ML Engineer Jobs in Denver.
All active ML Engineer roles based in Denver.
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Machine Learning Engineer
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About Judi Health
Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including:
- Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,
- Judi Health™, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and
- Judi®, the industry’s leading proprietary Enterprise Health Platform (EHP), which consolidates all claim administration-related workflows in one scalable, secure platform.
Together with our clients, we’re rebuilding trust in healthcare in the U.S. and deploying the infrastructure we need for the care we deserve. To learn more, visit www.judi.health.
Position Summary:
Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Machine Learning Engineer. We are looking for a software engineer with machine learning expertise to join us in expanding our AI capabilities, enabling increased productivity and magical experiences in our products and services.
In this role you will be expected to design and implement complex AI systems that leverage ML models for NLP, NLG, multimodal data analysis, chatbots, and RAG-based QnA. The ideal candidate should be passionate about applying AI/ML concepts to difficult problems and develop scalable solutions. We want people who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing capabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare.
Responsibilities:
- Develop and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc.
- Develop and maintain backend services using Python, focusing on AI-driven applications.
- Design and implement APIs for seamless integration with AI models and services.
- Develop tools for large-scale data processing and ETL and contribute to extracting insights from data to help guide ML systems development
- Participate in code reviews, testing, and quality assurance processes.
- Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services.
- Develop algorithms to ensure the integrity and robustness of ML solutions by developing automated testing and validation processes.
- Document and communicate development processes and implementation details with peers and supervisors
- Ensure the security and compliance of healthcare data, adhering to HIPAA regulations.
Required Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
- 2+ years experience in the industry with a strong focus on ML solutions development and production deployment is a plus.
- Good understanding of Machine Learning fundamentals such as Deep Neural Networks, Transformer-based LLM and MLMs, Boosted or standard decision trees, RAG, etc.
- Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development.
- Proficiency in Python and familiarity with ML libraries such as PyTorch.
- Familiarity with GenAI services such as OpenAI GPT, Anthropic Claude, Google Gemma etc. Some experience in developing and fine-tuning prompts on any of the GenAI services is a plus.
- Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking.
- The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment.
- Good written communication skills that enable collaboration in a remote environment.
This range represents the low and high end of the anticipated base salary range. The actual base salary will depend on several factors such as: experience, knowledge, skills, and location of the job.
All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals.
Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at https://www.judi.health/legal/privacy-policy.
Ready to apply?
Apply to Judi Health
Senior Pre- & Post-Sales Customer Engineer, Enterprise
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The Team + The Role
Pendo’s Customer Engineering team is the technical backbone of the pre- and post-sales customer motion. The team brings together work that has historically sat across Customer Success, Technical Account Management, and Solutions Engineering into one full-lifecycle technical owner. Customer Engineering helps customers connect technical execution to business outcomes and realize the value of their investment in Pendo.
As a Senior Customer Engineer, you own strategic and complex Enterprise accounts across acquisition, implementation, adoption, expansion, and escalation. You lead technical strategy for complex deployments, resolve ambiguous customer challenges, and partner closely with account teams to drive retention, expansion, and customer value. Your impact extends beyond your own accounts through playbooks, coaching, repeatable fixes, and workflow improvements that raise the capability of the broader Customer Engineering team.
This is a remote role supporting a West Coast territory.
What this looks like day-to-day
- New customer acquisition and selling: Partner with Account Directors on pre-sales motions for new customer acquisition, product expansion, and expansion across lines of business. You identify customer pain, craft and deliver tailored demos, and lead technical evaluations through requirements gathering, success criteria, installation guidance, and hands-on workshops.
- Complex implementations and value realization: Lead onboarding for strategic customers, including planning, implementation, integrations, and training. You build customer-specific implementation playbooks, guide complex deployments with executive visibility, and ensure customers realize value during onboarding and over time.
- Adoption, expansion, and growth: Identify opportunities to expand adoption across underutilized features, untapped products, and new lines of business. When adoption stalls, you diagnose root causes, design a path forward, and connect technical work to measurable business outcomes.
- Technical escalation: Serve as an escalation point for complex technical challenges raised by other Customer Engineers. You resolve ambiguous problems with multiple variables and tradeoffs, involving Product or Engineering only when truly needed.
- Team capability building: Build playbooks, document repeatable fixes, coach peers, and improve how Customer Engineering work gets done across the team. You use AI tools to accelerate content creation, surface patterns across accounts, and share practical workflow findings with the broader team.
- Early account impact: Assess account health, risks, stakeholder relationships, and the highest-priority problems to solve within your portfolio. You establish trust with Account Directors and customer stakeholders, then independently lead complex customer interactions that move accounts forward.
- Quarterly business outcomes: Drive measurable improvement in customer health, retention, expansion, and technical resolution across strategic accounts. You contribute reusable frameworks, playbooks, or processes that other Customer Engineers use and become a trusted advisor to Account Directors on account health and technical strategy.
Who You Are
Beyond the qualifications, we hire through a specific lens. These aren't buzzwords; they're the things we'll actually look for in how you talk about your work.
You're a builder, not a maintainer.
You're most energized when there isn't a clear path yet, and you get to define it. You don't wait for direction; you identify gaps, shape solutions, and drive them forward. At Pendo, great Senior Customer Engineers don't just follow instructions; they operate as strategic advisors, influencing decisions, guiding stakeholders, and elevating how we work.
You're AI-curious - genuinely.
You're not using AI tools occasionally. You're rewiring how you work around them. You're faster, sharper, and more prolific because of it, and you bring that energy to everything — how you approach your work, how you prep, how you communicate, how you think. We want someone who sees AI as a multiplier, not a shortcut.
Must-haves
- 5 to 8 years of experience in a customer-facing technical role such as Sales Engineering, Solutions Engineering, Technical Account Management, Customer Engineering, implementation, professional services, or solutions architecture.
- Deep hands-on experience with web technologies including HTML, CSS, JavaScript, and REST APIs, with the ability to architect and troubleshoot complex front-end implementations.
- Proven experience managing strategic Enterprise accounts with executive-level stakeholders, competing priorities, and complex technical or business requirements.
- Demonstrated ability to solve ambiguous problems involving multiple variables, constraints, and tradeoffs.
- Experience connecting technical execution to business outcomes such as retention, expansion, ROI, and value realization.
- Hands-on use of AI tools for account research, content creation, or workflow automation, with demonstrated integration into day-to-day work rather than light experimentation.
- Experience mentoring or coaching more junior technical team members.
Nice-to-haves
- Experience with Pendo, digital adoption platforms, product analytics, or in-app experience tooling in an enterprise environment.
- Hands-on experience with mobile app development, including Swift, Android, or React Native.
- Familiarity with data architecture, AI or machine learning concepts, or advanced analytics instrumentation.
- Track record of building reusable frameworks, playbooks, or processes that were adopted by a broader team.
About Pendo
Pendo was founded in 2013 by former product managers, who combined their heads and hearts to build something they wanted but never had as product managers: a simple way to understand and attack what truly drives product success. Our mission is to improve society's experience with software. Come join one of the fastest-growing startups, supported by best-in-class institutions like Battery Ventures, Salesforce Ventures, Spark Capital and Meritech.
Pendo Core Values: Bias to Act, Hone Your Craft, The Team is Pendo, and Maniacal Focus.
Location: Remote
Compensation: The expected On-Target Earnings (OTE) range for this role is $193,393 - $241,742, with a 70/30 base-to-variable compensation split.
Benefits: Pendo offers highly competitive United States benefits, including employer-heavy coverage with $0 premium options, strong 401(k) match, equity, and flexible time off.
EEOC: We are an equal opportunity employer and believe having diverse teams where everyone brings their whole self to Pendo is key to our success. We welcome all people of different backgrounds, experiences, abilities and perspectives.
Accessibility: Pendo is committed to working with, and providing access and reasonable accommodation to, applicants with mental and/or physical disabilities. If you think you may require an accommodation for any part of the recruitment process, please send a request to: accommodation@pendo.io. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.
Ready to apply?
Apply to PendoDataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
Delivering Customer Success is an important focus for Dataiku. As a Senior Customer Success Engineer (CSE) within our Solutions Engineering team, you’ll help Dataiku’s customers achieve meaningful outcomes with business analytics, AI/ML, and Gen AI.
In this technical and consultative customer-facing role, you’ll focus on technical programming to increase adoption through product enablement and one-to-many user engagement. You’ll leverage your understanding of enterprise analytics, high-impact communication abilities, and hands-on data science skills to add business value. This role will also partner closely with cross-functional teams, including Account Executives, Sales Engineers, and Professional Services and Partners to accelerate end-user adoption.
How you’ll make an impact
- Work closely with Dataiku’s customers, focusing on onboarding, increasing user adoption, retention, and satisfaction.
- Possess deep technical knowledge of the Dataiku platform to educate customers on best practices within the Dataiku platform.
- Develop a deep understanding of customer business, use cases, and outcomes to guide their success with Dataiku's products and services.
- Execute demonstrations of new product features and conduct hands-on workshops in collaboration with the Sales Engineers.
- Establish regular touchpoints with customers to advise users on using Dataiku for their specific business needs, including hands-on support as appropriate.
- Execute programs to create self-sustaining enablement and evangelism of Dataiku within customer accounts.
- Collaborate with Account Executives and Sales Engineers to drive customer engagements with the Dataiku platform and identify opportunities for expansion (both software and professional services) that can drive additional value for customers.
- Document and share the adoption status and key information to inform internal forecasting and renewal.
- Collaborate with other Dataiku functions (such as marketing) on capturing and sharing the customer stories publicly.
- When identifying technical issues that block user adoption, coach administrators and users to initiate support tickets for timely resolution.
- Stay current on Dataiku’s products, competitive landscape, and data science trends.
- Willingness to travel up to 25%.
What you’ll need to be successful
- Bachelor’s degree in Data Science, Business Analytics, Statistics, Computer Science, or a related technical field.
- Minimum of four years of experience in sales engineering, technical or solutions consulting, post-sales technical delivery, or data science roles with a proven track record of customer trust and satisfaction.
- Strong written and oral presentation skills, capable of engaging both business and technical stakeholders.
- Strong technical, analytical, and problem-solving skills.
- Experience in building and operating communities of practice.
- Ability to navigate ambiguity, build consensus, foster accountability, and work with urgency to deliver customer outcomes.
- Ability to tailor messaging to personas with varying levels of technical acumen, including no-code and high-code users
- Dataiku advanced designer, Snowflake SnowPro Core and Databricks Business Analyst certifications preferred (not required).
- Preferably located within the Northeast region of the United States.
What will make you stand out
- Never-ending intellectual curiosity, detail-oriented, and analytical.
- Hands-on experience with data storage and computing infrastructure (SQL, Kubernetes, etc.) and proficiency with Python, R, SQL
- Knack for public speaking with appreciation for engaging with all levels of customer teams, from individual contributors to leadership.
- Passion for technology, the data and analytics space, and enjoyment learning new solutions, features, and functionalities, translating these into business value for customers.
- Experience in Analytics/AI or other enterprise software (preferred but not required).
The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training. Eligible roles may also be entitled to receive commission or other variable compensation through Dataiku's incentive compensation program.
Dataiku also offers comprehensive benefits, including stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a 401k company match, paid vacations and sick leave, paid parental leave, employer paid disability coverage, and additional health and wellbeing perks and benefits. Dataiku reserves the right to amend or modify employee perks and benefits at any time.
Ready to apply?
Apply to Dataiku
Sr. Solution Engineer - Electric, Gas, Telecommunications, Rail
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Overview
As a GIS subject matter expert, you’re a natural at identifying the right analysis tools for the problem at hand. Not only do you create innovative solutions, you talk about solutions in ways that get others excited about the power of GIS technology. Join an account team and advise customers on their most complex business challenges. Leverage your problem-solving skills to demonstrate the value of GIS and how it finds unique patterns, trends, and understanding.
At Esri, we are committed to our customers and their success. It is a place for you to do your best work and partner with our customers amid a supportive culture that encourages creativity, collaboration, and passion.
Responsibilities
- Build relationships. Present, demonstrate, and support selling Esri software and solutions as part of the account team. Gain access to technical enterprise-level decision makers and lead technical meetings that drive revenue.
- Be an expert. Be a technical leader of Esri technology as well as a subject matter expert of electric, gas and/or telecommunications. Demonstrate your advanced understanding of sales strategies and initiatives to develop complex solutions for Esri’s most strategic customers. Understand an organization’s business structure, associated workflows, third party business systems, and integration points. Share knowledge and coach new team members on best practices.
- Solve problems. Proactively craft and propose solutions that clarify how GIS brings business value to our customers by addressing the critical challenges they face. Define and deliver complex strategies that align Esri technology with our largest customers’ business needs.
- Tell our story. Design presentations for technical and non-technical audiences within Esri’s largest customers. Provide configuration guidance and best practices. Present at large conferences and executive engagements.
Requirements
- 5+ years of experience with Esri technology creating maps, performing spatial analysis, and configuring web applications
- 3+ years of experience in electric, gas and/or telecommunications
- Broad knowledge of ArcGIS from an IT context (such as hardware, storage, security, networking, web services, virtualization, cloud computing)
- Demonstrated experience in technical consulting and conceptual solution design
- Understanding of sales and business development processes
- Ability to troubleshoot client issues related to Esri application deployment and system architecture
- Experience with geodatabases and underlying DBMS technology
- Knowledge of cloud computing concepts and environments (Microsoft Azure or AWS)
- Experience integrating software solutions with other business systems including data warehousing, BI, CRM, ERP, and analytics platforms
- Programming and scripting experience with languages such as Python and JavaScript,
- Remarkable presentation, interpersonal, and listening skills
- Ability to travel domestically or internationally 25-50%
- Bachelor’s degree in geography, computer science, or a related field
- Visa sponsorship is not available for this posting. Applicants must be authorized to work for any employer in the U.S.
Recommended Qualifications
- Experience incorporating real-time information streams with existing GIS data and IT infrastructure
- Knowledge of digitalization strategies that include mobile, IoT, advanced analytics and data science (AI/ML), and imagery
- Master’s degree in geography, computer science, or a related field
Questions about our interview process? We have answers.
#LI-JP2
#LI-onsite
Total Rewards
Esri’s competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum accrual of 80 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth. Base salary is one component of our total rewards strategy. Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
The Company
At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life’s best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri’s Racial Equity and Social Justice initiatives, please visit our website here.
If you don’t meet all of the preferred qualifications for this position, we encourage you to still apply!
Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.
Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.
Ready to apply?
Apply to Esri
Cloud Operations Administrator - II
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Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
We want people who are passionate about troubleshooting complex problems with systems, networking and storage at scale.
We are looking for a seasoned system administrator to help us keep the cloud running smoothly. Reporting to the manager of Cloud Operations, the GPU Operations Engineer monitors and provides first-response to all cloud health issues that impact, or could potentially impact, customer experience - internal or external. You will interface with teams across the organization to research and troubleshoot issues from single droplets to cloud-wide disturbances. Our workweek spans five days, and that may involve working on weekends.
What You'll Be Doing:
- Ensuring maximum uptime for our global infrastructure
- Automating processes and building tools to improve operational efficiency
- Coordinating operational work across teams to improve the platform with minimal impact
What You'll Add to DigitalOcean:
- Solid experience with Linux operating systems or Networking and day to day upkeep
- Familiarity with virtualization technologies and troubleshooting virtual machine instances
- Familiarity with containerization technologies and troubleshooting containers
- Familiarity with IPv4 Networking and troubleshooting (CCNA equivalent)
- Basic storage concepts and technologies
- Experience with monitoring systems and incident management
- Experience scripting in one or more of the following languages: Bash, Python, or Go
- Experience with GPU hardware or AI/ML, and Kubernetes
- A passion for good documentation and open communication
- Proven ability to learn!
Compensation Range:
- $107,000 - $134,000
*This is a remote role
JR: 2026-7423
#LI-Remote
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Ready to apply?
Apply to DigitalOcean
GIS Solution Engineer – Electric, Gas, Telecommunications, Rail
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Overview
As a GIS subject matter expert, you’re a natural at identifying the right analysis tools for the problem at hand. Not only do you create innovative solutions, you talk about solutions in ways that get others excited about the power of GIS technology. Join an account team and advise customers on their most complex business challenges. Leverage your problem-solving skills to demonstrate the value of GIS and how it finds unique patterns, trends, and understanding.
At Esri, we are committed to our customers and their success. It is a place for you to do your best work and partner with our customers amid a supportive culture that encourages creativity, collaboration, and passion.
Responsibilities
- Build relationships. Present, demonstrate, and support selling Esri software and solutions as part of the account team. Support your team as you help plan and execute sales strategies.
- Be an expert. Become a subject matter expert of electric, gas and/or telecommunications as well as a technical expert of ArcGIS. Speak confidently with customers about Esri technologies and thoroughly communicate the Esri message. Be a visionary for your customers anticipating their needs and the technology trends that may impact them.
- Solve problems. Proactively craft and propose solutions that clarify how GIS brings business value to our customers by addressing the critical challenges they face. Define and deliver strategies to customers that align Esri technology with their business.
- Tell our story. Present technical demonstrations of proposed solutions to customers. Successfully design presentations for technical and non-technical customers. Provide best practices related to the use, deployment, and administration of Esri technology. Present at conferences and trade shows.
Requirements
- 2+ years of experience with Esri technology creating maps, performing spatial analysis, and configuring web applications
- 1+ years of experience in electric, gas and/or telecommunications
- Understanding of ArcGIS from an IT context (such as hardware, storage, security, networking, web services, virtualization, cloud computing)
- Experience in technical consulting and conceptual solution design as well as an understanding of sales and business development processes
- Experience with geodatabases and underlying DBMS technology
- Knowledge of cloud computing concepts and environments (Microsoft Azure or AWS)
- Remarkable presentation, interpersonal, and listening skills
- Ability to travel domestically or internationally 25-50%
- Bachelor’s degree in geography, computer science, or a related field
- Visa sponsorship is not available for this posting. Applicants must be authorized to work for any employer in the U.S
Recommended Qualifications
- Ability to troubleshoot client issues related to Esri application deployment and system architecture
- Experience integrating software solutions with other business systems including data warehousing, BI, CRM, ERP, and analytics platforms
- Experience incorporating real-time information streams with existing GIS data and IT infrastructure
- Basic understanding of artificial intelligence/machine learning concepts
- Programming and scripting experience with languages such as Python and JavaScript
- Master’s degree in geography, computer science, or a related field
Questions about our interview process? We have answers.
#LI-Onsite
#LI-JP2
Total Rewards
Esri’s competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum accrual of 80 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth. Base salary is one component of our total rewards strategy. Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
The Company
At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life’s best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri’s Racial Equity and Social Justice initiatives, please visit our website here.
If you don’t meet all of the preferred qualifications for this position, we encourage you to still apply!
Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.
Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.
Ready to apply?
Apply to Esri
At Guild, we believe talent is everywhere and that opportunity should be too. We continue to have our home and headquarters in Denver, but we have embraced a distributed model of working to reach the best talent in the United States. While some roles may require proximity to our Denver office, roles based outside of our Denver office can sit in any of the following 32 states: AZ, CA, CO, CT, FL, GA, ID, IL, IN, KS, MA, MD, ME, MI, MN, MO, NC, NH, NJ, NV, NY, OH, OK, OR, PA, SC, TN, TX, UT, VA, WA, WI and Washington D.C. Please only apply if you are able to live and work full-time in one of the states listed above. State locations and specifics are subject to change as our hiring requirements shift.
If you are an Internal Candidate, please apply via our Internal Job Board.
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To thrive as a company and meet our impact goals, we must cultivate a culture of high-performance. We know managers are often the single-largest driver of employee satisfaction and growth, and our talent is our biggest asset. Because of that, we’ve identified consistent expectations for all of Guild’s people managers — helping you know what to expect from your experience here.
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Guild is hiring a Security Engineer. The Information Security team is looking to add a highly motivated and technically inclined individual to work as a Cloud Security Engineer. We are looking for a candidate that is comfortable working in an exciting and fast paced environment. This individual’s responsibilities will mainly focus on ensuring protection of Guild’s various cloud resources and environments. These efforts will ultimately allow Guild to fulfill its mission while also meeting business objectives and compliance requirements.
As a Security Engineer, you will:
- Identify security issues and risks with Guild’s systems and environments. Develop and execute remediation/mitigation plans that provide long term risk reduction.
- Collaborate with cross-functional engineering teams to integrate and advance security standards within a comprehensive enterprise application security program.
- You will serve as a strategic partner to engineering squads, providing expert guidance on the integration and remediation of findings from SAST, DAST, and SCA tools.
- You will design and enforce robust security architectures across the company’s AWS ecosystem.
- Architect and implement security controls for agentic AI systems, including identity, network, and runtime-level defenses (e.g., sandboxing, policy enforcement).
- Develop comprehensive threat models and conduct realistic threat simulations across Guild's offerings, including LLMs, AI agents, and MCP components.
- Develop and tune security policy within various security tools and platforms (CNAPP, EDR, Email Gateway, Vulnerability Management, SIEM, etc…).
- Maintain SOC-2 compliance and assist with audit/client related requests. Assist with incident response and investigation activities.
- Fulfill regular on-call responsibilities as part of a team rotation.
You are a strong fit for this role if you have:
Required Competencies
- Thorough understanding of Integrated Development Environment (IDE) and Continuous integration / Continuous Delivery (CI/CD) Pipeline tools and processes
- Proven experience with software development methodologies and secure coding practices
- 5+ years of industry experience in security engineering, with meaningful focus on cloud security and application security
- Excellent problem-solving and analytical skills. Strong communication skills, both written and verbal, for collaborating with technical and non-technical teams.
- Ability to work independently, prioritize tasks, and manage multiple security projects simultaneously.
Preferred Competencies
- Solid understanding of LLMs, AI architecture patterns, machine learning models, and related technologies (e.g., MCP, RAG, agentic frameworks)
- Experience with container security, kernel-level hardening, and modern isolation techniques.
- AWS Certifications
We are committed to equal pay for equal work and believe in compensation transparency. All salary ranges are standardized nationwide and will not vary by region. This role offers a competitive total compensation package, including a base salary of $150,000 - $180,000 and stock options. Compensation offered will be based on a combination of factors such as experience, competencies, and internal equity.
Posting Date: May 6, 2026
Guild partners with the country’s most innovative employers, including Chipotle, Target, Walgreens, JPMorgan Chase, Hilton, Spectrum, PepsiCo, Tyson, and more, to build the talent needed for today and a resilient workforce for tomorrow. Guild helps employers identify, develop, and mobilize internal talent, enabling workers to gain skills for in-demand roles and companies to stay agile.
By connecting employees to real-world learning, coaching, and career support, and providing companies with actionable talent insights, Guild transforms all talent into high-impact contributors and positions companies for long-term, sustainable growth. For more information, visit https://www.guild.com.
Guild is a female-founded, certified B Corp. The company has been recognized by Fortune’s Change the World list (2021, 2025), the Forbes Cloud 100 (2020–2025), Great Place to Work (2022–2025), CNBC’s Disruptor 50 (2021–2024), TIME’s 100 Most Influential Companies (2022), Inc.’s Best-Led Companies (2021), Fast Company’s World Changing Ideas (2020), and B Lab’s Best for the World (2019), among many others.
Guild is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you have a disability or special need that requires accommodation, please let your recruiter know. We currently offer the following benefits:
- Access to low-cost, high-quality health care options through Collective Health and Kaiser (due to coverage limitations, Kaiser is currently only available in CA & CO)
- Access to a 401k to help save for the future
- Vacation policy to rest and recharge
- 8 days of fully-paid sick leave, to take the time to heal and or recover
- Family-friendly benefits, including 12 weeks of parental leave for non-birthing parents and 18-20 weeks for birthing parents; 2-week ramp-up period for when employees return from a leave of 6 weeks or more; as well as employer-paid short-term and long-term disability, employer-sponsored life insurance, fertility and caregiving benefits.
- Well-rounded wellness benefits including free and low cost mental health resources and financial wellbeing support services
- Education benefits and tuition assistance to help your future development and growth
PRIVACY NOTICE
I understand that I am applying for employment with Guild and am being asked to provide information in connection with my application. I further understand that Guild gathers this information through a third-party service provider and that Guild may use other service providers to assist in the application process. Guild may share my information with such third-party service providers in connection with my application and for the start of employment.
I understand and agree to Guild's use of my information in accordance with Guild's Privacy Policy and, for applicants that are residents of the State of California, Guild's Applicant Privacy Notice and California Notice at Collection.
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Senior Agentic Engineer
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About MGT Insurance
MGT is the first AI-driven, neo-insurer focused on evolving commercial P&C insurance for the brokers and small business owners. By combining the expertise of industry veterans with state-of-the-art technology, we are ushering in the next evolution of commercial insurance and working to move the industry forward through the use of modern technology, better processes, and a rock-star team. We seek visionary leaders who thrive in dynamic, entrepreneurial settings, and excel in autonomous roles.
About Us MGT Insurance is modernizing the insurance industry with cutting-edge web technologies and user-centric design. We are seeking an Agentic Engineer with over 6 years of experience and a deep expertise in AI agents, LLMs, and autonomous system architectures to join our engineering, data science, and insurance product teams in building the next generation of self-directed insurance platform capabilities.
Position Overview As anAgentic Engineer, you will be responsible for designing, developing, and deploying sophisticated AI agent systems that can reason, plan, and execute complex insurance workflows autonomously. This role requires a combination of hands-on AI engineering, technical leadership, and strategic automation development to build intelligent agents that transform how our platform operates and serves customers.
Key Responsibilities
- Agentic System Architecture: Lead the design and implementation of multi-agent systems using LLMs, vector databases, and agent orchestration frameworks to create intelligent, goal-oriented automation.
- Reasoning & Planning Systems: Implement advanced reasoning capabilities including chain-of-thought processing, multi-step planning, and decision trees for complex insurance scenarios.
- Observability & Monitoring: Design comprehensive observability frameworks for agent systems including real-time performance metrics, decision tracing, and behavioral analytics to ensure full visibility into autonomous operations.
- Testing & Quality Assurance: Implement rigorous testing strategies for agentic systems including unit testing for agent components, integration testing for multi-agent workflows, and adversarial testing for edge cases and failure modes.
- Regulatory Compliance & Governance: Establish comprehensive governance frameworks that ensure agent decision-making processes meet insurance regulatory requirements including audit trails, explainability standards, fair lending compliance, and state insurance commission oversight requirements.
Qualifications
- Expertise in LLMs and Agent Frameworks including OpenAI GPT, Anthropic Claude, LangChain, CrewAI, or similar platforms for building autonomous AI systems.
- Strong software engineering background with proficiency in Python, TypeScript, and modern AI/ML deployment patterns including vector databases, embedding systems, and real-time inference.
- Experience with agent architecture patterns including ReAct, function calling, multi-agent coordination, and tool use frameworks for complex workflow automation.
Location: Candidates based in Madison, Wisconsin or San Francisco, California are preferred to facilitate close collaboration with our team.
Who We Are
- Small & Agile: We're a tight-knit engineering team of fewer than 10 people who move fast and make things happen
- High Agency: We operate with autonomy and ownership - everyone acts like a founder and drives meaningful impact
- Action-Oriented: We believe in "see something, do something" - no bureaucracy, just results
- Passionate Builders: We take pride in crafting elegant code, intuitive applications, and solving real problems
- Team First: We genuinely enjoy working together and believe great products come from great relationships
- Quality Focused: We ship code we're proud of and build systems that stand the test of time
What We Offer
- Competitive salary and benefits package.
- Leadership role in pioneering autonomous AI systems in the insurance industry.
- A unique opportunity to build cutting-edge agentic technology that transforms insurance operations.
- A collaborative and forward-thinking work environment at the intersection of AI and insurance.
- Continuous learning and career development opportunities in emerging AI technologies and autonomous system leadership.
Compensation Range: $175,000 – $275,000 annual base salary + bonus + equity (commensurate with experience and dependent on location)
We recognize that no candidate will meet every qualification and encourage individuals with relevant experience and interest in the role to apply.
Please note: MGT does not accept unsolicited resumes from staffing vendors, including recruitment agencies and/or search firms. Please do not forward resumes to our jobs alias, MGT employees, or any other company location. Any submittals without a prior signed agreement will become property of MGT.
Our Commitment to Diversity, Equity & Inclusion
At MGT, inclusion drives excellence and belonging sustains it. We believe diverse perspectives make us stronger, more innovative, and more connected to the people we serve. We value every voice, champion equity, and create space where all people can grow and succeed together.
Equal Employment Opportunity Statement
MGT is proud to be an Equal Opportunity Employer. We do not discriminate in employment opportunities or practices based on race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, genetic information, marital status, military or veteran status, or any other status protected by applicable law.
All employment decisions are based on qualifications, merit, and business needs. We are committed to providing reasonable accommodations for qualified individuals with disabilities throughout the application and employment process. If you need assistance or accommodations, please contact us at accommodations@mgtinsurance.com.
Disclaimer
This job description is intended to outline the general nature and level of work performed by employees in this role. It is not an exhaustive list of all responsibilities, duties, or qualifications required. MGT Insurance reserves the right to modify, interpret, or apply this job description in any way the company deems appropriate.
Ready to apply?
Apply to MGT Insurance
Principal Software Engineer - Pay Group Engineering
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About Gusto
At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff — payroll, health insurance, 401(k)s, and HR — so owners can focus on their craft and their customers. With teams in Denver, San Francisco, and New York, we support more than 500,000 small businesses nationwide and are building a workplace that reflects the people we serve.
All full-time employees receive competitive base pay, benefits, and equity (RSUs) — because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy.
AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.
Location: Only SF, Denver, NYC
About the Role:
We’re hiring seasoned engineers to join our teams that work on core platform capabilities, improving our existing systems for extensibility and scalability, and building the future of Gusto's Payroll and Tax systems. As a Gusto Software Engineer at this level, you’ll be guiding projects end-to-end by influencing initial feature specs, understanding how to take existing systems closer to desired end states, executing on projects, and maintaining code that powers core experiences. If you’re interested in building elegant software with far-reaching effects in our modern economy, join us!
About the Team:
Payroll is the beating heart of Gusto’s business. Pay Group (payroll and tax) teams are responsible for the product, ops, and service components Gusto uses to onboard customers, process payrolls, calculate taxes and deductions, pay and file with tax agencies, and maintain compliance on behalf of the customers. The domain is highly complex and offers the opportunity to engage in system design that simplifies this for customers, both internal and external.
Sub- Teams:
- Tax Accuracy: The Tax Accuracy group is responsible for gathering and maintaining the necessary information for us to pay and file taxes accurately and on time for our customers, and consists of multiple teams that cover various parts of the process.
- Ledger: This team is building a payroll ledger to track accrual accounting for payroll-related money movement. This team is starting to support the payroll domain, risk, payments, and accounting.
- Engine: This team works closely with the payroll compliance team to ensure enablement of compliant pay, such as minimum wage adjustments, regular rate of pay, etc. We enable end-to-end success of payroll processing and working with various domain teams such as tax calculations, tax setup, payments, and more.
- Platform: This team is developing a new platform to be the common interface for interacting with payroll and tax data. The payroll and tax domain is highly complex; our team exists to make it easier for other application teams to interact with the payroll and tax system. We enable application and experience teams to deliver customer value faster by providing a scalable, flexible, performant, and highly understandable platform to integrate with.
Here’s what you’ll do day-to-day:
- Function as a Technical Lead across multiple teams in Payroll Services, helping us keep engineers unblocked and deliver high-quality work supporting our long-term goals
- Design, build, and test the foundation that supports compliant payroll for millions of people
- Help scale one of the largest Ruby/Rails and TypeScript/React applications in the world
- Collaborate on complex and ambiguous problems with partnerships from Engineering, Product Management, Design, Data Science, Compliance, Operations, and other cross-functional teams
- Mentor and grow fellow engineers working to create holistic and scalable solutions
- Drive the product development process from concept to launch, delivering delightful products that make payroll, taxes, and compliance simple and easy
- Improve the productivity and happiness of our teams with the services, tools, and APIs you build.
- Engage in a highly supportive environment working with others to drive productivity and innovation
- Continuously stay up-to-date with advancements in AI and Machine Learning, applying this knowledge to our projects.
Here’s what we're looking for:
- Successful applicants typically have at least 15+ years of experience
- Able to build maintainable, structured, well-documented code
- Strong knowledge of data structures, data modeling, and system design
- Experience working across 3+ teams, influencing both product and team direction
- Experience working on platform products which are depended upon throughout the company
- Experience engineering, designing, building and supporting large scale systems in production
- An aptitude in bringing clarity and simplicity to complex problems, communicating technical complexity and facilitating informed tradeoffs to major stakeholders
- Experience operationalizing and scaling large interconnected production systems
- Enthusiasm for a collaborative, test-driven environment
- Experience in complex highly regulated domains
- Examples: HR, Payroll, Taxes, or Compliance
- Experience using AI tools to build, test, and iterate on products quickly.
- Understanding of how to evaluate AI-driven outputs using clear success criteria.
- A commitment to staying current on emerging backend technologies and AI frameworks and patterns, regularly experimenting with new approaches.
- Willingness to contribute to shared tools or templates that enhance the speed and safety of AI experimentation.
Our cash compensation amount for this role is targeted at $215,000/yr to $252,000/yr in Denver & most remote locations, and $251,000/yr to $295,000/yr for San Francisco, Seattle & New York. Stock equity is additional. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.
#LI-DNI
Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale.
Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas.
When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees.
Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto.
Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you.
Gusto takes security and protection of your personal information very seriously. Please review our Fraudulent Activity Disclaimer.
Personal information collected and processed as part of your Gusto application will be subject to Gusto's Applicant Privacy Notice.
Ready to apply?
Apply to Gusto, Inc.
Principal Product Manager, AI Enabled Workforce
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About Gusto
At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff — payroll, health insurance, 401(k)s, and HR — so owners can focus on their craft and their customers. With teams in Denver, San Francisco, and New York, we support more than 500,000 small businesses nationwide and are building a workplace that reflects the people we serve.
All full-time employees receive competitive base pay, benefits, and equity (RSUs) — because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy.
AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.
About the Role:
At Gusto, we believe the next frontier of competitive advantage is the intelligence of the systems that power our people. As the Sr Principal PM, AI Workforce Enablement, you are the architect of the "Superhuman Agent." You won't just manage tools; you will redefine the relationship between Gusto’s workforce and technology. You are responsible for evolving our internal foundation into a proactive, agentic platform where AI handles the cognitive load, allowing our Go-to-Market (GTM) and Service teams to focus on high-value human connection. You will lead the transition of our legacy ecosystem into a future-state "exoskeleton" that empowers every employee to deliver an unparalleled, frictionless experience to our customers.
Gusto is looking for a hands-on builder to take on this leadership mantle as we rethink how people grow in an AI-native company. This role is not just about designing the systems that shape growth day-to-day, but the actual mechanics of work. You will be responsible for building new architecture and tearing down what no longer serves us. The goal is simple but hard: make growth obvious, continuous, and hard to avoid.
We’re looking for a leader who can balance strategic influence with hands-on craft—someone who can guide senior Gusto leaders through AI-native data strategy, coach data scientists on impactful problem solving, and dive in to drive forward statistically rigorous analyses when needed.
About the Team:
The Unified Service Platform (USP) product team serves as Gusto’s architectural backbone, responsible for engineering the intelligent, AI-driven ecosystem that brings GTM and Service operations into alignment. Our mission is to replace fragmented point solutions with a singular System of Intelligence—a digital exoskeleton that strips away administrative friction so our teams can focus on what matters most: our customers. Through our commitment to a #OneGusto experience, we provide the platform that ensures every internal interaction is backed by the full context of the customer journey.
We are an AI-native team building "agentic" solutions that transform how work happens. By mastering the AI-Human-AI loop, we own the delivery of a seamless, cross-channel journey across voice, chat, and email. Our goal is to ensure that our internal technical excellence creates an instant, easy and effortless experience for every business Gusto serves.
Here’s what you’ll do day-to-day:
- Architect of the "System of Intelligence": Lead the evolution of Gusto’s internal workspace by integrating 1P (first-party) and 3P (third-party) systems into a unified platform. Transform CRM into a proactive platform that anticipates agent needs and triggers automated workflows across the entire tech stack before manual intervention is required.
- Design the Future-State Agent Experience: Build the product mechanics for a symbiotic "AI-Human-AI" loop, where intelligent systems handle high-volume tasks and documentation, elevating our human experts to focus on high-value, high-empathy problem solving.
- Engineer the "Digital Exoskeleton": Ship real-time, context-aware assistance and agentic tools that eliminate cognitive load, enabling every Gustie to operate with "superhuman" speed and accuracy across voice, chat, and email.
- Lead with Technical Craft: Partner with Data Science and Engineering to bridge the gap between high-level AI strategy and rigorous execution, ensuring our models drive measurable gains in both agent productivity and employee sentiment.
Here’s what we're looking for:
- Visionary Product Leadership: 10+ years of experience in product management, with a proven track record of leading high-stakes internal platforms, RevOps, or Service technology at scale.
- AI Builder & Strategist: AI/ML specialist with deep expertise in LLMs and agentic workflows, building and shipping custom AI solutions that transform how teams work and scale.
- Systems Thinker: You see the "big picture" of how data and tools flow across a company and can architect solutions that solve for the end-to-end customer journey.
- Change Agent: Experience leading large-scale organizational transformations or merging complex technical teams into a unified organization.
- Human-Centric Empathy: A passion for "the work of work"—you are obsessed with making tools that employees love to use and that remove the friction from their daily lives.
- Strategic Execution: The ability to balance long-term 18-month missions (like #OneGusto) with the immediate tactical needs of a fast-growing GTM engine.
If you don't think you meet all of the criteria above but still are interested in the job, please apply. Nobody checks every box, and we're looking for someone excited to join the team.
Our cash compensation amount for this role is $204,000/yr to $238,000/yr in Denver & most major metro locations, and $240,000/yr to $280,000/yr for San Francisco, Seattle & New York. Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above.
Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale.
Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas.
When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees.
Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto.
Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you.
Gusto takes security and protection of your personal information very seriously. Please review our Fraudulent Activity Disclaimer.
Personal information collected and processed as part of your Gusto application will be subject to Gusto's Applicant Privacy Notice.
Ready to apply?
Apply to Gusto, Inc.
Senior Platform Engineer, AI
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Space is a warfighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it.
OUR MISSION
True Anomaly delivers decisive capabilities for space superiority. We build autonomous spacecraft, advanced payloads, mission software, and space-based interceptors — enabling the U.S. and its Allies to secure the space environment and counter threats from the ultimate high ground.
OUR VALUES
- Be the offset. We create asymmetric advantages with creativity and ingenuity.
- What would it take? We challenge assumptions to deliver ambitious results.
- It’s the people. Our team is our competitive advantage and we are better together.
YOUR MISSION
AI-assisted work is the biggest force multiplier available to a company at True Anomaly's stage. It accelerates how we build, how we deliver, and how we scale. We are investing in AI as a core operating capability, not a side experiment, and this role exists to help make that investment real.
As a Senior AI Platform Engineer, you will build the infrastructure, tooling, and integrations that put AI directly into the hands and workflows of every team across the company. This is not a research role. It is a building role. You will ship capabilities that engineers, program managers, operators, and business teams use every day to move faster and produce better work.
The scope is broad by design. You may be standing up on-premises GPU infrastructure one week, building connectors between AI models and internal systems the next, and developing a custom application for a specific business workflow after that. You will contribute to platform-level technical decisions about AI providers, tools, and architectures. You will also help build and deliver AI training and enablement for the company, including office hours, brown bags, and hands-on resources.
This role reports to the Chief Security Officer and works across every function. You will have meaningful autonomy, direct visibility to executive leadership, and the opportunity to shape how a fast-growing defense technology company operates with AI.
RESPONSIBILITIES
- Build and maintain AI platform infrastructure: API integrations, model access pipelines, system connectors (MCP, tool use), and on-premises compute environments as needed
- Develop custom AI-powered applications, workflows, and integrations that connect frontier models to internal systems such as project management, documentation, communications, and operational tools
- Contribute to technical evaluation and selection of AI providers, tools, and platforms, helping inform build-vs-buy decisions based on capability, compliance requirements, and speed to value
- Help design and deliver AI training and enablement programs for the company, including hands-on workshops, office hours, documentation, and shared resources that build real fluency across teams
- Partner with engineering, security, and IT teams to ensure AI deployments meet government security and compliance requirements across data classification levels
- Stay current with the rapidly evolving AI landscape and surface new models, tools, and capabilities that could accelerate the company
QUALIFICATIONS
- Software engineering background with experience building and shipping production systems, ideally in Python, TypeScript, or similar languages common in AI/ML tooling
- Hands-on experience with large language model APIs, including prompt engineering, tool use, retrieval-augmented generation (RAG), or agent frameworks
- Experience building integrations between software systems using APIs, webhooks, data pipelines, or authentication flows
- Ability to work across a broad technical surface area, moving between infrastructure, application development, and platform work as priorities require
- Good communication skills and ability to explain technical AI concepts to non-technical audiences through training, documentation, or direct support
- Comfortable operating with autonomy in a fast-paced environment where priorities shift and the playbook is being written in real time
- Ability to maintain or obtain TS//SCI clearance
PREFERRED SKILLS AND EXPERIENCE
- Experience deploying AI or ML systems in government, defense, or regulated environments with security and compliance constraints
- Familiarity with government cloud environments (AWS GovCloud, Azure Government) and authorization frameworks (FedRAMP, IL4/IL5)
- Experience with on-premises GPU infrastructure (NVIDIA, CUDA) for model hosting or fine-tuning
- Background in developer tooling, platform engineering, or internal tools teams at high-growth technology companies
- Experience building knowledge retrieval systems, embedding pipelines, or enterprise search infrastructure
- Currently hold or have previously held a U.S. security clearance at any level
COMPENSATION
- Base Salary: $170,000-$275,000
- Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave
Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, location, and experience.
ADDITIONAL REQUIREMENTS
- Work Location—while we observe a hybrid work environment, you will need to be onsite as the business needs require. On an average week, you can expect to spend at least 3 days per week in office.
- Work environment—the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job.
- Physical demands—the physical demands of the job, including bending, sitting, lifting and driving.
This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Hybrid
To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.
True Anomaly is committed to equal employment opportunity on any basis protected by applicable state and federal laws. If you have a disability or additional need that requires accommodation, please do not hesitate to let us.
Ready to apply?
Apply to True AnomalyStaff Platform Engineer, AI
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Space is a warfighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it.
OUR MISSION
True Anomaly delivers decisive capabilities for space superiority. We build autonomous spacecraft, advanced payloads, mission software, and space-based interceptors — enabling the U.S. and its Allies to secure the space environment and counter threats from the ultimate high ground.
OUR VALUES
- Be the offset. We create asymmetric advantages with creativity and ingenuity.
- What would it take? We challenge assumptions to deliver ambitious results.
- It’s the people. Our team is our competitive advantage and we are better together.
YOUR MISSION
AI-assisted work is the biggest force multiplier available to a company at True Anomaly's stage. It accelerates how we build, how we deliver, and how we scale. We are investing in AI as a core operating capability, not a side experiment, and this role exists to make that investment real.
As a Staff AI Platform Engineer, you will be one of the first hires to build the infrastructure, tooling, and integrations that put AI directly into the hands and workflows of every team across the company. This is not a research role. It is a building role. You will ship capabilities that engineers, program managers, operators, and business teams use every day to move faster and produce better work.
The scope is broad by design. You may be standing up on-premises GPU infrastructure one week, building connectors between AI models and internal systems the next, and developing a custom application for a specific business workflow after that. You will make platform-level technical decisions about which AI providers, tools, and architectures to adopt. You will also own AI training and enablement for the company, running office hours, brown bags, and building the resources that help people get real value from these tools.
This role reports to the Chief Security Officer and works across every function. You will have significant autonomy, direct access to executive leadership, and the opportunity to define how a fast-growing defense technology company operates with AI.
RESPONSIBILITIES
- Build and maintain AI platform infrastructure: API integrations, model access pipelines, system connectors (MCP, tool use), and on-premises compute environments as needed
- Develop custom AI-powered applications, workflows, and integrations that connect frontier models to internal systems such as project management, documentation, communications, and operational tools
- Own technical evaluation and selection of AI providers, tools, and platforms, making build-vs-buy decisions based on capability, compliance requirements, and speed to value
- Design and deliver AI training and enablement programs for the company, including hands-on workshops, office hours, documentation, and shared resources that help teams build real fluency
- Partner with engineering, security, and IT teams to ensure AI deployments meet government security and compliance requirements across data classification levels
- Stay current with the rapidly evolving AI landscape and bring informed recommendations on new models, tools, and capabilities that could accelerate the company
QUALIFICATIONS
- Strong software engineering background with experience building and shipping production systems, ideally in Python, TypeScript, or similar languages common in AI/ML tooling
- Hands-on experience with large language model APIs, including prompt engineering, tool use, retrieval-augmented generation (RAG), and agent frameworks
- Experience building integrations between AI systems and enterprise platforms (APIs, webhooks, data pipelines, authentication flows)
- Demonstrated ability to work across a broad technical surface area, context-switching between infrastructure, application development, and platform architecture
- Strong communication skills and ability to translate technical AI concepts for non-technical audiences through training, documentation, and direct support
- Self-directed and comfortable operating with high autonomy in a fast-paced environment where priorities shift and the playbook is being written in real time
- Ability to maintain or obtain TS//SCI clearance
PREFERRED SKILLS AND EXPERIENCE
- Experience deploying AI or ML systems in government, defense, or regulated environments with security and compliance constraints
- Familiarity with government cloud environments (AWS GovCloud, Azure Government) and authorization frameworks (FedRAMP, IL4/IL5)
- Experience with on-premises GPU infrastructure (NVIDIA, CUDA) for model hosting or fine-tuning
- Background in developer tooling, platform engineering, or internal tools teams at high-growth technology companies
- Experience building knowledge retrieval systems, embedding pipelines, or enterprise search infrastructure
- Currently hold or have previously held a U.S. security clearance at any level
COMPENSATION
- Base Salary: $200,000 - $330,000
- Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave
Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, location, and experience.
ADDITIONAL REQUIREMENTS
- Work Location—while we observe a hybrid work environment, you will need to be onsite as the business needs require. On an average week, you can expect to spend at least 3 days per week in office.
- Work environment—the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job.
- Physical demands—the physical demands of the job, including bending, sitting, lifting and driving.
This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Hybrid
To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.
True Anomaly is committed to equal employment opportunity on any basis protected by applicable state and federal laws. If you have a disability or additional need that requires accommodation, please do not hesitate to let us.
Ready to apply?
Apply to True Anomaly
Senior Software Engineer – SDA
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Katalyst Description:
We build robotic spacecraft that enable dynamic space operations, creating a future where maneuvering, upgrading, refueling, and exploration are as routine as they are on Earth. Getting to space and overcoming the gravity well is only half the story. What you do there is the future. We are not building the trains. We are building the machines that lay down the tracks. By developing the foundational capabilities that make sustained, responsive operations possible, we enable a new era of space activity that strengthens national security and ensures freedom of action in an increasingly contested domain.
Katalyst Culture:
Working at Katalyst is intense, hands-on, and deeply rewarding. You’ll take real ownership and see your work move from concept to operations in an environment where the problems are hard and the impact is real. We value humility, craftsmanship, and doing things the right way, even when it’s harder. You’ll work closely with thoughtful, driven teammates who push each other to do their best.
What You'll Do
- Design and implement containerized microservices within an AWS environment (Lambda, ECS)
- Lead the design of relational database schemas (Postgres), prioritizing query performance engineering and indexing strategies to handle large, readily available SDA datasets
- Own the end-to-end feature development and integration of streaming and batch ETL pipelines
- Familiarity with deploying ML models in production and adding instrumentation to monitor model performance
- Help with architecture design and defining technical direction
- Mentor and help develop other less experienced engineers
What We Value:
- Strong ownership mentality – you’ll lead technical execution and ensure your features make it from development to production
- Accountable – The team knows they’ll be able to depend on you
- Curiosity – We are solving the hardest problems in space and want to hear everyone’s voice to ensure we’re always innovating
- Leadership – You will be on a small team and will be empowered to help grow the culture and influence technical direction
Your Ideal Background:
Required:
- 5+ years of full-time software engineering experience
- Experience working in the defense/space industry
- Comfortable working in a small, fast-paced Agile environment
- Strong communication skills and ability to execute under uncertainty
- Familiarity with one or more of the following: Machine Learning, SDA, Backend Development
- Proficiency in Linux, Python, SQL, Docker, and AWS
- Eligible to obtain and maintain an active U.S. security clearance
Nice to Have:
- Experience instrumenting microservices with Observability (we use the LGTM stack)
- Comfortable leading algorithm development across different SDA data modalities (EO, Orbital, RF, etc.) to solve problems such as anomaly detection, pattern-of-life modeling, or maneuver detection
Compensation and Benefits:
Your base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. The anticipated salary range for this role is $150,000 - $190,000 annually.
Base salary is just one part of your total rewards package at Katalyst. You will also be eligible for long-term incentives, in the form of the Employee Stock Option and Equity Plan, as well as a relocation bonus and other discretionary bonuses. You will also receive access to comprehensive medical, vision, and dental coverage, and unlimited Paid Time Off.
At Katalyst our work on projects involving the U.S. Department of Defense requires adherence to International Traffic in Arms Regulations (ITAR), 22 C.F.R. Parts 120-130, which requires compliance with U.S. export laws before allowing employees to perform certain positions. Currently, our available roles necessitate access to ITAR-controlled information, and as a result, Katalyst would have to ensure any non-US person is authorized access to ITAR information before the commencement of employment. We are committed to equal employment opportunities and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
*remote work will require an exception from the hiring team
Ready to apply?
Apply to Katalyst Space Technologies
Senior Full-Stack Engineer II - AI/ML
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Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
Senior Full-Stack Engineer II - AI/MLDo the best work of your career at DigitalOcean. Join a high‐caliber community building the simplest, most scalable cloud on the market. If you think big, move fast, and thrive in a bold, high‐growth environment, you’ll fit right in. We win together—learning, having fun, and delivering real impact for the dreamers and builders we serve.We’re hiring a Senior Full-Stack Engineer to build end‐to‐end features that make accelerated compute simple and accessible for everyone.The AI Application Platform team builds AI and agentic applications across modalities—LLMs, images, audio, and video—on top of DigitalOcean’s high‐performance inference engine. Our mission is to keep the latest state‐of‐the‐art models available at peak performance. We’re moving fast to build the next generation of AI applications and platform workflows at DigitalOcean.
What You’ll Be Doing:
- Own a technical area by providing technical leadership for a teamDrive large cross-functional projects independently to completion
- Work primarily in Python, and Go to build and scale AI application services such as ADK, agentic tools
- Maintain and develop APIs, MCPs and SDKs
- Collaborate on design and UXBuild and scale products to achieve operational excellenceIndependently ship product features from planning to launch to maintenance with high autonomy
- Partner with SRE/DevOps on reliability, observability, incident response, and deployment workflows
- Collaborate with other engineers to find elegant architectures and solutions
What You’ll Add to DigitalOcean:
- Own a technical area by providing technical leadership for a team
- Experience with ML platforms, AI techniques (e.g., LLMs, multimodal, large vision models) or with genAI-related concepts (e.g., evaluations, tracing, insights, language modeling, computer vision)
- Able to make effective trade-offs in regards to both engineering and product requirements, while balancing short term and long term needs
- 8+ years relevant industry experience in a fast-paced, high growth tech environment building and scaling production-grade systems
- Demonstrated design and UX sensibilities, especially for technical teamsKnowledge of API standards including REST, Python, or GoDesign of cloud ready systems and architectures.
Compensation Range:
- $184,000 - $231,000
*This is a remote role
JR: 2026-7617
#LI-Remote
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Ready to apply?
Apply to DigitalOcean
Senior Software Engineer, Identity & Access Management
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Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
We are seeking a Senior Software Engineer (IC3) to join our Customer Trust & Engineering team working on Identity and Access Management. IAM is the bedrock of trust at DigitalOcean; our services sit in the critical path of every request, authorizing billions of transactions per second with single-digit millisecond latency.
In this role, you won't just maintain existing systems—you will architect the next generation of our Identity platform. You will be instrumental in supporting our AI initiatives, building seamless SSO integrations for global partners, and evolving our policy engine to support complex, agentic workflows. If you are passionate about distributed systems, security-first engineering, and building at hyperscale, this is the team for you.
What You’ll Do
- Architect for Scale: Design and develop high-availability, low-latency authentication and authorization services in Go that scale to handle massive load spikes across global regions.
- Drive Next-Gen Innovation: Build the IAM foundations for emerging cloud-native AI/ML platforms, designing secure token exchange patterns and identity context injection for agentic AI workflows.
- Modernize Identity: Lead the implementation of OIDC and SAML integrations, enabling seamless federated Single Sign-On (SSO) for enterprise customers and strategic global partners.
- Solve Complex AuthZ: Evolve our Policy Engine (using industry standards like Rego/OPA) to support advanced resource-level permissions, dynamic scoping, and network-aware access conditions.
- Evolve Identity Models: Design and scale robust, multi-tenant data models to manage complex hierarchical structures (users, teams, organizations, and resource boundaries) that map to enterprise customer needs.
- Operational Excellence: Take ownership of service reliability, from fine-tuning Kubernetes deployments to migrating legacy data pipelines to modern eventing architectures.
- Security First: Proactively identify and remediate complex security vulnerabilities, ensuring our auth flows are resilient against credential stuffing, session hijacking, and configuration theft.
- Mentor & Lead: Act as a technical lead for major workstreams, conducting deep code reviews and mentoring junior engineers in distributed systems best practices.
What You’ll Add to DigitalOcean
- Experience: 5+ years of software engineering experience, with at least 2+ years focused on Identity (AuthN/AuthZ), Security Products, or high-scale Distributed Systems.
- Language Expert: Expert-level proficiency in Go and a strong understanding of gRPC microservices architecture.
- Identity Specialist: Deep knowledge of identity protocols (OIDC, OAuth2, SAML) and access control models (RBAC, ABAC, PBAC).
- Distributed Systems Guru: Proven ability to build systems that handle consensus, replication, and partitioning at cloud scale.
- Cloud Native: Working experience with container orchestration (Kubernetes), SQL (MySQL), and Infrastructure as Code (Terraform).
- Problem Solver: A track record of "unwinding" complex legacy logic into clean, maintainable abstractions.
- Communication: Ability to communicate technical strategy to senior leadership and collaborate across teams (Inference, Billing, DOKS).
Nice to Have
- Experience with Open Policy Agent (OPA) and Rego.
- Familiarity with Cloud-native deployment strategies (Canary/Blue-Green) via kubernetes.
Compensation Range:
- $140,800 - $176,000
*This is a remote role
JR: 2026-7665
#LI-Remote
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Ready to apply?
Apply to DigitalOcean
Senior Engineer, Inference Data Plane
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Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
DigitalOcean is expanding its AI Infrastructure layer to support the next generation of AI-driven applications.
We are seeking a Senior Engineer 2 to play a key role in our AI Infrastructure Control Plane team. This team's mission is to orchestrate and operate compute fleet, storage and networking for running AI workloads - inference, training, fine-tuning - at scale. In this high-impact role, you will be a primary technical architect and leader, responsible for building the foundational control plane services that power our large Gen AI model hosting infrastructure.
This is a hands-on role, requiring you to be able to develop high quality software while availing of all the productivity boosts granted by the latest AI coding agents. You will bridge the gap between high-scale distributed systems and specialized AI inference orchestration to ensure our global platform remains simple, reliable, and accessible for developers building the next generation of AI applications.
What You’ll Do:
- Architectural Leadership: Drive the design and development of distributed services within our AI Infrastructure ecosystem, including complex orchestration for LLM inference and hosting services. Your focus will be the control plane orchestration of compute, networking, and storage for AI workloads.
- System Design: Create, refine, and assess system design proposals for our high-scale, multi-tenant inference cloud ecosystem, ensuring they meet rigorous standards for availability and resiliency.
- Operational Excellence: Lead the operational strategy for critical services, defining SLOs and leveraging advanced observability to maintain platform health in a high-scale environment.
- Cross-Functional Collaboration: Partner deeply with Product Management, TPMs, and Engineering Management peers to align technical roadmaps with business priorities.
- Strategic Growth: Work on new architecture initiatives that enable fleet optimization and help evolve DigitalOcean into a market leader for AI-native networking and infrastructure.
What You’ll Bring to DigitalOcean:
- Distributed Systems Mastery: Deep experience with distributed and cloud services, including messaging systems, databases, and infrastructure as code, observability, and security.
- Cloud Infrastructure Expertise: Advanced knowledge of cloud networking (VPCs, Load Balancers), containerization (Kubernetes), and cloud storage (block, object, NFS). Deep networking software experience (VLAN, RDMA, Ethernet, L3-L7 network protocols, etc) would be a plus.
- AI/ML Domain Knowledge: Proven experience building AI/ML products, specifically focusing on Gen AI platforms, LLM hosting, and inference workflows.
- Operational Track Record: Significant experience running customer-facing, high-availability services across multiple regions.
- Open Source Engagement: Experience integrating and building with open-source software and a bias for technical ownership.
- Software Engineering: Expert proficiency in GoLang or Python and familiarity with gRPC for service-to-service communication.
Compensation Range:
- $139,200.00 - $174,000.00
*This is a remote role
JR: 2026-7623
#LI-Remote
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Ready to apply?
Apply to DigitalOcean
Senior Engineer II, AI Inference Engine Systems
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Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
DigitalOcean is expanding its AI Infrastructure layer to support the next generation of AI-driven applications. We are seeking a Senior Engineer 2 to join our AI Inference Engine Systems team. In this role, you will be a key technical leader responsible for designing, developing, and delivering high-scale, resilient data plane services that power our "Inference as a Service" offering. You will work at the intersection of distributed systems and specialized AI hardware to ensure our customers can deploy and scale their models with industry-leading performance and reliability. This is a hands-on role, requiring you to be able to develop high quality software while availing of all the productivity boosts granted by the latest AI coding agents.
What You’ll Do:
- Technical Leadership: Act as a technical leader on the team, driving the end-to-end design, development, and delivery of critical data plane components hosting large generative AI models.
- System Design: Architect and refine system design proposals for our high-scale, multi-tenant AI inference cloud ecosystem, ensuring they meet rigorous availability and resiliency standards.
- Performance Optimization: Implement and optimize distributed inference hosting using techniques like tensor/data parallelism, KV cache optimizations, and smart routing.
- Collaboration: Work cross-functionally with Product Managers, customer-facing teams, and other engineering teams to align technical roadmaps with customer needs.
- Mentorship: Coach and mentor junior engineers, fostering a culture of technical excellence and continuous improvement.
- Operational Excellence: Maintain and operate critical, high-scale services, utilizing observability tools and defining SLOs to ensure superior platform health.
What You’ll Bring to DigitalOcean:
- Distributed Systems Expertise: Strong experience with microservices, messaging systems, databases, and infrastructure as code.
- AI/ML Domain Knowledge: Hands-on experience hosting large language or multimodal models using inference engines like vLLM, SGLang, or Modular.
- Inference Frameworks: Familiarity with distributed inference serving frameworks such as llm-d, NVIDIA Dynamo, or Ray Serve.
- Hardware & Interconnects: Understanding of GPU-level optimization and experience with interconnect technologies like NVlink, XGMI, or RoCE.
- Architecture Proficiency: Knowledge of common LLM architectures and optimization techniques (e.g., continuous batching, quantization).
- Software Engineering: Expert-level proficiency in GoLang or Python and familiarity with gRPC.
- Cloud Operations: Proven experience shipping customer-facing software products and running critical services in a high-scale environment similar to DigitalOcean.
- Open Source Mindset: Experience integrating and building with open-source software.
Compensation Range:
- $167,200.00 - $209,000
*This is a remote role
JR: 2026-7591
#LI-Remote
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Ready to apply?
Apply to DigitalOcean
Senior Software Engineer II - AI/ML
Share this job
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
We are looking for a Senior Software Engineer to build features and improvements end to end to make accelerated compute simple and accessible for everyone.
The AI/ML team is responsible for building an AI platform to manage OSS and custom models across modalities (LLMs, images, audios, videos) on top of a high-performance inference engine, to ensure the latest SOTA models are always available at peak performance. We’re a fast-paced team looking to build the next generation of AI/ML workflows on DigitalOcean.
What You’ll Be Doing:
- Own a technical area by providing technical leadership for a team
- Drive large cross-functional projects independently to completion
- Work primarily in Python, and Go to build and scale model services such as inference, fine-tuning, model benchmarks and evaluations
- Maintain and develop APIs and SDKs
- Collaborate on design and UX
- Build and scale products to achieve operational excellence
- Independently ship product features from planning to launch to maintenance with high autonomy
- Collaborate with other engineers to find elegant architectures and solutions
What You’ll Add to DigitalOcean:
- Own a technical area by providing technical leadership for a team
- Experience with ML platforms, AI techniques (e.g., LLMs, multimodal, large vision models) or with genAI-related concepts (e.g., evaluations, language modeling, computer vision)
- Able to make effective trade-offs in regards to both engineering and product requirements, while balancing short term and long term needs
- 8+ years relevant industry experience in a fast-paced, high growth tech environment building and scaling production-grade systems
- Demonstrated design and UX sensibilities, especially for technical teams
- Knowledge of API standards including REST, Python, or Go
Compensation Range:
- $167,200 - $209,000
*This is a remote role
JR: 2026-7446
#LI-Remote
#LI-SK1
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Ready to apply?
Apply to DigitalOcean
Senior Software Engineer - AI/ML
Share this job
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
We want people who are passionate about taking complex concepts and providing a simple and accessible experience for users.
We are looking for a Senior Software Engineer to build features and improvements end to end to make accelerated compute simple and accessible for everyone.
The AI/ML team is responsible for building an AI platform to manage OSS and custom models across modalities (LLMs, images, audios, videos) on top of a high-performance inference engine, to ensure the latest SOTA models are always available at peak performance. We’re a fast-paced team looking to build the next generation of AI/ML workflows on DigitalOcean.
What You’ll Be Doing:
- Own a technical area by providing technical leadership for a team
- Drive large cross-functional projects independently to completion
- Work primarily in Python, and Go to build and scale model services such as inference, fine-tuning, model benchmarks and evaluations
- Maintain and develop APIs and SDKs
- Collaborate on design and UX
- Build and scale products to achieve operational excellence
- Independently ship product features from planning to launch to maintenance with high autonomy
- Collaborate with other engineers to find elegant architectures and solutions
What You’ll Add to DigitalOcean:
- Own a technical area by providing technical leadership for a team
- Experience with ML platforms, AI techniques (e.g., LLMs, multimodal, large vision models) or with genAI-related concepts (e.g., evaluations, language modeling, computer vision)
- Able to make effective trade-offs in regards to both engineering and product requirements, while balancing short term and long term needs
- 4+ years relevant industry experience in a fast-paced, high growth tech environment building and scaling production-grade systems
- Demonstrated design and UX sensibilities, especially for technical teams
- Knowledge of API standards including REST, Python, or Go
Compensation Range:
- $154,400.00 - $193,000.00
*This is a hybrid role
JR: 2026-7447
#LI-Hybrid
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Ready to apply?
Apply to DigitalOcean
Senior Software Engineer - AI/ML
Share this job
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
We want people who are passionate about taking complex concepts and providing a simple and accessible experience for users.
We are looking for a Senior Software Engineer to build features and improvements end to end to make accelerated compute simple and accessible for everyone.
The AI/ML team is responsible for building an AI platform to manage OSS and custom models across modalities (LLMs, images, audios, videos) on top of a high-performance inference engine, to ensure the latest SOTA models are always available at peak performance. We’re a fast-paced team looking to build the next generation of AI/ML workflows on DigitalOcean.
What You’ll Be Doing:
- Own a technical area by providing technical leadership for a team
- Drive large cross-functional projects independently to completion
- Work primarily in Python, and Go to build and scale model services such as inference, fine-tuning, model benchmarks and evaluations
- Maintain and develop APIs and SDKs
- Collaborate on design and UX
- Build and scale products to achieve operational excellence
- Independently ship product features from planning to launch to maintenance with high autonomy
- Collaborate with other engineers to find elegant architectures and solutions
What You’ll Add to DigitalOcean:
- Own a technical area by providing technical leadership for a team
- Experience with ML platforms, AI techniques (e.g., LLMs, multimodal, large vision models) or with genAI-related concepts (e.g., evaluations, language modeling, computer vision)
- Able to make effective trade-offs in regards to both engineering and product requirements, while balancing short term and long term needs
- 4+ years relevant industry experience in a fast-paced, high growth tech environment building and scaling production-grade systems
- Demonstrated design and UX sensibilities, especially for technical teams
- Knowledge of API standards including REST, Python, or Go
Compensation Range:
- $154,400.00 - $193,000.00
*This is a remote role
JR: 2026-7447
#LI-Remote
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Ready to apply?
Apply to DigitalOcean
Senior Software Engineer - AI/ML
Share this job
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
We want people who are passionate about taking complex concepts and providing a simple and accessible experience for users.
We are looking for a Senior Software Engineer to build features and improvements end to end to make accelerated compute simple and accessible for everyone.
The AI/ML team is responsible for building an AI platform to manage OSS and custom models across modalities (LLMs, images, audios, videos) on top of a high-performance inference engine, to ensure the latest SOTA models are always available at peak performance. We’re a fast-paced team looking to build the next generation of AI/ML workflows on DigitalOcean.
What You’ll Be Doing:
- Own a technical area by providing technical leadership for a team
- Drive large cross-functional projects independently to completion
- Work primarily in Python, and Go to build and scale model services such as inference, fine-tuning, model benchmarks and evaluations
- Maintain and develop APIs and SDKs
- Collaborate on design and UX
- Build and scale products to achieve operational excellence
- Independently ship product features from planning to launch to maintenance with high autonomy
- Collaborate with other engineers to find elegant architectures and solutions
What You’ll Add to DigitalOcean:
- Own a technical area by providing technical leadership for a team
- Experience with ML platforms, AI techniques (e.g., LLMs, multimodal, large vision models) or with genAI-related concepts (e.g., evaluations, language modeling, computer vision)
- Able to make effective trade-offs in regards to both engineering and product requirements, while balancing short term and long term needs
- 4+ years relevant industry experience in a fast-paced, high growth tech environment building and scaling production-grade systems
- Demonstrated design and UX sensibilities, especially for technical teams
- Knowledge of API standards including REST, Python, or Go
Compensation Range:
- $154,400.00 - $193,000.00
*This is a remote role
JR: 2026-7447
#LI-Remote
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Ready to apply?
Apply to DigitalOcean
Senior Software Engineer - AI/ML
Share this job
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
We want people who are passionate about taking complex concepts and providing a simple and accessible experience for users.
We are looking for a Senior Software Engineer to build features and improvements end to end to make accelerated compute simple and accessible for everyone.
The AI/ML team is responsible for building an AI platform to manage OSS and custom models across modalities (LLMs, images, audios, videos) on top of a high-performance inference engine, to ensure the latest SOTA models are always available at peak performance. We’re a fast-paced team looking to build the next generation of AI/ML workflows on DigitalOcean.
What You’ll Be Doing:
- Own a technical area by providing technical leadership for a team
- Drive large cross-functional projects independently to completion
- Work primarily in Python, and Go to build and scale model services such as inference, fine-tuning, model benchmarks and evaluations
- Maintain and develop APIs and SDKs
- Collaborate on design and UX
- Build and scale products to achieve operational excellence
- Independently ship product features from planning to launch to maintenance with high autonomy
- Collaborate with other engineers to find elegant architectures and solutions
What You’ll Add to DigitalOcean:
- Own a technical area by providing technical leadership for a team
- Experience with ML platforms, AI techniques (e.g., LLMs, multimodal, large vision models) or with genAI-related concepts (e.g., evaluations, language modeling, computer vision)
- Able to make effective trade-offs in regards to both engineering and product requirements, while balancing short term and long term needs
- 4+ years relevant industry experience in a fast-paced, high growth tech environment building and scaling production-grade systems
- Demonstrated design and UX sensibilities, especially for technical teams
- Knowledge of API standards including REST, Python, or Go
Compensation Range:
- $154,400.00 - $193,000.00
*This is a remote role
JR: 2026-7447
#LI-Remote
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Ready to apply?
Apply to DigitalOcean
Senior Software Engineer - AI/ML
Share this job
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
We want people who are passionate about taking complex concepts and providing a simple and accessible experience for users.
We are looking for a Senior Software Engineer to build features and improvements end to end to make accelerated compute simple and accessible for everyone.
The AI/ML team is responsible for building an AI platform to manage OSS and custom models across modalities (LLMs, images, audios, videos) on top of a high-performance inference engine, to ensure the latest SOTA models are always available at peak performance. We’re a fast-paced team looking to build the next generation of AI/ML workflows on DigitalOcean.
What You’ll Be Doing:
- Own a technical area by providing technical leadership for a team
- Drive large cross-functional projects independently to completion
- Work primarily in Python, and Go to build and scale model services such as inference, fine-tuning, model benchmarks and evaluations
- Maintain and develop APIs and SDKs
- Collaborate on design and UX
- Build and scale products to achieve operational excellence
- Independently ship product features from planning to launch to maintenance with high autonomy
- Collaborate with other engineers to find elegant architectures and solutions
What You’ll Add to DigitalOcean:
- Own a technical area by providing technical leadership for a team
- Experience with ML platforms, AI techniques (e.g., LLMs, multimodal, large vision models) or with genAI-related concepts (e.g., evaluations, language modeling, computer vision)
- Able to make effective trade-offs in regards to both engineering and product requirements, while balancing short term and long term needs
- 4+ years relevant industry experience in a fast-paced, high growth tech environment building and scaling production-grade systems
- Demonstrated design and UX sensibilities, especially for technical teams
- Knowledge of API standards including REST, Python, or Go
Compensation Range:
- $154,400.00 - $193,000.00
*This is a remote role
JR: 2026-7447
#LI-Remote
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Ready to apply?
Apply to DigitalOcean
Senior Software Engineer II - AI/ML
Share this job
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
We are looking for a Senior Software Engineer to build features and improvements end to end to make accelerated compute simple and accessible for everyone.
The AI/ML team is responsible for building an AI platform to manage OSS and custom models across modalities (LLMs, images, audios, videos) on top of a high-performance inference engine, to ensure the latest SOTA models are always available at peak performance. We’re a fast-paced team looking to build the next generation of AI/ML workflows on DigitalOcean.
What You’ll Be Doing:
- Own a technical area by providing technical leadership for a team
- Drive large cross-functional projects independently to completion
- Work primarily in Python, and Go to build and scale model services such as inference, fine-tuning, model benchmarks and evaluations
- Maintain and develop APIs and SDKs
- Collaborate on design and UX
- Build and scale products to achieve operational excellence
- Independently ship product features from planning to launch to maintenance with high autonomy
- Collaborate with other engineers to find elegant architectures and solutions
What You’ll Add to DigitalOcean:
- Own a technical area by providing technical leadership for a team
- Experience with ML platforms, AI techniques (e.g., LLMs, multimodal, large vision models) or with genAI-related concepts (e.g., evaluations, language modeling, computer vision)
- Able to make effective trade-offs in regards to both engineering and product requirements, while balancing short term and long term needs
- 8+ years relevant industry experience in a fast-paced, high growth tech environment building and scaling production-grade systems
- Demonstrated design and UX sensibilities, especially for technical teams
- Knowledge of API standards including REST, Python, or Go
Compensation Range:
- $167,200 - $209,000
*This is a remote role
JR: 2026-7446
#LI-Remote
#LI-SK1
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Ready to apply?
Apply to DigitalOcean
Senior Software Engineer II - AI/ML
Share this job
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
We are looking for a Senior Software Engineer to build features and improvements end to end to make accelerated compute simple and accessible for everyone.
The AI/ML team is responsible for building an AI platform to manage OSS and custom models across modalities (LLMs, images, audios, videos) on top of a high-performance inference engine, to ensure the latest SOTA models are always available at peak performance. We’re a fast-paced team looking to build the next generation of AI/ML workflows on DigitalOcean.
What You’ll Be Doing:
- Own a technical area by providing technical leadership for a team
- Drive large cross-functional projects independently to completion
- Work primarily in Python, and Go to build and scale model services such as inference, fine-tuning, model benchmarks and evaluations
- Maintain and develop APIs and SDKs
- Collaborate on design and UX
- Build and scale products to achieve operational excellence
- Independently ship product features from planning to launch to maintenance with high autonomy
- Collaborate with other engineers to find elegant architectures and solutions
What You’ll Add to DigitalOcean:
- Own a technical area by providing technical leadership for a team
- Experience with ML platforms, AI techniques (e.g., LLMs, multimodal, large vision models) or with genAI-related concepts (e.g., evaluations, language modeling, computer vision)
- Able to make effective trade-offs in regards to both engineering and product requirements, while balancing short term and long term needs
- 8+ years relevant industry experience in a fast-paced, high growth tech environment building and scaling production-grade systems
- Demonstrated design and UX sensibilities, especially for technical teams
- Knowledge of API standards including REST, Python, or Go
Compensation Range:
- $167,200 - $209,000
*This is a hybrid role
JR: 2026-7446
#LI-Hybrid
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Ready to apply?
Apply to DigitalOcean
Senior Software Engineer II - AI/ML
Share this job
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
We are looking for a Senior Software Engineer to build features and improvements end to end to make accelerated compute simple and accessible for everyone.
The AI/ML team is responsible for building an AI platform to manage OSS and custom models across modalities (LLMs, images, audios, videos) on top of a high-performance inference engine, to ensure the latest SOTA models are always available at peak performance. We’re a fast-paced team looking to build the next generation of AI/ML workflows on DigitalOcean.
What You’ll Be Doing:
- Own a technical area by providing technical leadership for a team
- Drive large cross-functional projects independently to completion
- Work primarily in Python, and Go to build and scale model services such as inference, fine-tuning, model benchmarks and evaluations
- Maintain and develop APIs and SDKs
- Collaborate on design and UX
- Build and scale products to achieve operational excellence
- Independently ship product features from planning to launch to maintenance with high autonomy
- Collaborate with other engineers to find elegant architectures and solutions
What You’ll Add to DigitalOcean:
- Own a technical area by providing technical leadership for a team
- Experience with ML platforms, AI techniques (e.g., LLMs, multimodal, large vision models) or with genAI-related concepts (e.g., evaluations, language modeling, computer vision)
- Able to make effective trade-offs in regards to both engineering and product requirements, while balancing short term and long term needs
- 8+ years relevant industry experience in a fast-paced, high growth tech environment building and scaling production-grade systems
- Demonstrated design and UX sensibilities, especially for technical teams
- Knowledge of API standards including REST, Python, or Go
Compensation Range:
- $167,200 - $209,000
*This is a remote role
JR: 2026-7446
#LI-Remote
#LI-SK1
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Ready to apply?
Apply to DigitalOcean
Senior Software Engineer II - AI/ML
Share this job
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
We are looking for a Senior Software Engineer to build features and improvements end to end to make accelerated compute simple and accessible for everyone.
The AI/ML team is responsible for building an AI platform to manage OSS and custom models across modalities (LLMs, images, audios, videos) on top of a high-performance inference engine, to ensure the latest SOTA models are always available at peak performance. We’re a fast-paced team looking to build the next generation of AI/ML workflows on DigitalOcean.
What You’ll Be Doing:
- Own a technical area by providing technical leadership for a team
- Drive large cross-functional projects independently to completion
- Work primarily in Python, and Go to build and scale model services such as inference, fine-tuning, model benchmarks and evaluations
- Maintain and develop APIs and SDKs
- Collaborate on design and UX
- Build and scale products to achieve operational excellence
- Independently ship product features from planning to launch to maintenance with high autonomy
- Collaborate with other engineers to find elegant architectures and solutions
What You’ll Add to DigitalOcean:
- Own a technical area by providing technical leadership for a team
- Experience with ML platforms, AI techniques (e.g., LLMs, multimodal, large vision models) or with genAI-related concepts (e.g., evaluations, language modeling, computer vision)
- Able to make effective trade-offs in regards to both engineering and product requirements, while balancing short term and long term needs
- 8+ years relevant industry experience in a fast-paced, high growth tech environment building and scaling production-grade systems
- Demonstrated design and UX sensibilities, especially for technical teams
- Knowledge of API standards including REST, Python, or Go
Compensation Range:
- $167,200 - $209,000
*This is a remote role
JR: 2026-7446
#LI-Remote
#LI-SK1
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Ready to apply?
Apply to DigitalOcean
Principal Software Engineer (Gradient AI)
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Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
Scope and mission:
- Drive the design and operation of Gradient AI platform, focusing on delivering a simple and innovative agent development experience with best of breed scale, performance, and predictability.
- Drive architectural vision, technical excellence, and innovation across both backend systems and customer-facing interactions.
Key Responsibilities:
- Architect and Build
- Design and evolve the architecture for our agent development experience including code integration, evaluations, observability, tools, and cross-agent interactions.
- Drive initiatives to deliver an architecture optimized for scalability, reliability, low-latency, and cost efficiency.
- Manage and evolve our benchmarking system to continuously raise the bar on our experience.
- Roll out new services by taking on a hands-on lead role as required to ensure timely delivery.
- Technical Leadership
- Establish and enforce technical standards, coding practices, tooling, and infrastructure guidelines across the AI/ML engineering teams.
- Establish best practices for design, testing, deployments, instrumentation, and performance tuning.
- Mentor other senior engineers, shaping the team’s culture of architectural rigor and operational excellence.
- Cross-functional Collaboration
- Work with product managers, stakeholders, and business leaders to translate strategic objectives into scalable technical roadmaps.
- Guide customer-facing teams (e.g., consultants, support, sales engineers) to shape AI modernization initiatives via agents.
- Reliability, Performance & Scaling
- Lead Operations Excellence for our Agent development platform, establish mechanisms and processes that scale to the engineering organization while raising the bar.
- Oversee availability, performance tuning, failover strategies, capacity planning, and disaster recovery.
- Drive AI-driven automation (e.g., IaC, CI/CD pipelines, deployments, monitoring) to optimize operations
- Innovation & Future Roadmapping
- Drive development of internal tooling leveraging agents across the company, contributing towards increased efficiency and quality across all aspects of engineering.
- Serve as subject matter expert on new agent development paradigms and lead implementation of mechanisms to productize them.
Qualifications:
- Domain Expertise: Hands-on experience designing and operating production-grade AI/ML platforms using the latest GenAI and Agent-development technologies.
- Technical Experience: 10+ years in designing and building applications on the cloud with 5+ years experience in AI/ML platforms
- Leadership & Collaboration: Prior experience as a technical visionary in large-scale, mission-critical projects; ability to align technology strategy with business impact.
- Operational excellence: Expertise in driving operational excellence via automation and best practices.
- Communication & Mentoring: Strong written and verbal communication skills with a track record of mentoring senior and junior engineers; translating complex concepts across engineering and business teams.
Compensation Range:
- $227,040 - $283,800
*This is a remote role
#LI-Remote
#LI-SK1
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Ready to apply?
Apply to DigitalOcean
VP, Platform Engineering
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Space is a warfighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it.
OUR MISSION
True Anomaly delivers decisive capabilities for space superiority. We build autonomous spacecraft, advanced payloads, mission software, and space-based interceptors — enabling the U.S. and its Allies to secure the space environment and counter threats from the ultimate high ground.
OUR VALUES
- Be the offset. We create asymmetric advantages with creativity and ingenuity.
- What would it take? We challenge assumptions to deliver ambitious results.
- It’s the people. Our team is our competitive advantage and we are better together.
YOUR MISSION
True Anomaly is building a new Platform Engineering organization to own the compute infrastructure that powers everything we do, from autonomous spacecraft to classified command-and-control software. As VP of Platform Engineering, you will build this organization from day one. You will hire and lead teams across AI engineering, data engineering, infrastructure engineering, and IT. You will set the technical vision for how the company builds, deploys, and operates across commercial, CUI, and classified environments. The platforms your team creates will serve every program in the company and position True Anomaly to offer accredited compute as a strategic capability in the defense market. This role has direct impact on the company’s ability to scale.
RESPONSIBILITIES
- Build and lead the Platform Engineering organization from the ground up: hiring managers, setting technical direction, and scaling a team to 24+ in 2026 with significant continued growth as the company expands its program portfolio and prime capabilities
- Own the company’s compute infrastructure platform strategy across commercial, CUI, and classified environments, including cloud, containers, networking, and CI/CD
- Define and deliver the technical architecture for DoD Impact Level 5 and IL-6 accredited compute environments, replacing subcontractor dependency with a reusable, internally owned platform
- Drive AI enablement infrastructure as the company’s top strategic priority, including the AI platform, data infrastructure, and enterprise AI tooling that the rest of the company depends on
- Lead the Systems Working Group: technology evaluation, approval, and standardization across the company, backed by the engineering capacity to drive outcomes
- Partner with engineering leadership, program teams, and government customers to ensure infrastructure scales with the contract pipeline and positions True Anomaly to offer accredited compute as a prime capability
QUALIFICATIONS
- 12+ years of experience in infrastructure, platform, or systems engineering, with 5+ years leading engineering organizations of 15+ people across multiple technical disciplines
- Hands-on expertise in cloud infrastructure (AWS, Azure, or GovCloud variants), Kubernetes, container orchestration, networking, and CI/CD at scale
- Direct experience building and operating DoD Impact Level 5 or higher accredited environments, with working knowledge of NIST 800-53, STIGs, RMF, and the ATO process
- Track record of building engineering organizations from scratch in high-growth environments: recruiting teams, establishing culture, and delivering platforms that other teams depend on
- Experience managing teams that operate across classification levels with mixed clearance requirements
- Strong executive communication skills and the ability to represent infrastructure strategy to government customers, program leadership, and C-suite stakeholders
PREFERRED SKILLS AND EXPERIENCE
- Experience in aerospace, defense, or national security technology companies
- Background spanning multiple infrastructure disciplines: AI/ML platforms, data engineering, networking, and SRE/DevOps
- Experience with multi-cloud and hybrid architectures including on-premises, GovCloud, and customer-deployed or disconnected environments
- Prior experience at a high-growth startup (Series B through IPO) building infrastructure that scales with rapid headcount and contract growth
- Familiarity with platform engineering “paved roads” operating models that balance standardization with engineering team autonomy
- Active U.S. Top Secret or TS/SCI clearance
COMPENSATION
- Base Salary: $185,000 - $350,000
- Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave
Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education and experience.
ADDITIONAL REQUIREMENTS
- Active U.S. Top Secret clearance required; SCI eligibility required and must be obtainable
- Work Location: this role will be fully onsite at our facilities in Centennial, CO or Long Beach, CA
- Work environment is in a standard office, working at a desk or in a production factory.
This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Onsite
To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.
True Anomaly is committed to equal employment opportunity on any basis protected by applicable state and federal laws. If you have a disability or additional need that requires accommodation, please do not hesitate to let us.
Ready to apply?
Apply to True AnomalySenior Autonomy Engineer
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Space is a warfighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it.
OUR MISSION
True Anomaly delivers decisive capabilities for space superiority. We build autonomous spacecraft, advanced payloads, mission software, and space-based interceptors — enabling the U.S. and its Allies to secure the space environment and counter threats from the ultimate high ground.
OUR VALUES
- Be the offset. We create asymmetric advantages with creativity and ingenuity.
- What would it take? We challenge assumptions to deliver ambitious results.
- It’s the people. Our team is our competitive advantage and we are better together.
YOUR MISSION
As a member of the Applied Algorithms and Autonomy team, you will design, build, and deploy core autonomy capabilities for True Anomaly. You will work with a talented cross-functional team to advance technology at the intersection of artificial intelligence, machine learning, and classical optimization. This will involve hands-on development across various areas including vehicle autonomy, mission planning, wargaming, threat assessment, and uncooperative RPO capabilities. You are a first principles engineer who takes ownership of the systems you build and delivers results.
RESPONSIBILITIES
- Design, implement, and test algorithms that enable autonomous mission planning, tasking, and decision-making
- Contribute to autonomy architecture discussions and implement robust solutions informed by statistical analysis, software testing, and hardware-in-the-loop simulation
- Collaborate with cross-functional teams to translate requirements and stakeholder expectations into production-ready autonomy solutions
- Debug and tune autonomy systems through integration, testing, and deployment in real-world operational environments
- Write clean, well-documented, and testable code in support of autonomy capabilities
QUALIFICATIONS
- Bachelor's degree in computer science, robotics, aerospace engineering, electrical engineering, or a similar discipline
- Proficient in C/C++ and Python
- Strong understanding of at least one of technologies within the four pillars:
- Adversarial planning: classical game theory, self-play, counterfactual regret minimization, Monte Carlo tree search, behavior trees, etc.
- Classical optimization: MPC, trajectory optimization, dynamic programming, stochastic control, mixed integer programming, quadratic programming, etc.
- ML/AI: reinforcement learning, imitation learning, transformer architectures, anomaly detection, classification/regression, behavior modeling, etc.
- Multi-Agent Control: multi-agent coordination, consensus algorithms, networked control systems, communication-aware planning, fault detection & isolation
- Solid foundation in statistics, optimization, and decision-making under uncertainty
- 4+ years of experience implementing algorithms to support autonomous planning and decision-making deployed in real-world systems
- Demonstrated ability to work in a multidisciplinary team and solve complex problems with first principles approaches
- Passion for spaceflight and advancing capabilities related to space domain awareness and space security
PREFERRED SKILLS AND EXPERIENCE
- Master's or PhD in computer science, robotics, aerospace engineering, electrical engineering, or a similar discipline
- Experience writing high-reliability, production C/C++ code
- Experience with edge computing and real-time processing constraints
- Experience with space systems (orbital mechanics, GNC, spacecraft operations)
- Familiarity with probabilistic reasoning, state estimation (EKF/UKF, particle filters), and planning under uncertainty
- Background in verification/validation of autonomous systems for certification or operational deployment
- A understanding of how game theory, optimization and AI can be fused together.
COMPENSATION
- Base Salary: $170,000 - $290,000
- Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave
Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, location, and experience.
ADDITIONAL REQUIREMENTS
- Work Location—This is a fully onsite role. Candidates must be based in or able to commute to our Denver or Long Beach office daily.
- Work environment—the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job.
- Physical demands—the physical demands of the job, including bending, sitting, lifting and driving.
This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Onsite
To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.
True Anomaly is committed to equal employment opportunity on any basis protected by applicable state and federal laws. If you have a disability or additional need that requires accommodation, please do not hesitate to let us.
Ready to apply?
Apply to True AnomalyPrincipal Autonomy Engineer
Share this job
Space is a warfighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it.
OUR MISSION
True Anomaly delivers decisive capabilities for space superiority. We build autonomous spacecraft, advanced payloads, mission software, and space-based interceptors — enabling the U.S. and its Allies to secure the space environment and counter threats from the ultimate high ground.
OUR VALUES
- Be the offset. We create asymmetric advantages with creativity and ingenuity.
- What would it take? We challenge assumptions to deliver ambitious results.
- It’s the people. Our team is our competitive advantage and we are better together.
YOUR MISSION
As a key member of the Applied Algorithms and Autonomy team, you will be responsible for developing and implementing True Anomaly’s autonomy roadmap. You will work with a talented cross-functional team to advance cutting-edge technology at the intersection of artificial intelligence, machine learning and classical optimization. This will involve executing across various areas including vehicle autonomy, mission planning, wargaming, threat implication and uncooperative RPO capabilities. You are a first principles engineer and will have ownership of the future of autonomy at True Anomaly.
RESPONSIBILITIES
- Build the roadmap for integrating increased autonomy capability into the next generation of Jackal spacecraft and Mosaic ground software
- Collaborate with cross-functional teams to translate requirements and stakeholder expectations into actionable strategies for autonomy implementation
- Drive the autonomy architecture and design, implement, and verify robust algorithms that enable autonomous spacecraft planning, tasking, and decision-making
- Test and verify your algorithms via statistical analysis, software testing, and hardware in the loop simulation
QUALIFICATIONS
- Bachelor’s degree in computer science, robotics, or a similar discipline
- Proficient in C/C++ and Python
- Strong understanding of statistics, optimization, and reasoning under uncertainty
- 8+ years of experience with implementing algorithms for autonomous planning and decision-making deployed in real-world systems
- Demonstrated ability to work in a multidisciplinary team and solve complex problems with first principles approaches
- Passion for spaceflight and advancing capabilities related to space domain awareness and space security
- Track record of solving complex problems in autonomy in a fast-moving team
PREFERRED SKILLS AND EXPERIENCE
- Master’s or PhD in computer science, robotics, or a similar discipline
- 4+ years of professional experience writing high-reliability, production C/C++ code
- Experience with edge computing and real-time processing constraints
- Deep technical expertise in one or more of the following: convex optimization, dynamic programming, search algorithms, reinforcement learning, decision theory
COMPENSATION
- Base Salary: $230,000 - $390,000
- Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave
Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, location, and experience.
ADDITIONAL REQUIREMENTS
- Work Location—This is a fully onsite role. Candidates must be based in or able to commute to our Denver or Long Beach office daily.
- Work environment—the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job.
- Physical demands—the physical demands of the job, including bending, sitting, lifting and driving.
This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Onsite
To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.
True Anomaly is committed to equal employment opportunity on any basis protected by applicable state and federal laws. If you have a disability or additional need that requires accommodation, please do not hesitate to let us.
Ready to apply?
Apply to True AnomalyAutonomy Engineer
Share this job
Space is a warfighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it.
OUR MISSION
True Anomaly delivers decisive capabilities for space superiority. We build autonomous spacecraft, advanced payloads, mission software, and space-based interceptors — enabling the U.S. and its Allies to secure the space environment and counter threats from the ultimate high ground.
OUR VALUES
- Be the offset. We create asymmetric advantages with creativity and ingenuity.
- What would it take? We challenge assumptions to deliver ambitious results.
- It’s the people. Our team is our competitive advantage and we are better together.
YOUR MISSION
As a key member of the Applied Algorithms and Autonomy team, you will be responsible for developing and implementing True Anomaly’s autonomy roadmap. You will work with a talented cross-functional team to advance cutting-edge technology at the intersection of artificial intelligence, machine learning and classical optimization. This will involve executing across various areas including vehicle autonomy, mission planning, wargaming, threat implication and uncooperative RPO capabilities. You are a first principles engineer and will have ownership of the future of autonomy at True Anomaly.
RESPONSIBILITIES
- Design and develop advanced AI, optimization, and machine learning infrastructure to support the company's autonomous systems
- Research, develop, and implement, game-changing AI and optimization algorithms with the reliability and robustness required for space deployment
- Collaborate with leadership to define and roadmap future autonomy capabilities aligned with company strategic objectives
QUALIFICATIONS
- Bachelor’s degree in computer science, robotics, aerospace or a similar discipline
- Proficient in C/C++ and Python
- Strong understanding of statistics, optimization, and reasoning under uncertainty
- 2+ years of experience with implementing algorithms for autonomous planning and decision-making deployed in real-world systems
- Demonstrated ability to work in a multidisciplinary team and solve complex problems with first principles approaches
- Passion for spaceflight and advancing capabilities related to space domain awareness and space security
- Track record of solving complex problems in autonomy in a fast-moving team
- U.S. Citizen and eligible for DoD Secret or TS/SCI clearance
PREFERRED SKILLS AND EXPERIENCE
- Master’s or PhD in computer science, robotics, aerospace or a similar discipline
- 2+ years of professional experience writing high-reliability, production C/C++ code
- Experience with edge computing and real-time processing constraints
- Background in Aerospace and Orbital Mechanics
- Deep technical expertise in one or more of the following: convex optimization, dynamic programming, search algorithms, reinforcement learning, decision theory
COMPENSATION
- Base Salary: $95,000 - $175,000
- Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave
Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, location, and experience.
ADDITIONAL REQUIREMENTS
- Work Location— this is a fully onsite role. Candidates must be based in or able to commute to our Denver or Long Beach office daily.
- Work environment—the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job.
- Physical demands—the physical demands of the job, including bending, sitting, lifting and driving.
This position will be open until it is successfully filled. To submit your application, please follow the directions below.
#LI-Onsite
To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.
True Anomaly is committed to equal employment opportunity on any basis protected by applicable state and federal laws. If you have a disability or additional need that requires accommodation, please do not hesitate to let us.
Ready to apply?
Apply to True AnomalySenior Compliance Engineer, AI Governance
Share this job
Space is a warfighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it.
OUR MISSION
True Anomaly delivers decisive capabilities for space superiority. We build autonomous spacecraft, advanced payloads, mission software, and space-based interceptors — enabling the U.S. and its Allies to secure the space environment and counter threats from the ultimate high ground.
OUR VALUES
- Be the offset. We create asymmetric advantages with creativity and ingenuity.
- What would it take? We challenge assumptions to deliver ambitious results.
- It’s the people. Our team is our competitive advantage and we are better together.
Your Mission
We are seeking a rare combination of disciplines: an experienced Sr. Compliance Engineer with deep AI Subject Matter Expertise (SME) and export compliance background to join our Governance, Risk, and Compliance (GRC) team. This role is responsible for building, implementing, and sustaining the organizational compliance posture across key regulatory and security frameworks — with a primary emphasis on RMF (NIST 800-53 Rev. 5 + Classified Overlays), CMMC Level 3, NIST 800-171 Rev. 3, EAR/ITAR cyber regulations, and — critically - the governance, risk management, and compliance controls surrounding AI/ML systems and large language models (LLMs) deployed across the enterprise.
As AI becomes embedded in True Anomaly's operations, mission systems, and products, this role serves as the organizational authority on how AI capabilities are adopted, audited, and controlled responsibly. You will architect and operationalize compliance checkpoints and governance gates within LLM pipelines, evaluate AI vendors and platforms (including OpenAI, Anthropic Claude, and others) against classified and unclassified compliance requirements, and ensure AI-driven workflows satisfy both regulatory obligations and internal risk tolerance.
The ideal candidate brings deep GRC knowledge, hands-on AI/LLM engineering fluency, and the ability to engage credibly with compliance assessors, government partners, and internal AI/ML engineering teams alike.
Responsibilities
Compliance Program Execution
- Lead and support compliance assessment readiness across key organizational frameworks including NIST SP 800-171 Rev. 2 and 3, CMMC Level 3, NIST SP 800-53 Rev. 5, and the NIST Cybersecurity Framework (CSF).
- Provide direction on cybersecurity readiness to address EAR and ITAR-related controls and requirements.
- Drive CMMC readiness activities across the organization, including scoping, gap analysis, control implementation validation, evidence collection, and pre-assessment preparation.
- Review, maintain, and mature System Security Plans (SSPs) to accurately reflect organizational control implementations, system boundaries, and operational practices — including AI/ML system boundaries and data flows.
- Manage Plans of Actions and Milestones (POA&Ms), tracking open findings to resolution, communicating status to GRC leadership, and coordinating remediation efforts across responsible teams.
- Conduct internal compliance audits and control effectiveness reviews to ensure ongoing adherence to applicable frameworks and to surface emerging gaps before external assessments.
- Maintain audit-ready evidence repositories and documentation packages, ensuring traceability between controls, evidence, and framework requirements.
AI Governance, Risk & Compliance (AI-GRC)
- Serve as the organizational AI compliance SME — the primary authority on how AI/LLM systems (including OpenAI GPT models, Anthropic Claude, open-source models, and internally developed models) are evaluated, onboarded, and continuously governed within True Anomaly's compliance boundaries.
- Design, implement, and maintain compliance checkpoints and enforcement gates within LLM pipelines, including:
- Input/output filtering and content policy enforcement layers
- Prompt injection detection and mitigation controls
- Data classification guardrails to prevent CUI, ITAR-controlled, or classified data from flowing into non-authorized AI systems or endpoints
- Automated audit logging of AI interactions for traceability and incident investigation
- Model access control and role-based permissions within AI platforms
- Conduct AI-specific risk assessments, including evaluation of AI vendor data handling practices, model training data provenance, and third-party AI API security postures against NIST AI RMF, NIST SP 800-53 AI overlays, and internal standards.
- Develop and enforce an AI System Acceptable Use Policy and supporting standards that govern how employees and systems interact with LLMs, including permissible data inputs, output handling, human-in-the-loop requirements, and escalation procedures.
- Evaluate proposed AI/ML use cases for regulatory risk (EAR/ITAR, CMMC, data privacy) and provide compliance go/no-go determinations with documented rationale.
- Collaborate with AI/ML engineers and DevSecOps teams to integrate compliance gates into CI/CD pipelines and MLOps workflows, ensuring model changes and prompt changes undergo review before production deployment.
- Maintain an AI system inventory, tracking all deployed models, APIs, integrations, and associated risk and compliance status.
- Monitor emerging AI regulatory developments (e.g., EO 14110, NIST AI RMF, DoD AI Ethics Principles, EU AI Act implications for U.S. defense partners) and assess organizational impact.
Cross-Functional Compliance Enablement
- Serve as a primary GRC team resource for compliance questions, control guidance, and framework interpretation across engineering, IT, operations, legal, and security teams.
- Partner with IT and security operations teams to verify that technical controls — including access management, logging, configuration baselines, and incident response procedures — meet CMMC and NIST requirements at an organizational level.
- Partner with AI/ML engineers, data scientists, and product teams to embed compliance thinking into AI system design, model selection, and deployment architecture.
- Collaborate with the Enterprise Risk Manager and broader GRC leadership to ensure compliance findings — including AI-specific risks — are reflected in the enterprise risk register and remediation priorities.
- Support the development of compliance training and awareness materials, including AI-specific training that builds organizational understanding of responsible AI use, LLM risk, and CMMC obligations.
- Coordinate with external assessors, third-party auditors, and government partners during assessment engagements, serving as a knowledgeable point of contact for evidence walkthroughs and control discussions.
Qualifications
- 7+ years of experience in IT security compliance, GRC, or a closely related discipline, with direct ownership of compliance program activities.
- Demonstrated expertise in NIST SP 800-171, CMMC (Level 2 or 3), and NIST SP 800-53, with hands-on experience conducting gap assessments, implementing controls, and preparing organizations for external audits.
- Extensive, hands-on experience with AI/LLM systems, including practical knowledge of platforms such as OpenAI (GPT-4/o-series), Anthropic Claude, Meta Llama, Microsoft Azure OpenAI Service, and/or comparable commercial and open-source LLM ecosystems.
- Demonstrated ability to design, implement, and operationalize compliance controls within LLM pipelines, including guardrail layers, content filtering, audit logging hooks, and data classification enforcement.
- Working knowledge of AI security risks, including prompt injection, jailbreaking, data exfiltration via LLM outputs, model inversion, and supply chain risks associated with third-party AI APIs.
- Familiarity with NIST AI Risk Management Framework (AI RMF) and its application to enterprise and defense AI deployments.
- Strong understanding of SSP development and maintenance, POA&M management, and audit evidence lifecycle practices in an organizational (non-product) compliance context.
- Proven experience developing and operationalizing information security policies, standards, and procedures across a multi-disciplinary organization.
- Strong communication skills with the ability to explain compliance requirements — including AI risk concepts — clearly to both technical practitioners and non-technical business stakeholders.
- Highly organized, with demonstrated ability to manage multiple concurrent compliance workstreams and deadlines in a fast-paced environment.
- Active or ability to obtain SECRET or TS/SCI security clearance.
- Must be a U.S. citizen, lawful permanent resident, or protected individual per ITAR requirements (8 U.S.C. 1324b(a)(3)).
Preferred Qualifications
- Strong EAR/ITAR background as it pertains to cybersecurity, AI-generated outputs, and policy development.
- J.D. focusing on technology law, export compliance (EAR and ITAR), AI regulation, or cyber law.
- Experience building MLOps or AI DevSecOps pipelines with integrated compliance gates, including automated policy enforcement, prompt review workflows, or model change management processes.
- Hands-on experience with AI safety and alignment tooling (e.g., LangChain guardrails, NeMo Guardrails, Azure Content Safety, OpenAI Moderation API, Anthropic Constitutional AI/policy layer configurations).
- Experience evaluating AI vendor agreements and data processing agreements against DoD/CMMC/ITAR data handling requirements.
- Familiarity with DoD AI Ethics Principles, Responsible AI (RAI) frameworks, and emerging federal AI governance requirements (e.g., EO 14110, OMB AI guidance).
- Industry certifications such as:
- Certified Information Systems Auditor (CISA)
- Certified in Risk and Information Systems Control (CRISC)
- Certified Information Systems Security Professional (CISSP)
- CMMC Registered Practitioner (RP) or Certified Professional (CP)
- CompTIA Security+ or equivalent
- AWS/Azure AI or Security certifications
- Background in startup, aerospace, defense technology, or SaaS environments operating under DoD compliance obligations.
- Familiarity with cloud environments — particularly Azure Government, AWS GovCloud, or Azure OpenAI Government deployments — as they relate to organizational control implementation and AI boundary scoping.
- Experience coordinating with C/3PAOs or supporting CMMC assessments.
- Working knowledge of DFARS 252.204-7012, ITAR, and supply chain compliance obligations.
- Familiarity with Agile/Scrum environments and hybrid project delivery models.
Compensation
- Base Salary: Denver - $145,000 to $195,000, Long Beach - $150,000 to $205,000, Washington, DC - $150,000 to $205,000
- Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave
Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, location, and experience.
Additional Requirements
- Work Location: Successful candidates will be located near Denver, CO, Long Beach, CA, or Washington D.C. While we observe a hybrid work environment, some work must be done on site. #LI-Onsite
- Work Environment: Standard office setting, working at a desk or in a production factory environment.
- Physical Demands: May include frequent standing, sitting, walking, bending, and lifting or carrying items up to 20 lbs.
This position will be open until it is successfully filled.
To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.
We value diversity of experience, knowledge, backgrounds, and perspectives and harness these qualities to create extraordinary impact. True Anomaly is committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, maternity or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.
To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.
True Anomaly is committed to equal employment opportunity on any basis protected by applicable state and federal laws. If you have a disability or additional need that requires accommodation, please do not hesitate to let us.
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Senior Software Engineer
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This Is the Place to Be:
Connecting Futures Now! DHI Group, Inc. is the parent company of career marketplaces, Dice and ClearanceJobs. We connect candidates with career advice, resources and ultimately a dream job. At DHI, creating a workplace that celebrates diversity and promotes inclusivity is embedded in the culture and values of our organization. This is the place to be and we want you here with us.
You Belong Here:
Join a mission-driven company that prioritizes you. We are a supportive team that embodies our “One Team” value as we work together and win together. Voted as a certified Great Place to Work®, our team members feel their opinions count and are cared for by DHI. 92% of employees say DHI is a Great Place to Work – 35% higher than the average U.S. company. DHI’s culture of inclusivity is anchored by four pillars: diversity training, inclusive hiring practices, volunteering, and employee resource groups. You belong here!
About the Team
At Dice, we believe that delivering an exceptional candidate experience — the end-to-end journey a job seeker takes to discover, evaluate, and land their next role — is essential to the success of our platform. This team plays a critical role in building the next generation of that experience, contributing across a modern full-stack environment. We value engineers who are curious, collaborative, and committed to making an impact for thousands of job seekers.
We are an AI-native team. We actively use AI coding assistants (e.g., Claude Code, Codex, Gemini CLI) to accelerate development, sharpen code quality, and focus our energy on higher-impact engineering work.
About the Role
As a Senior Software Engineer at Dice, you’ll contribute to the design, development, and delivery of high-impact product features in a modern, cloud-native stack. As a senior engineer you’ll be expected to provide technical leadership within the team by driving architectural decisions, mentoring teammates, and helping maintain a high standard of quality and maintainability. You’ll collaborate cross-functionally with Product, Design, and Data partners to align on outcomes and advocate for sound technical solutions.
Being AI-native is central to how we work. We expect engineers in this role to go beyond using AI as a simple chat assistant, embracing tools like Claude Code as core parts of the development workflow to increase productivity such as automating repetitive tasks by generating skills and leveraging subagents, and apply best practices through prompt engineering to get the most out of the AI tools we use at every stage of the software lifecycle.
Why We’re Hiring for This Role
As we scale and modernize our platform, we’re looking for experienced senior engineers who can take ownership of complex systems, communicate effectively with stakeholders, deploy AI-powered features, and contribute to product and architectural decisions. This role is ideal for someone who enjoys working across the stack, solving real user problems, working with AI, and influencing both code and culture.
In the Short Term, You Will:
Ramp Up on Systems and Codebases
Gain familiarity with our applications, services, tools, and infrastructure. Develop an understanding of how your team’s work fits into the broader product and architecture.
Establish Technical Ownership
Take responsibility for features and systems, provide thoughtful code reviews, and contribute to team design discussions. You’ll be trusted to make solid technical decisions and defend them clearly when needed while staying open to feedback.
Collaborate and Align
Work closely with engineers, product managers, designers, and stakeholders to align on priorities and deliver incremental value. Help improve the team's planning and execution rhythm.
In the Long Term, You Will:
Drive Technical Excellence
Help evolve our systems through well-designed, scalable AI architecture. Reduce tech debt, improve performance, and contribute to shared engineering standards.
Mentor and Elevate the Team
The Senior Software Engineer at Dice plays a key role in mentoring peers, reviewing designs, and helping grow the technical capabilities of those around you.
Deliver Meaningful Business Impact
Own end-to-end delivery of AI-powered product features that support business goals and enhance user experience. Influence the roadmap by advocating for technical investments that align with long-term value.
What You Bring to the Team:
- Proven experience building and deploying production-grade applications with a track record of delivering value through practical, maintainable solutions
- Strong technical skills and experience in cloud-based technologies
- Track record of development and deployment of ML and AI features into a Production environment.
- Ability to navigate ambiguity, make sound decisions, and adapt to changing priorities
- A collaborative, team-first mindset — you know the best outcomes come from working well together, and you actively contribute to a supportive, inclusive team environment
- Technical depth and experience that allows you to lead design discussions, break down complex tasks into meaningful deliverables, and ensure a high standard of engineering quality
- A sense of urgency, accountability, and ownership, you take pride in your work and team achievements.
- Strong communication, problem-solving, and collaboration skills, with the confidence to advocate for ideas while being open to alternative perspectives
Required:
- Proven experience building and maintaining business-critical applications using Node.js and TypeScript in a production setting
- Hands-on experience developing scalable, maintainable RESTful and GraphQL services in production environments
- Working knowledge of container-based technologies (Docker, Fargate, Kubernetes, or other)
- Experience with front-end frameworks such as NextJS, React, or Angular
- Demonstrated experience building highly available applications on AWS infrastructure
- Experience implementing and working with CI/CD pipelines to support automated testing and deployments
- Ability to apply quality best practices and implement automated testing using tools such as Playwright
- Solid understanding of architectural patterns (event-driven, serverless, SOA, and others)
- Practical understanding of how to implement traditional Machine Learning models and LLMs in production, including knowledge of model selection criteria and architectural trade-offs
- Hands-on experience deploying LLM-powered features into production, such as simple LLM API calls, RAG (Retrieval-Augmented Generation) systems, Vector Stores, and MCP Servers
- Familiarity with AI/ML tooling such as LangChain, LangGraph, LangSmith, Vercel AI SDK, LiteLLM, or equivalent frameworks
Preferred:
- Understanding of different programming paradigms such as OOP and Functional
- Experience with highly available, highly scalable SaaS applications
- Working knowledge of logging and observability best practices
- Familiarity with DevOps principles and the ability to work closely with platform teams
- Knowledge of performance tuning, cost optimization, or scalability in a cloud-native environment
- Comfort navigating ambiguity to define and implement technical solutions
- Experience collaborating with cross-functional partners (Product, Design, Data)
- Experience designing and deploying Agentic features or autonomous AI Agents in a production environment
- Experience with LLM evaluation techniques (e.g., LLMs-as-judges), prompt engineering, and context engineering
- Familiarity with LLM guardrails and safeguards, monitoring, and observability practices for production AI systems
- Experience working as an AI-native engineer — including creating agent skill files, configuring and orchestrating subagents, or building custom AI tooling to accelerate engineering workflows
NOTE: This job description is not intended to be an all-inclusive list of the duties and responsibilities of the job described, nor are they intended to be such a listing of the skills and abilities required to do the job. Rather, they are intended only to describe the general nature of the job as of the date this job description was prepared. Management reserves the right to modify this job in order to meet business needs.
Benefits
Healthy living - medical, dental, vision, FSA, HSA, disability, life, wellness & fitness programs
Future living - 401(k) match, performance bonuses, education assistance, learning & development
Enjoy living - generous paid time off, parental leave, flexible summer hours, social & giving events
How to apply?
You can apply below. You'll just need to provide your resume and answer a few questions—it'll only take you a few minutes!
All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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AI Automation Engineer
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About Ping Identity:
At Ping Identity, we believe in making digital experiences both secure and seamless for all users, without compromise. We call this digital freedom. And it's not just something we provide our customers. It's something that inspires our company. People don't come here to join a culture that's built on digital freedom. They come to cultivate it.
Our intelligent, cloud identity platform lets people shop, work, bank, and interact wherever and however they want. Without friction. Without fear.
While protecting digital identities is at the core of our technology, protecting individual identities is at the core of our culture. We champion every identity. One of our core values, Respect Individuality, reminds us to celebrate differences so you are empowered to bring your authentic self to work.
We're headquartered in Denver, Colorado and we have offices and employees around the globe. We serve the largest, most demanding enterprises worldwide, including more than half of the Fortune 100. At Ping Identity, we're changing the way people and businesses think about cybersecurity, digital experiences, and identity and access management.
The Role
Ping Identity is seeking a technically strong, hands-on AI Automation Engineer to join the Data & AI team within the Office of the CIO. This is a builder role — you won't just configure platforms, you'll write code, design custom agent architectures, and deliver production-grade AI automation that drives measurable business impact across the enterprise.
As our second AI Automation Engineer, you'll work alongside our existing AI Automation Engineer and report to the Director of AI & Data. Where the first hire focuses on business process design and low-code/no-code delivery, you will own the programmatic side of our agent stack — building custom agents in Databricks, developing integrations and connectors, and tackling automation challenges that require real engineering depth.
This role is for someone who is equally comfortable in a Jupyter notebook and a stakeholder meeting — someone who can translate a complex business problem into a working, governed solution.
What You'll Do
- Build and deploy custom AI agents using Python and Databricks, including complex, multi-step agents that go beyond what low-code platforms can handle.
- Design and implement integrations between Glean, Databricks, and enterprise systems (Salesforce, Jira, Freshservice, etc.) — including custom connectors and data pipelines that feed our AI stack.
- Own the technical delivery of high-code agent use cases in our AI operating model — from requirements through deployment, monitoring, and iteration.
- Collaborate with the AI Automation Engineer (business-focused) to divide and conquer the agent backlog: they own the canvas/low-code layer, you own the programmatic layer.
- Partner with data engineers to ensure agents have access to clean, reliable, well-governed data via Databricks Unity Catalog and our lakehouse architecture.
- Support the agent governance process — writing technical specs, participating in governance reviews, and ensuring custom agents meet security, PII, and compliance requirements before production deployment.
- Contribute to the agent framework and tooling used by the broader AI team — prompt templates, evaluation harnesses, reusable agent components, and CI/CD pipelines for agent deployment.
- Triage and resolve technical escalations from the AI platform support queue that require engineering-level investigation.
What You'll Bring
- 3–5 years of hands-on software engineering or data engineering experience, with a track record of delivering production systems — not just prototypes.
- Proficiency in Python — you write clean, maintainable code, are comfortable working in data and AI engineering contexts, and actively use coding assistants (e.g., GitHub Copilot, Cursor, or similar) as part of your development workflow.
- Experience building on Databricks — specifically with AgentBricks and building custom agents on the Databricks platform. You know your way around notebooks, Delta Lake, and production-grade agent deployment.
- Demonstrated proficiency in building AI agents — you've designed, built, and shipped production agents (Glean canvas, LangChain, LlamaIndex, or similar), and you understand the engineering tradeoffs involved (retrieval, tool use, evaluation, latency, cost). This is a core expectation of the role, not a nice-to-have.
- Proficiency with agentic coding frameworks (e.g., DSPy, LangChain, CrewAI, or similar) — you've used these in production contexts, not just tutorials, and know how to evaluate the right tool for the job.
- Familiarity with agent tracing and monitoring concepts — you understand how to observe agent behavior in production (e.g., trace logs, token usage, latency, failure modes) and know why it matters for reliability and governance.
- API and integration experience — you can read API docs, build connectors, and wire systems together without hand-holding.
- Strong communication skills — you can explain technical architecture to non-technical stakeholders and write documentation people actually use.
- Collaborative and cross-functional — comfortable working across IT, data, and business teams in a fast-moving environment.
You Have an Advantage If
- You've played a hands-on technical role in top-down, enterprise AI transformation initiatives — where the work was tied to clear business outcomes, P&L targets, or measurable productivity gains, not just engineering deliverables.
- You have hands-on experience with Glean — building agents, configuring connectors, or working with the Glean API.
- You've built production-grade agentic workflows incorporating RAG, tool use, orchestration layers (LangGraph, CrewAI, custom), or multi-agent patterns.
- You have experience with Salesforce integrations or have built agents that take actions inside enterprise SaaS platforms.
- You're familiar with MLOps or LLMOps practices — model evaluation, prompt versioning, observability, and deployment pipelines.
- You have a background in data engineering and are comfortable with SQL, Delta tables, and Unity Catalog governance patterns.
- You've contributed to AI governance or responsible AI programs — specifically around agent safety, PII handling, and access control.
- You've worked in a B2B SaaS or enterprise software environment and understand how to build solutions that are supportable at scale.
Base Salary Range: $130,766 - $150,000
In accordance with Colorado's Equal Pay for Equal Work Act (SB 19-085), the approximate compensation range for this role in Colorado is listed above. Final compensation will be determined by various factors, such as knowledge, skills, and abilities.
Life at Ping:
We believe in and facilitate a flexible, collaborative work environment. We’re growing quickly, but remain true to the innovative, can-do startup values that got us here. Most importantly, we keep hiring talented, smart, fun, and genuinely nice people because that’s who we want to succeed with every day.
Here are just a few of the things that make Ping special:
- A company culture that empowers you to do your best work.
- Employee Resource Groups that create a sense of belonging for everyone.
- Regular company and team bonding events.
- Competitive benefits and perks.
- Global volunteering and community initiatives
Our Benefits:
- Generous PTO & Holiday Schedule
- Parental Leave
- Progressive Healthcare Options
- Retirement Programs
- Opportunity for Education Reimbursement
- Commuter Offset (Specific locations)
Ping is the collective sum of all our individual experiences, backgrounds and influences and we pride ourselves in growing and learning together. We are committed to building an inclusive and diverse environment where everyone’s individuality is respected and everyone has an Identity. In recruiting for new colleagues, we welcome the unique contributions you can bring and encourage you to be your best self.
We are an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law.
Ready to apply?
Apply to Ping Identity
Senior Data Platform Engineer
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ABOUT ROCKET MONEY 🔮
Rocket Money’s mission is to meaningfully improve the financial prosperity of millions of people. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey.
ABOUT THE TEAM 🤝
Data Platform Engineers at Rocket Money further our mission by building and maintaining the infrastructure that enables our company to understand our users and products through reliable, scalable data systems. We build the foundational platform that ingests, processes, and serves data—enabling our Data Analytics, Machine Learning, and Software Engineering teams to build data products efficiently. We work closely with engineering teams to ensure data is captured correctly at the source, design resilient pipelines, and create self-service capabilities that empower stakeholders.
The Data Platform team is in an exciting phase of growth and formalization. While we have established tools and processes in place (dbt, BigQuery, Terraform), we're actively building the comprehensive standards, practices, and systems that will scale with Rocket Money as it grows. We're looking for engineers who can take ownership and evolve workflows into reliable, well-documented, production-grade systems. This is an opportunity to shape architectural decisions, establish team practices, and define how Rocket Money works with data for years to come.
We have a strong preference for process-oriented systems thinkers who excel in balancing stakeholder requirements, technical debt, and organizational complexity—and who thrive in environments where they need to create structure from ambiguity. You'll need to be comfortable making principled decisions, taking ownership not just of code but of outcomes, and operating with significant autonomy as we build the platform together.
ABOUT THE ROLE 🤹
In this role, you will:
- Be an end-to-end owner of our data platform infrastructure, ensuring its security, usability, and performance. Work closely with analytics engineers, machine learning engineers, and software engineers to ensure the platform meets their needs.
- Make collaborative decisions about data tooling, pipeline design, and governance, and implement opinionated interfaces that facilitate easy and best-practice-aligned development for other teammates.
- Continuously improve failure rates for data sources by moving alerting “to the left”; i.e. catching and quarantining bugs/failures as close to the source as possible.
- Analyze patterns in how source data is generated, modeled, and consumed. Work with stakeholders to implement the best solution when new data sources are added.
- Take ownership of existing tools and workflows that may be functional but lack formal structure, documentation, or reliability measures. You'll assess what's working, identify gaps, and systematically improve systems to production-grade quality.
- Document everything you build knowing that you're creating the foundation others will build upon. Your runbooks, architecture decision records, and system documentation will become the institutional knowledge of our data platform.
- Proactively communicate with multiple stakeholders on platform capabilities, technical constraints, architectural decisions, project priorities, and platform support.
- Confidently juggle multiple projects and priorities in our fast-paced environment and work with stakeholders and platform teammates to ensure infrastructure changes, migrations, and improvements are delivered on schedule.
- Automate aggressively and deliberately; anything from GitHub Actions to Slack Workflows to minimize repetitive tasks. Effectively judge when the level of effort is appropriate and avoid over-engineering.
ABOUT YOU 🦄
- You have 6+ years of experience working with data infrastructure, data engineering, or platform engineering within a fast-paced environment. You are highly proficient with SQL, Python, and cloud-based Infrastructure-as-Code (e.g. Terraform), and comfortable working with bash/shell scripting.
- You have 4+ years of production experience with modern data stacks including data warehouses (BigQuery, Snowflake, or Redshift), orchestration tools, managed ingestion services, and infrastructure as code (Terraform, Pulumi, or CloudFormation).
- You have 2+ years of experience building and maintaining production data pipelines, whether through ELT tools, custom applications, streaming systems, or event-driven architectures.
- You've successfully "professionalized" data infrastructure before—taking scrappy, working systems and evolving them into reliable, well-documented, production-grade platforms. You can articulate what "production-ready" means in a data context.
- You have a bias toward action and aren't paralyzed by imperfect solutions. You understand when "good enough for now with a plan to improve" beats "perfect but six months late." You ship incrementally and iterate based on feedback.
- You're comfortable being the first person to tackle a problem. You don't need extensive mentorship or detailed tickets—you can take a high-level business need and figure out the technical approach. That said, you know when to ask for help and can articulate what you need.
- You take ownership seriously—not just of writing code, but of outcomes. When you build something, you implement monitoring, write runbooks, create alerts, and ensure it can be maintained by others. You think about the full lifecycle of systems, not just initial delivery.
- You have strong opinions, weakly held. You can make and defend architectural decisions, but you're open to feedback and willing to change course when presented with better information. You can disagree and commit.
- You understand that "building from scratch" doesn't mean rejecting existing tools—it means thoughtfully selecting, configuring, and integrating managed services and open-source solutions to create a cohesive platform. You know when to build and when to buy.
- You have experience making big changes to critical data infrastructure. You’ve successfully re-architected, migrated, or upgraded data tooling that has strict SLA’s, without significantly affecting downstream stakeholders.
Bonus points if:
- You have led a data infrastructure migration or modernization project where you defined the vision, approach, and implementation.
- You have created internal tools, frameworks, or CLIs that improved how teams work with data (not just one-off scripts).
- You have established data platform best practices like CI/CD workflows, testing frameworks, or observability standards where none existed.
- Expertise in cloud platforms and technologies analogous to our stack:
- Our stack: GCP (BigQuery, Datastream, Cloud Functions, Vertex AI, GCS), dbt, Fivetran, Postgres, Python, Terraform, Looker, Retool
- Analogous experience: AWS (Redshift, DMS, Lambda, SageMaker, S3) or Azure (Synapse, Data Factory, Functions), Snowflake, Airbyte/Stitch, infrastructure as code tools, BI platforms
WE OFFER 💫
- Health, Dental & Vision Plans
- Life Insurance
- Long/Short Term Disability
- Competitive Pay
- 401k Matching
- Team Member Stock Purchasing Program (TMSPP)
- Learning & Development Opportunities
- Tuition Reimbursement
- Unlimited PTO
- Daily Lunch, Snacks & Coffee (in-office only)
- Commuter benefits (in-office only)
Additional information: Salary range of $160,000 - $200,000 + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.
Rocket Money, Inc. is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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Apply to Rocket Money
ABOUT onX
We’re a team of builders, adventurers, and risk takers using technology to help people confidently explore the outdoors. Driven by our mission to awaken the adventurer inside everyone, we build products that optimize every outdoor experience and inspire confidence to get out and go further.
We’re a high-growth tech company. The pace is fast, the work takes grit, and ambiguity is part of the job. As the world changes around us, we adapt - continuously evolving how we build, prioritize, and deliver.
Our business moves quickly, and there’s real opportunity to shape what we build next. Each of our verticals - Hunt, Offroad, Backcountry, and Fish - is at a different stage of maturity, which means the challenges you encounter and the impact you have will vary depending on where you sit and what the business needs most.
We operate with an experimentation mindset, continually iterating and improving how we solve problems. We expect our people to use the latest tooling, including AI, thoughtfully and responsibly, pairing human judgment with technology to increase quality, speed, and impact.
Our impact comes to life through the products we build, in the stories of our customers, and in our growing commitment to land stewardship and recreational access.
ABOUT THIS OPPORTUNITY
onX is seeking a Staff Software Engineer who will contribute to meaningful, real-world outcomes that have a lasting impact for customers and the business. In this role, you’ll focus on the design, development, and scaling of our core AI/ML platforms and product-facing services as part of the AI Foundations Team, supporting the integration of cutting-edge artificial intelligence solutions across onX's product lines. You’ll take ownership of your work, collaborate closely with partners across the organization, and help move initiatives forward in an environment where priorities evolve, learning is celebrated, and you’re encouraged to keep stretching your skills. This role will report to the Director of Engineering.
WHAT YOU'LL DO
Essential Job Duties & Functions
- Work on the design, development, and deployment of large-scale AI systems and services, including models, pipelines, product experiences and infrastructure.
- Help Drive the technical strategy and roadmap for AI feature development, focusing on scalability, repeatability, reliability, and performance.
- Mentor and guide other engineers in best practices and productionizing AI technologies.
- Collaborate with Product and Data Science teams to translate business problems into technical requirements and deliver high-impact AI solutions (combining LLMs, Vector Databases, ML and other technology in novel ways to serve onX’ unique audience).
- Look for opportunities to embed AI as a repeatable mechanism in daily workflows by integrating experimentation into real work, and continuously refining its use with sound judgment and validation.
- Be a leader in AI safety, ensuring AI-enabled products are aligned with our values and mission.
- Look for opportunities to embed AI as a repeatable co-pilot in daily workflows by integrating experimentation into real work, and continuously refining its use with sound judgment and validation.
WHAT YOU’LL BRING
- Bachelor’s degree in Computer Science, Data Science, or a related technical field, or equivalent experience.
- 10+ years of professional software engineering experience, with at least 3 years focused on building and scaling production AI/ML systems, is required.
- Expertise in building scalable backend systems.
- Deep knowledge of MLOps practices, cloud infrastructure (AWS/GCP/Azure), and CI/CD pipelines for machine learning models and the common inference APIs/SDKs and frameworks.
- Experience with modern AI technologies, including Large Language Models (LLMs) and their various architectures, methods such as RAG, vector databases, and the common AI stack including TensorFlow/Keras, PyTorch, Transformers, etc.
- A strong curiosity for exploring new technologies, including AI
- A shared passion for and ability to demonstrate onX’s Company Values.
- Permanent US work authorization is a condition of employment with onX.
ADDED BONUSES
Though not required, we would be thrilled to consider candidates with any of the following:
- A history of engaging in AI development, from the early ML/NN (YOLO, Darknet) to the LLM era.
- Experience in monitoring and debugging production AI systems (inference, evals, judging, benchmarks) including cost and performance optimizations.
- Interest or experience in edge/on-device inference (MLX, JAX, transformers on TPU/NPU, etc.)
- Interest, experience or experimentation in training/fine-tuning transformer/diffusion models, dataset curation and captioning, etc.
THE ONX EXPERIENCE
onX is a distributed company with more than 400 employees across the country. We come together regularly to work in person and stay connected through regional basecamps and a culture that balances individual ownership with deep collaboration.
While we move quickly, we’re not a scrappy start-up. We operate with clear goals, structure, and frameworks that guide how we prioritize and execute. Priorities matter. While they may shift, data shapes how we evolve as our business, products, and the world around us change.
Clear priorities and structure don’t limit ownership - they make it possible. You’ll have the autonomy to define your work and make meaningful decisions within clear strategic boundaries. You’ll partner closely with others to solve complex problems and build solutions that scale across teams and platforms. Along the way, you’ll be supported with feedback, tools, and opportunities to grow your craft as you take on new challenges.
WHERE YOU CAN WORK
onX has created a thriving distributed workforce designed to foster connection, collaboration, and shared experience across several US locations. We have two HQ locations in Bozeman and Missoula, MT and established virtual workforce Basecamps in Austin, TX; Denver, CO; Kalispell, MT; Minneapolis, MN; Portland, OR; Salt Lake City, UT; and Seattle, WA.
HOW YOU’LL BE COMPENSATED
onX is committed to compensating all employees fairly and equitably for their contributions. Applicants can expect to make between $169,000 to $211,000 upon hire. The pay range will vary based on experience, skills, certifications, and education among other factors as required in the job description. In addition, full-time onX employees are eligible for a grant of common share options with a vesting schedule and a potential annual bonus of 10% based on company performance.
WHAT WE’RE OFFERING YOU
- Competitive salaries, annual bonuses, equity, and opportunities for growth
- Comprehensive health benefits, including a no-monthly-cost medical plan
- Paid parental leave of 13 weeks for birthing parents and 5 weeks for non-birthing parents
- 401k matching at 100% for the first 3% you save and 50% from 3-5%
- Company-wide outdoor adventures and amazing outdoor industry perks
- Annual “Get Out, Get Active” funds to fuel your active lifestyle
- Flexible time away package that includes PTO, STO, VTO, and paid holidays
PERFORMANCE ESSENTIALS
In this role, success is driven by cognitive abilities such as concentration and problem-solving, essential for our computer-centric tasks. onX will explore reasonable accommodations to ensure that individuals with diverse abilities can fully engage in and contribute to the essential physical and mental functions of the job. If you need assistance or accommodation, please contact us at PC@onxmaps.com.
Application Deadline is [day of week], [month] [day] at [0:00 pm] MST
Position open until filled.
#LI-Remote
At onX, we believe that unique perspectives make us stronger. By bringing together people with different experiences, ideas, and viewpoints, we fuel innovation and move closer to our mission of awakening the adventurer in everyone. We are proud to be an equal opportunity employer and are committed to fairness not only in hiring, but also in development, compensation, and promotion. Our goal is to build an inclusive community where every team member can show up authentically and thrive. Together, we win as one team. Come join us!
onX Maps will never ask for credit card or SSN details during the initial application process. For your digital safety, apply only through our legitimate website at onXmaps.com or directly via our LinkedIn page.
onX does not sell any Personal Information, but we may transfer employment related records to our service providers or third parties that provide business services to onX or as required by law. For more information, see our Privacy Policy.
As part of our interview process, your conversation may be recorded for documentation purposes to allow interviewers to focus fully on the discussion. Recordings are confidential and accessible only to authorized personnel. Please note, onX respects all applicable laws regarding recording consent, and you will have an opportunity to opt-out if preferred.
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Apply to onX
Overview
As a Geospatial and Industry subject matter expert, you’re a natural at identifying the right analysis tools for the problem at hand. Not only do you create innovative solutions, you talk about solutions in ways that get others excited about the power of GIS technology. Join an account team and advise customers on their most complex business challenges. Leverage your problem-solving skills to demonstrate the value of GIS and how it finds unique patterns, trends, and understanding.
At Esri, we are committed to our customers and their success. It is a place for you to do your best work and partner with our customers amid a supportive culture that encourages creativity, collaboration, and passion.
Responsibilities
- Build relationships. Present, demonstrate, and support selling Esri software and solutions as part of the account team. Gain access to technical enterprise-level decision makers and lead technical meetings that drive revenue.
- Be an expert. Be a technical leader of Esri technology as well as a subject matter expert of AEC and environmental consulting firms. Demonstrate your advanced understanding of sales strategies and initiatives to develop complex solutions for Esri’s most strategic customers. Understand an organization’s business structure, associated workflows, third party business systems, and integration points. Share knowledge and coach new team members on best practices.
- Solve problems. Proactively craft and propose solutions that clarify how GIS brings business value to our customers by addressing the critical challenges they face. Define and deliver complex strategies that align Esri technology with our largest customers’ business needs.
- Tell our story. Design presentations for technical and non-technical audiences within Esri’s largest customers. Provide configuration guidance and best practices. Present at large conferences and executive engagements.
Requirements
- 5+ years of experience with Esri technology creating maps, performing spatial analysis, and configuring web applications
- 3+ years of experience in AEC, environmental consulting, or related industries
- Broad knowledge of ArcGIS from an IT context (such as hardware, storage, security, networking, web services, virtualization, cloud computing)
- Demonstrated experience in technical consulting and conceptual solution design
- Understanding of sales and business development processes
- Ability to troubleshoot client issues related to Esri application deployment and system architecture
- Experience with geodatabases and underlying DBMS technology
- Knowledge of cloud computing concepts and environments (Microsoft Azure or AWS)
- Experience integrating software solutions with other business systems including data warehousing, BI, CRM, ERP, and analytics platforms
- Programming and scripting experience with languages such as Python and JavaScript
- Remarkable presentation, interpersonal, and listening skills
- Ability to travel domestically or internationally 25-50%
- Bachelor’s degree in geography, computer science, or a related field
- Visa sponsorship is not available for this posting. Applicants must be authorized to work for any employer in the U.S.
Recommended Qualifications
- Experience incorporating real-time information streams with existing GIS data and IT infrastructure
- Knowledge of digitalization strategies that include mobile, IoT, advanced analytics and data science (AI/ML), and imagery
- Master’s degree in geography, computer science, or a related field
- Experience with Microsoft Azure or AWS cloud platforms, or equivalent
- Experience with Autodesk software
- Strong understanding of 3D geospatial problems
- Working knowledge of the AEC and commercial industries at the business and strategy level
Questions about our interview process? We have answers.
#LI-JP2
Total Rewards
Esri’s competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum accrual of 80 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth. Base salary is one component of our total rewards strategy. Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
The Company
At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life’s best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri’s Racial Equity and Social Justice initiatives, please visit our website here.
If you don’t meet all of the preferred qualifications for this position, we encourage you to still apply!
Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.
Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.
Ready to apply?
Apply to Esri
Overview
As a Geospatial and Industry subject matter expert, you’re a natural at identifying the right analysis tools for the problem at hand. Not only do you create innovative solutions, you talk about solutions in ways that get others excited about the power of GIS technology. Join an account team and advise customers on their most complex business challenges. Leverage your problem-solving skills to demonstrate the value of GIS and how it finds unique patterns, trends, and understanding.
At Esri, we are committed to our customers and their success. It is a place for you to do your best work and partner with our customers amid a supportive culture that encourages creativity, collaboration, and passion.
Responsibilities
- Build relationships. Present, demonstrate, and support selling Esri software and solutions as part of the account team. Gain access to technical enterprise-level decision makers and lead technical meetings that drive revenue.
- Be an expert. Be a technical leader of Esri technology as well as a subject matter expert of AEC and environmental consulting firms. Demonstrate your advanced understanding of sales strategies and initiatives to develop complex solutions for Esri’s most strategic customers. Understand an organization’s business structure, associated workflows, third party business systems, and integration points. Share knowledge and coach new team members on best practices.
- Solve problems. Proactively craft and propose solutions that clarify how GIS brings business value to our customers by addressing the critical challenges they face. Define and deliver complex strategies that align Esri technology with our largest customers’ business needs.
- Tell our story. Design presentations for technical and non-technical audiences within Esri’s largest customers. Provide configuration guidance and best practices. Present at large conferences and executive engagements.
Requirements
- 5+ years of experience with Esri technology creating maps, performing spatial analysis, and configuring web applications
- 3+ years of experience in AEC, environmental consulting, or related industries
- Broad knowledge of ArcGIS from an IT context (such as hardware, storage, security, networking, web services, virtualization, cloud computing)
- Demonstrated experience in technical consulting and conceptual solution design
- Understanding of sales and business development processes
- Ability to troubleshoot client issues related to Esri application deployment and system architecture
- Experience with geodatabases and underlying DBMS technology
- Knowledge of cloud computing concepts and environments (Microsoft Azure or AWS)
- Experience integrating software solutions with other business systems including data warehousing, BI, CRM, ERP, and analytics platforms
- Programming and scripting experience with languages such as Python and JavaScript
- Remarkable presentation, interpersonal, and listening skills
- Ability to travel domestically or internationally 25-50%
- Bachelor’s degree in geography, computer science, or a related field
- Visa sponsorship is not available for this posting. Applicants must be authorized to work for any employer in the U.S.
Recommended Qualifications
- Experience incorporating real-time information streams with existing GIS data and IT infrastructure
- Knowledge of digitalization strategies that include mobile, IoT, advanced analytics and data science (AI/ML), and imagery
- Master’s degree in geography, computer science, or a related field
- Experience with Microsoft Azure or AWS cloud platforms, or equivalent
- Experience with Autodesk software
- Strong understanding of 3D geospatial problems
- Working knowledge of the AEC and commercial industries at the business and strategy level
Questions about our interview process? We have answers.
#LI-JP2
Total Rewards
Esri’s competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum accrual of 80 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth. Base salary is one component of our total rewards strategy. Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
The Company
At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life’s best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri’s Racial Equity and Social Justice initiatives, please visit our website here.
If you don’t meet all of the preferred qualifications for this position, we encourage you to still apply!
Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.
Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.
Ready to apply?
Apply to Esri
Overview
As a Geospatial and Industry subject matter expert, you’re a natural at identifying the right analysis tools for the problem at hand. Not only do you create innovative solutions, you talk about solutions in ways that get others excited about the power of GIS technology. Join an account team and advise customers on their most complex business challenges. Leverage your problem-solving skills to demonstrate the value of GIS and how it finds unique patterns, trends, and understanding.
At Esri, we are committed to our customers and their success. It is a place for you to do your best work and partner with our customers amid a supportive culture that encourages creativity, collaboration, and passion.
Responsibilities
- Build relationships. Present, demonstrate, and support selling Esri software and solutions as part of the account team. Gain access to technical enterprise-level decision makers and lead technical meetings that drive revenue.
- Be an expert. Be a technical leader of Esri technology as well as a subject matter expert of AEC and environmental consulting firms. Demonstrate your advanced understanding of sales strategies and initiatives to develop complex solutions for Esri’s most strategic customers. Understand an organization’s business structure, associated workflows, third party business systems, and integration points. Share knowledge and coach new team members on best practices.
- Solve problems. Proactively craft and propose solutions that clarify how GIS brings business value to our customers by addressing the critical challenges they face. Define and deliver complex strategies that align Esri technology with our largest customers’ business needs.
- Tell our story. Design presentations for technical and non-technical audiences within Esri’s largest customers. Provide configuration guidance and best practices. Present at large conferences and executive engagements.
Requirements
- 5+ years of experience with Esri technology creating maps, performing spatial analysis, and configuring web applications
- 3+ years of experience in AEC, environmental consulting, or related industries
- Broad knowledge of ArcGIS from an IT context (such as hardware, storage, security, networking, web services, virtualization, cloud computing)
- Demonstrated experience in technical consulting and conceptual solution design
- Understanding of sales and business development processes
- Ability to troubleshoot client issues related to Esri application deployment and system architecture
- Experience with geodatabases and underlying DBMS technology
- Knowledge of cloud computing concepts and environments (Microsoft Azure or AWS)
- Experience integrating software solutions with other business systems including data warehousing, BI, CRM, ERP, and analytics platforms
- Programming and scripting experience with languages such as Python and JavaScript
- Remarkable presentation, interpersonal, and listening skills
- Ability to travel domestically or internationally 25-50%
- Bachelor’s degree in geography, computer science, or a related field
- Visa sponsorship is not available for this posting. Applicants must be authorized to work for any employer in the U.S.
Recommended Qualifications
- Experience incorporating real-time information streams with existing GIS data and IT infrastructure
- Knowledge of digitalization strategies that include mobile, IoT, advanced analytics and data science (AI/ML), and imagery
- Master’s degree in geography, computer science, or a related field
- Experience with Microsoft Azure or AWS cloud platforms, or equivalent
- Experience with Autodesk software
- Strong understanding of 3D geospatial problems
- Working knowledge of the AEC and commercial industries at the business and strategy level
Questions about our interview process? We have answers.
#LI-JP2
Total Rewards
Esri’s competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum accrual of 80 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth. Base salary is one component of our total rewards strategy. Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
The Company
At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life’s best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri’s Racial Equity and Social Justice initiatives, please visit our website here.
If you don’t meet all of the preferred qualifications for this position, we encourage you to still apply!
Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.
Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.
Ready to apply?
Apply to Esri
Sr Sales Engineer, West
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Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
If you're ready to take your pre-sales career to the next level, the Dataiku Sales Engineering team would like to hear from you. Together, we've built a team that has closed some of Dataiku's most important sales with companies whose names you hear and products you use everyday. We do it by working together to serve our customers in ways that ensure their success.
How you’ll make an impact
- Qualify deals through collaboration with the Account Executive (AE), the Business Development Representative (BDR), and sales management.
- Conduct Discovery meetings and learn from the customer and the BDR about the customer's business requirements and technical environment
- Articulate to the Opportunity Team and to the customer usage scenarios that illustrate the business value desired by the customer.
- Use Dataiku to demonstrate the business value articulated in the usage scenarios.
- Design and create Dataiku demonstrations, Proofs-of-Concept (POC), and evaluations that clearly illustrate how to apply Dataiku to deliver the required customer value.
- Execute demonstrations, POCs, and evaluations through coordination of the physical and human resources of Dataiku and the customer. Lead the combined team to carry out the agreed upon course of action to prove that Dataiku delivers the needed value better than our competitors.
- Answer questions and provide technical guidance to the customer’s technical team regarding the demonstrated or evaluated solutions.
- Assist in sales pipeline building activities including attendance at live and/or virtual trade-shows and industry conferences, working with marketing and or partners on campaign design and execution and other activities specified by sales and pre-sales management.
What you’ll need to be successful
- Strong natural and intellectual curiosity especially around the application of technology to solve all kinds of problems
- 6+ years' experience in technical pre-sales, preferably in a high-growth environment
- Experience in the data science, analytics, or big data markets preferred but not required
- Familiarity with data storage and computing infrastructure for data of all sizes (SQL, NoSQL, Kubernetes, Spark, etc)
- Comfortability talking to all levels of customer teams from individual contributors to C-level executives
- Experience in Analytics/AI or other enterprise software
- Previously worked in a fast paced, growing company
- Currently located within MDT and PST timezones for West region
The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training. Eligible roles may also be entitled to receive commission or other variable compensation through Dataiku's incentive compensation program.
Dataiku also offers comprehensive benefits, including stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a 401k company match, paid vacations and sick leave, paid parental leave, employer paid disability coverage, and additional health and wellbeing perks and benefits. Dataiku reserves the right to amend or modify employee perks and benefits at any time.
What are you waiting for!
At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.Ready to apply?
Apply to Dataiku Misc Postings
Sr. Software Engineer - ML Systems
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About Cleerly
We’re Cleerly – a healthcare company that’s revolutionizing how heart disease is diagnosed, treated, and tracked. We were founded in 2017 by one of the world’s leading cardiologists and are a growing team of world-class engineering, operations, medical affairs, marketing, and sales leaders. We raised $223M in Series C funding in 2022 which has enabled rapid growth and continued support of our mission. In December 2024 we received an additional $106M in a Series C extension funding. Most of our teams work remotely and have access to our offices in Denver, Colorado, New, York, New York, Dallas, Texas, and Lisbon, Portugal with some roles requiring you to be on-site in a location.
Cleerly has created a new standard of care for heart disease through value-based, AI-driven precision diagnostic solutions with the goal of helping prevent heart attacks. Our technology goes beyond traditional measures of heart disease by enabling comprehensive quantification and characterization of atherosclerosis, or plaque buildup, in each of the heart arteries. Cleerly’s solutions are supported by more than a decade of performing some of the world’s largest clinical trials to identify important findings beyond symptoms that increase a person’s risk of heart attacks.
At Cleerly, we collaborate digitally and use a wide variety of systems. Our people use Google Workspace (GMail, Drive, Docs, Sheets, Slides), Slack, Confluence/Jira, and Zoom Video, prior experience in these areas is a plus. Role or department specific technology needs may vary and will be listed as requirements in the job description.
About the Opportunity
We are seeking a Senior Software Engineer to design, build, deploy, monitor, and optimize production-ready ML services in regulated healthcare. You will work hands-on to package, test, orchestrate, deploy, and maintain ML models, improve workflows, and implement CI/CD and automated testing to ensure reliability, performance, and faster delivery of business value.
Responsibilities
-
Design, build, and deploy scalable AI/ML services with clear service boundaries, making pragmatic trade-offs across performance, maintainability, security, and long-term extensibility.
-
Own full lifecycle delivery of complex features from architectural planning and API design to implementation and post-release observability.
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Define and enforce robust verification and validation for AI services including unit, integration, and end-to-end testing to ensure reliability of code in production and compliance with our Quality Management System and regulatory standards.
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Integrate CI/CD and MLOps practices for automated model builds, testing, and deployment.
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Translate product requirements into well-defined technical designs proactively shaping implementation details.
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Contribute to the necessary technical documentation required for regulatory submissions.
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Collaborate cross functionally to reduce knowledge silos and ensure continuity in critical systems through cross-training and documentation.
Requirements
-
Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field
-
7+ years of software engineering experience, with expertise in AI production systems (Python, PyTorch) and data services (SQL, Postgres, NoSQL, Redis or similar).
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Experience with unit, integration testing for ML models, including data validation, correctness checks, and reproducibility.
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Experience with CI/CD, Orchestration tools (Airflow, MLflow, Kubernetes, Terraform) and ML/data platforms(SageMaker, Databricks, Unity Catalog, Snowflake/Snowpark) to build scalable ML data pipelines and model workflows.
-
Strong collaboration skills to work effectively with ML scientists, engineers, and regulatory teams.
-
Comfortable operating in ambiguity and driving clarity across product, engineering, and business stakeholders.
This role is eligible for a 15% target annual bonus, resulting in the following base salary and Total Target Compensation (TTC) ranges:
- Base Salary: $153,000 - $179,000
- TTC: $176,000 - $206,000
*Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.) Additionally, stock options, paid benefits, and employee perks are part of your total rewards.
Working at Cleerly takes HEART. Discover our Core Values:
- H: Humility- be a servant leader
- E: Excellence- deliver world-changing results
- A: Accountability- do what you say; expect the same from others
- R: Remarkable- inspire & innovate with impact
- T: Teamwork- together we win
Don’t meet 100 percent of the qualifications? Apply anyway and help us diversify our candidate pool and workforce. We value experience, whether gained formally or informally on the job or through other experiences. Job duties, activities and responsibilities are subject to change by our company.
OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation.
For more information see our Privacy Policy (https://cleerlyhealth.com/privacy-policy). All official emails will come from @cleerlyhealth.com email accounts.
#Cleerly
Ready to apply?
Apply to Cleerly
Sr. Machine Learning Software Engineer
Share this job
About Cleerly
We’re Cleerly – a healthcare company that’s revolutionizing how heart disease is diagnosed, treated, and tracked. We were founded in 2017 by one of the world’s leading cardiologists and are a growing team of world-class engineering, operations, medical affairs, marketing, and sales leaders. We raised $223M in Series C funding in 2022 which has enabled rapid growth and continued support of our mission. In December 2024 we received an additional $106M in a Series C extension funding. Most of our teams work remotely and have access to our offices in Denver, Colorado, New, York, New York, Dallas, Texas, and Lisbon, Portugal with some roles requiring you to be on-site in a location.
Cleerly has created a new standard of care for heart disease through value-based, AI-driven precision diagnostic solutions with the goal of helping prevent heart attacks. Our technology goes beyond traditional measures of heart disease by enabling comprehensive quantification and characterization of atherosclerosis, or plaque buildup, in each of the heart arteries. Cleerly’s solutions are supported by more than a decade of performing some of the world’s largest clinical trials to identify important findings beyond symptoms that increase a person’s risk of heart attacks.
At Cleerly, we collaborate digitally and use a wide variety of systems. Our people use Google Workspace (GMail, Drive, Docs, Sheets, Slides), Slack, Confluence/Jira, and Zoom Video, prior experience in these areas is a plus. Role or department specific technology needs may vary and will be listed as requirements in the job description.
About the Opportunity
We are seeking a senior machine learning software engineer to design, build, deploy, monitor, and optimize production-ready ML services in regulated healthcare. You will work hands-on to package, test, orchestrate, deploy, and maintain ML models, improve workflows, and implement CI/CD and automated testing to ensure reliability, performance, and faster delivery of business value.
Responsibilities
- Collaborate with AI scientists to package and deploy ML models, ensuring reproducibility, versioning, and compliance.
- Build and maintain model serving infrastructure including monitoring, drift detection, automated retraining, and logging.
- Implement unit, integration, and system-level testing for ML models, covering data validation, model correctness, and deployment workflows.
- Develop and operate end-to-end ML pipelines: ingestion → preprocessing → feature engineering → evaluation → deployment → monitoring.
- Integrate CI/CD and MLOps practices for automated model builds, testing, and deployment.
- Identify and resolve workflow inefficiencies or gaps between research and production.
- Recommend and integrate frameworks, libraries, and infrastructure to improve pipeline efficiency, maintainability, and observability.
- Collaborate cross-functionally to ensure compliance with regulatory requirements (FDA/HIPAA) in production ML workflows.
Requirements
- 7+ years of experience in software engineering for ML production or ML platform delivery.
- Hands-on experience deploying ML models via APIs, batch pipelines, or streaming inference.
- Proficiency in Python (required), Java, or similar, with software engineering best practices for ML workflows.
- Experience with unit, integration, and pipeline-level testing for ML models, including data validation, correctness checks, and reproducibility.
- Familiarity with cloud platforms (AWS preferred: SageMaker, S3, EC2) and reproducible ML pipelines.
- Experience with CI/CD, Orchestration tools (Airflow, MLflow, Kubernetes, Terraform) and ML/data platforms(SageMaker, Databricks, Unity Catalog, Snowflake/Snowpark) to build scalable ML data pipelines and model workflows.
- Strong collaboration skills to work effectively with AI scientists, software engineers, and regulatory teams.
The base salary range for this role varies by location and is aligned to market benchmarks.
- Candidates located in higher-cost labor markets, including California, Washington, New York, New Jersey, Connecticut, Massachusetts, and Washington, DC represent the middle to high end of the range, while candidates located in all other U.S. locations represent the low to middle end of the range.
- Final compensation is determined based on location, experience, skills, and internal equity.
This role is eligible for a 15% target annual bonus, resulting in the following base salary and Total Target Compensation (TTC) ranges:
- Base Salary: $153,000 - $179,000
- TTC: $176,000 - $206,000
*Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.) Additionally, stock options, paid benefits, and employee perks are part of your total rewards.
Working at Cleerly takes HEART. Discover our Core Values:
- H: Humility- be a servant leader
- E: Excellence- deliver world-changing results
- A: Accountability- do what you say; expect the same from others
- R: Remarkable- inspire & innovate with impact
- T: Teamwork- together we win
Don’t meet 100 percent of the qualifications? Apply anyway and help us diversify our candidate pool and workforce. We value experience, whether gained formally or informally on the job or through other experiences. Job duties, activities and responsibilities are subject to change by our company.
OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation.
For more information see our Privacy Policy (https://cleerlyhealth.com/privacy-policy). All official emails will come from @cleerlyhealth.com email accounts.
#Cleerly
Ready to apply?
Apply to Cleerly
Overview
At Esri, our solution engineers are part of a highly skilled team that helps shape strategies on the effective adoption and use of Esri technologies. We invite you to use your problem-solving skills and passion for geospatial technology to become an integral part of the Geo Experience Center. Be part of the team that presents and demonstrates geospatial solutions and capabilities to executives and strategic customers when they visit our beautiful headquarters in Redlands, CA.
We’re looking for individuals who are naturally curious about technology, enjoy identifying and promoting strategies, and demonstrating solutions that will radically improve the way organizations address the challenges they face. You’ll work closely with a team that helps our customers take advantage of geospatial technologies to find answers to their challenges. You will also be working with Esri’s senior leadership team and maintain a close connection with the software development team
Responsibilities
- Build relationships. Present, demonstrate, and support selling Esri software and solutions as part of the Geo Experience Center team. Support your team as you help plan and execute sales strategies.
- Be an expert. Become a subject matter expert as well as a technical expert of Esri’s complete platform and strategic products. Speak confidently with customers about Esri technologies and thoroughly communicate the Esri message. Be a visionary for our customers anticipating their needs and the technology trends that may impact them.
- Solve problems. Proactively craft and propose solutions that illustrate how geospatial technologies bring business value to our customers by addressing the critical business challenges they face.
- Spatial thinking. Understand spatial problem solving; employ spatial theory into practice; break problems down into component parts and seek multiple solutions; look for improvement opportunities; and integrate new and emerging concepts/trends appropriately.
- Tell our story. Present technical demonstrations of proposed solutions to customers. Successfully design presentations for technical and non- technical customers. Provide best practices related to the use and customization of Esri technology.
Requirements
- 2+ years of experience with Esri technology creating maps, performing spatial analysis, and configuring web applications
- 1+ years of experience in various industries
- Knowledge of cloud computing concepts in addition to enterprise solutions
- Remarkable presentation, interpersonal, and listening skills
- Experience in mobile development and familiarity with Game Engine development
- Strong programming or scripting experience with either one or multiple of these languages: .NET, C++ Kotlin, Swift, Python, JavaScript. Java
- Understanding of ArcGIS from an IT context (such as hardware, storage, security, networking, web services, cloud computing)
- Able to work in a high-stress, action-packed, intense teamwork environments
- Ability to travel domestically or internationally up to 25-50%
- Bachelor's degree in geography, computer science, or a related field
- Visa sponsorship is not available for this posting. Applicants must be authorized to work for any employer in the U.S.
Recommended Qualifications
- Ability to troubleshoot client issues related to Esri application deployment and system architecture
- Basic understanding of artificial/machine learning concepts
- Experience in technical consulting and conceptual solution design as well as an understanding of sales and business development processes
- Experience incorporating real-time information stream with existing GIS data and IT infrastructure
- Experience with geodatabases and underlying DBMS technology
- Experience in and with 3D modeling software (Maya, Blender, Houdini)
- Master’s degree in geography, computer science, or a related field
Questions about our interview process? We have answers.
#LI-AC1
Total Rewards
Esri’s competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum accrual of 80 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth. Base salary is one component of our total rewards strategy. Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
The Company
At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life’s best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri’s Racial Equity and Social Justice initiatives, please visit our website here.
If you don’t meet all of the preferred qualifications for this position, we encourage you to still apply!
Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.
Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.
Ready to apply?
Apply to Esri
Overview
At Esri, our solution engineers are part of a highly skilled team that helps shape strategies on the effective adoption and use of Esri technologies. We invite you to use your problem-solving skills and passion for geospatial technology to become an integral part of the Geo Experience Center. Be part of the team that presents and demonstrates geospatial solutions and capabilities to executives and strategic customers when they visit our beautiful headquarters in Redlands, CA.
We’re looking for individuals who are naturally curious about technology, enjoy identifying and promoting strategies, and demonstrating solutions that will radically improve the way organizations address the challenges they face. You’ll work closely with a team that helps our customers take advantage of geospatial technologies to find answers to their challenges. You will also be working with Esri’s senior leadership team and maintain a close connection with the software development team
Responsibilities
- Build relationships. Present, demonstrate, and support selling Esri software and solutions as part of the Geo Experience Center team. Support your team as you help plan and execute sales strategies.
- Be an expert. Become a subject matter expert as well as a technical expert of Esri’s complete platform and strategic products. Speak confidently with customers about Esri technologies and thoroughly communicate the Esri message. Be a visionary for our customers anticipating their needs and the technology trends that may impact them.
- Solve problems. Proactively craft and propose solutions that illustrate how geospatial technologies bring business value to our customers by addressing the critical business challenges they face.
- Spatial thinking. Understand spatial problem solving; employ spatial theory into practice; break problems down into component parts and seek multiple solutions; look for improvement opportunities; and integrate new and emerging concepts/trends appropriately.
- Tell our story. Present technical demonstrations of proposed solutions to customers. Successfully design presentations for technical and non- technical customers. Provide best practices related to the use and customization of Esri technology.
Requirements
- 2+ years of experience with Esri technology creating maps, performing spatial analysis, and configuring web applications
- 1+ years of experience in various industries
- Knowledge of cloud computing concepts in addition to enterprise solutions
- Remarkable presentation, interpersonal, and listening skills
- Experience in mobile development and familiarity with Game Engine development
- Strong programming or scripting experience with either one or multiple of these languages: .NET, C++ Kotlin, Swift, Python, JavaScript. Java
- Understanding of ArcGIS from an IT context (such as hardware, storage, security, networking, web services, cloud computing)
- Able to work in a high-stress, action-packed, intense teamwork environments
- Ability to travel domestically or internationally up to 25-50%
- Bachelor's degree in geography, computer science, or a related field
- Visa sponsorship is not available for this posting. Applicants must be authorized to work for any employer in the U.S.
Recommended Qualifications
- Ability to troubleshoot client issues related to Esri application deployment and system architecture
- Basic understanding of artificial/machine learning concepts
- Experience in technical consulting and conceptual solution design as well as an understanding of sales and business development processes
- Experience incorporating real-time information stream with existing GIS data and IT infrastructure
- Experience with geodatabases and underlying DBMS technology
- Experience in and with 3D modeling software (Maya, Blender, Houdini)
- Master’s degree in geography, computer science, or a related field
Questions about our interview process? We have answers.
#LI-AC1
Total Rewards
Esri’s competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum accrual of 80 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth. Base salary is one component of our total rewards strategy. Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
The Company
At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life’s best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri’s Racial Equity and Social Justice initiatives, please visit our website here.
If you don’t meet all of the preferred qualifications for this position, we encourage you to still apply!
Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.
Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.
Ready to apply?
Apply to Esri
Overview
At Esri, our solution engineers are part of a highly skilled team that helps shape strategies on the effective adoption and use of Esri technologies. We invite you to use your problem-solving skills and passion for geospatial technology to become an integral part of the Geo Experience Center. Be part of the team that presents and demonstrates geospatial solutions and capabilities to executives and strategic customers when they visit our beautiful headquarters in Redlands, CA.
We’re looking for individuals who are naturally curious about technology, enjoy identifying and promoting strategies, and demonstrating solutions that will radically improve the way organizations address the challenges they face. You’ll work closely with a team that helps our customers take advantage of geospatial technologies to find answers to their challenges. You will also be working with Esri’s senior leadership team and maintain a close connection with the software development team
Responsibilities
- Build relationships. Present, demonstrate, and support selling Esri software and solutions as part of the Geo Experience Center team. Support your team as you help plan and execute sales strategies.
- Be an expert. Become a subject matter expert as well as a technical expert of Esri’s complete platform and strategic products. Speak confidently with customers about Esri technologies and thoroughly communicate the Esri message. Be a visionary for our customers anticipating their needs and the technology trends that may impact them.
- Solve problems. Proactively craft and propose solutions that illustrate how geospatial technologies bring business value to our customers by addressing the critical business challenges they face.
- Spatial thinking. Understand spatial problem solving; employ spatial theory into practice; break problems down into component parts and seek multiple solutions; look for improvement opportunities; and integrate new and emerging concepts/trends appropriately.
- Tell our story. Present technical demonstrations of proposed solutions to customers. Successfully design presentations for technical and non- technical customers. Provide best practices related to the use and customization of Esri technology.
Requirements
- 2+ years of experience with Esri technology creating maps, performing spatial analysis, and configuring web applications
- 1+ years of experience in various industries
- Knowledge of cloud computing concepts in addition to enterprise solutions
- Remarkable presentation, interpersonal, and listening skills
- Experience in mobile development and familiarity with Game Engine development
- Strong programming or scripting experience with either one or multiple of these languages: .NET, C++ Kotlin, Swift, Python, JavaScript. Java
- Understanding of ArcGIS from an IT context (such as hardware, storage, security, networking, web services, cloud computing)
- Able to work in a high-stress, action-packed, intense teamwork environments
- Ability to travel domestically or internationally up to 25-50%
- Bachelor's degree in geography, computer science, or a related field
- Visa sponsorship is not available for this posting. Applicants must be authorized to work for any employer in the U.S.
Recommended Qualifications
- Ability to troubleshoot client issues related to Esri application deployment and system architecture
- Basic understanding of artificial/machine learning concepts
- Experience in technical consulting and conceptual solution design as well as an understanding of sales and business development processes
- Experience incorporating real-time information stream with existing GIS data and IT infrastructure
- Experience with geodatabases and underlying DBMS technology
- Experience in and with 3D modeling software (Maya, Blender, Houdini)
- Master’s degree in geography, computer science, or a related field
Questions about our interview process? We have answers.
#LI-AC1
Total Rewards
Esri’s competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum accrual of 80 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth. Base salary is one component of our total rewards strategy. Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
The Company
At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life’s best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri’s Racial Equity and Social Justice initiatives, please visit our website here.
If you don’t meet all of the preferred qualifications for this position, we encourage you to still apply!
Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.
Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.
Ready to apply?
Apply to Esri
Overview
At Esri, our solution engineers are part of a highly skilled team that helps shape strategies on the effective adoption and use of Esri technologies. We invite you to use your problem-solving skills and passion for geospatial technology to become an integral part of the Geo Experience Center. Be part of the team that presents and demonstrates geospatial solutions and capabilities to executives and strategic customers when they visit our beautiful headquarters in Redlands, CA.
We’re looking for individuals who are naturally curious about technology, enjoy identifying and promoting strategies, and demonstrating solutions that will radically improve the way organizations address the challenges they face. You’ll work closely with a team that helps our customers take advantage of geospatial technologies to find answers to their challenges. You will also be working with Esri’s senior leadership team and maintain a close connection with the software development team
Responsibilities
- Build relationships. Present, demonstrate, and support selling Esri software and solutions as part of the Geo Experience Center team. Support your team as you help plan and execute sales strategies.
- Be an expert. Become a subject matter expert as well as a technical expert of Esri’s complete platform and strategic products. Speak confidently with customers about Esri technologies and thoroughly communicate the Esri message. Be a visionary for our customers anticipating their needs and the technology trends that may impact them.
- Solve problems. Proactively craft and propose solutions that illustrate how geospatial technologies bring business value to our customers by addressing the critical business challenges they face.
- Spatial thinking. Understand spatial problem solving; employ spatial theory into practice; break problems down into component parts and seek multiple solutions; look for improvement opportunities; and integrate new and emerging concepts/trends appropriately.
- Tell our story. Present technical demonstrations of proposed solutions to customers. Successfully design presentations for technical and non- technical customers. Provide best practices related to the use and customization of Esri technology.
Requirements
- 2+ years of experience with Esri technology creating maps, performing spatial analysis, and configuring web applications
- 1+ years of experience in various industries
- Knowledge of cloud computing concepts in addition to enterprise solutions
- Remarkable presentation, interpersonal, and listening skills
- Experience in mobile development and familiarity with Game Engine development
- Strong programming or scripting experience with either one or multiple of these languages: .NET, C++ Kotlin, Swift, Python, JavaScript. Java
- Understanding of ArcGIS from an IT context (such as hardware, storage, security, networking, web services, cloud computing)
- Able to work in a high-stress, action-packed, intense teamwork environments
- Ability to travel domestically or internationally up to 25-50%
- Bachelor's degree in geography, computer science, or a related field
- Visa sponsorship is not available for this posting. Applicants must be authorized to work for any employer in the U.S.
Recommended Qualifications
- Ability to troubleshoot client issues related to Esri application deployment and system architecture
- Basic understanding of artificial/machine learning concepts
- Experience in technical consulting and conceptual solution design as well as an understanding of sales and business development processes
- Experience incorporating real-time information stream with existing GIS data and IT infrastructure
- Experience with geodatabases and underlying DBMS technology
- Experience in and with 3D modeling software (Maya, Blender, Houdini)
- Master’s degree in geography, computer science, or a related field
Questions about our interview process? We have answers.
#LI-AC1
Total Rewards
Esri’s competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum accrual of 80 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth. Base salary is one component of our total rewards strategy. Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
The Company
At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life’s best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri’s Racial Equity and Social Justice initiatives, please visit our website here.
If you don’t meet all of the preferred qualifications for this position, we encourage you to still apply!
Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.
Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.
Ready to apply?
Apply to Esri
Overview
At Esri, our solution engineers are part of a highly skilled team that helps shape strategies on the effective adoption and use of Esri technologies. We invite you to use your problem-solving skills and passion for geospatial technology to become an integral part of the Geo Experience Center. Be part of the team that presents and demonstrates geospatial solutions and capabilities to executives and strategic customers when they visit our beautiful headquarters in Redlands, CA.
We’re looking for individuals who are naturally curious about technology, enjoy identifying and promoting strategies, and demonstrating solutions that will radically improve the way organizations address the challenges they face. You’ll work closely with a team that helps our customers take advantage of geospatial technologies to find answers to their challenges. You will also be working with Esri’s senior leadership team and maintain a close connection with the software development team
Responsibilities
- Build relationships. Present, demonstrate, and support selling Esri software and solutions as part of the Geo Experience Center team. Support your team as you help plan and execute sales strategies.
- Be an expert. Become a subject matter expert as well as a technical expert of Esri’s complete platform and strategic products. Speak confidently with customers about Esri technologies and thoroughly communicate the Esri message. Be a visionary for our customers anticipating their needs and the technology trends that may impact them.
- Solve problems. Proactively craft and propose solutions that illustrate how geospatial technologies bring business value to our customers by addressing the critical business challenges they face.
- Spatial thinking. Understand spatial problem solving; employ spatial theory into practice; break problems down into component parts and seek multiple solutions; look for improvement opportunities; and integrate new and emerging concepts/trends appropriately.
- Tell our story. Present technical demonstrations of proposed solutions to customers. Successfully design presentations for technical and non- technical customers. Provide best practices related to the use and customization of Esri technology.
Requirements
- 2+ years of experience with Esri technology creating maps, performing spatial analysis, and configuring web applications
- 1+ years of experience in various industries
- Knowledge of cloud computing concepts in addition to enterprise solutions
- Remarkable presentation, interpersonal, and listening skills
- Experience in mobile development and familiarity with Game Engine development
- Strong programming or scripting experience with either one or multiple of these languages: .NET, C++ Kotlin, Swift, Python, JavaScript. Java
- Understanding of ArcGIS from an IT context (such as hardware, storage, security, networking, web services, cloud computing)
- Able to work in a high-stress, action-packed, intense teamwork environments
- Ability to travel domestically or internationally up to 25-50%
- Bachelor's degree in geography, computer science, or a related field
- Visa sponsorship is not available for this posting. Applicants must be authorized to work for any employer in the U.S.
Recommended Qualifications
- Ability to troubleshoot client issues related to Esri application deployment and system architecture
- Basic understanding of artificial/machine learning concepts
- Experience in technical consulting and conceptual solution design as well as an understanding of sales and business development processes
- Experience incorporating real-time information stream with existing GIS data and IT infrastructure
- Experience with geodatabases and underlying DBMS technology
- Experience in and with 3D modeling software (Maya, Blender, Houdini)
- Master’s degree in geography, computer science, or a related field
Questions about our interview process? We have answers.
#LI-AC1
Total Rewards
Esri’s competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum accrual of 80 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth. Base salary is one component of our total rewards strategy. Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
The Company
At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life’s best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri’s Racial Equity and Social Justice initiatives, please visit our website here.
If you don’t meet all of the preferred qualifications for this position, we encourage you to still apply!
Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.
Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.
Ready to apply?
Apply to Esri
Overview
At Esri, our solution engineers are part of a highly skilled team that helps shape strategies on the effective adoption and use of Esri technologies. We invite you to use your problem-solving skills and passion for geospatial technology to become an integral part of the Geo Experience Center. Be part of the team that presents and demonstrates geospatial solutions and capabilities to executives and strategic customers when they visit our beautiful headquarters in Redlands, CA.
We’re looking for individuals who are naturally curious about technology, enjoy identifying and promoting strategies, and demonstrating solutions that will radically improve the way organizations address the challenges they face. You’ll work closely with a team that helps our customers take advantage of geospatial technologies to find answers to their challenges. You will also be working with Esri’s senior leadership team and maintain a close connection with the software development team
Responsibilities
- Build relationships. Present, demonstrate, and support selling Esri software and solutions as part of the Geo Experience Center team. Support your team as you help plan and execute sales strategies.
- Be an expert. Become a subject matter expert as well as a technical expert of Esri’s complete platform and strategic products. Speak confidently with customers about Esri technologies and thoroughly communicate the Esri message. Be a visionary for our customers anticipating their needs and the technology trends that may impact them.
- Solve problems. Proactively craft and propose solutions that illustrate how geospatial technologies bring business value to our customers by addressing the critical business challenges they face.
- Spatial thinking. Understand spatial problem solving; employ spatial theory into practice; break problems down into component parts and seek multiple solutions; look for improvement opportunities; and integrate new and emerging concepts/trends appropriately.
- Tell our story. Present technical demonstrations of proposed solutions to customers. Successfully design presentations for technical and non- technical customers. Provide best practices related to the use and customization of Esri technology.
Requirements
- 2+ years of experience with Esri technology creating maps, performing spatial analysis, and configuring web applications
- 1+ years of experience in various industries
- Knowledge of cloud computing concepts in addition to enterprise solutions
- Remarkable presentation, interpersonal, and listening skills
- Experience in mobile development and familiarity with Game Engine development
- Strong programming or scripting experience with either one or multiple of these languages: .NET, C++ Kotlin, Swift, Python, JavaScript. Java
- Understanding of ArcGIS from an IT context (such as hardware, storage, security, networking, web services, cloud computing)
- Able to work in a high-stress, action-packed, intense teamwork environments
- Ability to travel domestically or internationally up to 25-50%
- Bachelor's degree in geography, computer science, or a related field
- Visa sponsorship is not available for this posting. Applicants must be authorized to work for any employer in the U.S.
Recommended Qualifications
- Ability to troubleshoot client issues related to Esri application deployment and system architecture
- Basic understanding of artificial/machine learning concepts
- Experience in technical consulting and conceptual solution design as well as an understanding of sales and business development processes
- Experience incorporating real-time information stream with existing GIS data and IT infrastructure
- Experience with geodatabases and underlying DBMS technology
- Experience in and with 3D modeling software (Maya, Blender, Houdini)
- Master’s degree in geography, computer science, or a related field
Questions about our interview process? We have answers.
#LI-AC1
Total Rewards
Esri’s competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum accrual of 80 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth. Base salary is one component of our total rewards strategy. Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
The Company
At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life’s best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri’s Racial Equity and Social Justice initiatives, please visit our website here.
If you don’t meet all of the preferred qualifications for this position, we encourage you to still apply!
Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.
Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.
Ready to apply?
Apply to Esri
Overview
As a Geospatial and Industry subject matter expert, you’re a natural at identifying the right analysis tools for the problem at hand. Not only do you create innovative solutions, you talk about solutions in ways that get others excited about the power of GIS technology. Join an account team and advise customers on their most complex business challenges. Leverage your problem-solving skills to demonstrate the value of GIS and how it finds unique patterns, trends, and understanding.
At Esri, we are committed to our customers and their success. It is a place for you to do your best work and partner with our customers amid a supportive culture that encourages creativity, collaboration, and passion.
Responsibilities
- Build relationships. Present, demonstrate, and support selling Esri software and solutions as part of the account team. Gain access to technical enterprise-level decision makers and lead technical meetings that drive revenue.
- Be an expert. Be a technical leader of Esri technology as well as a subject matter expert of AEC and environmental consulting firms. Demonstrate your advanced understanding of sales strategies and initiatives to develop complex solutions for Esri’s most strategic customers. Understand an organization’s business structure, associated workflows, third party business systems, and integration points. Share knowledge and coach new team members on best practices.
- Solve problems. Proactively craft and propose solutions that clarify how GIS brings business value to our customers by addressing the critical challenges they face. Define and deliver complex strategies that align Esri technology with our largest customers’ business needs.
- Tell our story. Design presentations for technical and non-technical audiences within Esri’s largest customers. Provide configuration guidance and best practices. Present at large conferences and executive engagements.
Requirements
- 5+ years of experience with Esri technology creating maps, performing spatial analysis, and configuring web applications
- 3+ years of experience in AEC, environmental consulting, or related industries
- Broad knowledge of ArcGIS from an IT context (such as hardware, storage, security, networking, web services, virtualization, cloud computing)
- Demonstrated experience in technical consulting and conceptual solution design
- Understanding of sales and business development processes
- Ability to troubleshoot client issues related to Esri application deployment and system architecture
- Experience with geodatabases and underlying DBMS technology
- Knowledge of cloud computing concepts and environments (Microsoft Azure or AWS)
- Experience integrating software solutions with other business systems including data warehousing, BI, CRM, ERP, and analytics platforms
- Programming and scripting experience with languages such as Python and JavaScript
- Remarkable presentation, interpersonal, and listening skills
- Ability to travel domestically or internationally 25-50%
- Bachelor’s degree in geography, computer science, or a related field
- Visa sponsorship is not available for this posting. Applicants must be authorized to work for any employer in the U.S.
Recommended Qualifications
- Experience incorporating real-time information streams with existing GIS data and IT infrastructure
- Knowledge of digitalization strategies that include mobile, IoT, advanced analytics and data science (AI/ML), and imagery
- Master’s degree in geography, computer science, or a related field
- Experience with Microsoft Azure or AWS cloud platforms, or equivalent
- Experience with Autodesk software
- Strong understanding of 3D geospatial problems
- Working knowledge of the AEC and commercial industries at the business and strategy level
Questions about our interview process? We have answers.
#LI-JP2
Total Rewards
Esri’s competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum accrual of 80 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth. Base salary is one component of our total rewards strategy. Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
The Company
At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life’s best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri’s Racial Equity and Social Justice initiatives, please visit our website here.
If you don’t meet all of the preferred qualifications for this position, we encourage you to still apply!
Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.
Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.
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