building the tools that allow marketers to describe a goal in natural language and see it manifest across our digital ecosystem.

This is a test, learn, build, iterate role. You aren't just managing a stack; you’re building an autonomous engine that empowers every marketer to be a creator.

What You’ll Actually Do

• Build the "Vibe Marketing" tools: Create the workflows and agentic layers that allow non-technical stakeholders to manage and scale digital content across its entire lifecycle using natural language and AI assistance.
• Develop Agentic Support Models: Prototype and deploy AI agents that act as "co-pilots" for Marketing Managers—handling everything from automated tagging and metadata to complex distribution across our headless ecosystem.
• Architect Self-Service Systems: Reduce the "time-to-live" by building modular, reusable content structures that agents can manipulate, moving us beyond the constraints of traditional platforms like Adobe Experience Manager.
• Operate Like a Lab: Run rapid experiments with emerging AI tools and automation platforms. Build scrappy prototypes—not just strategy decks—to prove that "vibe-based" creation works at enterprise scale.
• Partner Across Teams: Bridge the gap between "what if" and "here’s how," working with Marketing, Engineering, and Digital teams to turn agentic concepts into production-ready workflows.

What We’re Looking For

• The "Vibe" Mindset: You understand the shift from "doing the work" to "directing the agents." You’ve followed the Vibe Coding movement and are itching to apply it to Marketing Tech.
• 4–8 Years of Experience: You’ve seen the limitations of legacy CMS architectures and are ready to bypass those bottlenecks by building a modern, agent-led content supply chain.
• Hands-on AI & Automation: You don't just prompt; you build. You have experience with APIs, MCP, LLM orchestration, and connecting tools to create seamless loops.
• Technical Fluency: You aren't a full-stack engineer, but you understand how to navigate enterprise complexity—you're comfortable with structured content, and the logic of how data flows between a headless CMS, an LLM, and the front-end.

#LI - Hybrid

P24086_3333054

Engineering

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.

What you’ll do

Brex’s Governance, Risk, and Compliance function is at an exciting and pivotal point in our maturity journey and we’re seeking a team member who can seamlessly bridge compliance expertise with technical execution. As a Senior GRC Engineer, you will drive critical GRC processes that mitigate risk, keep us compliant, and build trust with our customers and partners. You'll evolve the technical foundation of our Trust program by automating security controls, building integrations between security tools and GRC platforms, and creating scalable processes that enable Brex to maintain compliance efficiently as we expand into new markets. You'll work at the intersection of security, engineering, and compliance — translating regulatory requirements into technical solutions and building automation that eliminates manual toil.

You'll leverage your deep understanding of SOC 2, PCI DSS, ISO 27001, AI governance frameworks, and others to both design controls for emerging compliance requirements and mature existing programs through automation and continuous monitoring. You’ll support Trust Assurance, Third Party Risk Management, and other Security Risk Management initiatives. Working with our Engineering, Infrastructure, and Product teams, you'll translate compliance frameworks into technical controls and build automated systems that help us achieve world-class security as Brex expands.

Your contributions will directly accelerate Brex's maturity. You'll design workflows using Tines, build integrations between security and GRC systems, and create dashboards for security metrics. You'll implement controls across the technology stack, support multiple audits (SOC 2, PCI DSS, SOX/ITGC, FINRA, ISO), and contribute to AI governance framework implementation (ISO 42001, NIST AI RMF, EU AI Act).

You'll have autonomy to build innovative solutions, collaborating cross-functionally to implement controls that enable growth while communicating technical concepts effectively across the organization.

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 three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Manage and scale IT infrastructure, services and tooling
• Work with a diverse group of  IT partners to optimize our provided services
• Implement new services in support of Information Technologies vision
• Scale our services by implementing configuration as code via Terraform providers or APIs
• Operationalize and upskill IT and its partners by producing documentation and leading training sessions
• Evangelize best practices both internally and externally facing

Requirements

• 5+ years of experience in GRC, IT Governance, or Security Engineering with a strong track record of automating manual compliance workflows.
• Deep experience with security frameworks such as SOC 2, PCI DSS, ISO 27001, and NIST CSF, specifically within cloud-native environments.
• Technical proficiency in Python (or similar scripting languages) and experience building integrations using APIs to connect security tools with GRC systems. You can read code, design integrations, and understand technical implementations.
• Builder mindset with the ability to design and implement automated control testing, continuous monitoring, and data-driven security metrics. You see manual processes and immediately think about how to automate them.
• Exceptional cross-functional collaboration and communication skills. You can translate complex compliance requirements into technical specifications that engineering teams can actually implement and influence stakeholders across technical and non-technical domains.
• Strong systems thinking. You have the ability to design scalable GRC architectures that grow with the company, rather than just solving for the immediate audit.
• Bias for action. You’re a self-starter who ships solutions quickly and iterates based on feedback. 

Bonus points

• Previous experience in Fintech or banking environments navigating complex regulatory landscapes.
• Hands-on experience with Tines or other SOAR platforms to automate security operations.
• Familiarity with AI/ML governance frameworks (NIST AI RMF, ISO 42001) or securing agentic systems.
• Deep knowledge of Cloud Security (AWS/GCP), infrastructure-as-code (Terraform), or DevSecOps practices.
• Relevant industry certifications such as CISSP, CISA, or CCSP.
• Experience building metrics dashboards for security visualization and reporting.
• Active contributions to the GRC or Security community through open-source projects or public research.

Compensation

The expected salary range for this role is $153,600 - $192,000. 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.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

As a Senior Technical Delivery Manager (TDM), you’ll guide client engagements from ideation to deployment for some of the world’s largest enterprises. You’ll be responsible for understanding client needs through data, conversations, and any other means necessary. You’ll work closely with Engineering, Design, and Sales.  You’ll face problems that require a mix of technical knowledge, creativity, critical thinking, and business acumen.

To strengthen our growing delivery team, we are looking for an experienced TDM who is passionate about transforming technology into critical business value. The TDM will partner with and work closely with engineering teams and the client to orchestrate the delivery of our flagship solution. This role will consider applicants from either the Washington DC Metro Area or San Francisco Bay area.

Role Responsibilities - How You Will Make An Impact:

• Orchestrate: Work with clients, the business, and engineers to set strategy and collect and prioritize requirements.  Manage requirements documentation, milestone mapping, prioritization, and communication to facilitate project collaboration.
• Execute: Work with data scientists, machine learning engineers, software engineers, and designers to build products that delight our customers. Proactively identify assumptions, dependencies, issues, risks and drive discussions across the team to develop mitigation plans and implementation paths. Maintain compliance with IT and security policies and procedures.
• Strategize: Think widely about potential applications of machine learning and natural language processing techniques, translating capabilities built for individual clients into new features or customization options for our core products.

Relevant Skills and Experience:

• 5+ years of experience in a professional environment, ideally within a SaaS-based company
• Proven success managing large-scale enterprise data integration projects that are highly technical and cross-functional in nature
• Skilled in gathering and prioritizing requirements, leading scope discussions, and aligning on project priorities
  Comfortable working across internal functions (Engineering, Product, Security, Compliance, Customer Experience, etc.) and with external client stakeholders
• Strong technical understanding with the ability to contribute to system design conversations and drive enterprise data and architecture initiatives
• Experience working with DoD or public sector clients and understanding of relevant processes (e.g., FedStart, ATO)
• Must hold an active Top Secret (TS) security clearance; TS/SCI strongly preferred

Bonus Points:

• Familiarity with machine learning workflows and core data science concepts (e.g., classification vs. regression, feature engineering, model selection and tuning, deployment considerations)
• Understanding of ML algorithms, database structures, or data pipeline development
• Background in coding or working closely with engineering teams

The annual cash compensation range for this position is US$180,000 to US $220,000.  Final compensation will be determined based on experience and skills and may vary from the range.

Software Engineering Analyst 

Start Your Career Where Innovation Meets Purpose 

At Accenture Federal Services, we help the U.S. federal government make the nation stronger, safer, and better for all. Our 13,000+ team members are united by a shared purpose: to harness the limitless potential of technology and human ingenuity for clients across defense, national security, public safety, civilian, and military health organizations.  

Join a collaborative and caring community where you belong, and where your growth is our priority. As an entry-level analyst, you’ll gain hands-on experience, earn industry certifications, and receive structured training that builds on your engineering mindset—applying creativity and analytical thinking to solve real-world challenges.  

We’re writing the playbook for how to be the most AI-enabled, client-focused, and people-first organization. Our reinventors are driving faster value for clients and shaping the future of government services.  

Are you ready to reinvent what’s possible?  

It’s your career, your life, and your choice. Let’s build something that matters—together.  

The Opportunity 

At AFS, our Software Engineering Analysts are at the forefront of building mission-critical solutions for the U.S. federal government. You’ll begin your journey with immersive training in full-stack development, cloud-native engineering, and modern software practices—preparing you to tackle real-world challenges with cutting-edge tools.  

In this role, you’ll apply your engineering mindset to design, develop, and deploy secure, scalable software systems that integrate advanced AI capabilities. You’ll work side-by-side with teammates to solve complex problems across defense, national security, and civilian sectors—leveraging the power of Gen AI and emerging technologies to deliver faster value.  

What You’ll Do: 

• Experiment and be an early adopter of emerging technologies and next-generation IT tools, including genitive AI, intelligent agents, and edge computing 

• Leverage advanced engineering frameworks such as Agentic AI to accelerate solution development and automate complex workflows. 

• Design and build full-stack applications using languages like Python, Java, and JavaScript, and frameworks such as React, Node.js, and Spring Boot. 

• Deploy cloud-native solutions on platforms like AWS, Azure, or GCP using containers (Docker, Kubernetes), serverless functions, and infrastructure-as-code. 

• Integrate AI/ML models into production systems using various tools, optimizing for performance, stability, and ethical use.  

• Collaborate in agile teams to deliver secure, resilient, and innovative software that supports federal missions and improves citizen services.  

What You’ll Learn 

• AI engineering fundamentals, including model deployment, orchestration, and responsible AI practices. 

• Agentic system design and how autonomous agents can drive mission outcomes. 

• DevSecOps, CI/CD pipelines, and secure software development lifecycle (SDLC) tailored for federal environments. 

• How to rapidly prototype and iterate using modern engineering methods and cloud-native architectures.  

Basic Qualifications 

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Electrical Engineering, or a related STEM field, with a graduation date no later than August 31, 2026. 

• Strong foundation in programming languages and familiarity with software development methodologies (Agile, DevOps) and version control systems (e.g., Git).  

• U.S. citizenship required (due to federal contract requirements) 

• Ability to travel 25-50% preferred, but requirements vary by team and location. 

Preferred Qualifications 

• Strong academic track record (3.0 cumulative GPA required, 3.2 cumulative GPA preferred) from a 4-year accredited institution. 

• Coursework or hands-on experience in multiple programming languages, modern frameworks, architectures, databases, cloud platforms, and AI/ML. 

• Experience with full-stack development frameworks and knowledge of secure coding practices and software testing methodologies. 

• Familiarity with AI frameworks and exposure to Agentic AI concepts or autonomous system design.  

• Ability to work collaboratively in cross-functional teams and communicate technical concepts clearly.  

• Active security clearance or eligibility to obtain one. 

Work Model 

Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.  

• If this position is listed as remote or hybrid, you’ll periodically work from an Accenture Federal or client site facility.  

• If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for a specific role.  

This is more than a job—it’s a launchpad for a technical career in federal innovation. Whether you aspire to be a cloud engineer, AI integration specialist, or software architect, we’ll support your growth with mentorship, certifications, and access to the latest technologies through the Analyst Development Program (ADP).  

Okta’s Strategic Sourcing and Procurement (SS&P) team is looking for an experienced Category Manager to join our team to co-lead global sourcing activities for indirect services. This includes leading projects and contract negotiations for various spend categories such as Professional Services (Consulting, Finance & Legal), Facilities, and HR. 

In this role, you will be a trusted partner to our stakeholders, guiding them throughout the entire sourcing process. You will be responsible for developing and executing the sourcing strategy for the Professional Services and HR categories, leading complex negotiations, and driving cost-saving initiatives while maintaining service quality.

We are looking for a proactive, organized, and collaborative individual who works well in a fast-paced environment. This role will report to the Manager, Strategic Sourcing -  Indirect. The is a hybrid role (2 days a week in office) and must be based in either  Bellevue, WA, or the San Francisco Bay Area.

Key Responsibilities:

• Category Strategy & Planning: Develop and execute proactive sourcing strategies for the Professional Services, Facilities and/or HR categories, working closely with functional groups to understand their long-term needs and deliver tangible value.
• Sourcing & Project Management: Manage the entire lifecycle of sourcing projects from end-to-end, including conducting RFIs, RFPs, and market assessments to lead supplier selection activities.
• Contract Negotiation: Lead commercial term negotiations for project-level agreements (Statements of Work, Order Forms) and partner with Legal on Master Service Agreements (MSAs) or various Exhibits, ensuring favorable terms and compliance.
• Cost Optimization: Identify and implement cost-saving opportunities through strategic negotiations and process improvements. Develop and track KPIs to measure savings and value.
• Stakeholder Partnership:  Build strong relationships with stakeholders to understand their objectives and align procurement initiatives with their business requirements.
• Supplier Relationship Management: Build and maintain strong relationships with key suppliers, ensuring they meet performance expectations, quality standards, and contractual agreements.
• Process, Governance & Compliance: Ensure adherence to Okta’s SS&P policies and procedures. Help develop and implement governance to drive performance, mitigate risk, and improve operational efficiency.
• Data Analysis & Reporting: Conduct internal and external data analysis to provide clear, actionable insights. Regularly update leadership on strategy progress, savings, and market trends.

Qualifications:

Minimum Qualifications:

• Bachelor’s degree in Supply Chain Management, Business, Finance, or a related field.
• 3-5 years of Strategic Sourcing experience within indirect/services categories and overall procurement experience.
• Proven ability to lead contract and commercial term negotiations.
• Independently run and manage RFPs.
• Experience managing multiple projects in a fast-paced, dynamic environment.
• Strong analytical, problem-solving, and project management skills.
• Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
• Familiarity with the procure-to-pay process and proficiency in tools like Google Workspace and MS Office Suite (Excel, PowerPoint). 

Preferred Qualifications:

• Professional certifications such as CSCP, CPSM, or CPIM.
• Strong negotiation skills and experience in leading negotiations across various services and indirect categories
• Ability to be responsible for multiple projects with tight target dates
• Familiarity with the procure-to-pay process and vendor management principles
• Excellent project management and time management skills
• Proficiency with analytics and reporting
• Experience with ERP and financial systems. Familiarity with Coupa, Workday/ScoutRFP is a plus

#LI-MK1

#LI-hybrid

P25146_3434223

Okta’s Strategic Sourcing and Procurement (SS&P) team is looking for an experienced Category Manager to support and lead sourcing activities for our Marketing spend globally. The primary objective of this position is to maximize value, minimize risk, and ensure our marketing team has the supplier support it needs to succeed.

In this role, you will be a trusted partner to our Marketing stakeholders, helping to standardize and streamline procurement processes. You will be responsible for developing and executing the sourcing strategy for the Marketing category, leading complex negotiations, and driving cost-saving initiatives while maintaining service quality.

We are looking for a proactive, organized, and collaborative individual who works well in a fast-paced environment. This role will report to the Manager, Strategic Sourcing -  Marketing. The is a  hybrid role (2 days a week in office) and must be based in either  Bellevue, WA, or the San Francisco Bay Area.

Key Responsibilities:

Qualifications:

• Bachelor’s degree in Supply Chain Management, Business, Finance, or a related field.
• Minimum of 3+ years of experience in strategic sourcing and procurement, with experience in Marketing including Creative & Brand, PR/Communications, Swag, Paid Media, Web Marketing and Events
• Proven ability to lead contract and commercial term negotiations independently.
• Experience managing multiple projects in a fast-paced, dynamic environment.
• Strong analytical, problem-solving, and project management skills.
• Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
• Familiarity with the procure-to-pay process and proficiency in tools like Google Workspace and MS Office Suite (Excel, PowerPoint). 

Preferred Qualifications:

• Professional certifications such as CSCP, CPSM, or CPIM.
• Strong negotiation skills and experience in leading negotiations across various services and indirect categories
• Independently run and manage RFPs
• Ability to be responsible for multiple projects with tight target dates
• Familiarity with the procure-to-pay process and vendor management principles
• Excellent project management and time management skills
• Proficiency with analytics and reporting
• Experience with ERP and financial systems. Familiarity with Coupa, Workday/ScoutRFP is a plus

#LI-MK1

#LI-hybrid

P-3180_3357990

What we are looking for

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all.

We're searching for a Staff Security Engineer to join our Enterprise Security Engineering team, reporting to the Technical Lead Manager of Security Engineering.

Aurora is scaling its autonomous trucking operations, and the security foundations protecting our employees, devices, internal systems, and data need to scale with us. We're looking for a deeply technical enterprise security engineer who is as comfortable in a code editor as in a security console — you build the systems that make Aurora's security operations possible. This is a role for someone who can architect robust enterprise security solutions, write the code to implement them, and partner across Engineering and IT to make sure security is embedded from the start, not bolted on at the end.

This is not a security operations-only role. It sits squarely in enterprise security engineering, where the work is designing, building, and owning the platforms, integrations, and automation that power Aurora's internal security posture at scale.

In this role you will

• Own the architecture and implementation of Aurora's enterprise security controls — designing the systems and integrations that protect Aurora's endpoints, identities, internal infrastructure, and SaaS environment.
• Design and build Aurora's security telemetry and detection infrastructure, including log pipelines, SIEM integrations, and alerting frameworks — in partnership with the Security Operations Engineer who owns ongoing tuning and rule development.
• Define and enforce enterprise security standards, conducting architecture and design reviews to ensure alignment with Aurora's security posture and risk tolerance.
• Partner with IT, Infrastructure, and Engineering teams to embed security requirements early — shifting left on corporate IT initiatives before they become technical debt.
• Build automation and tooling that extends the capabilities of Aurora's security platforms, reduces manual operational burden, and scales the team's impact.
• Serve as the escalation point for enterprise security incidents requiring engineering-level investigation or remediation, and participate in the team's on-call rotation.
• Translate security strategy into concrete, executable engineering projects with clear milestones and measurable outcomes.

Required qualifications

• 12+ years of hands-on experience in enterprise security engineering or corporate information security — specifically securing employee-facing systems, endpoints, identities, and internal infrastructure (not product or application security).
• Proficiency in at least one programming language, used in a security context — writing production-quality automation, integrations, or internal tooling (the team primarily uses Go; Python is also common).
• Experience architecting and integrating enterprise security platforms — designing API integrations, automating workflows, and building tooling that extends platform capabilities across domains such as EDR/XDR, MDM, IAM/IGA, DLP, SaaS security, cloud security, or PKI.
• Experience designing and building security telemetry pipelines and detection infrastructure — log ingestion, normalization, SIEM integration, and alerting architecture.
• Experience leading cross-functional security engineering projects — defining scope, driving execution, and aligning stakeholders across Engineering and IT.
• Track record of conducting security architecture reviews and translating findings into actionable, risk-prioritized remediation plans.
• Experience evaluating security posture and identifying systemic gaps, with a bias toward building durable solutions rather than one-off fixes.

Desirable qualifications

• Experience with Zero Trust architecture and identity-centric security models (BeyondCorp-style or similar).
• Familiarity with NIST CSF, MITRE ATT&CK, and CIS Benchmarks as engineering inputs — used to inform what to build and how to validate it, not just as compliance checkboxes.
• Hands-on AWS security experience (SCPs, GuardDuty, Security Hub, IAM, etc.) and familiarity with integrating cloud security signals into a corporate security platform.
• Experience with applied cryptography and PKI in a production enterprise environment — certificate lifecycle management, CA design, or secrets management.
• Familiarity with securing AI/ML platforms or applications built on LLMs, RAG pipelines, or MCP-based architectures.
• Security certifications such as CISSP, GCED, GREM, or similar (valued but not required).

The base salary range for this position is $189,000 - $274,000 per Year. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

#Mid-Senior 

Location: This role is based at our Bothell, WA office, with the option to work a few days a week remotely.
Travel: 5% or less
Job ID: 1491 

The Role: 

We’re looking for a Senior System Operations Engineer for our bleeding edge quantum computers that are based on trapped ion technology. You’ll be part of a cross-functional team whose mission is to operate and improve IonQ’s industry-leading quantum computers. In the first three months on the job, you’d be learning how to maintain our quantum computers’ hardware and software. Recent graduates in physics and related fields are encouraged to apply; we will train you in quantum computer maintenance and operation!

Responsibilities:

• Participate in follow-the-sun on-call rotations to keep our systems running at peak performance.
• Ensure high uptime and performance of our commercial quantum computers, through alert response, monitoring, and engineering of state-of-the-art quantum computers.
• Work collaboratively with other System Operators on improvements and processes and practices to make operating quantum systems easier and more efficient.
• Communicate with customers to coordinate access and inform on system status.
• Remotely interfacing with quantum systems to impact performance using documented procedures.
• Interpreting telemetry to aid in deeper understanding of quantum system status. 
• Clearly communicating with teams working across multiple timezones.

Requirements:

• Bachelor’s or Master’s degree in physics, engineering, or another physical science
• Desire and capability to work closely on a team that is distributed - excellent communication skills and a collaborative mindset
• Hands on experience with optical alignments, laser stabilization, and/or AOMs
• A propensity for learning new things and fascination with emerging technologies
• Formal training or education in statistics
• Capable of adapting for an ever-growing and ever-changing work environment
• Disposition to work flexible working hours, on a 24/7 oncall shift where the rotation changes as needed
• 1+ year laboratory experience in atomic and/or optical physics

Preferred Qualifications:

• PhD in physics, engineering, or another physical science
• Deep experience with Javascript or Python
• A background in data analysis, data science, or machine learning
• Software Engineering experience

The approximate base salary range for this position is $114,750 - $150,237. The total compensation package includes base, bonus, equity, and a range of benefit options found on our career site.

IonQ is the world's most powerful and only vertically integrated full-stack quantum platform company. We are pushing past the limits of classical physics and current supercomputing technology to unlock a new era of quantum capabilities, based on trapped-ion technology. Quantum technologies have the potential to impact every area of human society for the better. IonQ’s comprehensive quantum platform will soon redefine industries like medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and more. IonQ is at the forefront of this technological revolution.

We are seeking a Senior Director, Quantum Platform Product Marketing to lead cross-platform narrative development and alignment, launch coherence, GTM playbook development, as well as industry- and region-specific narrative adaptation for our full-stack quantum platform and growing technology portfolio.

In this role, you will align executive leadership, product, and go-to-market teams around a unified platform narrative, ensuring consistent framing, language, and claims across customer, partner, analyst, and investor engagements. You will lead the work to establish and maintain a unified, credible market story that positions the company as a long-term platform leader while enabling each product family within the platform to maintain differentiated technical authority. 

The Senior Director will work closely across product lines to lead launches and major product and technology milestones into market – ensuring every release reinforces platform and category momentum and market leadership. In parallel, this leader will support the development of materials that tune the platform narrative for key industries and geographies, enabling relevant, high-quality executive conversations globally.

This high-impact role sits at the intersection of product strategy, GTM execution, technical storytelling, and market education – and is ideal for a tech-forward, commercially-minded product marketing leader who thrives in emerging technologies and wants to play a key role in shaping how we define and lead a category. 

Key Responsibilities Include:

• Translate product-level messaging, claims, proof points, and terminology in alignment with the company’s full-stack quantum platform narrative, demonstrating that the platform as a whole is greater than the sum of each individual part, while preserving technical credibility for each underlying product family.
• Ensure platform narrative consistency across all product lines and releases, proactively identifying and resolving gaps, overlaps, or fragmentation before they reach the market.
• Support the design of cross-platform GTM plays and sales-aligned playbooks, translating platform strategy into repeatable engagement models, industry-specific use case motions, and executive-ready conversation frameworks that accelerate pipeline development and revenue progression.
• Orchestrate platform-level competitive intelligence and readiness, working across subject matter experts in each product domain to develop materials and objection-handling frameworks that clearly articulate “why the IonQ quantum platform delivers greater customer value” versus alternatives and point solutions.
• Continuously monitor the global quantum competitive landscape, evolving positioning and readiness materials as benchmarks, claims, funding signals, and market narratives shift.
• Partner closely with Product Managers across product lines to predictably and consistently deliver launches and major technical milestones aligned to sales and marketing motions, ensuring product announcements reinforce platform strategy, roadmap progress, and long-term credibility.
• Drive cross-functional alignment for launches and milestone releases across Product, Sales, Corporate Marketing, PR, and Analyst Relations to maximize coherent market impact.
• Develop and support industry- and region-tuned, platform materials, enabling the core quantum narrative to resonate across verticals (e.g., pharma, manufacturing, energy, financial services, defense) and geographies, by demonstrating an understanding of distinct motivations, dynamics and buyer expectations.
• Act as a trusted platform partner to cross company product leaders, facilitating alignment without diminishing individual product line ownership or differentiation.

Experience & Background

• 10+ years of experience in technical product marketing, preferably in deep-tech, emerging technology, or complex B2B platforms; science communications experience is a plus.
• Proven experience translating complex technical subject matter into coherent, scalable market narratives; exceptional written and verbal communication skills.
• Demonstrated ownership of competitive intelligence and executive-level positioning in technically sophisticated markets.
• Experience partnering directly with Product Management and Engineering in milestone-driven environments.
• Strong executive communication skills with experience adapting platform narratives for enterprise industries, governments and global regions.
• Strategic thinker who remains hands-on in high-growth, high-complexity environments.
• Experience working across multiple product lines or business units.
• Strong understanding of quantum technology concepts with the ability to communicate credibly with technical audiences.
• Comfortable influencing without authority and partnering with senior leaders across product, sales, engineering, and marketing.
• Confident presenter to internal and external audiences, including customers, partners, and executives.
• Brings a mindset that is curious, analytical, customer-obsessed, commercially minded…and energized by ambiguity in early or fast-evolving markets.
• Highly organized, self-directed, and capable of balancing long-term strategy with near-term execution demands.

Location: Hybrid, preferably based near IonQ’s US Headquarters in Washington DC / Maryland or Seattle, WA
Travel: Expect 10-15% travel per quarter, depending on seasonal priorities.
Job ID:  1390

The approximate base salary range for this position is $169,869 - $221,514. The total compensation package includes base, bonus, and equity.

At scale, quantum computers will be integrated into classical datacenters — combining the unique strengths of CPUs, GPUs, and QPUs will help us solve the world’s hardest problems. Today, we already use IonQ quantum computers in tandem with high-performance computer (HPC) clusters in applications like quantum machine learning and image analysis. As a Senior Staff Software Engineer leading our HPC integration, you’ll help build and maintain our interfaces with SLURM and other open HPC stacks.

Responsibilities:

• Lead the design and development of our HPC software stack integrations
• Establish best practices for code development, quality assurance, documentation, and continuous integration and deployment
• Lead and participate in code reviews
• Effectively self-manage projects, priorities, deadlines, and deliverables; Identify, track and mitigate execution roadblocks and technical risks
• Mentor junior staff members; we’ll ultimately be building a team around you!
• Help minimize overhead between classical and quantum resources through efficient scheduling and parallelization

You’d be a good fit with:

• Bachelor’s degree in Computer Science, IT or equivalent practical experience -- untraditional backgrounds are welcome and encouraged!
• 13+ years experience in software engineering
• 5+ years experience of open source contributions
• 2+ years experience with Slurm or other HPC batch schedulers (LSF, PBS, GridEngine, etc.) and/or other HPC technologies
• Familiarity with containerization technologies such as Docker and container orchestration platforms like Kubernetes or Microk8s
• Familiarity with MPI or other multiprocessing schemes
• Experience with workflow orchestration tools (Argo Workflows, Kubeflow)
• Significant experience with system languages like C/C++ or Go, and advanced scripting in Python
• Established experience in Linux operating system, environment, and tools

You’d be a great fit with:

• 15+ years experience in software engineering
• 10+ years experience of making open source contributions  
• 5+ years in High Performance Compute cluster management
• 2+ years experience as an open source project maintainer with an active community
• Expert-level knowledge of Fortran and/or C
• Familiarity with quantum software stacks like MQSS or OpenQSE
• Familiarity with distributed computing frameworks like Ray or Dask
• Experience with GPU programming models such as CUDA (or even better: CUDA Quantum)
• Expert analysis skills in areas like statistical testing, modeling and general optimization
• Knowledge of one or more domains of computational physics (PDEs, n-body, large-dimension integration, stochastic systems, ...)
• Familiarity with common machine learning frameworks like PyTorch or TensorFlow
• Exposure to quantum physics and/or quantum information science

Location: This is a hybrid role based at our headquarters in College Park, MD or at our Bothell, Washington facility.
Travel: 10%
Job ID: 1135

The approximate base salary range for this position is $187,358- $245,300. The total compensation package includes base, bonus, and equity.

IonQ is seeking a Staff Researcher, Quantum Computing for Financial Applications and Algorithms to drive the development and strategy of quantum solutions for the financial sector. This senior technical leadership role will be pivotal in defining the roadmap for next-generation quantum finance and security architectures, leveraging IonQ's expertise in hardware and algorithmic innovation. The core focus is on bridging quantum theory, AI/ML, and quantitative finance at scale.

As the ideal candidate, you will own key research initiatives, mentor junior researchers, and directly collaborate with global financial institutions. A critical responsibility is translating complex domain challenges into viable quantum-enabled solutions. This role involves working closely with IonQ’s hardware, software, and research teams to accelerate the realization of quantum advantage in areas like financial modeling, optimization, and cryptography.

Responsibilities:

• Lead IonQ's R&D in quantum algorithms specifically for the finance sector, covering key areas such as portfolio optimization, risk modeling, derivatives pricing, fraud detection, and post-quantum security.
• Define and drive the quantum finance research strategy, establishing long-term technical directions that align with IonQ's overarching product roadmap and partnership objectives.
• Architect and validate quantum algorithmic frameworks suitable for both NISQ (Noisy Intermediate-Scale Quantum) and future fault-tolerant architectures. This includes integrating expertise in quantum information theory, circuit compilation, and error correction.

• Mentor and guide senior researchers and engineers, cultivating a high-impact, results-driven, and collaborative research environment.
• Collaborate cross-functionally with the Quantum Solutions, Product, and Business teams to successfully translate core research outcomes into deployable, real-world applications for enterprise clients.
• Engage strategically with leading financial institutions and regulatory bodies to facilitate the early adoption and shaping of quantum technologies in secure financial computing.
• Establish and nurture collaborations with top universities, national laboratories, and government organizations to significantly expand IonQ's external research ecosystem.
• Publish thought-leading research at premier conferences and in top-tier journals, establishing IonQ's reputation as a global authority in both quantum finance and quantum-secure architectures.
• Advise executive leadership on critical emerging trends in quantum computing, cryptographic security, and AI-driven financial technologies.
  
  

You’d be a good fit with: 

• Ph.D. in Physics, Applied Mathematics, Computer Science, Quantitative Finance, or related field.
• 8+ years of experience in algorithmic research, computational finance, or quantum information, with at least 3 years in a leadership or principal investigator role.
• Deep technical expertise in quantum computing, error correction, compiler optimization, and high-performance computing.
• Proven experience in quantum AI/ML and its applications in finance.
• Advanced understanding of financial modeling, stochastic calculus, risk analytics, and optimization techniques.
• Demonstrated record of publishing, patenting, or deploying cutting-edge quantum or hybrid classical-quantum solutions.
• Strong track record of leading cross-disciplinary teams and influencing technical direction at the organizational level.
• Excellent communication and collaboration skills with both technical and executive audiences.
  
  

You’d be a great fit with: 

• Knowledge in quantitative research
• Experience with use cases typical of banks and hedge funds

Location: This position can work onsite or hybrid from one of our offices (College Park, MD, Bothell, WA) or fully remote in the US.
Travel: Up to 20%
Job ID:  1220

The approximate base salary range for this position is $162,920 - $213,304. The total compensation package includes base, bonus, and equity.

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 manage the delivery of agentic workflows for a national security customer. As an EM on our public sector delivery team, you will own or support an 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 South Tampa area and travel up to 25%

Overview

Want to make a difference in the world? Join a team of innovative professionals who put customers first and align a federal civilian agency’s mission and priorities with modern enterprise system solutions.

Esri is the place for you to do your best work amid a supportive culture that encourages creativity, collaboration, and passion for each project. You’ll be part of a high performing team that helps federal civilian agencies (such as NASA, Department of Energy, EPA, Department of Commerce, CDC, and Veterans Affairs) apply geospatial science and leading-edge analytical technologies to discover unique patterns, trends, and solutions hidden within complex scientific and business problems. As an Account Manager at Esri, the global leader in geospatial science and GIS, you will apply your selling skills to address a huge transformation in technological capabilities across the public sector that includes Artificial Intelligence (AI) and Machine Learning (ML), Kubernetes, digital twin, data science, big data, Microsoft Fabric; distilling IoT-generated data into actionable intelligence, cloud computing, and more.

Responsibilities

• Deliver results. Successfully execute the account management and sales processes for all opportunities. Use whiteboard sessions and other techniques to support visual storytelling and propose solutions that best meet the need of the customer.
• Understand our customers. Demonstrate industry knowledge and its relevance to the application of GIS. Identify key stakeholders and business drivers for an organization. Understand customer budgeting and acquisition processes. Use solution selling skills to understand the needs and business challenges of customers.
• Build relationships. Prospect, develop, and implement location strategies for organizations. Maintain a healthy pipeline of business growth opportunities for new and existing customers. Leverage social media and other avenues to build your professional network. Participate and present at trade shows, workshops, and seminars.
• Learn and grow. Clearly articulate the strength and value of Esri technology as it relates to the industry. Consistently conduct research and pursue professional development to anticipate customer needs and trends that may impact them.
• Collaborate with others. Leverage your domain knowledge when working with teams across Esri to define and execute account strategies. Be motivated and resourceful and take initiative to resolve issues.

Requirements

• 5+ years of enterprise sales and/or relevant consulting or program management experience
• 3+ years of experience working in or supporting the federal government/public sector
• Experience creating partnerships, and establishing yourself as a trusted advisor with customers
• Understanding and execution of the sales process, account management, account planning and opportunity strategy creation
• Demonstrated knowledge of enterprise systems and new technology trends, and the ability to translate this into solutions for customers
• Able to negotiate, present, and support visual storytelling across all levels of an agency
• Ability to travel domestically 25-50%
• Bachelor’s degree in business administration, GIS, environmental/earth, social and/or health 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

• Understanding of GIS, Esri technology, and environmental and earth sciences as they relate to one another
• Understanding of environmental, earth and, health sciences
• General knowledge of data science or spatial analysis and how it is used for problem solving and uncovering patterns and trends within organizations
• Knowledge of public sector fiscal year, budgeting, and procurement cycles
• Master’s degree in business administration, GIS, environmental/earth, social and/or health science, or a related field

Questions about our interview process? We have answers.

#LI-KH3

#LI-ONSITE

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 computer vision solutions and delivering them into operational use cases that matter.

We’re hiring a technical program manager (TPM) to lead and coordinate delivery of computer vision workflows for a national security customer. As a TPM on our public sector delivery team, you will own or support a customer account plan, triage customer technical issues, use data and analytics to align internal resources around Scale’s hardest problems, and drive the creation of tools that add direct value to Scale’s Public Sector customers.

You will:

• Manage customer relationships from the executive to the end user
• Work alongside customers to scope computer vision 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
• Learn technical concepts and tools to necessary depth, leveraging that expertise to create solutions from scratch or drastically improve existing solutions
• Partner with engineering, operations, and other public sector teams to build and deliver AI systems tailored to unique government use cases in the computer vision domain

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 deep understanding of ML operations process
• 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%

At Scale, our mission is to develop reliable AI systems for the world’s most important decisions. The Public Sector team is at the forefront of this mission, partnering with government agencies to deploy mission-critical agentic solutions. 

Role Overview

The Public Sector GenAI T&E Product Manager will be a high-horsepower technical leader, defining the vision and owning the roadmap for our evaluation capabilities. This role requires thriving in unscripted, high-stakes environments, as you will be the primary owner for the T&E tech stack—the robust infrastructure required to continuously measure, improve, and prove the superiority and sustained performance of our agentic applications.

Traversing multiple engineering organizations across Scale, you will identify bottlenecks, distill technical friction into actionable plans, and drive execution. You will work across Scale’s commercial and public sector teams to define requirements, ensuring our evaluation services are robust enough for the most demanding government use cases. Key objectives include refining the tech stack that allows ML teams to hillclimb, and surfacing critical performance information to stakeholders.  

Minimum Qualifications (Quantifiable)

• Engineering Depth: 3+ years of experience in software engineering, systems architecture, or highly technical program management. You must be able to read code, understand system architecture, and participate in technical design reviews alongside engineering teams.
• Evaluation Systems Expertise: Proven experience designing, owning the roadmap for, or operating the infrastructure required to continuously measure, improve, and show the performance of AI applications. 
• Problem Distillation: Demonstrated experience taking a vaguely defined problem (e.g., "our evaluation cycles are too slow") and delivering a technical roadmap, resource requirements, and measurable success metrics within a narrow time window.
• Ambiguity Management: Proven track record of taking a project from "stalled/undefined" to "shipped" in a high-pressure environment. You can point to at least two instances where you inherited a failing project and saw it through to production.
• Cross-Functional Leadership: Led multiple projects that required direct alignment between at least three distinct engineering organizations (e.g., Infrastructure, ML Research, and Product).
• Operational Execution: Experience using technical project management frameworks (e.g., Linear) to provide consistent weekly reporting on delivery velocity and blockers to executive stakeholders.

Preferred Qualifications (Nice to Haves)

• Security Clearance: Active Secret, Top Secret, or TS/SCI clearance.
• GenAI Implementation: Practical experience developing or evaluating features built specifically on LLMs, RAG, or autonomous agent workflows.
• Technical Rigor: Advanced degree in Computer Science, Engineering, or a related field.
• Public Sector Expertise: 2+ years of experience working with DoD, IC, or Civil agencies on mission-critical software deployments.

The Mission

Scale AI is leading the AI revolution, developing reliable AI applications for the world's most important decisions. For the Public Sector, we translate this mission into operational advantage for our government customers.

We are looking for a technical, high-horsepower Product Manager to lead the evolution of the Public Sector Data Engine. This team believes that the data engine, capable of producing “n” models, is more important than any single model.  This role is focused on building tools that can measure and improve the computer vision and generative AI models at the heart of critical national security systems. You won’t just be managing a roadmap; you will be building the ML Ops infrastructure that allows the government to spin the ML Ops flywheel to develop reliable AI.  This work will span both Computer Vision and Generative AI.

This is a hybrid role for a PM who loves the "why" as much as the "how." You will sit at the center of our transition from a data labeling leader to a full-stack AI partner. You will architect the vision for our ML Ops tooling, building a seamless "foundational engine" that supports data management, curation, model development, and model evaluation for internal and external Machine Learning Teams. You’ll be expected to guide engineering teams through design challenges, system integrations, and the technical scaffolding required for state-of-the-art model testing.

You will:

• Architect the AI Engine: Drive the roadmap for Public Sector ML Ops tools, ensuring they serve as the "ground truth" foundation for building, evaluating, and deploying AI systems.
• Bridge Custom & Scale: Support diverse customer profiles—from massive-scale satellite and video labeling engagements to complex, bespoke ML Ops partnerships.
• Own Technical Scoping: Partner with Engineering to make high-stakes design decisions on infrastructure, APIs, and model evaluation frameworks (T&E).
• Operationalize Collaboration: Use high EQ and structured thinking to align Engineering, Operations, and elite Government stakeholders.

Ideally you'd have:

• Technical by Core: You have a background in Software Engineering, Field Engineering, or Vision Systems. You can read code, understand system architecture, and earn the immediate respect of world-class engineers.
• ML/CV Experience: You have experience in Computer Vision or ML Ops. You understand the lifecycle of a model—from data acquisition to Test & Evaluation.
• Grit: You possess a "whatever-it-takes" drive. You are comfortable running through walls, grinding through ambiguity, and delivering results in high-pressure environments.
• Structured Thinker, but Action Oriented: You can take a challenging problem, decompose it, create action plans, and drive results.

Nice to haves:

• Security Clearance: An active Secret or TS/SCI clearance is a nice to have for this role. If you do not have an active clearance, you must be willing to obtain one.

• Demonstrated Technical Rigor: Advanced degree (CS, Engineering, or a related field) from a top-tier institution, or equivalent experience that showcases deep technical problem-solving ability.
• Computer Vision (CV) Expertise: Practical experience designing, building, or evaluating large-scale Computer Vision models, including advanced data processing and deployment techniques.

Principal Architect

Location: Washington, DC

About the Role
We are seeking a Principal Architect to drive the design, development, and deployment of our agentic AI products in a fast-paced, collaborative, extremely high-visibility environment.

In this role, you will lead a team of 50+ engineers, providing both strategic and technical guidance. You’ll be responsible for high-impact architectural decisions, cross-company collaboration, and executive level engagements. 

What You’ll Do

• Team Leadership: Lead and mentor a high-performing engineering team of 50+, fostering a culture of technical excellence and ownership.
• Technical Direction: Guide your team through complex challenges involving LLMs, AI agents, and large-scale distributed systems.
• Executive Stakeholder Engagement: Represent Scale AI in high-stakes negotiations and strategic discussions with senior external partners, demonstrating strong technical competence and credibility.
• Strategic Planning & Communication: Develop and communicate a compelling vision for Scale AI’s technology applied to your program. Provide regular updates to senior leadership and key stakeholders on progress, risks, and opportunities.
• Culture & Teamwork: Foster a culture of speed, unity of purpose, resilience, and teamwork. Lead through uncertainty with determination and adaptability.

What We’re Looking For

• 10+ years of software engineering experience, including 5+ years in a technical leadership or staff role.
• Deep understanding of modern AI/ML technologies, including experience working with LLMs and AI agents.
• Proficient in one or more modern programming languages (Python, JavaScript/TypeScript)
• Hands-on experience with Kubernetes and cloud infrastructure (AWS, GCP, or Azure).
• Strong product and business sense, with a track record of aligning engineering efforts with company goals.
• Ability to operate effectively in ambiguous, fast-changing environments and guide your team to do the same.
• Experience in executive level engagement with industry partners and Public Sector customers

Success Metrics

Within 6 months:

• Successful demonstration of agentic AI’s mission value in high-stakes customer demonstrations
• Establish Scale AI as the preferred agentic AI partner for the PEO
• Establish high velocity, agile engineering cadence both internally and with our industry partners

Within 12–18 months:

• Secure follow-on contract award with expanded scope for Scale
• Position Scale AI as the global AI leader in this mission area
• Establish developed solutions as Scale product offerings to deliver on future contracts

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.

Role:

Scale is at the forefront of the AI revolution, working across the US government, partners and allies around the world to unlock the potential of generative AI (GenAI).

We are seeking a product leader to join our team and play a pivotal role in building Agentic AI platforms to support national-level decisions, including for some of the nation’s most important national security challenges. The ideal candidate will have a strong understanding of product leadership, software engineering principles practices and deep experience with ML/AI application development, coupled with proven experience in managing complex projects with multiple stakeholder or AI-related projects within a government or highly regulated setting, emphasizing ethical AI deployment and robust risk management practices. 

This role requires a strategic leader adept at navigating the complexities of government GenAI projects, ensuring Scale’s public sector AI solution aligns with agency objectives and adheres to stringent security and compliance mandates. The product manager will be responsible for the entire lifecycle of the generative AI platform, including product design, cross-program execution, capability prioritization, stakeholder engagement with various government entities, defining and managing engineering scope, developing detailed project plans, and overseeing resource allocation and budget management. A key focus will be on ensuring that Scale’s public sector AI solution operates securely within controlled network environments, and is configured properly to support government workflows, specifically those that relate to national defense.

Some examples of GenAI applications we build are:

• Agentic warfare and scenario planning
• Indications and warnings integration for the protection of critical continental level assets
• Deep research capability that can help evaluate thousands of pages of classified information 
• Report generation for multiple customized report templates 
• Text2SQL intelligence applications to make analysts more efficient and embed a culture of data-driven decision-making

You will:

• Develop enterprise grade solutions that leverage cutting edge AI and AI agents to drive value for public sector customers 
• Work with executives at Scale and our customers to determine and execute the product strategy of the business.
• Own end-to-end product development by understanding customer pain points, defining product requirements, managing development, testing, and launches
• Lead cross-functional teams including engineering, product design, operations, marketing, go-to-market and finance.
• Develop a point of view and execute on turning the solutions we build into scalable software that we can commercialize across the industry 
• Maintain a Top Secret security clearance 

Ideally you'd have:

• Technical degree in computer science, engineering, or equivalent experience
• 4+ years of experience in building ML-powered and / or enterprise-facing products
• Strong understanding of generative AI technologies and their applications in public or large-scale private sector settings
• Experience operating in a fast-paced environment with high ambiguity
• Exceptional leadership, presentation, and communication skills with the ability to influence cross-functional teams
• Data literacy and experience with data analytics
• Prior military or government experience 
• Coding experience (e.g. Python)

Nice to haves:

• Experience building infrastructure and tooling to develop and support agentic applications.
• Experience working in startup environments building solutions for public sector / federal customers.
• Understanding of public / federal networks, infrastructure, and deployment constraints.
• TS/SCI Security Clearance

Our customer base is growing exponentially, and you will be on the front lines of ensuring that the world's most innovative companies become passionate, lifelong, Scale customers. Our Solutions Engineers ensure customers' first experiences with Scale's technology are flawless and lead to a successful long-term partnership. The work will vary daily, and we’re looking for technical experts excited to solve tough problems. As a solution engineer, you will be a part of helping shape our early-stage federal business by re-envisioning our commercial product offerings for our federal clients.

What you'll do:

• Become an expert on the end-to-ends of Scale Products
• Create tailored demonstrations and collateral for federal stakeholders at both the executive and analyst level.
• Partner with Scale Account Executives to deliver customer pilots according to requirements agreed by the customer.
• Integrate and ingest a variety of external datasets to solve government use cases.
• Interact with customers on a day-to-day basis to understand their pain points and design solutions
• Work with internal product and engineering teams to turn customer requirements into Scale capabilities
• Understand public sector mission sets and strategic objectives to better showcase Scales products.

Ideally you'd have:

• Strong engineering background, preferably in computer science, mathematics, or other quantitative fields
• Strong communication skills - ability to interact with both technical and non-technical customers at all levels
• At ease with technology, able to quickly pick up new tech stacks and troubleshoot
• Previous experience working with Public Sector customers - our business is diverse and growing across both National Security and Federal Civilian communities. 
• Proficiency in scripting languages such as Python, Javascript/Typescript, Bash scripts, or programming languages.
• A strong desire to roll up your sleeves and help build a business in an extremely fast-paced environment
• Active US Government Security Clearance (TS / SCI required)
• Based in the Washington, DC area or willing to relocate
• Background working in AI/ML, particularly Generative AI and Large Language Models

Scale is at the frontier of the AI industry, improving the world’s leading generative AI and large language models through model evaluations, human-powered supervised fine-tuning datasets, world-class reinforcement learning with human feedback, and more. 

Scale AI’s Public Sector team is growing in the Generative AI space, and we’re seeking an Strategic Projects Lead to own high-impact projects that drive revenue and experimentation. In this role, you’ll work across operations, engineering, and customer engagement to produce world-class training and test and evaluation data for Large Language Models for our Public Sector customers. 

This role offers a rare opportunity to make a meaningful impact at the intersection of AI and national security. You will help build Generative AI data-labeling pipelines from the ground up, create operational processes to manage and optimize an in-house expert data workforce, and develop novel technology-driven approaches (e.g., scripts, prompt engineering, hybrid data) to improve the quality of our training and evaluation datasets. In addition, you will partner directly with our internal machine learning experts and external stakeholders to ensure our data enables the development of mission-critical applications of AI.

You will:

• Develop, build, and maintain the infrastructure required to ensure data pipelines are efficient, scalable, and produce high-quality outputs
• Take ownership of day-to-day progress on high-priority data production pipelines, ensuring projects move forward efficiently
• Partner with subject matter experts in their fields to validate the quality of our data and to translate deep domain knowledge into scalable processes and measurable outcomes 
• Work closely with customers to understand their requirements and design data taxonomies that optimize model performance.
• Utilize analytics and data visualization tools to track progress, identify bottlenecks, and make data-driven decisions to optimize pipeline performance
• Influence cross-org collaboration to define and advance human data strategy, influencing technical and non-technical stakeholders to ensure data quality, scalability, and long-term platform leverage
• Own larger and larger components of our data delivery processes, until you ultimately serve as the full owner of our most visible and high impact customer pipelines

You have: 

• 5+ years of experience in product development, data science, or operations
• A history of successful project management and comfort in ambiguity
• Ability to analyze complex operational data, build queries, and identify trends to inform decisions and optimize processes
• Technical aptitude to understand how to produce data for state of the art post-training techniques such as supervised fine tuning (SFT), reinforcement learning through human feedback (RLHF), Reinforcement Learning with Verifiable Rewards (RLVR) etc 

Nice to have: 

• Experience working in defense tech and/or an AI company
• A technical degree in fields like computer science, data science, or engineering
• A deep understanding of ML operations for generative AI workflows / products
• An active Top Secret security clearance 

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

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 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 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

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 the customer in the Colorado Springs area 4 days per week and able to travel at least 25% of the time (as needed)

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's public sector business is providing the best of American commercial technology and innovation to protect the homeland and meet the moment. As a member of our public sector delivery team, you will own relationships critical to the portfolio of clients charged with a layered defense for the United States. You will be a catalyst, willing to go deep, get technical, and drive change. You will manage customer relationships and partners as well as partner with our engineering team to solve Scale’s hardest problems. All of this serves an ultimate goal of delivering cutting-edge agentic AI to orchestrate portfolio management for defense of the homeland.

You will:

• Drive innovation and transformation by diving deep into technical and operational challenges, solving undefined problems, and delivering impactful agentic AI solutions
• Transition AI/ML technologies and processes into working products / solutions even when requirements are undefined or ambiguous
• Partner with Scale engineering, operations, and other public sector teams to build and deliver AI systems tailored to unique government use cases in the computer vision and generative AI domains
• Lead a cross-functional team to exceed the customer’s AI/ML objectives
• Support and partner across B2B and B2G organizations to achieve the outcomes in delivering the greater layered defense for the United States

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

• 5+ years of professional experience, often in a customer-facing technical program management role in industry or government.
• A proven track record in B2B or government client facing roles and expanding client relationships
• Prior experience leading engagements with government customers

Must haves:

• An active TS/SCI clearance
• Minimum of 3 years of work experience leading teams / programs in industry or government 
• A basic understanding of ML operations process
• A track record of structured, analytics-driven problem-solving
• Excellent verbal and written communication skills
• Willingness to travel at least 25% of the time

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

Senior Machine Learning Engineer - Model Evaluations, Public Sector

The Public Sector ML team at Scale deploys advanced AI systems—including LLMs, agentic models, and multimodal pipelines—into mission-critical government environments. We build evaluation frameworks that ensure these models operate reliably, safely, and effectively under real-world constraints. As an ML Engineer, you will design, implement, and scale automated evaluation pipelines that help customers trust and operationalize advanced AI systems across defense, intelligence, and federal missions.

You will:

• Develop and maintain automated evaluation pipelines for ML models across functional, performance, robustness, and safety metrics, including LLM-judge–based evaluations.
• Design test datasets and benchmarks to measure generalization, bias, explainability, and failure modes.
• Build evaluation frameworks for LLM agents, including infrastructure for scenario-based and environment-based testing.
• Conduct comparative analyses of model architectures, training procedures, and evaluation outcomes.
• Implement tools for continuous monitoring, regression testing, and quality assurance for ML systems.
• Design and execute stress tests and red-teaming workflows to uncover vulnerabilities and edge cases.
• Collaborate with operations teams and subject matter experts to produce high-quality evaluation datasets.
• 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:

• Experience in computer vision, deep learning, reinforcement learning, or NLP in production settings.
• Strong programming skills in Python; experience with TensorFlow or PyTorch.
• Background in algorithms, data structures, and object-oriented programming.
• Experience with LLM pipelines, simulation environments, or automated evaluation systems.
• Ability to convert research insights into measurable evaluation criteria.

Nice to haves:

• Graduate degree in CS, ML, or AI.
• Cloud experience (AWS, GCP) and model deployment experience.
• Experience with LLM evaluation, CV robustness, or RL validation.
• Knowledge of interpretability, adversarial robustness, or AI safety frameworks.
• Familiarity with ML evaluation frameworks and agentic model design.
• Experience in regulated, classified, or mission-critical ML domains.

Scale is building AI for the world’s most important decisions. From the front lines of national defense to the core of global enterprise, we provide the data engine and agentic infrastructure that powers the next generation of American and allied interests.

As a Defense Deployment Strategist, you will be responsible for bridging the gap between cutting-edge AI research and mission-critical production. You will lead the charge in deploying Agentic AI — autonomous, reasoning systems — into the heart of defense workflows, ensuring that our nation's most complex decisions are supported by the world’s best technology.

Deployment Strategist 

We are looking for a powerhouse executive account leader who understands that winning in the DoW isn't about a successful 6-month pilot; it’s about Program of Record integration. You will focus on landing and transitioning high-stakes prototypes into full-scale enterprise deployments, navigating the complexities of the Valley of Death by securing executive sponsorship and programmed funding.

Responsibilities:

This is an individual contributor role with heavy leadership expectations. You are the "CEO of the Account," responsible for the following:

• Full-Spectrum Capture & Quota Ownership: Carry and exceed a multi-million dollar annual revenue quota. You are responsible for the entire lifecycle: from identifying the top of funnel opportunity and shaping requirements to the final contract award and revenue recognition.
• Tactical Execution: You don't just delegate; you execute. You will personally draft high-impact white papers, lead the development of complex proposals, architect deal structures, and navigate the nuances of defense contracting.
• Operational Transition: Once the deal is signed, your job isn't over. You will continue to lead the account, ensuring that the delivery team (Engagement Managers, Technical PMs, Engineers, and Product) enables mission success. You are the primary point of contact for the customer, ensuring the pilot doesn't just work, but scales.
• Renewal, Expansion, & Growth: Own the long-term account strategy. You are responsible for identifying the next use case, securing the follow-on funding, and driving the 10x growth that turns a single deployment into a department-wide enterprise standard.
• Direct Agentic Solutioning: Work in the weeds with technical teams and end-users to co-design Agentic AI workflows. You must be able to translate a customer’s vision into a specific technical requirement that our engineers can build against.
• SI & Prime Orchestration: In partnership with Scale’s Partner Managers, you will actively manage and negotiate with Tier 1 Systems Integrators (SIs) and Defense Primes to ensure Scale is the agentic AI engine of their larger programs. You will be the lead negotiator for sub-contracting and teaming agreements.

Requirements:

• Experience: 10+ years of experience in complex enterprise IT sales or business development specifically within the DoW/IC.
• Proven Track Record: You have successfully closed and implemented multi-year deals exceeding $25M. You know how to get a line item in the budget.
• Domain Expertise: Deep understanding of the DoW’s modernization priorities, specifically in AI/ML, computer vision, or autonomous systems.
• The Valley of Death Navigator: You have a demonstrated ability to transition technology from "cool demo" to "deployed capability" within a major PEO.
• Strategic Network: Existing high-level relationships across the DoW, with a specific focus on Defense Agencies and enterprise IT,  as well as a Rolodex of contacts at the major primes.
• Clearance: Active Top Secret/SCI clearance is strongly preferred.
• Education: BS/BA required; technical degree or MBA preferred.
• Geography: Based in the National Capital Region, with the ability to work out of Scale’s D.C. office 2-3 days a week. 
• Travel: Ability to travel 20-30% of the time.

Who you are:

• Mission-Driven: You believe that whoever wins in AI wins the next century, and you want that to be the United States and its allies.
• Relentless: You thrive in the long-game of defense procurement. You aren't discouraged by bureaucracy; you see it as a puzzle to be solved.
• Adaptive: You can operate in the high-velocity environment of a Series E startup while maintaining the polish required for the Pentagon.
• The Closer-Operator: You have the executive presence to brief a PEO, but the tactical stamina to spend 10 hours in a SCIF working on a proposal response.
• Radically Accountable: You don't wait for a marketing lead or a BD specialist to hand you a deal. You build your own funnel, navigate the "No's," and find the creative path to "Yes."
• Technically Credible: You aren't a software engineer, but you can explain the difference between RAG and Agentic reasoning to a skeptical technical evaluator.

Sales Commission: This role is eligible to earn commissions.

Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Scale employees are also granted Stock Options that are awarded upon board of director approval. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

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.

As Scale's product portfolio and customer base expand, we are seeking skilled DevOps Engineers, Public Sector to be at the forefront of building out and enhancing our CI/CD pipelines. You will play a crucial role in streamlining our Software Development Life Cycle (SDLC) through collaborative efforts, moving us from a state of manual, disparate deployments to a more unified and automated system.

These engineers will gain a deep understanding of our core products' architecture and composition, enabling them to effectively deploy and manage these systems when needed. A critical aspect of this role will be seamlessly integrating various machine learning (ML) tasks and updates into our SDLC, transforming currently separate ML components into a cohesive and automated workflow. While direct ML expertise is not required, a desire to learn and integrate ML components into the lifecycle is essential.

Must have:

• At least an active TS/SCI clearance and the ability & willingness to up level to CI Poly. This is a requirement and candidates will not be considered who do not hold at least a TS/SCI clearance.

You will:

• Design, develop, and maintain robust CI/CD pipelines to automate the deployment of our lowside and highside products.
• Collaborate closely with product and engineering teams to enhance existing application code for improved compatibility and streamlined integration within automated pipelines.
• Contribute to the overall architecture and design of our deployment systems, bringing new ideas to life for increased efficiency and reliability.
• Troubleshoot and resolve complex deployment issues, ensuring minimal disruption to development cycles.
• Develop a deep understanding of our product and ML architectures to facilitate seamless integration and deployment.
• Document pipeline processes and configurations to ensure maintainability and knowledge transfer.
• Proactively incorporate security best practices into all stages of the CI/CD pipeline, building security into our development processes.
• Drive standardization and foster collaboration across different product teams to achieve a unified and efficient SDLC.

Ideally you'd have:

• 2-3 years of experience as a DevOps Engineer, DevSecOps Engineer, Software Engineer with a strong focus on CI/CD, or a similar role.
• Proven track record of building or significantly enhancing CI/CD pipelines.
• Experience configuring and adapting application code to integrate seamlessly with evolving CI/CD environments.
• Experience working fluently with standard containerization & deployment technologies like Kubernetes, Terraform, Docker, etc.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP).
• Strong proficiency in scripting and automation (e.g., Python, Bash, PowerShell).
• Familiarity with various CI/CD platforms (e.g., Jenkins, GitLab CI, GitHub Actions, Azure DevOps).
• Knowledge of software architecture, system design, and version control systems.
• Comfort with rapidly changing, fast-paced environments and a passion for finding automated solutions to complex problems.
• Basic understanding of security best practices in software development and an eagerness to integrate them.
• A hunger for learning new technologies, particularly in the realm of integrating ML into automated workflows.
• Strong problem-solving, analytical, collaboration, and communication skills.

Nice to haves:

• Experience with containerization technologies (e.g., Docker, Kubernetes).
• Exposure to machine learning lifecycles or MLOps concepts.
• Prior experience in classified environments.

We are seeking a highly technical Security Engineer to join our Product Security team. This role is integral to ensuring the security and integrity of our products and services. You will conduct in-depth code reviews, implement security best practices, and influence the overall security strategy. Your expertise in TypeScript, Python, AWS, CI/CD, SAST, DAST, and terraform orchestration will be crucial in identifying and mitigating potential security vulnerabilities. You will also structure complex problems, diagnose root causes independently, and clearly explain the mechanics and significance of security vulnerabilities, including their exploitability and potential impact.

You will:

• Leverage broad product security expertise to build and maintain software tooling that secures every layer of the modern AI/ML software ecosystem.
• Conduct in-depth code reviews to identify and remediate security vulnerabilities.
• Evaluate and enhance the security of our product offerings, through RFC and service review.
• Implement and maintain CI/CD pipelines with a strong focus on security.
• Perform Static Application Security Testing (SAST) and Dynamic Application Security Testing (DAST) to identify vulnerabilities in production code.
• Utilize terraform orchestration to ensure secure and efficient infrastructure management.
• Guide engineering teams to build robust long-term solutions that consider security and privacy. 
• Clearly explain the mechanics and significance of security vulnerabilities, including their exploitability and potential impact.
• Influence the security strategy and direction of the team, advocating for best practices and continuous improvement.

Ideally, you’d have:

• Demonstrated ability to drive multi-month security initiatives independently, from problem definition through execution, without requiring significant direction.
• Proven experience as a Security Engineer with a focus on product security.
• Proficiency in NodeJS, TypeScript, Python, and/or Kubernetes.
• Strong understanding of modern Javascript application design.
• Production experience operating and securing AWS infrastructure at scale.
• Hands-on experience with SAST and DAST tools and methodologies.
• Familiarity with terraform orchestration for infrastructure management.
• You can structure complex problems and diagnose root causes independently, providing actionable insights without requiring manager input.
• Excellent communication skills, with the ability to clearly present technical concepts and their implications to both technical and non-technical stakeholders.
• Demonstrated ability to influence security strategies and drive improvements within a team.
• Relevant security certifications (e.g., CISSP, CEH, OSCP) are a plus.

The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes:

• Create multi-layered guardrails around agents
• Optimize data retrieval for agents
• Orchestrate fleets of asynchronous agents
• Automatically alerts users to deviations in data
• Illustrating how an agent reached a decision

As a Senior Software Engineer, you will lead the development of a vertical feature or a horizontal capability to include defining requirements with stakeholders and implementation until it is accepted by the stakeholders.

You will: Lead the design and implementation of scalable backend systems and distributed architectures for Federal customers.

• Manage the full lifecycle of feature development from requirement definition to deployment on classified networks.
• Direct the orchestration of asynchronous agent fleets to meet mission requirements.
• Lead customer engagements to translate mission needs into technical requirements.
• Own the communication with stakeholders to ensure implementation meets defined acceptance criteria.
• Conduct technical reviews and identify risks within machine learning infrastructure and model serving.
• Drive the platform roadmap by providing technical specifications for Federal product offerings.

Ideally you will have: 

• Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases
• Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus
• Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles
• AI Application Integration: Familiarity with integrating Large Language Models (LLMs) and building agentic workflows. Understanding of prompt engineering, retrieval-augmented generation (RAG), and agent orchestration is beneficial.
• Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles
• Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment
• Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to defining and evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering

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.)

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 a technical program manager (TPM) to lead and coordinate delivery of agentic workflows for a national security customer. As a TPM on our public sector delivery team, you will support a large account plan, develop a technical roadmap with end user input, and partner with an engineering lead to ensure effective technical delivery. This role is ideal for someone who has deep curiosity about end user pain points, loves rapid prototyping, and wants to work in a fast-paced, ambiguous, and mission-driven environment. 

You will:

• Drive innovation and transformation by diving deep into technical and operational challenges unique to government use cases
• Develop a program-level technical roadmap for transitioning generative AI technologies and processes into prototypes and working products even when requirements are undefined or ambiguous
• Partner with Scale engineering, operations, and other public sector teams to build and deliver impactful agentic AI solutions

Must haves:

• An active TS/SCI clearance
• 5+ years of work experience leading technical teams in industry or government 
• A technical background (education or professional experience with computer science or engineering)
• A deep understanding of ML operations process
• A track record of structured, analytics-driven problem-solving
• Excellent verbal and written communication skills
• Willingness to be onsite with the customer in the Colorado Springs area 4 days per week and able to travel at least 25% of the time (as needed)

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.
• Proficiency in Python, SQL or other programming languages
• A proven track record in B2B client facing roles and expanding client relationships
• Prior experience delivering technical solutions to government customers
• Domain expertise in a relevant field (e.g. modeling and simulation, joint planning processes, intelligence workflows, etc)

Scale's Public Sector customer base is growing rapidly, and you will ensure that these customers become passionate, lifelong Scale partners. As a member of our Public Sector Delivery team, you are a catalyst, willing to go deep, get technical, and drive change.  You are the ultimate hands-on leader, triaging customer issues and support, using data and analytics to align internal resources around Scale’s hardest problems, and driving the creation of tools that add direct value to Scale’s Public Sector customers. All of this serves an ultimate goal of delivering outsized value in supporting our Public Sector customer’s AI/ML objectives.  

Your natural inclination is to dive into both technology and organizational processes to craft effective solutions and gain efficiencies. You are biased towards finding not just one-off solutions, but repeatable and scalable ways to ensure we continually deliver on customer objectives. You have a track record of driving technical projects to completion, and stewarding lasting organizational change. And you are naturally empathetic, have high EQ, and excel at building long-term relationships through diligent problem solving, domain competence, and thoughtful, strategic discussions

You will:

• Drive innovation and transformation by diving deep into technical and operational challenges, solving undefined problems, and delivering impactful solutions for Public Sector customers
• Leverage technical concepts, tools, and expertise to create solutions from scratch or drastically improve existing solutions
• Use data, analytics, and technical expertise to align internal resources and create tools that directly add value to customers in the public sector space
• Transition AI/ML technologies and processes into working Public Sector products / solutions even when requirements are undefined or ambiguous
• Partner with engineering, operations, and other public sector teams to build and deliver AI systems tailored to unique government use cases in the computer vision and generative AI domains
• Lead a cross-functional team to exceed the customer’s AI/ML objectives
• Manage the long-term health of the customer base by identifying and preempting areas of risk or concern
• Strategically identify ways we can make customer success repeatable and solve issues for future customers
• Address engineering problems alongside the product development teams

Must Haves:

• An active TS/SCI clearance
• 3+ years of experience succeeding in stakeholder management or customer-facing role
• A technical background (education or professional experience with CS, Economics, Statistics, Engineering)
• A deep understanding of ML operations process
• A track record of structured, analytics-driven problem-solving
• Excellent verbal and written communication skills
• Willingness to travel at least 25% of the time

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
• Proficiency in Python, SQL or other programming languages

Role

We are looking for a Senior Product Manager, AI / Data Classification to join our Data Protection team. This is a hybrid role based in San Jose, CA (3 days onsite). While local candidates are preferred, we are open to remote candidates based on the West Coast for exceptional applicants. 

We’re looking for a Product Manager to lead data classification capabilities within a Data Security platform. You’ll own the end-to-end product strategy for discovering and classifying sensitive data across cloud, on-prem data stores and SaaS applications, turning classification outcomes into actionable risk reduction for security, privacy, and compliance teams.

What You’ll Do (Role Expectations)

• Partner closely with a focused engineering, data science/ML, design, sales, and customer success to deliver accurate, scalable classification, clear policy outcomes, and measurable customer value
• Own the classification taxonomy, labeling standards, and policy model (custom categories, confidence thresholds, inheritance, overrides, exceptions)
• Drive accuracy improvements by managing precision/recall targets, sampling strategies, tuning workflows, and customer feedback loops
• Set requirements for scanning at enterprise scale (billions of objects, large tables), optimizing cost, latency, and coverage
• Define how the platform combines pattern-based detectors, NLP/ML, and LLM-assisted classification for structured and unstructured data

Who You Are (Success Profile)

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are customer-obsessed. You build deep empathy for the customer—both internal and external—and anchor your decisions in solving their real-world problems. You champion their needs from start to finish, knowing their success is our success.
• You operate with urgency. You understand that in a high-growth environment, speed and quality are not mutually exclusive. You have a relentless focus on execution and a bias for action, delivering high-impact results quickly to win for the customer and the team.

What We’re Looking for (Minimum Qualifications)

• Product Management experience, with meaningful ownership of data security/privacy products. Product management experience can be substituted with data science experience
• Demonstrated experience shipping products that use AI/ML and/or LLMs in production, with a strong understanding of data classification approaches across structured and unstructured data
• Expertise in evaluation and quality measurement for classification systems and building/maintaining golden datasets
• Ability to design human-in-the-loop workflows for high-stakes labels, covering review/approval, exception handling, and audit trails
• Experience driving cost/performance tradeoffs for AI at scale, including token/compute budgeting, model selection, and managing latency for large corporations

What Will Make You Stand Out (Preferred Qualifications)

• Strong technical collaboration skills with ML engineering and data science
• Familiarity with embedding-based similarity and semantic retrieval for classification and deduping (vector DBs, ANN indexing, chunking strategies)
• Prior work in DSPM/DLP/CASB/insider risk where false negatives have high blast radius and you have designed processes to manage that risk

#LI-KM9 #LI-hybrid

The Team:

Celonis Services is a strategic services organization that focuses on the technical aspects of our customers' journeys, which includes Consulting Services, Academy and Customer Support. We are thought leaders with deep product, technical and domain expertise and focus on delivering Celonis implementations and driving product adoption for our customers. We achieve this by bringing together our best practices, delivery experience, award-winning enablement, and support expertise.

The Role:

As a Senior Consultant, you lead our agile project teams to accelerate our customers’ digital transformation and drive Celonis’ international expansion. You identify our customers’ strategic priorities and lead your project team towards developing data-driven process insights using SQL and creating complex data models to ensure that customers receive maximum value. You will become an expert in all kinds of company processes such as Finance, Order Management, Procurement, Warehouse Management, Customer Service, Production, e-Commerce, Opportunity Management, Supply Chain Management. You always leverage the newest features and functionalities of the Celonis software, such as Process Analytics, Process Automation, Task Mining and Machine Learning. 

The work you’ll do:

• Lead and drive the implementation process while delivering exceptionally high levels of service to ensure the optimal solution for our customers with our Celonis technology 
• Transform the customer’s data using SQL to create the data model for your process analysis
• Design and implement innovative analyses and execution apps and enrich them with Machine Learning algorithms or Task Mining to make the customer’s processes transparent and automated 
• Analyze the data to identify process inefficiencies and understand the root causes to jointly suggest approaches to overcome them
• Quantify the business and financial potential and present the most relevant KPIs to the management 
• Translate business requirements into technical specifications
• Conduct value creation workshops and align measures to improve process inefficiencies 
• Set the foundation of the path to value to make the long-term customer success journey happen

The qualifications you need:

• Preferred location is Washington, DC
• 5+ years working experience in IT-Consulting, Management Consulting, Process Improvement or a similar area 
• Must have relevant experience in Public Sector vertical
• Requires Active Security Clearance (that will remain active for at least 18+ months upon hire)
• Proficiency with SQL or other programming languages (Python, R, Matlab...) and a strong interest in Big Data, Data Mining, and Process Mining
• Strong communication skills in English and enjoy interacting with various customers to understand and interpret business processes
• You are very dedicated and visionary and want to actively drive the Celonis Process Mining technology forward 
• Excellent analytical skills, well organized and known for being a quick learner
• Successfully completed your studies in Business Informatics, Computer Science, Information-oriented Business Administration/ Economics, Mathematics or a comparable degree program

Visa sponsorship is not offered for this role.

The Team:

Celonis Services is a strategic services organization that focuses on the technical aspects of our customers' journeys, which includes Consulting Services, Academy and Customer Support. We are thought leaders with deep product, technical and domain expertise and focus on delivering Celonis implementations and driving product adoption for our customers. We achieve this by bringing together our best practices, delivery experience, award-winning enablement, and support expertise.

The Role:

As a Lead Consultant, you lead our agile project teams to accelerate our customers’ digital transformation and drive Celonis’ international expansion. You identify our customers’ strategic priorities and lead your project team towards developing data-driven process insights using SQL and creating complex data models to ensure that customers receive maximum value. You will become an expert in all kinds of company processes such as Finance, Order Management, Procurement, Warehouse Management, Customer Service, Production, e-Commerce, Opportunity Management, Supply Chain Management. You always leverage the newest features and functionalities of the Celonis software, such as Process Analytics, Process Automation, Task Mining and Machine Learning. 

The work you’ll do:

• Lead and drive the implementation process while delivering exceptionally high levels of service to ensure the optimal solution for our customers with our Celonis technology 
• Transform the customer’s data using SQL to create the data model for your process analysis
• Design and implement innovative analyses and execution apps and enrich them with Machine Learning algorithms or Task Mining to make the customer’s processes transparent and automated 
• Analyze the data to identify process inefficiencies and understand the root causes to jointly suggest approaches to overcome them
• Quantify the business and financial potential and present the most relevant KPIs to the management 
• Translate business requirements into technical specifications
• Conduct value creation workshops and align measures to improve process inefficiencies 
• Set the foundation of the path to value to make the long-term customer success journey happen

The qualifications you need:

• Must be located in Washington DC, New York City or Raleigh.
• 7+ years working experience in IT-Consulting, Management Consulting, Process Improvement or a similar area 
• Must have relevant experience in Public Sector vertical
• Requires Active Security Clearance (that will remain active for at least 18+ months upon hire)
• Proficiency with SQL or other programming languages (Python, R, Matlab...) and a strong interest in Big Data, Data Mining, and Process Mining
• Strong communication skills in English and enjoy interacting with various customers to understand and interpret business processes
• You are very dedicated and visionary and want to actively drive the Celonis Process Mining technology forward 
• Excellent analytical skills, well organized and known for being a quick learner
• Successfully completed your studies in Business Informatics, Computer Science, Information-oriented Business Administration/ Economics, Mathematics or a comparable degree program

Visa sponsorship is not offered for this role

Join Our Team as a Technology Transactions Lawyer (Public Sector) at Axiom

Location: Remote

We are seeking a technology transactions lawyer to to support our client, one of the largest tech companies in the world. In this role, you will provide legal support related to technology transactions and product counseling, including the negotiation of technology and services contracts with public sector customers. This position offers the opportunity to support cloud services and related public sector accreditation matters, including FedRAMP and CJIS.

Responsibilities:

• Drafting, reviewing, and negotiating technology and services contracts with public sector customers
• Negotiating contracts with US federal, state, local, and educational customers
• Supporting partner and reseller contract negotiations
• Assisting with the development of terms and templates
• Supporting work related to cloud services and public sector accreditations (FedRAMP, CJIS)

Qualifications:

• Experience in technology transactions and/or product counseling
• Strong knowledge of negotiating technology or services contracts with public sector customers
• Experience working with public sector customers, including federal, state, local, and educational entities
• Juris Doctor (JD) degree and licensed to practice law in an applicable jurisdiction

Preferred Skills:

• Experience with product counseling
• Familiarity with public sector accreditation frameworks (e.g., FedRAMP, CJIS)

Compensation:

The estimated total compensation for full-time Axiom attorney roles is $166,000-240,000 per year. Compensation decisions are based on various factors, including, but not limited to, experience, skills, certifications, location, and business needs.  Employees may be eligible for additional benefits, including health, dental, and vision insurance; paid holidays and PTO; flexible work arrangements; and professional development opportunities and tools.

About Axiom:

For over 25 years, Axiom has pioneered the alternative legal services industry, now serving more than 1,500 legal departments globally with our unique blend of world-class legal talent and advanced AI tools, delivering innovative solutions ranging from that combine top-tier talent with cutting-edge technology. We tackle complex legal matters across 12 practice areas for clients ranging from Fortune 100 to SMBs, empowering our legal professionals to engage in meaningful work that advances their careers. Our Talent NPS score of +71% and our Client NPS score of +64% highlight our commitment to excellence (Reported scores were Axiom’s average for 2025 – the legal industry average NPS score is +35%). Join our forward-thinking community where you’ll keep your career dynamic and multi-faceted, be part of a company that values agility, collaboration, and excellence, and love both the law and your life.

Learn more about life at Axiom. 

Axiom is the global leader in high-caliber, on-demand legal talent. Covering North America, the UK, Europe, and APAC, we enable legal departments to drive efficiency and growth and meet the demands of today’s business landscape with best in class alterative legal services.  

Diversity is core to our values and we are proud to be an equal opportunity employer. Axiom ensures equal employment opportunity in recruitment and employment, without discrimination or harassment on the basis of race, color, nationality, national or ethnic origin, religious creed or belief, political opinion, sex, gender, gender identity, gender identity status, pregnancy or maternity, age, disability, alienage or citizenship status, marital (or civil or other partnership recognized by law) status, genetic predisposition or carrier status, sexual orientation, military service, or any other characteristic protected by applicable law. Axiom prohibits and will not tolerate any such discrimination or harassment.

Upon request and consistent with applicable laws, Axiom will provide reasonable accommodations for individuals with disabilities who require accommodations to participate in each stage of the recruitment process. To request an accommodation, please contact benefits@axiomlaw.com.

Axiom respects your privacy. For an explanation of the kind of information we collect about you and how it is used, our full data privacy notice is available here.   

Employment with Axiom may be contingent upon successful completion of a background check, providing proof of identity, and possessing the necessary legal authorization to work. Pursuant to the San Francisco Fair Chance Ordinance, NY Fair Chance Act, and Los Angeles Fair Chance Initiative, we will consider for employment qualified applicants with arrest and conviction records.  

#LI-ML

As our Sr. Director of IC Strategy and Growth, you will shape and execute enterprise growth strategies that drive sustained value creation and position MetroStar as a leading innovator across the Intelligence Community. You will bring a forward-leaning, market-informed perspective—leveraging insights, partnerships, and emerging technologies to identify and capture high-impact opportunities.

In this role, you will operate as part of an integrated growth ecosystem, partnering closely with Operations, Capture, and Solution teams to translate strategy into executable pipelines and winning outcomes. We are building a team of growth leaders with differentiated strengths across business development, strategic planning, pipeline development, and cross-functional collaboration—focused on driving measurable growth and expanding MetroStar’s footprint across the IC market.

We know that you can’t have great technology services without amazing people. At MetroStar, we are obsessed with our people and have led a two-decade legacy of building the best and brightest teams. Because we know our future relies on our deep understanding and relentless focus on our people, we live by our mission: A passion for our people. Value for our customers.

If you think you can see yourself delivering our mission and pursuing our goals with us, then check out the job description below!

What you’ll do:

• Proactively identify and qualify new business opportunities within the Intelligence community through a variety of sources
• Establish relationships with GS-13+ levels across the government
• Participate in industry groups and conferences to represent and promote our solutions and digital services
• Participate in responses to Requests for Proposal (RFPs) and Requests for Information (RFIs)
• Provide weekly reporting and analysis of the business development pipeline, and pitch new deals and strategies to strengthen our pipeline
• Engage in industry events and serve as liaison for memberships and event participation
• Work collaboratively and proactively across the organization to drive and achieve broader company growth objectives

What you’ll need to succeed:

• An active TS/SCI with CI Poly
• Established, executive-level relationships across the Intelligence Community, including DIA, NGA, NRO, and adjacent agencies, with the credibility to engage senior decision-makers and shape mission priorities. 
• Proven ability to develop and execute account strategies that position MetroStar to influence, pursue, and win high-value opportunities through strong customer intimacy and partner alignment. 
• Demonstrated success building and leading strategic pipelines, from opportunity identification through qualification, shaping, and award, consistently meeting or exceeding growth targets. 
• Deep understanding of IC missions, organizational structures, procurement dynamics, and evolving priorities, with the ability to translate mission needs into actionable growth strategies. 
• Strong grasp of the competitive landscape, including key players, contract vehicles, funding streams, and on-contract positioning strategies. 
• Track record of capturing and closing large, complex deals (>$50M), including leading capture efforts, shaping requirements, and driving win strategies.
• Fluency in modern technology domains—such as Enterprise IT, DevSecOps, AI/ML, and data-centric solutions—and the ability to align these capabilities to IC mission outcomes. 
• Relentless focus on growth, with a data-driven, strategic approach to pipeline management, opportunity prioritization, and win execution.

SALARY RANGE: $184,000 - $276,000

The salary range for this position is determined based on qualifications, skills, and relevant experience. The final salary offered will be determined based on several factors including: 

• The candidate's professional background and relevant work experience
• The specific responsibilities of the role and organizational needs
• Internal equity and alignment with current team compensation
• This role is also eligible for additional compensation, subject to the terms and policies of MetroStar, which may include:
• Performance-based bonuses
• Company-paid training and/or certifications
• Referral bonuses

As our Sr. Director of Homeland Strategy and Growth for National Security, you will lead the development and execution of growth strategies across DHS, DOJ, and DOS, driving sustained value and expanding MetroStar’s market presence. You will leverage deep market insight, customer relationships, and strategic partnerships to identify, shape, and capture high-impact opportunities.

In this role, you will partner closely with Operations, Capture, and Solution teams to translate strategy into executable pipelines and winning outcomes, accelerating growth across the National Security portfolio.

We know that you can’t have great technology services without amazing people. At MetroStar, we are obsessed with our people and have led a two-decade legacy of building the best and brightest teams. Because we know our future relies on our deep understanding and relentless focus on our people, we live by our mission: A passion for our people. Value for our customers.

If you think you can see yourself delivering our mission and pursuing our goals with us, then check out the job description below!

What you’ll do:

• Identify, qualify, and shape new business opportunities across DHS, DOJ, and DOS components
• Build and maintain relationships with senior government stakeholders (GS-13+ and above)
• Represent MetroStar at industry events, associations, and conferences to promote capabilities and expand market presence
• Support and contribute to RFP and RFI responses, including shaping and positioning activities
• Maintain and report on pipeline health, providing insights, deal strategies, and growth recommendations
• Collaborate cross-functionally with Capture, Operations, and Solutions teams to drive pursuit and win strategies
• Strengthen industry partnerships and identify teaming opportunities to increase win probability

What you’ll need to succeed:

• An active Secret clearance
• Established, executive-level relationships across National Security agencies (DHS, DOJ, and/or), with the ability to engage senior decision-makers and influence mission priorities 
• Proven ability to develop and execute account strategies that position MetroStar to influence, pursue, and win high-value opportunities 
• Demonstrated success building and managing a qualified pipeline, from identification through award, aligned to growth targets 
• Deep understanding of National Security missions, organizational structures, procurement dynamics, and evolving priorities 
• Strong knowledge of the competitive landscape, including key players, contract vehicles, and funding streams 
• Track record of capturing and closing large, complex deals ($50M+) 
• Working knowledge of modern technologies (Enterprise IT, DevSecOps, AI/ML, data solutions) and their application to mission outcomes 
• Results-driven approach to pipeline development, prioritization, and deal execution

SALARY RANGE: $184,000 - $276,000

The salary range for this position is determined based on qualifications, skills, and relevant experience. The final salary offered will be determined based on several factors including: 

• The candidate's professional background and relevant work experience
• The specific responsibilities of the role and organizational needs
• Internal equity and alignment with current team compensation
• This role is also eligible for additional compensation, subject to the terms and policies of MetroStar, which may include:
• Performance-based bonuses
• Company-paid training and/or certifications
• Referral bonuses

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