As a Forward Deployed Engineer (FDE) at Primer, you’ll grow your software engineering skills along with our AI and NLP technologies to help national security organizations solve some of their toughest challenges. As a technical team-member who understands customer needs and expectations, success in providing solutions will require problem solving ability, technical acumen, and the ability to see the big picture at a global level. Strong candidates will excel in both technical agility and stakeholder communication, realizing the broader impact at stake, with urgency and expertise to match.

Role Responsibilities - How You Will Make An Impact

• Engage with customers, partners, and prospects to understand their problems, scope technical requirements, prototype and propose effective solutions
• Work with cross-functional teams across Primer to satisfy the unique requirements of our national security customers and deploy our products in secure environments
• Partner with our Product Management and Engineering teams to identify and prioritize feature development based on customer feedback
• Train, deploy, and tune machine learning models on customer data sets
• Dig into software source code to customize, integrate, and troubleshoot onsite customer product deployments
• Provide subject matter expertise to advise our DevOps and Engineering teams on feature and deployment enhancements

Relevant Skills & Experiences:

• Active TOP SECRET clearance within the Department of Defense
• Hands-on experience with a major cloud services provider (AWS or Microsoft Azure)
• Professional experience developing and deploying Python applications. Linux, Docker and Kubernetes proficiency - you’ll need to know your way around a Linux shell in order to operate services, and then deploy them at scale
• Strong DevOps chops - you’ll need to be comfortable with automation tools to accelerate the deployment of infrastructure and software services in our customers’ environments
• Strong communication skills - you’ll be the technical representative of Primer to our customers

Bonus Points:

• Full-stack web and backend development skills
• Experience with natural language processing (NLP)
• Direct experience with the secure, privileged regions of AWS or Microsoft Azure
• Familiarity with identity management solutions for authentication and authorization

As a Senior Forward Deployed Engineer (FDE) at Primer, you’ll grow your software engineering skills along with our AI and NLP technologies to help national security organizations solve some of their toughest challenges. As a technical team-member who understands customer needs and expectations, success in providing solutions will require problem solving ability, technical acumen, and the ability to see the big picture at a global level. Strong candidates will excel in both technical agility and stakeholder communication, realizing the broader impact at stake, with urgency and expertise to match.

Role Responsibilities - How You Will Make An Impact

• Engage with customers, partners, and prospects to understand their problems, scope technical requirements, prototype and propose effective solutions
• Work with cross-functional teams across Primer to satisfy the unique requirements of various national security customers and deploy our products in secure environments
• Partner with our Product Management and Engineering teams to identify and prioritize platform feature development based on customer feedback
• Dig into software source code to customize, integrate, and troubleshoot onsite customer platform deployments
• Provide subject matter expertise to advise our DevOps and Engineering teams on feature and deployment enhancements
• Optimizing applications for speed and scalability through performance analysis
• Maintaining high coding standards through the development of guidelines, active participation in code reviews, and fostering a culture of continuous improvement and knowledge sharing among your team

Relevant Skills & Experiences:

• Professional experience developing and deploying Python applications
• Hands-on experience with a major cloud services provider (AWS or Microsoft Azure)
• Linux, Docker and Kubernetes proficiency - you’ll need to know your way around a Linux shell in order to operate services, and then deploy them at scale
• Strong DevOps chops - you’ll need to be comfortable with automation tools to accelerate the deployment of infrastructure and software services in our customers’ environments
• Strong communication skills - you’ll be the technical representative of Primer to our customers

Bonus Points:

• Full-stack web and backend development skills
• Experience with natural language processing (NLP)
• Direct experience with the secure, privileged regions of AWS or Microsoft Azure
• Familiarity with identity management solutions for authentication and authorization

Final compensation will be determined based on experience and skills and may vary from the range listed above.

This position is open to candidates based in Singapore who are able to work from our Singapore office 2–3 days per week as part of a hybrid work model.

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

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

Role Responsibilities - How You Will Make An Impact:

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

Relevant Skills and Experience:

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

Bonus Points:

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

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