ZoomInfo is seeking a Principal Product Manager, Company Data to lead our company data strategy and execution, focusing on delivering our next generation company/account data creation pipeline. In this role, you'll own end-to-end product strategy for company data that serves millions of users and drives billions in revenue, working at the intersection of data science, large-scale data processing, and customer-facing experiences.

The Principal PM, Company Data will define multi-year vision while delivering measurable improvements month-over-month. This role is critical to maintaining ZoomInfo's competitive advantage in company intelligence by continuously raising the bar on data quality, coverage, and customer value.

What You'll Do (Essential Functions)

• Own end-to-end product strategy for company data, defining vision, roadmap, and success metrics aligned with company objectives
• Identify and prioritize high-impact opportunities that improve company data quality, expand coverage, or unlock new customer use cases
• Drive new data source integration for company attributes, including evaluation, negotiation, and productization of 3rd party partnerships
• Build scalable frameworks for company data enhancement, quality monitoring, and continuous improvement including resolution of critical data quality issues
• Define and track metrics that measure company data coverage, accuracy, freshness, and customer adoption
• Partner with engineering and data science to solve complex technical problems in company matching, hierarchies, entity resolution, and data pipelines
• Lead product discovery initiatives using customer interviews and data analysis to uncover true customer pain points beyond surface-level feedback
• Create comprehensive documentation, enablement materials, and objection handling frameworks that enable internal and customer-facing teams to understand and communicate company data value
• Lead go-to-market initiatives, partnering with product marketing and sales to position, message, and monetize company data improvements

What You Bring

Required Qualifications

• 8+ years of product management experience with at least 4+ years focused on data products, data platforms, or data-intensive B2B SaaS
• Proven track record of shipping impactful data products that improve quality, expand coverage, or unlock new use cases
• Deep technical understanding of data pipelines, data quality frameworks, entity resolution, data modeling, and/or machine learning applications
• Strong understanding of company data, firmographics, hierarchies, and business intelligence domains
• Cross-functional leadership with proven ability to influence engineering, data science, operations, and GTM teams without formal authority
• Strong analytical skills with ability to independently define metrics, analyze data, and make data-driven decisions
• Excellent communication skills with ability to explain complex technical concepts to diverse audiences and develop comprehensive documentation
• B2B SaaS experience, preferably in enterprise data products, APIs, or data-as-a-service offerings

Preferred Qualifications

• Background in data science, engineering, or analytics prior to product management
• Experience in high-scale data processing environments (billions of records, complex entity resolution)
• Familiarity with DaaS platforms, data marketplaces, customer enablement, or technical documentation
• Knowledge of data privacy regulations (GDPR, CCPA) and their product implications
  
  

#LI-VC1
#LI-Hybrid

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. 

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. 

How You'll Make an Impact:

As a Sales Manager, you'll play a pivotal role in expanding Cloudbeds' presence. You will be responsible for identifying and acquiring new business opportunities, building strong relationships with prospects, and showcasing how Cloudbeds’ industry-leading SaaS solutions are transforming the hospitality space. This is a hunting role focused on acquiring new clients.

What You Bring to the Team:

• Assess market trends and opportunities in your assigned territory to identify and engage new prospects.
• Prepare targeted lead lists and engage in proactive outreach, including a high volume of cold-calling, to drive sales.
• Identify and communicate potential partnership opportunities to our Partnerships team to strengthen Cloudbeds’ market position. 
• Deliver impactful product demonstrations, both virtually and in person, to highlight how Cloudbeds can solve key challenges for hospitality businesses.
• Attend local events and visit properties to connect with potential customers (less than 10% travel required).
• Serve as the face of Cloudbeds in your local market, representing the brand with confidence and expertise.

What Sets You Up for Success:

• A self-motivated, results-oriented mindset with a passion for business development.
• Experience in selling technology solutions into the hotel or hospitality industry
• Excitement for new technology with a strong technical aptitude.
• Proven expertise in outbound sales strategies, especially cold-calling and network building.
• Excellent communication skills, with the ability to inspire and persuade potential clients.
• Demonstrated sales and negotiation skills, with a history of exceeding targets.
• Strong organizational and time-management abilities.
• A willingness to challenge the status quo and think outside the box to drive success.

Bonus Skills to Stand Out:

• Good knowledge of PMS technology
• Operational experience in the hospitality or lodging industry
• Multilingual capabilities

#LI-AC2

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

CSQ227R175

PLEASE NOTE:
Due to federal contract requirements and client site access obligations, U.S. government Top Secret clearance is required to access classified information. The position is based in the Washington, D.C., Maryland, or Virginia metropolitan area and includes periodic on‑site work and client collaboration. Candidates with an active Secret or higher clearance are strongly encouraged to apply.

As a Resident Solutions Architect (RSA) on our Professional Services team, you will work with customers on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.

The impact you will have:

• Handle a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
• Work with engagement managers to scope variety of  professional services work with input from the customer
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Provide an escalated level of support for customer operational issues
• Collaborate with the Databricks Technical, Project Manager, Architect and Customer teams to ensure the technical components of the engagement are delivered to meet customer's needs
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues

What we look for:

• US Top Secret Clearance Required TS/SCI Preferred this position
• 6+ years experience in data engineering, data platforms & analytics
• Comfortable writing code in either Python or Scala
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps
• Design and deployment of performant end-to-end data architectures
• Experience with technical project delivery - managing scope and timelines
• Documentation and white-boarding skills
• Experience working with clients and managing conflicts
• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Ability to travel up to 30% when needed

What Impact You'll Have

GRVTY is seeking a Course Developer-Instructor for Operational Electronic Intelligence Signals Analysis (OpELINT) to support the development and delivery of advanced Operational Electronic Intelligence Signals Analysis (OpELINT) training.

 What You'll be Owning

The Course Developer-Instructor for Operational Electronic Intelligence Signals Analysis (OpELINT) is responsible for course development and instruction of analysis on intelligence derived from a variety of sources. You will be responsible for:

• Soliciting and receiving course feedback from students and other people and timely incorporating appropriate feedback into courses and presentations.
• Maintaining expertise in OpELINT.
• Developing new OpELINT courses, modules, and presentations while ensuring the accuracy and currency of existing ones.
• Using good communication skills when working with others in the development, presentation.
• Updating of OpELINT teaching and course material.

What You Must Have

The OpELINT Training Content Developer-Instructor must possess the following:

• Bachelor’s Degree (or higher) in a technical science major (Engineering, Mathematics, Computer Science, Physical Sciences, or comparable area).
• 8 or more years of OpELINT experience (within the past 15 years).
• Experience with one or both of the following:
  • Python coding;
  • Machine Learning.
• If the candidate does not have a Bachelor’s Degree (or higher) in a technical science major (Engineering, Mathematics, Computer Science, Physical Sciences, or comparable area):
  • 8 or more years of OpELINT experience (within the past 15 years); and
  • Prior successful completion of Course SIGP2500 “Introduction to Operational PROFORMA Fusion.”
• TS/SCI Clearance and Polygraph

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

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

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

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

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

Key Responsibilities Include:

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

Experience & Background

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

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

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

Title: Rackner AI Innovation Fellowship (Startup Accelerator Internship)

Location: College Park (Hybrid – ~50% Minimum In-Person)

 Who We Are

Rackner is a cloud-native software consultancy delivering innovative solutions for startups, enterprises, and the public sector. We are a fast-growing, mission-driven organization focused on solving complex challenges through cutting-edge technologies.

Our expertise spans end-to-end application development, DevSecOps, AI/ML, and systems architecture, with a strong emphasis on cloud-first and cost-effective innovation. We partner with organizations ranging from early-stage startups to large federal agencies, enabling digital transformation and delivering high-impact, scalable solutions.

Position Overview

The Rackner AI Innovation Fellowship is a hands-on research and development program designed to explore and build next-generation solutions using artificial intelligence, cloud computing, and emerging technologies.

This fellowship offers a unique opportunity for students and early-career technologists to work in a startup-like environment while gaining real-world experience developing impactful solutions aligned with Rackner’s mission.

The program runs year-round, with:

• Part-time participation during the academic year
• Full-time engagement during the summer

Fellows will work in collaborative teams (ideally groups of 2–3 participants) to take ideas from concept to prototype, focusing on real-world applications, scalability, and measurable impact. Teams that already have strong working relationships are encouraged to apply together.

Each team will receive funding for cloud infrastructure and AI tools to support development. At the conclusion of the program, teams will present their solutions, findings, and working prototypes to Rackner leadership.

Key Responsibilities

• Collaborate in small teams to design, develop, and prototype innovative AI/ML and cloud-based solutions
• Conduct research on emerging technologies, including LLMs, cloud platforms, and cybersecurity frameworks
• Build and deploy applications using modern cloud platforms (AWS, Azure, or GCP)
• Develop proof-of-concept solutions with measurable impact
• Apply software engineering best practices (version control, testing, documentation)
• Analyze technical feasibility and potential business value of solutions
• Present findings, demos, and final prototypes to leadership
• Manage project timelines and contribute to team-based innovation

Focus Areas

• Large Language Models (LLMs) and AI-enabled applications
• Cloud-native development and distributed systems
• Cybersecurity and secure system design
• B2B platforms and enterprise solutions
• Government and public sector technology

Qualifications (Required)

• Must reside in a HUBZone
  (Verify eligibility: https://maps.certify.sba.gov/hubzone/map)
• Ability to participate in a hybrid model (~50% in-person in College Park)
• Currently enrolled student or recent graduate in a relevant field

Preferred Qualifications

• Background in Computer Science, Software Engineering, Data Science, or Business
• Strong preference for candidates with software development experience
• Experience with programming languages such as Python, JavaScript, or Java
• Familiarity with AI/ML tools (TensorFlow, PyTorch, HuggingFace)
• Knowledge of cloud platforms (AWS, Azure, GCP)
• Understanding of APIs, microservices, or distributed systems

Candidate Profile (What We’re Looking For)

• HUBZone candidates strongly encouraged to apply
  (Goal: Build a cohort of at least 9 HUBZone participants, including current interns)
• Team-oriented applicants
• Preference for candidates applying in teams of 2–3
• Teams with prior working relationships or strong collaboration experience are highly encouraged
• Balanced technical + business mindset
• Ideal team composition: 2 technical (software-focused) + 1 business-oriented member
• Candidates with business, product, or entrepreneurial experience are a plus
• High energy and motivation
• Demonstrated strong work ethic
• Passion for innovation, problem-solving, and building new solutions
• Ability to thrive in fast-paced, ambiguous, startup-like environments

 Startup Accelerator Opportunity

Participants will have the opportunity to convert their project into a startup by buying back their intellectual property (IP) in exchange for equity, creating a direct pathway from fellowship to entrepreneurship.

Additional Benefits

• Industry-leading weekly pay schedule
• Hybrid work environment with strong in-person collaboration
• Access to cutting-edge AI tools and cloud resources
• Professional development and certification support
• Opportunity to build real-world portfolio projects
• Exposure to startup and enterprise innovation
• Home office support

Why Join Rackner?

This fellowship is more than an internship, it’s an opportunity to innovate, build, and potentially launch your own venture while working on impactful technologies that support both commercial and federal missions.

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.

The Senior Manager Internal Audit - IT is a strategic transformation leader responsible for the organization’s technology risk landscape. This role goes beyond traditional oversight; you will act as a technologist within the audit function, leveraging AI and data science to automate control environments while ensuring the digital backbone of our global operations—including Manufacturing and M&A integrations—remains secure, compliant, and efficient.

Individual contributor with significant leadership and cross-functional influence

Responsibilities: 

Innovation, AI & Audit Transformation

• AI-Enabled Control Testing: Architect and implement AI/Machine Learning models to transition from manual sample-based testing to 100% population testing.
• Annual SOX Audit: Lead SOX IT control design and operating effectiveness including identification of gaps, operating deficiencies, remediation plan and partnership with process owners to optimize control environment 
• Audit Workflow Automation: Leverage Generative AI and Robotic Process Automation (RPA) to automate the documentation of walkthroughs, drafting of audit reports, and the mapping of controls to regulatory frameworks.
• Continuous Control Monitoring (CCM): Partner with IT to build real-time dashboards that monitor key risk indicators (KRIs), moving the department toward a "continuous audit" model.
• Predictive Risk Insights: Use data signals to identify emerging risks in the Quote-to-Cash and Manufacturing cycles before they manifest as material weaknesses.
• Lead the development of automated risk-sensing capabilities and Key Risk Indicators (KRIs) within the ERM framework, leveraging data analytics to provide real-time assurance over tech-stack dependencies and third-party vendor ecosystems

Business Process & Systems Excellence

• Automated Control Testing: Review the automated controls within core value streams such as Quote-to-Cash (Q2C) and Procure-to-Pay (P2P) to ensure data integrity and system reliability.
• Annual SOX Audit: Lead SOX control design and operating effectiveness including ITGC’s,  identification of gaps, operating deficiencies, remediation plan and partnership with process owners to optimize control environment
• SDLC & Implementation: Perform pre- and post-implementation reviews for major system upgrades or ERP deployments to prevent "go-live" control failures.

Business Combinations & M&A Integration

• IT Due Diligence: Lead IT-focused risk assessments for business combinations, evaluating the target company’s security posture and control maturity.
• Post-Merger Integration (PMI): Direct the integration of acquired entities into the corporate Internal Control Framework (COSO), managing the risks associated with data migration and system cutovers.

SOX & Regulatory Compliance (GovCon Focus)

• ITGC Ownership: Lead the testing of IT General Controls (ITGC) and IT Application Controls (ITAC) for SOX 404 compliance.
• Regulatory Standards: Ensure IT systems meet stringent government contracting standards, including NIST 800-171, CMMC, and FAR/DFARS requirements.

You’d be a good fit with: 

Experience & Education

• Education: Bachelor’s degree in Management Information Systems (MIS), Computer Science, or Accounting.
• Experience: 8–10+ years of progressive experience in IT Audit, IT Risk, or Cyber Consulting (Big 4 or large-scale complex corporate environments preferred).

Technical & Professional Skills

• Certifications: CISA required. CISSP, CRISC, or CISM highly preferred.
• Framework Mastery: Deep understanding of COBIT, NIST, ISO 27001, and the COSO Internal Control Framework.
• Influencing Without Authority: Exceptional "executive presence" with the ability to translate complex "tech-speak" into actionable business risks for senior leadership and IIA Standards.

You’d be a great fit with:

• M&A Track Record: Proven experience managing IT control transitions during business combinations or system consolidations.
• Industry Savvy: Strong background in manufacturing or organizations engaged in government contracting.“Nice-to-haves” / desired or preferred experience
• Modern Audit Toolkit: Hands-on experience with SQL, Python, or AI-based audit tools (e.g., Alteryx, MindBridge, or custom GPT agents). 
• Systems & Data: Proficiency in ERP systems (Netsuite/Oracle, Snowflake/DataBricks)

Location: College Park, MD
Travel: Up to 25% 
Job ID: 1383

The approximate base salary range for this position is $128,445 - $167,497. The total compensation package includes base, bonus, and equity.

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

Responsibilities:

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

You’d be a good fit with:

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

You’d be a great fit with:

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

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

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

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

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

Responsibilities:

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

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

You’d be a good fit with: 

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

You’d be a great fit with: 

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

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

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

What You’ll be Owning:

• We are seeking a Data Scientist to support our NLP project focused on accurate and automatic tokenization of language data from spoken or written sources. In this role, you will develop automated solutions for annotating language data with parts of speech information and enhance existing models by evaluating their performance against human-generated annotations for both speech and text. Your contributions will be crucial in advancing our NLP capabilities and ensuring high-quality language processing.

What You Must Have:

• Bachelor’s Degree with 10 years of relevant experience
• Associates degree with 12 years of relevant experience
• Bachelor’s Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning)  and/or computer science (e.g. algorithms, programming, , data structures, data mining, artificial intelligence).  College-level requirement, or upper-level math courses designated as elementary or basic do not count. Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.
• Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred.
• Active TS/SCI w/ poly

What Would Be Nice to Have:

• Employ some combination (2 or more) of the following skill areas:
• Foundations: (Mathematical, Computational, Statistical)
• Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility)
• Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations)
• Devise strategies for extracting meaning and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in Government data holdings. Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting Government collection, processing, storage and analytic capabilities and limitations.

#LI-SM1

What Impact You'll Have

• We are actively searching for Data Scientists, located in Maryland, to support our team. We have varying levels of Data Scientist roles, depending on years of experience and education.
• The ideal candidate should possess expertise in AI/ML, proficiency in Python, and hands-on experience with deep learning frameworks such as PyTorch and TensorFlow, with an added advantage if they have cyber knowledge. This role combines artificial intelligence and machine learning skills with a strong foundation in programming and cybersecurity.

What You'll be Owning

• Foundations: (Mathematical, Computational, Statistical) 2. Data Processing: (Data management and curation, data description and visualization, workflow, and reproducibility)
• Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations)
• Devise strategies for extracting meaning and value from large datasets.
• Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge.
• Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in NSA/CSS data holdings.
• Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data.
• Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting NSA/CSS collection, processing, storage and analytic capabilities and limitations.

What You Must Have

• Bachelor’s Degree with 3 years of relevant experience or an Associates degree with 5 years of relevant experience  
• Bachelor’s Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning)  and/or computer science (e.g. algorithms, programming, , data structures, data mining, artificial intelligence).  College-level requirements, or upper-level math courses designated as elementary or basic do not count.  Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.
• Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python)), statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g., data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred. 
• Active TS/SCI with a polygraph 

#LI-SM1

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

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

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

FEQ227R208

Candidates in the listed region are encouraged for this role, we are open to remote candidates with a preference in the North East or Midwest at one of our office hubs.  

Mission

Reporting to a Director, Field Engineering, the Sr. Manager, Field Engineering will help lead a team of Solutions Architects (SAs) for the Financial Services segment of Databricks’ Regulated Industries Field Engineering team. You will lead and promote a diverse team focusing on enterprise software, big data/analytics, data engineering, data science, data warehousing and generative AI. Leading the technical sales team, you will partner with Sales (and other Field Engineering technical segments) to increase revenue and help customers achieve success through Databricks’ Data Intelligence Platform. You wil scale and maintain an outstanding Field Engineering team that is efficient in its operations to help accelerate Databricks' growth in the market.

The Impact You Will Have

• You will hire, train, and grow a team of Solutions Architects for a company in high-growth mode
• Make your customers extremely successful with Databricks and provide outsized value to their businesses
• You will maintain a robust hiring pipeline of highly qualified, bar-raising candidates
• You will establish relationships across the business to make your customers and team successful
• You will keep your team of SAs ahead of the technical curve by ensuring they maintain advanced knowledge of the Databricks technology stack
• You will ensure that your team is continuously learning and working to provide our customers with the most comprehensive solutions for their needs

What We Look For

• Proven experience building and leading technical pre-sales teams - hiring, on-boarding, coaching and mentoring those teams to mature and grow into highly capable individual operators as well as exceptional team-players
• 10+ years of experience in the data space with a technical product (i.e. data warehousing, big data, machine learning, or more recently with generative AI)
• Trusted advisor to technical executives that guide strategic data infrastructure decisions
• Lead a team through best practices for technical qualification, technical validations, architecture discussions, and product demonstrations
• Establish and foster external partnerships with systems integrators (SIs) and independent software vendors (ISVs) that maximize and accelerate client success
• Strong understanding of consumption-driven business models and the recipes for long term growth and success
• Experience hiring candidates that continually raise the bar, ramping them up to be successful, and promoting into larger roles
• Create a positive culture and morale for the team - fostering strong working relationships between Field Engineering, Sales, and other important internal cross-functional teams
• Experience working cross-functionally with other teams such as Sales, Product Management, Engineering, and Customer Success
• Must be technical enough to earn the trust of Engineering talent and leadership at Databricks
• Ability to influence and review complex architectures; guiding your team and customers towards ideal solutions - that scale

FEQ427R261

Mission

We are seeking a Sr. Manager, Solutions Architects (SAs) to lead our Intelligence Community (IC), Navy, Air Force and Space Force team. You will lead and promote a dynamic team focusing on enterprise software, big data/analytics, data engineering, data science, data warehousing and generative AI. Leading the technical sales team, you will partner with Sales (and other Field Engineering technical segments) to increase revenue and help customers become wildly successful. You'll scale and maintain an outstanding Field Engineering team that operates efficiently to help accelerate Databricks' market growth.

The Impact You Will Have

• Alongside the Sales Director, you will set the vision and strategy for how this team will accelerate transformative outcomes for our IC and DoW customers
• You will hire, train, lead and grow the Solutions Architect team for a company in high-growth mode.
• Help your customers achieve exceptional success with Databricks and deliver substantial value to their businesses.
• You will maintain a robust hiring pipeline at all times.
• Establish relationships across the business to make your customers and team successful.
• Keep your team of SAs ahead of the technical curve. An SA adds value by maintaining advanced knowledge of the technology stack. You will make sure that your team is continuously learning and working to provide our customers with the most comprehensive solutions for their needs

What We Look For

• Proven experience building and leading technical pre(or post)-sales teams - hiring, on-boarding, and enabling pre(or post)-sales professionals
• 5+ years of experience in the data space with a technical product (i.e. data warehousing, big data, machine learning, or more recently with generative AI).
• Alternatively, 5+ years of experience in mission-focused space impacting the IC or DoW from a technology perspective
• Trusted advisor to technical executives that guide strategic data infrastructure decisions.
• Lead a team through best practices for technical qualification, technical validations, architecture discussions, and product demonstrations.
• Strategic mindset focused on driving customer outcomes in an accelerated fashion
• Experience hiring candidates that continually raise the bar, ramping them up to be successful, and promoting into larger roles.
• Create a positive morale for the team and help foster a working relationship between Field Engineering, Sales, and other important internal cross-functional teams.
• Experience working cross-functionally with other teams such as Sales, Product Management, Engineering, and Customer Success.
• Technical and business skills to earn the trust of Engineering talent and leadership at Databricks.
• Demonstrated architectural influence. Able to influence and review complex architectures; guiding your team and customers towards ideal solutions - that scale.

FEQ127R326

Mission

Solutions Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Field Engineering Manager for the team.

The impact you will have:

• Partner with the sales team to help customers understand how Databricks can help solve their business problems
• Provide technical leadership for customers to evaluate and adopt Databricks
• Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications
• Build and present references architectures, how-tos, and demo applications for customers
• Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars
• Travel to customers in your region

What we look for:

• 8+ years in a customer-facing pre-sales, technical architecture, or consulting role
• Experience designing and architecting distributed data systems
• Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R
• Experience supporting Public Sector clients
• Have built solutions with public cloud providers such as AWS, Azure, or GCP
• Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Data Warehousing (Ex: SQL, OLTP/OLAP/DSS)
• [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
• US Citizen

FEQ127R165

Mission

Solutions Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Field Engineering Manager for the team.

The impact you will have:

• Partner with the sales team to help customers understand how Databricks can help solve their business problems
• Provide technical leadership for customers to evaluate and adopt Databricks
• Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications
• Build and present references architectures, how-tos, and demo applications for customers
• Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars
• Travel to customers in your region

What we look for:

• 5+ years in a customer-facing pre-sales, technical architecture, or consulting role
• Experience designing and architecting distributed data systems
• Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R
• Experience supporting Public Sector clients
• Have built solutions with public cloud providers such as AWS, Azure, or GCP
• Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Data Warehousing (Ex: SQL, OLTP/OLAP/DSS)
• [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
• US Citizen

FEQ127R5

Mission

Solutions Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Field Engineering Manager for the team.

The impact you will have:

• Partner with the sales team to help customers understand how Databricks can help solve their business problems
• Provide technical leadership for customers to evaluate and adopt Databricks
• Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications
• Build and present references architectures, how-tos, and demo applications for customers
• Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars
• Travel to customers in your region

What we look for:

• 8+ years in a customer-facing pre-sales, technical architecture, or consulting role
• Experience designing and architecting distributed data systems
• Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R
• Experience supporting Public Sector clients
• Have built solutions with public cloud providers such as AWS, Azure, or GCP
• Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Data Warehousing (Ex: SQL, OLTP/OLAP/DSS)
• [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
• US Citizen

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. 

Are you a driven college student eager to make a real impact at a cutting-edge technology company? Xometry's Summer Internship Program offers a unique opportunity to gain hands-on experience and develop essential skills in the manufacturing industry.

As a Machine Learning Intern at Xometry, you’ll work on real-world projects that directly impact our AI-driven solutions, collaborate with experienced machine learning engineers, and learn how to build and deploy models that solve complex problems in a dynamic and fast-paced environment.

What You'll Do:

• Design, build, and optimize machine learning models to enhance Xometry’s platform and business operations.
• Analyze large datasets to extract meaningful patterns and insights.
• Collaborate with cross-functional teams to integrate machine learning models into production systems.
• Learn and apply best practices in model evaluation, performance tuning, and deployment.
• Gain exposure to cutting-edge machine learning frameworks, tools, and techniques used in the manufacturing industry.

What We Offer:

• Mentorship: Learn from experienced professionals and receive guidance from a dedicated intern captain.
• Dynamic Culture: Embrace a fast-paced, collaborative environment that values innovation and flexibility.
• Professional Development: Gain practical skills in digital marketing, social media, content marketing, and more.

What We’re Looking For:

• Academic Excellence: Currently enrolled in an accredited college or university, graduating in December 2026 or May 2027, with a minimum 3.5 GPA.
• Strong Work Ethic: Ability to work full-time (40 hours/week) during the internship period (June 8 - August 14, 2026).
• Excellent Communication Skills: Strong verbal and written communication skills.
• Entrepreneurial Spirit: A passion for problem-solving and a desire to drive results.
• Legal Authorization: Ability to provide proof of legal right to work in the United States.
• Location Requirement: Ability to commute to our North Bethesda, MD or Waltham, MA office to work onsite for at least 3 days a week.
• Provide Unofficial Transcript

The estimated base pay rate for new hires into this role is $27.00 per hour depending on factors such as job-related skills, relevant experience, and location. This is a temporary position.

#LI-Hybrid

Overview

Black Canyon Consulting (BCC)  is searching for a Senior Software Developer to support the National Center for Biotechnology Information (NCBI). This opportunity is full time and onsite at the NCBI in Bethesda, MD and/or remote work.

The National Center for Biotechnology Information (NCBI) is part of the National Library of Medicine (NLM) at the National Institutes of Health (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 reimbursement. If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!

Job Description

Overview

Black Canyon Consulting (BCC) is actively looking for Project Manager for SRA to support our work for the National Center for Biotechnology Information (NCBI) at the National Library of Medicine (NLM), an institute of the National Institutes of Health. 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!

Overview

Black Canyon Consulting (BCC) seeks a AI/Machine Learning Specialist that will lead design and deployment of AI/ML models that advance MC&FP’s mission outcomes while ensuring ethical and compliant use.

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!

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!

Overview

Black Canyon Consulting (BCC) is searching for a Sr. Full Stack Developer  to support our work for the National Center for Biotechnology Information (NCBI) at the National Library of Medicine (NLM), an institute of the National Institutes of Health. This opportunity is full time and onsite at the NIH-NCBI in Bethesda, MD and/or remote work.

The National Center for Biotechnology Information (NCBI) is part of the National Library of Medicine (NLM) at the National Institutes of Health (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/.

Overview

Black Canyon Consulting (BCC) is searching for a Full Stack Developer - Python/Django/ReactJS to support our work for the National Center for Biotechnology Information (NCBI) at the National Library of Medicine (NLM), an institute of the National Institutes of Health. This opportunity is full time and onsite at the NIH-NCBI in Bethesda, MD and/or remote work.

The National Center for Biotechnology Information (NCBI) is part of the National Library of Medicine (NLM) at the National Institutes of Health (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/.

You will join NCBI’s team of web developers and software engineers to build robust, flexible web applications, APIs, and services. This role calls for an expert web developer – with knowledge and experience in modern web development, testing, UI design and usability principles, and ability to work effectively with user researchers, designers, product managers, scientists, security and DevOps engineers

Overview

Black Canyon Consulting (BCC) is searching for a Full Stack Developer - Python/Django/ReactJS to support our work for the National Center for Biotechnology Information (NCBI) at the National Library of Medicine (NLM), an institute of the National Institutes of Health. This opportunity is full time and onsite at the NIH-NCBI in Bethesda, MD and/or remote work.

The National Center for Biotechnology Information (NCBI) is part of the National Library of Medicine (NLM) at the National Institutes of Health (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/.

You will join NCBI’s team of web developers and software engineers to build robust, flexible web applications, APIs, and services. This role calls for an expert web developer – with knowledge and experience in modern web development, testing, UI design and usability principles, and ability to work effectively with user researchers, designers, product managers, scientists, security and DevOps engineers

Overview

Black Canyon Consulting (BCC) is actively looking for a mid-level Full Stack Developer (C++) to support our work for the National Center for Biotechnology Information (NCBI) at the National Library of Medicine (NLM), an institute of the National Institutes of Health. This opportunity is full time and onsite at the NIH-NCBI in Bethesda, MD and/or remote work.

The National Center for Biotechnology Information (NCBI) is part of the National Library of Medicine (NLM) at the National Institutes of Health (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/.

You will join NCBI’s team of web developers and software engineers to build robust, flexible web applications, APIs, and services. This role calls for an expert web developer – with knowledge and experience in modern web development, testing, UI design and usability principles, and ability to work effectively with user researchers, designers, product managers, scientists, security and DevOps engineers

Overview

Black Canyon Consulting (BCC) is actively looking for Project Manager(s)/Agile Scrum Master to support our work for the National Center for Biotechnology Information (NCBI) at the National Library of Medicine (NLM), an institute of the National Institutes of Health. 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/. 

Overview

Black Canyon Consulting (BCC) is actively looking for Project Manager(s)/Agile Scrum Master to support our work for the National Center for Biotechnology Information (NCBI) at the National Library of Medicine (NLM), an institute of the National Institutes of Health. 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!

Overview

Black Canyon Consulting (BCC) is actively looking for Project Manager/Agile Scrum Master to support our work for the National Center for Biotechnology Information (NCBI) at the National Library of Medicine (NLM), an institute of the National Institutes of Health. 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!

Overview

Black Canyon Consulting (BCC) is actively looking for Project Manager to support our work for the National Center for Biotechnology Information (NCBI) at the National Library of Medicine (NLM), an institute of the National Institutes of Health. This opportunity is full time in Bethesda, MD and must be within the DMV area. 

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!

Title: Computer Science Intern

Location: College Park, Maryland (across the street from campus)

Who We Are:

Rackner is a software consultancy that builds cloud-native solutions for startups, enterprises, and the public sector. We are an energetic, growing consultancy with a passion for solving big problems for both startups and enterprises. We enable digital transformation for large organizations through the newest in distributed technologies as we are laser focused on end-to- end application development, DevSecOps, AI/ML and systems architecture and our methodology focuses on cloud-first and cost-effective innovation. Our customers hail from a diverse, ever-growing list of industries. We work with small startups, hyper-growth companies, and some of the largest enterprises.

Position Overview:

As a Computer Scientist Intern at Rackner, you will have the chance to work closely with our team of experienced computer scientists and engineers on challenging and impactful projects. You will be involved in research, development, and problem-solving, helping to shape the future of technology. This internship is designed to provide you with valuable real-world experience in a supportive and innovative environment. The primary objectives will be around automation of business processes and conducting research and development for DevSecOps tools. We intend to hire many interns with similar responsibilities.

Key Responsibilities:

• Collaborate with the R&D team to design, develop, and implement software solutions and algorithms.
• Conduct research on emerging technologies and industry trends to support project development.
• Assist in troubleshooting and debugging software issues.
• Participate in coding, testing, and documentation of software components.
• Analyze and interpret data to generate insights and support decision-making.
• Work on cross-functional projects and contribute to team discussions.
• Learn and apply computer science principles to solve complex problems.
• 10 hours/week during the school year, 40 hours/week in the summer, >51% of the time will be in office

Qualifications:

• Currently pursuing a Bachelor's or Master's degree in Computer Science or a related field.
• Strong programming skills in languages such as Python, Java, C++, or similar.
• Familiarity with data structures, algorithms, and software development methodologies.
• Excellent problem-solving and critical-thinking abilities.
• Strong communication and teamwork skills.
• Eagerness to learn and adapt in a fast-paced and evolving tech environment.
• Passion for technology and a desire to contribute to innovative projects.
• Must be able to prove HUBZone occupancy in the current year* within the first week of employment using one of the following methods
  • Lease covering March 26-September 23
  • Drivers License acquired before March 26
  • Voter Registration Card acquired before March 26

*Students at the University of Maryland likely reside in a HUBZone, if you aren't sure, the map can be found here https://maps.certify.sba.gov/hubzone/map

Additional Info/Benefits

Rackner embraces and promotes employee development and training and covers the cost of certifications relevant to a position and the technologies/services provided. Fitness/Gym membership eligibility, weekly pay schedule and employee swag, snacks, & events are offered as well!

• 401k with 100% matching up to 6%
• Highly competitive PTO
• Great health Insurance with large network of providers
• Medical, Dental and Vision
• Life insurance, and short + long term disability
• Industry-Leading Weekly Pay Schedule
• Home office & equipment plan