We are looking for a Senior Quantum Field Engineer for our US Federal business. As a Senior Quantum Field Engineer, you’ll be part of a team whose mission is to lead IonQ on its journey to build the world’s best quantum solutions and solve the world’s most complex problems.  Field Engineering sits at the intersection of customers, markets, products and product teams, algorithms, applications, innovation and strategy - this is the team where ideas become applied and have impact.

Join a nimble team of scientists, engineers, salespeople, marketers, business developers, and product managers to drive an entirely new quantum computing business. We’re seeking versatile engineers and architects skilled in technical sales, technical demos and customer interactions who feel energized to deliver IonQ’s quantum computing products and quantum applications. 

Responsibilities:

• Inspire and co-engineer solutions with the US Intel Agencies by explaining IonQ’s strategy, portfolio and answering technical questions about quantum portfolio (compute, network, security, sensing and space) and quantum applications.
• Lead and shepherd client discussions, inspiring them to see how quantum applications can be implemented in their business domain.
• This includes working through business needs and mapping Quantum Algorithms (financial services, bioscience, chemistry and materials, optimization, generative AI, and other domains) into application code and executing Proof-of-Concepts together with the IonQ Application team.
• Share insights from clients with the IonQ Product Management and Engineering teams such that client feedback is incorporated into our products.
• Navigate competitive objection handling
• Translate business needs expressed by our clients into technical work projects in collaboration with other team members.
• Create assets to explain features of our quantum applications and other IonQ quantum products.
• Move dialogs from initial ideation to focused exploration domain through to proof-of-concept and ultimately into production workflows.
• Lead client discovery sessions for business-oriented use cases that uncover potential overlap with development of useful quantum algorithms together with the IonQ Application team
• Partner with marketing, developer relations and business development to grow awareness of IonQ in the world at large.
• Attend industry conferences, as needed, to talk to client and support our booth activities.
• This is a technical customer-facing role with the appropriate balance of compensation acceleration for success and a base salary to ensure that credibility and technical correctness always comes first.

You’d be a good fit with:

• 10+ years of experience in technical customer-facing role or equivalent capacity.  The ability to communicate (at the various context-appropriate levels of depth) and persuade clearly, have strong EQ, and other customer-facing skills are critical.
• US Citizen, with Top Secret (TS) / Sensitive Compartmented Information (SCI) clearance required, with a full scope polygraph preferred
• 5 years of focused experience with technology companies that support US Intel Agencies
• Bachelor’s degree or above in Computer Science, Machine Learning, Data Science, or other STEM field, such as Chemistry, Physics or Engineering
• Motivated learner with a strong interest in quantum computing.
• Mission oriented person - driven to help the US Federal Government Intel agencies

You’d be a great fit with: 

• Masters or PhD in a STEM field, perhaps adjacent to quantum computing.
• Time on the customer side in various verticals included leadership roles - this provides customer empathy
• Hands-on experience with Qiskit, Cirq or other quantum computing SDK.
• Proficient in Python and Jupyter Notebooks.
• Expert architecture skills across various technologies (“full stack skills”)
• Experience leading technical events.

Location: This position can work onsite or hybrid from one of our offices (College Park, MD, Bothell, WA) or fully remote in the US or Canada.
Travel: Some travel expected in the US (20%) but opportunities for global travel are available as well for client meeting and IonQ conference activities.
Job ID:  1311

The approximate base salary range for this position is $192,979 - $252,659. The total compensation package includes base, bonus, and equity.

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

Responsibilities:

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

You’d be a good fit with:

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

You’d be a great fit with:

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

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

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

Position Overview

We are seeking a Senior Full Stack AI Application Engineer (Frontend Emphasis) with to design and build sophisticated web applications that surface advanced AI capabilities to internal and external stakeholders.

This role is responsible for creating polished, intuitive, and high performance user interfaces that enable engineers, operators, and executives to interact effectively with data, analytics, and AI powered systems.

Key Responsibilities

• Design and build internal AI enabled web applications using modern frontend frameworks
• Develop real time dashboards and data visualizations for monitoring operations and supporting leadership decision making
• Create conversational AI interfaces that allow natural language interaction with data and systems
• Architect responsive and accessible frontend components for use across multiple device types and environments
• Implement real time data updates using streaming technologies for live telemetry and system status
• Establish and maintain a frontend design system and reusable component library
• Develop customer facing, partner oriented application features with configurable theming and branding
• Implement authentication, authorization, and role based access control user flows
• Optimize frontend performance when working with large or complex datasets
• Collaborate closely with backend engineers and AI/ML teams to define APIs, data contracts, and integration patterns

 Qualifications

 Education

• Bachelor’s degree in Computer Science or a related field

Experience

• A minimum of 5 years of frontend focused full stack development experience
• Equivalent professional experience may be considered in lieu of formal education

Preferred Qualifications

• Experience delivering enterprise or B2B SaaS applications
• Background in AI enabled products, conversational interfaces, or intelligent copilots
• Experience with advanced or 3D data visualization technologies
• Exposure to product development from concept through production at scale
• Familiarity with real time streaming or event driven architectures

Soft Skills

• Strong interpersonal and collaboration skills across technical and non technical teams
• Excellent written and verbal communication skills
• Proven ability to translate complex technical concepts into intuitive user experiences
• Meticulous attention to detail to ensure high quality, accurate deliverables
• Strong problem solving, ownership, and adaptability in fast paced environments

Technology Stack

• Modern frontend frameworks and languages (e.g., React, TypeScript, modern CSS)
• Data visualization libraries and mapping solutions
• State management, component libraries, and design system tooling
• API integration with backend services and real time data protocols
• Authentication and access control frameworks
• Familiarity with common backend technologies and languages

Physical Requirements

• Ability to work in a standard office or remote environment
• Ability to use a computer and multiple monitors for extended periods
• Ability to participate in design discussions, code reviews, and collaborative meetings

This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands. 

Position Overview

We are seeking a Senior Full‑Stack AI Application Engineer with strong expertise in native iOS and VisionOS development to design and deliver advanced AI‑powered mobile and spatial computing applications. This role focuses on building intuitive, high‑performance user experiences that leverage computer vision, machine learning, and immersive 3D interfaces to support engineering, manufacturing, and operational workflows.

You will own the application layer end‑to‑end while collaborating closely with cross‑functional teams to ensure seamless integration across mobile, spatial, and web platforms.

Key Responsibilities

• Design, develop, and maintain native iOS (Swift/SwiftUI) and VisionOS applications for AI‑enabled tools and operational workflows
• Develop immersive experiences on spatial and extended reality platforms for visualization, guided workflows, and interactive 3D environments
• Implement on‑device machine learning inference for real‑time analysis and visualization using mobile hardware capabilities
• Develop camera‑based workflows optimized for challenging physical environments and guided user interaction
• Architect offline‑first mobile solutions with local data storage and background synchronization
• Integrate mobile and spatial applications with backend services and web platforms for unified user experiences
• Build scalable interfaces for real‑time notifications, alerts, and status updates
• Contribute to full‑stack web applications supporting analytics, monitoring, and reporting use cases
• Optimize application performance, reliability, and usability for extended daily use
• Collaborate with product, data, and infrastructure teams to align application design with backend systems and AI pipelines

Qualifications

Education

Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience

Experience

• A minimum of 5 years of full‑stack software development experience
• At least 3 years of native iOS application development with production‑level deployment

Preferred Qualifications

• Experience developing VisionOS or spatial computing applications
• Background building mobile applications for industrial, operational, or field environments
• Experience integrating computer vision or AI capabilities into mobile or AR applications
• Familiarity with 3D rendering, spatial visualization, or immersive UI concepts
• Experience supporting products through full lifecycle from concept to production
• Exposure to enterprise mobile deployment or device management environments

Soft Skills

• Strong interpersonal skills and ability to collaborate effectively with cross‑functional teams
• Excellent written and verbal communication skills
• Proven ability to take ownership of complex projects from design through delivery
• Strong problem‑solving skills with a proactive, solution‑oriented mindset
• Meticulous attention to detail to ensure high‑quality, reliable applications

Technology Stack

• Swift, SwiftUI, VisionOS, RealityKit, ARKit
• Core ML, on‑device inference frameworks
• React, Next.js, Python‑based APIs (e.g., FastAPI or similar)
• Relational and caching databases (e.g., PostgreSQL, Redis)
• Cloud‑based services and containerized environments
• RESTful and real‑time communication patterns (e.g., WebSockets)

Physical Requirements

• Ability to work in a standard office or hybrid environment
• Prolonged periods of working on a computer and mobile devices
• Ability to participate in design reviews, testing, and collaborative sessions as needed

This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands. 

Position Overview 

We are seeking a Lead Data Engineer to serve as a senior individual contributor—equivalent to a Staff or Principal Data Engineer—with full ownership of analytics data architecture and engineering standards. This hands‑on technical leadership role is part of a high‑impact analytics team responsible for enabling data‑driven decision‑making across satellite network planning, capacity and demand forecasting, network operations, and performance analytics. 

The Lead Data Engineer will design, build, and operate scalable, production‑grade data pipelines and analytical infrastructure to ensure high‑quality; reliable data is consistently available across global planning and operational workflows. This role defines how operational, network, and business data is ingested, modeled, governed, and consumed—transforming complex, heterogeneous datasets into trusted, decision‑ready analytics assets. 

While this position does not include people management, it carries significant technical ownership and influence. The Lead Data Engineer drives architectural strategy, establishes engineering best practices, and mentors analytics professionals to elevate data engineering maturity across the organization. 

 Success in this role is measured by enabling fast, confident, and consistent data‑driven decision‑making—not platform uptime alone. The focus is on delivering durable analytics foundations that support insight, alignment, and execution at scale 

Key Responsibilities 

Data Architecture & Platform Ownership 

• Own the end‑to‑end analytics data architecture, including ingestion, modeling, governance, and consumption patterns. 

• Design, build, and maintain scalable, reliable data pipelines supporting forecasting, network planning, and operational analytics. 

• Establish and operate a lakehouse‑style architecture (raw → normalized → curated). 
• Integrate diverse, complex operational and telemetry data sources into unified analytical and semantic models. 

Analytics Enablement & Decision Systems 

• Translate ambiguous business needs into durable data products, including curated datasets, semantic layers, and standardized KPIs. 

• Define KPI frameworks with consistent definitions, calculations, and refresh logic across teams. 

• Enable self‑service analytics by delivering trusted, well‑documented, discoverable datasets for BI and advanced analytics. 

  Data Quality, Reliability & Governance 

• Implement automated validation, monitoring, and freshness checks across critical pipelines. 

• Identify and resolve systemic data issues proactively, ensuring uninterrupted operational insights. 

• Design schemas and pipelines with governance needs in mind, including lineage, auditability, and certification. 

  Technical Leadership & Standards 

• Serve as the technical authority for analytics engineering and own architectural decisions. 

• Establish and enforce engineering best practices, including testing, version control, documentation, and modular SQL/Python patterns. 

• Mentor analysts and engineers to raise the quality and reliability of data products. 

• Capture metadata and ownership for scalable governance and enterprise cataloging. 

  Qualifications 

Education 

• Bachelor’s degree in computer science, data engineering, information systems, or a related technical field required. 

• Master’s degree preferred but not required. 

  Experience 

• A minimum of 7–10 years of experience in data engineering, analytics engineering, or related fields. 

• Proven experience designing and operating production‑grade data systems at scale. 

  Preferred Qualifications 

• Experience in telecom, satellite networks, IoT, or other high‑volume telemetry data environments. 

• Familiarity with predictive analytics, forecasting workflows, or ML‑driven feature pipelines. 

• Hands‑on experience implementing data quality frameworks, metadata systems, or data lineage tooling. 

• Experience supporting enterprise analytics on a global scale. 

  Soft Skills 

• Strong interpersonal skills and ability to collaborate across cross‑functional teams. 

• Excellent written and verbal communication skills. 

• Strong problem‑solving, debugging, and prioritization abilities. 

• Ability to operate effectively in fast‑moving, ambiguous environments. 

• Meticulous attention to detail, ensuring accuracy across all documentation and data products. 

• Demonstrated ability to translate complex technical concepts for non‑technical stakeholders. 

  Technology Stack 

• SQL (advanced proficiency for analytics‑grade modeling and transformations) 

• Python (data processing, automation, pipeline development) 

• Cloud platforms such as AWS (preferred), Azure, or GCP 

• ETL/ELT tools such as Airflow, Prefect, or Azure Data Factory 

• Modern data ecosystems including Databricks, Snowflake, Redshift, or similar 

• BI and analytics tools such as Power BI, Tableau, or Looker 

• Version control (Git), CI/CD, and modern testing frameworks 

 Physical Requirements 

• Ability to work in a standard office environment and use a computer for extended periods. 
• Occasional virtual or in‑person collaboration across global teams. 

This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands. 

About the Role:

We are seeking an experienced Principal Software Engineer (Data) to join our fast-paced, collaborative data team. In this role, you will have broad authority to drive the direction of our technographic data services, building world-class data pipelines and systems to process billions of signals and data points. This is an exciting opportunity to solve challenging problems and make a big impact as we invest in making technographics a first-class offering.

What You'll Do:

• Build and optimize big data pipelines to extract and process signals from the web, job postings, and other sources
• Design and implement data architectures and storage solutions to efficiently handle massive data volumes
• Collaborate closely with data scientists to support and integrate ML models into data workflows
• Continuously improve data quality, performance, and scalability of our technographic data platform
• Drive technical strategy and roadmap for the data processing infrastructure.

What We're Looking For:

• Extensive experience building and scaling big data pipelines and architectures from scratch
• Deep expertise in big data frameworks (Hadoop, Spark) and the JVM stack (Java, Scala)
• Strong software engineering fundamentals and ability to write efficient, high-quality code
• Experience with entity recognition and NLP techniques a plus
• Proven track record delivering results and driving projects in a fast-paced environment
• Excellent collaboration and communication skills to work with data scientists, analysts and product teams
• Passion for leveraging huge datasets to power valuable insights.

Ideal Background:

• 10+ years of experience in software engineering roles.
• Experience working with very large datasets and distributed systems
• Familiarity building data pipelines at large tech companies or data-driven organizations
• Bachelor's or advanced degree in Computer Science, Engineering or related technical field.

#LI-SK1

#LI-Remote

Your Role:

Tenable is looking for a highly motivated Senior Research Engineer to join our Research Solutions Engineering Team.

This team serves as the critical bridge between our Research organization and Product teams, driving technology transfer and productization of cutting-edge security innovations. You'll transform novel research concepts into tangible MVPs, PoCs, and production-ready systems that directly impact how Tenable customers manage their exposure.

We need a proactive problem-solver—someone who recognizes that the initial request isn't always the whole story. You will be expected to listen to the goal, ask the tough questions, and suggest creative alternatives if you see a better way. You are the type of engineer who pauses to ensure we’re solving the right problem before building the solution.

This is a highly autonomous role operating at the intersection of innovation and execution. You'll work on ambiguous, dynamic projects at the forefront of security research. You'll serve as both designer/architect and implementer, with your work ranging from rapid PoCs to full-production implementations, depending on project needs.

Your Opportunity:

• Drive technology transfer between organizations by building MVPs, PoCs, and production-ready implementations of novel security capabilities
• Design and architect solutions that bridge the gap between prototypes and scalable product systems that serve Tenable customers at scale
• Partner cross-functionally with researchers to deeply understand their innovations and with product teams to understand customer needs and technical constraints
• Operate autonomously on cutting-edge projects—translating strategic goals into concrete plans and execution with minimal direction
• Prototype rapidly to validate research concepts, then iterate toward production quality based on feedback and evolving requirements
• Navigate technical breadth across technical domains, picking up new technologies and concepts quickly as projects demand
• Make critical architecture decisions about what to build, how to build it, and when to pivot based on evolving understanding
• Communicate effectively across diverse audiences—explaining research concepts to product teams and product constraints to researchers
• Take ownership of projects end-to-end, from initial conception through delivery and handoff
• Collaborate with a small, high-impact team (3 ICs, 1 senior manager, 1 director/research architect) while engaging with the broader Research and Product organizations

What You'll Need:

• 5+ years of professional software engineering or security research experience
• B.S. degree in Computer Science, Cybersecurity, or related field, or equivalent work experience
• Deep expertise in at least one relevant security domain (e.g., Application Security, Vulnerability Management, Cloud Security, Container Security, Threat Intelligence, Software Supply Chain, Network Security, Cryptography), combined with broad general knowledge across security and engineering
• Demonstrably strong programming skills in multiple languages; comfortable picking up new technologies and tech stacks as projects require
• Proven track record of working autonomously—taking strategic direction and independently charting the technical path from architecture through implementation
• Experience designing systems that balance innovation with production constraints (reliability, scalability, maintainability)
• Experience building both rapid PoCs and production-grade systems; understanding when each approach is appropriate
• Strong cross-functional collaboration skills—ability to work effectively with both research-oriented and product-oriented teams
• Outstanding written and verbal communication skills; ability to explain complex technical concepts to diverse audiences
• Comfort with ambiguity and rapid context-switching; thrives in dynamic environments where requirements evolve
• Extreme curiosity and learning agility—genuine drive to understand how things work and explore new domains
• Pragmatic decision-making skills; knows when to prototype vs. polish, when to pivot vs. persist

And Ideally:

• Experience with vulnerability management platforms, particularly Tenable products (Nessus, Tenable One, Security Center)
• Familiarity with NASL (Nessus Attack Scripting Language) or willingness to learn
• Experience working in both research and product organizations; understanding of the different mindsets and priorities
• Background in security research or novel capability development
• Experience with AI/ML systems or emerging security technologies
• Open source contributions or published security research
• Experience with cloud platforms (AWS, Azure, GCP) and container technologies
• Skilled in presentation on complex topics at conferences, in blogs, or through technical papers

#LI-Remote #LI-LP1

ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen—fast.

The Opportunity

ZoomInfo has rebuilt around AI. We have the orchestration infrastructure, the tools platform, the intelligence layer. Now we need someone to turn that infrastructure into outcomes—someone who lives at the intersection of what's technically possible and what GTM teams actually need.

This role owns the agentic ecosystem: the core agents that power ZoomInfo's products, the Plays library that packages intelligence into deployable workflows, and the marketplace where customers discover, customize, and deploy automation. You'll build agents that book meetings, enrich pipelines, resurrect dead leads, and orchestrate multi-step GTM motions. Then you'll package them into Plays that non-technical users can deploy in clicks, not code.

You're not managing from the sidelines. You're building. You'll work in our Plays builder the way a RevOps leader works in their automation tools—hands-on, iterative, constantly shipping. You'll prototype agents, refine prompts, test orchestration patterns, and validate that what we build actually moves pipeline. When you identify a gap in what our agents can do, you'll partner with the tools and infrastructure teams to close it.

The marketplace you own is how ZoomInfo's agentic capabilities reach the world. Internal teams deploy your Plays across Copilot, GTM Studio, and MarketingOS. Customers browse, customize, and activate automation from your library. Partners and developers connect through MCP gateways you define. Every surface where ZoomInfo's agentic intelligence becomes accessible—you own it.

This is a rare role: part builder, part GTM strategist, part platform owner. You need to understand how SDR teams actually prospect, how marketing ops builds nurture flows, how CS teams identify expansion signals. Then you need to translate that understanding into agents and Plays that work reliably at scale. The infrastructure exists. The data exists. We need someone to turn it into the workflows that transform how GTM teams operate.

What You'll Do

Build Core Agents & Plays Design, build, and iterate on the agents and Plays that ship inside ZoomInfo's products. You'll work at multiple levels of abstraction: building agents from primitives when novel capabilities require it, composing existing agents into complex orchestrations, and packaging everything into Plays that non-technical users can deploy. This isn't spec-writing—you'll build in our Plays environment daily, testing what works and shipping what delivers.

Own the Plays Library Curate and expand ZoomInfo's library of pre-built GTM workflows. Identify high-value use cases through customer research, competitive analysis, and GTM intuition. Prioritize which Plays to build, define their logic and orchestration, validate they deliver measurable outcomes, and iterate based on adoption and performance data. The library is the product—its breadth, quality, and relevance determine whether customers see ZoomInfo as a data vendor or an automation platform.

Define the Marketplace Experience Own the customer-facing marketplace where users discover, evaluate, and deploy agentic workflows. Define the information architecture, discovery mechanisms, and activation flows that help users find the right Play for their use case. Balance curation with abundance—enough options to address diverse needs, enough guidance to prevent paralysis. Measure success through activation rates, time-to-value, and Play retention.

Translate GTM Expertise into Agentic Design The best agents encode deep understanding of the workflows they automate. Bring GTM operational expertise to agent design: How do top SDRs actually research accounts? What signals trigger effective outreach timing? How do marketing ops teams think about lead routing? Translate this knowledge into agent behaviors, Play logic, and orchestration patterns that feel like they were built by someone who's lived in RevOps.

Close the Loop with Platform Teams You're the voice of "what agents need to do" speaking to the teams building "what agents can do." When you discover that a critical GTM workflow requires a capability that doesn't exist, partner with the tools and infrastructure teams to prioritize it. When platform improvements unlock new possibilities, translate them into Plays that demonstrate value. You're the bridge between infrastructure leverage and customer outcomes.

What You'll Bring

• 6-15 years product management experience with 2+ years focused on GTM technology, workflow automation, or AI-powered products
• Direct experience building agentic workflows—you've shipped automation using tools like Relevance.ai, Lindy.ai, n8n, or similar no-code/low-code agent builders
• Hands-on familiarity with AI-assisted development (Claude Code, Cursor, or similar)—you prototype and build, not just specify
• Deep understanding of GTM operations: how sales, marketing, and success teams actually work, the tools they use, the metrics they track, the workflows they build
• Experience with complex workflow orchestration—multi-step, multi-system automation with branching logic, error handling, and human-in-the-loop patterns
• Track record shipping products where you personally built significant portions of the experience, not just managed engineers building it

Who You Are

Builder First You don't just write requirements—you build. You're comfortable in no-code workflow builders, and you reach for Claude Code or Cursor when you need to go deeper. You prototype to learn, ship to validate, and iterate based on what you discover. Your PRDs include artifacts you've built, not just wireframes someone else will implement.

GTM Operations Native You've lived in the world your users inhabit. You've built sequences in Outreach or Salesloft. You've configured lead routing in Salesforce or HubSpot. You've debugged why a Marketo program isn't firing. You understand the gap between how GTM workflows should work and how they actually work—the edge cases, the data quality issues, the human workarounds. This knowledge shapes every agent you design.

Agentic Workflow Intuition You understand what makes agents succeed or fail. You know how to write tool descriptions that guide reliable invocation. You've debugged orchestration flows where agents took unexpected paths. You think about failure modes, human oversight, and graceful degradation. You can look at a complex workflow and identify where it will break—then design around it.

Marketplace Product Sense You've thought about discovery, curation, and activation at scale. You understand that a library of 500 Plays is worthless if users can't find the right one. You think about information architecture, progressive disclosure, and the journey from "browsing" to "deployed and delivering value." You balance flexibility with guidance.

Customer Empathy with Technical Depth You can sit with a VP of Sales and understand their pipeline challenges, then translate that into agent specifications an ML engineer can build. You move fluidly between "we need to accelerate deal velocity" and "the agent needs to invoke the CRM lookup tool before the enrichment tool to avoid redundant API calls." You don't choose between business context and technical precision—you hold both.

Intellectual Curiosity The agentic landscape evolves weekly. You follow what's shipping—new agent frameworks, orchestration patterns, MCP developments, prompt engineering techniques. You try new tools not because it's your job but because you're genuinely curious about what's possible. You bring external learnings back to the team and challenge assumptions when better approaches emerge.

#LI-VC1

#LI-Hybrid

As a Principal Engineer on our Advertising, Company Intelligence, and Intent team, you’ll help design and implement the core systems that power our real-time marketing platform. From high-throughput ad infrastructure to large-scale identity resolution and intelligent systems enhanced by LLMs, push the boundaries of scale, intelligence, and speed—and deliver real-world business impact.

You’ll be joining a team with a broad range of ambitious, technically deep projects—from APIs that process tens of billions of events per day, to new buyer intent algorithms powered by LLMs, to a unified B2B identity graph. Depending on your strengths and interests, you’ll be matched to the initiatives where you can have the greatest impact.

This is a high-growth, high-ownership environment operating at the edge of what’s possible in modern software engineering, data infrastructure, and applied AI.

What You’ll Do

• Design and build distributed systems that process, enrich, and respond to billions of behavioral events per day in real time
• Develop high-performance APIs and services that support advertising, identity, and intent features across the Marketing Platform
• Leverage machine learning and large language models (LLMs) to analyze behavioral data, classify content, extract signals, and enable intelligent decision-making
• Build intelligent agents using frameworks like LangGraph or MCP to reason over data and power user-facing insights
• Design and operate data pipelines using tools like Kafka, Kinesis, and ClickHouse to support both streaming and batch workloads
• Drive quality, performance, scalability, and observability across all systems you own
• Collaborate cross-functionally with product managers, data scientists, and engineers to deliver customer-facing features and internal tooling
• Contribute to technical leadership and mentorship of teammates

What We’re Looking For

• 8+ years of backend, data, or infrastructure engineering experience, or equivalent impact and leadership.
  
  
• Strong experience in at least one of the following:
• Distributed systems engineering (e.g., building low latency high and throughput APIs, scalable microservices, event processing pipelines)
• Big data infrastructure (e.g., streaming, warehousing, low-latency storage at scale)
• Applied AI/ML, including use of LLMs for extraction, classification, or reasoning tasks
  
  
• Proficiency in one or more core languages: Java, Go, Python
• Solid grasp of SQL and large-scale data modeling
• Familiarity with databases and tools such as: ClickHouse, DynamoDB, Bigtable, Memcached, Kafka, Kinesis, Firehose, Airflow, Snowflake

AI-Native Development Mindset

• Comfortable using LLMs as part of your development workflow—whether via tools like Copilot, Cursor, ChatGPT, Claude, or others—to boost productivity, explore architecture ideas, and rapidly prototype.
  
  
• Skilled at designing and implementing LLM-powered systems such as RAG pipelines, agent frameworks (e.g., LangGraph), or intelligent workflows that reason across large datasets in real time.

Bonus Points

• Experience in ad tech, real-time bidding (RTB), or programmatic systems
• Background in identity resolution, attribution, or behavioral analytics at scale
• Contributions to open source in ML, infrastructure, or data tooling
• Strong product instincts and a passion for building tools that drive meaningful outcomes

#LI-SK1

#LI-Remote

About the Role:

We are seeking an experienced  Software Engineer III (Data) to join our fast-paced, collaborative data team. In this role, you will have broad authority to drive the direction of our technographic data services, building world-class data pipelines and systems to process billions of signals and data points. This is an exciting opportunity to solve challenging problems and make a big impact as we invest in making technographics a first-class offering.

What You'll Do:

• Build and optimize big data pipelines to extract and process signals from the web, job postings, and other sources
• Design and implement data architectures and storage solutions to efficiently handle massive data volumes
• Collaborate closely with data scientists to support and integrate ML models into data workflows
• Continuously improve data quality, performance, and scalability of our technographic data platform
• Drive technical strategy and roadmap for the data processing infrastructure.

What We're Looking For:

• Extensive experience building and scaling big data pipelines and architectures from scratch
• Deep expertise in big data frameworks (Hadoop, Spark) and the JVM stack (Java, Scala)
• Strong software engineering fundamentals and ability to write efficient, high-quality code
• Experience with entity recognition and NLP techniques a plus
• Proven track record delivering results and driving projects in a fast-paced environment
• Excellent collaboration and communication skills to work with data scientists, analysts and product teams
• Passion for leveraging huge datasets to power valuable insights.

Ideal Background:

• 5+ years of experience in software engineering roles.
• Experience working with very large datasets and distributed systems
• Familiarity building data pipelines at large tech companies or data-driven organizations
• Bachelor's or advanced degree in Computer Science, Engineering or related technical field.

#LI-SK1

#LI-Hybrid

NetSage's mission is to help our customers achieve their missions by providing superior cyber services. We seek talented professionals who are interested in doing meaningful, mission-focused work for the U.S. Federal Government. We are a growing Company that puts our employees first and offers excellent pay and world-class benefits. We do not hire contract by contract; instead, we offer multiple job options and career progression for our employees. We realize that our website and job descriptions may be a little vague and that's on purpose because of the customers we support. Please connect with us using our Contact Us page if you have any questions about any of our job-openings.

We are seeking a motivated Artificial Intelligence (AI) Engineer with a proven track record in software engineering and a deep understanding of Artificial Intelligence/ Machine Learning (AI/ML) techniques to support an exciting new AI and Emerging Technologies (AI&ET) mission. In this role, you will work closely with mission stakeholders to capture requirements, aid in structured planning, and improve processes by introducing AI/ML tooling. Additionally, you will use AI/ML to develop tools and techniques to include fine tuning Large Language Models (LLM) that assist in enhanced identification and mitigation capabilities. The ideal candidate for this position will be able to work closely with technical leadership to design, develop, and maintain LLM orchestration frameworks; develop and optimize data for LLM consumption; and be experienced working in Python. Please consider applying if you meet the following qualifications. 

Required Qualifications:

• TS/SCI with polygraph security clearance.
• A Bachelor of Science (B.S.) degree in computer science or a related STEM discipline and five (5) years or relevant experience is required. A Doctoral degree (PHD) and no experience, a Master of Science (M.S.) degree and three (3) years, or an Associate of Science (A.S.) degree and seven (7) years of experience is also acceptable. 
• Proficiency with object-oriented languages like Python.
• Familiarization with LLM integration and data engineering. 
• Familiarization with static analyzers, Retrieval-Augmented Generation (RAG) framework, and relational and vector databases.
• Familiarization with Agile, Git, Jira, and Confluence. 
• Must be capable of working with systems engineers to architect and deploy networked AI tools within secure enclaves and conduct performance profiling, optimization, and scalability analysis of mission systems.
• Must be capable of supporting security assessments and authority to operate (ATO) processes.

Desired Qualifications:

• Familiarity with RUST, Claude Code, Codex, and Continuous Integration and Continuous Delivery/Deployment (CI/CD) practices. 

NetSage's mission is to help our customers achieve their missions by providing superior cyber services. We seek talented professionals who are interested in doing meaningful, mission-focused work for the U.S. Federal Government. We are a growing Company that puts our employees first and offers excellent pay and world-class benefits. We do not hire contract by contract; instead, we offer multiple job options and career progression for our employees. We realize that our website and job descriptions may be a little vague and that's on purpose because of the customers we support. Please connect with us using our Contact Us page if you have any questions about any of our job-openings.

We are seeking a Senior Artificial Intelligence (AI) Engineer with a proven track record in software engineering and a deep understanding of Artificial Intelligence/ Machine Learning (AI/ML) techniques to support an exciting new AI and Emerging Technologies (AI&ET) mission. In this role, you will work closely with mission stakeholders to capture requirements, aid in structured planning, and improve processes by introducing AI/ML tooling. Additionally, you will use AI/ML to develop tools and techniques to include fine tuning Large Language Models (LLM) that assist in enhanced identification and mitigation capabilities. The ideal candidate for this position will have demonstrable experience designing, developing, and maintaining LLM orchestration frameworks; experience developing and optimizing data for LLM consumption; and have a strong proficiency working in Python. Please consider applying if you meet the following qualifications. 

Required Qualifications:

• TS/SCI with polygraph security clearance.
• A Bachelor of Science (B.S.) degree in computer science or a related STEM discipline and eight (8) years or relevant experience is required. A Doctoral degree (PHD) and four (4) years, a Master of Science (M.S.) degree and six (6) years, or an Associate of Science (A.S.) degree and ten (10) years of experience is also acceptable. 
• Strong proficiency with object-oriented languages like Python.
• Experience with LLM integration and data engineering. 
• Experience with static analyzers, Retrieval-Augmented Generation (RAG) framework, and relational and vector databases.
• Familiarization with Agile, Git, Jira, and Confluence.
• Must be capable of working with systems engineers to architect and deploy networked AI tools within secure enclaves and conduct performance profiling, optimization, and scalability analysis of mission systems.
• Must be capable of supporting security assessments and authority to operate (ATO) processes.

Desired Qualifications:

• Familiarity with RUST, Claude Code, Codex, and Continuous Integration and Continuous Delivery/Deployment (CI/CD) practices. 

Overview

We are seeking a Deep Learning Software Developer to support projects at the Applied Clinical Informatics Branch (ACIB), Lister Hill National Center for Biomedical Communications (LHNCBC), National Library of Medicine (NLM), National Institutes of Health (NIH). This position involves applying deep learning techniques to biomedical images and clinical data for clinical decision-making and prediction. The role focuses on the development of tools for retinal disease detection, severity classification, disease progression prediction, and more. The ideal candidate will have a strong background in deep learning, particularly for medical image analysis, and experience with high-performance computing environments.

Overview

Black Canyon Consulting (BCC) is actively looking for a skilled Hashicorp Vault Application Engineer/Administrator to join our team, focusing on the design and implementation of on premises and cloud HashiCorp Vault clusters. You will play a critical role in ensuring secure secret management, identity-based access, and seamless integration within our onprem and cloud-native (AWS and GCP) hybrid infrastructure. This position requires expertise in Hashicorp Vault, and Zero Trust security principles, along with a passion for building reliable and scalable systems. This opportunity is full time and onsite at the NIH-NCBI in Bethesda, MD and/or remote work. 

NCBI is part of the National Library of Medicine (NLM) at NIH. NCBI is the world’s premier biomedical center hosting over six million daily users that seek research, clinical, genetic, and other information that directly impacts biomedical research and public health – at NCBI you can literally help to accelerate cures for diseases! NCBI’s wide range of applications, platforms (node, python, Django, C++, you name it) and environments (big data [petabytes], machine learning, multiple clouds) serve more users than almost any other US Government Agency according to https://analytics.usa.gov/. 

We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, and tuition and conference reimbursement. If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!