We are seeking a motivated Civil Engineering Staff to join our growing team in Vancouver, WA. This role is ideal for early-career professionals who are eager to expand their technical skills while working on a wide variety of public and private projects. You will collaborate with licensed engineers, project managers, and specialists in land surveying, environmental engineering, and natural resources, contributing to the design and delivery of infrastructure projects that make a lasting impact in the community. 

 PRIMARY JOB RESPONSIBILITES 

• Receive direction on engineering tasks and maintain active communication with project managers. 
• Effectively manage multiple assignments and prioritize work with input from project managers and professional engineers. 
• Willingness to work in a dynamic team environment involving multiple engineering disciplines and project types. 
• Preparation of construction documents for both public and private infrastructure projects.  
• Prepare written technical reports to document roadway and stormwater design decisions in accordance with local, state and national standards.  
• Prepare accurate stormwater models to evaluate stormwater conveyance, treatment, and detention requirements. 
• Prepare utility designs for stormwater, municipal water and sanitary sewer systems 
• Deliver engineering design projects using Autodesk Civil 3D software.  

 QUALIFICATIONS 

 Required Qualifications 

• Bachelor’s degree in civil engineering  
• Experience working in a Civil Engineering related field
• Aptitude to be able to perform civil engineering design tasks associated with municipal public works projects and/or private development projects 
• Flexibility and creativity in project approaches and openness to learn and develop your career 
• Knowledge of stormwater analysis strategies and techniques 
• Excellent verbal and written communication skills 
• Ability to work in a fast-paced, team-oriented environment. 
• Represent yourself and the company in a professional manner 

 Desirable Qualifications 

• Proficient skills in AutoCAD and Civil 3D highly desired. 
• Obtained Engineer in Training (EIT) license or ability to obtain within one year 
• Familiarity with HydroCAD stormwater modeling software 
• Relevant internship or previous professional experience. 

Why you'll love working for us:

• Company-subsidized medical and dental.
• Company-paid life, short, and long-term disability.
• 401k match, tuition assistance, and more.
• Cross-training and the ability to work on a variety of projects.
• Performance-based bonuses or other incentives.
• Working with the best and brightest in the industry.
• 2,000+ employee national firm with 70+ locations across the US.

Sponsorship is not available for this role. 

Req ID:11553

Join some of the best Graphics Engineers in the world supporting the largest immersive 3D streaming environment deployed across console, desktop, mobile, and VR.

• Scalability: Roblox provides a platform that guarantees to the creators that their games will always and automatically run on different devices, with cross-platform play and minimal load times.
• Compatibility: Roblox games and assets made in the past, are still working today. Rendering has to have an eye to the past, and an eye to the future…
• Community: Roblox games are made by creators of all experience levels, from professionals who earn their living on the platform to kids who are learning to program using Roblox!

As a Game Rendering Engineer, you will solve difficult challenges, while continuing to build a high-speed, completely dynamic environments connected on all devices.

Many established rendering techniques do not trivially apply to our platform - novel solutions are needed as we push Roblox towards higher targets of visual fidelity. Even the simpler visuals we support on low-power devices are enabled by some creative rendering ideas, often centered around caching, incremental computation and graceful degradation.

All of this is based on an in-house rendering engine built from the ground up, supporting DirectX 9/11, OpenGL, GNM, Metal, and Vulkan GAPI's. We have a powerful need for top-notch, low-level and high-level graphics work.

You Will:

• Help investigate and implement rendering techniques to make ROBLOX graphics more immersive and expressive
• Learn about our community and work with technical artists to understand the present and future needs of our creators
• Help improve the performance and stability of our game engine
• Work with other engineering and art teams
• Take ownership of a project throughout its full lifecycle

You Have:

• Knowledge of C++ and shading languages
• Knowledge of 3D math and computer graphics related algorithms
• Knowledge of one or more GPU APIs (OpenGL, DirectX and similar)
• The ability to reason about code performance and memory consumption
• 3+ years experience in real-time rendering
• Interest in creating creative rendering techniques
• Passion about the state-of-the-art in rendering research
• Mobile or console development experience

The Roblox Vision

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the platform that empowers our community to bring any experience imaginable to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility.

Why Join Our Rendering Team?

Roblox is seeking an experienced and passionate senior engineering manager to lead a team of talented engineers building cutting edge rendering technology.

The rendering team at Roblox is at the heart of how millions of creators and players experience our platform. We are a group that is highly passionate about pushing the boundaries of visuals, scalability and performance. We develop our in-house engine and are in control of our entire technology stack, from the rendering pipeline, the lighting techniques, the material system, the voxel terrain to the VFX system and the server infrastructure. 

Roblox continues to tackle an unprecedented scalability challenge: to allow User Generated Content to take advantage of high end devices while scaling all the way down to low end mobile devices, across a vast array of platforms and genres. Our technology stack and features must allow Creators to express their amazing vision and we must cater to Creators that range from professional developers to enthusiastic newcomers. Our engine must be capable of producing visuals that  look great on high end devices while preserving their intent on low end devices.

The Roblox platform has an immense reach. Our work makes it into the hands of hundreds of millions of users all over the world.

You will:

• Lead and mentor a world-class team of rendering engineers focused on one of the following pillars:
• The core rendering pipeline, culling and dispatching systems, graphics APIs backends (Vulkan, Metal, Direct3D, agc, OpenGL) and related systems.
• The Lighting, shading, materials, global illumination, and post-processing systems.
• Act as a hands-on technical leader, providing guidance on architectural decisions and implementation, from low-level details to high level choice of algorithms, and ensuring the stability and efficiency of our technology stack.
• Partner with your team and other engineering leaders to define and execute the vision for the core rendering technology, anticipating future needs and trends, and ensuring our plans are aligned with the company vision.
• Foster a culture of innovation, continuous improvement, and open communication, where all ideas are valued and explored, and invest in the development of our engineers.
• Help build and expand our rendering organization by attracting, interviewing, and retaining top-tier engineering talent.

You have:

• 15+ years of rendering or graphics engineering experience, with a deep understanding of one or both of the following:
• Low-level rendering pipelines, GPU architectures (preferably including mobile), and graphic APIs (e.g., Vulkan, Metal, DirectX)
• Modern lighting techniques (e.g., PBR, shadowing, global illumination), material systems, and shading languages.
• 5+ years of experience in a technical leadership or engineering management role, with a proven track record of building, mentoring, and leading high-performing engineering teams.
• Strong C++ programming skills and a robust problem-solving background, with the ability to provide technical guidance, conduct deep-dive investigations, and contribute to design discussions.
• Experience designing, building, and shipping advanced graphical features and/or performance critical systems for game engines or real-time 3D applications.
• Strong communication and interpersonal skills, with the ability to articulate complex technical concepts clearly to both technical and non-technical audiences and collaborate effectively across diverse teams.
• A genuine enthusiasm for tackling the unique rendering challenges that Roblox faces.

The Opportunity

We're looking for a Senior Software Engineer to join our Web Data team and help build the next generation of ZoomInfo's web crawling and data extraction infrastructure.

This is a hands-on engineering role with high impact. You'll work alongside experienced engineers building large-scale crawling and extraction systems that process billions of pages. Your day-to-day will involve solving real distributed systems problems, writing production code, and shipping features that directly impact data quality across the platform.

You'll partner with a dedicated people manager who handles HR and administrative responsibilities, a product manager who connects business needs with technical work, and a senior manager who removes roadblocks and supports career growth. Your focus is on engineering execution, technical excellence, and collaboration.

What You'll Do

As a Senior Software Engineer, you'll contribute to enterprise-scale crawling and extraction platforms that process massive volumes of web data.

You will:

• Design and implement components of scalable, fault-tolerant web crawling and extraction pipelines
• Write clean, production-grade code in Java and Python
• Build and operate ETL/ELT pipelines for large-scale data extraction and transformation
• Work with cloud infrastructure on GCP and AWS, primarily on GKE
• Improve observability, reliability, and operational excellence across the systems you contribute to
• Partner with product and data science teams to deliver impactful solutions
• Contribute to code reviews, documentation, and knowledge sharing across the team
• Stay current with evolving web technologies, anti-crawling mechanisms, and AI-powered extraction approaches

Must-Have Qualifications

We're prioritizing strong software engineering fundamentals over deep crawling-specific experience. The right candidate is a great engineer first; the domain can be learned on the team.

Software Engineering Fundamentals

• 5+ years of professional software engineering experience building production systems
• Strong CS fundamentals: algorithms, data structures, concurrency, distributed systems
• Proficiency in Java and/or Python
• Track record of owning features end-to-end from design through deployment and operation
• Comfortable making sound architectural decisions at the component level

Data Engineering

• Hands-on experience with cloud data warehouses such as BigQuery or Snowflake
• Experience designing and operating large-scale ETL/ELT pipelines
• Experience with orchestration tools such as Apache Airflow
• Experience with streaming or event-driven systems such as Apache Kafka

Cloud and Infrastructure

• Production experience on GCP (preferred) or AWS; multi-cloud exposure is a plus
• Hands-on experience with Kubernetes (GKE/EKS) for distributed workloads
• Familiarity with infrastructure-as-code tooling such as Terraform

Background and Mindset

• Strong communicator who can explain technical decisions clearly
• Comfortable operating in ambiguity and iterating quickly
• Bias toward action and pragmatic problem solving
• Self-starter who thrives in fast-paced, evolving environments

Nice to Have

• Experience with web crawling at scale (Scrapy or similar frameworks)
• Familiarity with proxy infrastructure, rotation strategies, or anti-bot evasion techniques
• Experience in extracting structured and unstructured web data from diverse site architectures
• Knowledge of SERP (Search Engine Results Page) extraction
• Comfort with AI/LLM-based extraction approaches, applying language models to HTML at scale
• Experience working in a B2B data company or data-as-a-product environment

Core Technical Stack

• Java and Python
• Apache Kafka
• GCP (BigQuery, GKE, Vertex AI)
• Snowflake and Starburst/Trino
• Terraform
• Scrapy and web scraping frameworks
• Proxy management systems
• Distributed systems and Kubernetes
• Apache Airflow
• Large-scale ETL pipelines

Ideal Profile

• 5+ years of software engineering experience
• Experience operating systems that process meaningful volumes of data
• Strong CS fundamentals (algorithms, data structures, distributed systems)
• Excellent communicator who can explain complex ideas to diverse audiences
• Passion for solving hard problems and building elegant, scalable systems
• Self-starter who thrives in fast-paced, evolving environments
• Experience working in a B2B data company or data-as-a-product environment is a strong plus

Why This Role Matters

This role sits at the heart of ZoomInfo's data platform. You'll contribute to the infrastructure that powers our business intelligence products and help shape how web data acquisition is done at ZoomInfo, while working at a massive scale with cutting-edge technologies.

You'll be joining at a pivotal moment: the team is growing, the ambition is high, and there's a real opportunity to make a lasting impact and grow into deeper technical leadership over time.

#LI-AR2

#LI-REMOTE

We are currently seeking to add a Sr. Civil Engineer to our dynamic team in Vancouver, Washington.

• Salary: $125,000 - $140,000 annually
• Employment Type: Full-time
• Benefits: Comprehensive benefits package (see below)
• Work Flexibility: Hybrid schedules
• Sign-On Bonus

Apex Companies LLC is seeking a highly motivated senior civil engineer with experience in leading civil engineering design projects and providing direction to civil design teams. This position would serve various public and private clients within existing portfolio and provide opportunities for highly motivated candidates to develop new client relationships. Our teams specialize in delivering multi-disciplinary projects that incorporate the full breadth of Apex services and strategic subconsultant partners. 

Primary Job Responsibilities:

• Plan and administer medium to large transportation infrastructure projects.
• Provide leadership in the design of efficient and constructable civil projects.
• Estimate and budget labor hours for design projects; review job costing reports and take corrective action, as necessary.
• Establish and maintain client relationships; ensure client satisfaction and ensure that client objectives are met.
• Mentor young design professionals.
• Participate in business development opportunities.
• Participate in professional organizations and functions.

Qualifications: 

• 10+ years' experience as a consulting engineer providing design and project management of local agency or state transportation projects
• A bachelor’s degree in civil engineering and professional registration (P.E) in Washington and/or Oregon
• A solid understanding of civil design and construction standards, and environmental conditions / constraints.
• A proven history of meeting project timelines and budgets.
• Demonstrated skills developing relationships with local municipalities and utilities
• Familiarity with local code requirements
• Ability to develop creative engineering solutions to address project constraints
• Proficiency in Microsoft Office Applications (Word, Excel, Outlook)
• Excellent verbal and written communication skills with clients, staff and management.
• Familiarity with design software such as AutoCAD Civil 3D, MicroStation InRoads, HyrdoCAD, WWHM2012

Examples of Projects You May Lead Include:

• Vancouver Heights Tower Mall Redevelopment
  • 35-acre multi-phased urban redevelopment project that is focused on providing employment and affordable housing in the urban core of Vancouver, Washington. The project includes major signalized intersection improvements, two new roundabouts, and two miles of new collector roadways and a linear parkway and community plaza. Apex is providing engineering support for eight different project phases to prepare the site for private development investments.
• Broadmoor Redevelopment
  • PBS is assisting the City of Pasco to best use their available Tax Increment Financing to develop several miles of arterial roadways, five signalized intersections, and a multilane roundabout. The goal of this project is to activate the mixed use, multi-modal Broadmoor development area for private development investments. Thus, steering the needed city expansion in a way that allows for planned community tailored to cohesive short term buildout.

Req ID: 11237

#LI-SH1

About impact.com
impact.com is the world’s leading commerce partnership marketing platform, transforming the way businesses grow by enabling them to discover, manage, and scale partnerships across the entire customer journey. From affiliates and influencers to content publishers, brand ambassadors, and customer advocates, impact.com empowers brands to drive trusted, performance-based growth through authentic relationships. Its award-winning products - Performance (affiliate), Creator (influencer), and Advocate (customer referral) - unify every type of partner into one integrated platform. As consumers increasingly rely on recommendations from people and communities they trust, impact.com helps brands show up where it matters most. Today, over 5,000 global brands - including Walmart, Uber, Shopify, Lenovo, L’Oréal, and Fanatics - rely on impact.com to power more than 350,000 partnerships that deliver measurable business results.

Your Role at impact.com:

We're seeking a Senior Data Scientist to serve as an embedded Data Scientist within our Programmatic Experience Group. You'll own the design and deployment of machine learning models that optimize yield, pricing, and inventory allocation at scale — sitting at the intersection of data science, platform engineering, and marketplace economics.

This is a high-craft, high-ownership individual contributor role. You'll work end-to-end: architecting the data pipelines that feed your models, engineering the features that drive performance, and deploying real-time inference systems that make decisions at speed. Your work directly determines how effectively Impact's programmatic marketplace balances advertiser performance with publisher monetization — making this one of the highest-leverage technical roles in the business.

You'll collaborate closely with Product, Data Science, and Programmatic Delivery Engine Engineering, but you operate with significant autonomy. You're expected to bring both the modeling rigor of a data scientist and the production instincts of an ML engineer — and to be genuinely excited about both.

What You'll Do:

Yield Optimization & Pricing Models

• Design and deploy ML models that optimize auction pricing, bid shading, floor price setting, and yield across Impact's programmatic inventory.
• Build and iterate on real-time pricing algorithms that balance short-term revenue efficiency with long-term publisher and advertiser health.
• Develop and maintain feedback loops that allow pricing models to adapt to shifting market conditions, inventory mix, and demand patterns.
• Quantify the revenue impact of pricing model improvements; communicate tradeoffs between yield maximization, fill rate, and partner ROI to stakeholders.

Inventory Allocation & Supply Optimization

• Own ML-driven inventory allocation logic: routing, pacing, and matching supply to demand across partner segments, deal types, and campaign objectives.
• Build models that forecast inventory availability, demand curves, and clearing prices to support proactive allocation decisions.
• Identify and address inefficiencies in inventory utilization — including unsold inventory, suboptimal deal matching, and allocation imbalances across the publisher base.

Data Architecture & Feature Engineering

• Design and own the data infrastructure that feeds programmatic models: event pipelines, feature stores, training datasets, and real-time feature serving.
• Engineer high-signal features from auction logs, bid stream data, user signals, contextual attributes, and historical performance — at the scale of programmatic data volumes.
• Build robust data pipelines with production-grade standards: reliability, observability, versioning, and efficient reprocessing.

Real-Time Inference & Production ML

• Deploy models to production real-time inference environments; own latency, reliability, and throughput requirements for auction-time decision-making.
• Build monitoring systems that track model performance, data drift, and system health in production; define alerting thresholds and retraining triggers.
• Partner with MLOps and Platform Engineering to ensure scalable, low-latency serving infrastructure meets SLOs under high-volume auction traffic.
• Own the full model lifecycle: training, evaluation, deployment, A/B testing, and iteration.

Experimentation & Performance Measurement

• Design and execute rigorous A/B and holdout experiments to measure the causal impact of model changes on yield, fill rate, advertiser performance, and publisher revenue.
• Build evaluation frameworks that go beyond offline metrics — validating model behavior in live auction environments where feedback signals are delayed or noisy.
• Translate experimental results into clear business narratives; present findings and recommendations to Product and business stakeholders.

Self-Learning Systems & Feedback Loops

• Research and implement adaptive, self-learning components within the programmatic stack — including contextual bandits, reinforcement learning signals, and online learning approaches where appropriate.
• Design feedback mechanisms that close the loop between auction outcomes, model updates, and system behavior; reduce reliance on manual tuning and rule-based overrides.
• Stay current with advances in programmatic ML, auction theory, and online optimization; evaluate applicability to Impact's specific marketplace dynamics.

Cross-Functional Collaboration

• Serve as the primary ML technical partner for the Rubicon product and engineering teams; translate business requirements into modeling approaches and communicate technical tradeoffs clearly.
• Collaborate with Data Science peers on shared infrastructure, modeling standards, and cross-domain feature reuse.
• Document models, architectures, and experimental findings to a standard that enables review, replication, and knowledge transfer across teams.

What You Bring:

Required

• Experience: 5+ years in data science, ML engineering, or quantitative research, with at least 2+ years building and deploying ML models in programmatic advertising, ad tech, marketplace optimization, or a closely related domain (e.g., real-time bidding, dynamic pricing, auction systems).
• Programmatic & marketplace depth: Demonstrated understanding of programmatic auction mechanics (RTB, header bidding, floor pricing, deal types, bid shading) and how ML can be applied to optimize outcomes across the supply-demand stack.
• Production ML engineering: Proven ability to take models from prototype to production independently — including real-time inference, monitoring, retraining pipelines, and SLO ownership.
• Data architecture: Experience designing and building data pipelines, feature stores, and training infrastructure for high-volume, low-latency ML systems.
• Technical skills:
• Strong Python and SQL; proficiency with ML libraries (scikit-learn, XGBoost, LightGBM, PyTorch/TensorFlow) and large-scale data tools (Spark, Kafka, or equivalent streaming/batch frameworks).
• Experience with real-time feature serving and low-latency model deployment (REST APIs, gRPC, or streaming inference).
• Familiarity with production ML workflows: model versioning, drift monitoring, A/B testing, evaluation, and retraining.
• Experience processing and modeling at programmatic data scale: high-cardinality auction logs, bid stream data, impression and click events.
• Experimentation rigor: Strong grasp of causal inference and experiment design in online, delayed-feedback environments (auction holdouts, switchback tests, variance reduction techniques).
• Communication: Ability to explain complex modeling decisions and tradeoffs to Product and business stakeholders; comfortable presenting in cross-functional forums.
• Education: Bachelor's in a quantitative field (CS, Statistics, Math, Engineering, Economics, or similar); Master's/PhD preferred.

Preferred / Nice to Have

• Direct experience with SSP, DSP, or exchange-side yield optimization — particularly floor price optimization, bid landscape modeling, or deal matching algorithms.
• Familiarity with auction theory (first-price vs. second-price dynamics, optimal reserve pricing, revenue equivalence) and its practical implications for programmatic ML.
• Experience with contextual bandits, multi-armed bandits, or reinforcement learning applied to real-time decisioning problems.
• Knowledge of online learning and adaptive algorithms in production environments with non-stationary data distributions.
• Familiarity with privacy-preserving ML techniques relevant to programmatic (differential privacy, federated learning, cookieless attribution modeling).
• Experience with GCP tools (BigQuery, Vertex AI, Dataflow, Pub/Sub) and/or Databricks/Spark for large-scale event processing and model training.
• Exposure to supply forecasting, inventory management, or capacity planning in programmatic or marketplace contexts.
• Familiarity with Impact's affiliate and partnership ecosystem, or prior experience at the intersection of performance marketing and programmatic delivery.

What Sets You Apart

• Marketplace intuition. You understand programmatic auctions not just as an engineer but as an economist — you think about incentive structures, equilibrium dynamics, and how model decisions ripple through the supply-demand stack.
• Full-stack ML ownership. You're as comfortable designing a feature store schema as you are tuning a gradient boosting model or debugging a latency spike in production. You own the whole chain.
• Feedback loop thinking. You don't just deploy models — you design the systems that make them smarter over time. You think about how today's decisions become tomorrow's training signal.
• Rigor under real-world constraints. You know how to run clean experiments in environments where feedback is delayed, data is noisy, and business pressures create tradeoffs. You don't let imperfect conditions become an excuse for imprecise thinking.
• Pragmatic delivery. You ship. You balance the perfect with the production-ready, iterate fast, and know when an MVP outperforms a six-month research project.
• Collaborative depth. You build genuine technical trust with engineering and product partners — not just by having good ideas, but by following through, communicating clearly, and making the integration easy.

Salary Range: $165,000 - $185,000 per year, plus an additional 5% variable annual bonus contingent on Company performance and eligible to receive a Restricted Stock Unit (RSU) grant.

*This is the pay range the Company believes is equitable for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time.

Benefits and Perks: 

At impact.com, we believe that when you’re happy and fulfilled, you do your best work. That’s why we’ve built a benefits package that supports your well-being, growth, and work-life balance.

• Strong extended health benefits: Health & Prescription coverage, vision and dental care, virtual health care, out-of-country medical coverage
• Insurance coverage (life, short-term disability, long-term disability, and more)
• Health Care Spending Account
• Two different Employee Assistance Programs
• Flexible Working: Our Responsible PTO policy means you can take the time off you need to rest and recharge. We're committed to a positive work-life balance and provide a flexible environment that allows you to be happy and fulfilled in both your career and your personal life.
• Health and Wellness: Your well-being is a priority. Our mental health and wellness benefit includes up to 12 fully covered therapy/coaching sessions per year, with additional dependent coverage. We also offer a monthly gym reimbursement policy to support your physical health.
• A Stake in Our Growth: We offer Restricted Stock Units (RSUs) as part of our total compensation, giving you a stake in the company's growth with a 3-year vesting schedule, pending Board approval.
• Investing in Your Growth: We’re committed to your continuous learning. Take advantage of our free Coursera subscription and our PXA courses.
• Parental Support: We offer a generous parental leave policy, 26 weeks of fully paid leave for the primary caregiver and 13 weeks fully paid leave for the secondary caregiver.
• Technology Financial Support: We provide a technology stipend to help you set up your home office and a monthly allowance to cover your internet expenses. 

Note: Benefits may vary by location and are subject to local regulations.

impact.com is proud to be an equal-opportunity workplace. All employees and applicants for employment shall be given fair treatment and equal employment opportunity regardless of their race, ethnicity or ancestry, color or caste, religion or belief, age, sex (including gender identity, gender reassignment, sexual orientation, pregnancy/maternity), national origin, weight, neurodivergence, disability, marital and civil partnership status, caregiving status, veteran status, genetic information, political affiliation, or other prohibited non-merit factors.

#LI_Vancouver_Canada

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

ZoomInfo is seeking a Senior Data Systems Analyst to become the expert on our company data pipeline—the system that ingests, processes, and profiles millions of company records that power our customers' go-to-market strategies.

In this role, you'll build deep expertise in how our company data flows from acquisition through profiling and output. You'll read code to understand data transformations and system dependencies, bring informed opinions to design conversations with Engineering and Product, and help shape the evolution of our next-generation data infrastructure. As you build mastery of our systems, you'll increasingly lead strategic data improvement initiatives that require both systems thinking and creative problem-solving.

This isn't about building dashboards or SQL reports. This is about understanding data systems at an architectural level, solving ambiguous data challenges, and ensuring our pipeline infrastructure continuously evolves to meet customer needs and maintain competitive advantage.

You'll work closely with other data analysts during an active infrastructure transition period, and as systems stabilize and your expertise deepens, you'll progressively own more of the pipeline architecture and strategic initiatives. This is a role with significant growth runway for someone who wants to become the go-to technical expert on company data systems.

Who You Are

Systems Thinker with Technical Depth: You understand how data systems work, not just what they produce. You've worked with data pipelines, ETL systems, or data processing infrastructure—maybe you've improved one, debugged one, or owned components of one. You can read code (Python, Java, SQL, or similar) well enough to understand data transformations and trace how data flows through systems.

Opinionated Technical Contributor: You don't just execute—you have informed opinions on how things should work. You can assess technical tradeoffs, evaluate whether a proposed solution is feasible, and contribute meaningfully to design conversations with engineers. You're comfortable saying "here's what I think and why" based on your technical understanding.

Growth-Oriented Problem Solver: You're excited to build deep expertise in a complex domain and grow into leading strategic initiatives. You've tackled ambiguous problems that required figuring things out as you went, and you want to expand your project leadership capabilities in a systems-focused environment.

Analytical and Hands-On: You're equally comfortable writing code to analyze data patterns and manually investigating edge cases to understand what's really happening. You dig into details when needed and know when to zoom out to see the bigger picture.

Clear Communicator: You can explain technical complexity to non-technical audiences. You've worked effectively with Engineering, Product, or cross-functional teams, translating between technical constraints and business needs.

Comfortable with Ambiguity: You thrive in evolving environments where priorities shift and problems aren't always well-defined. You maintain momentum and quality even when the path forward isn't perfectly clear.

What You'll Do

In your first 6-12 months, your primary focus will be building deep expertise in our pipeline architecture and contributing to our infrastructure transition. You'll work alongside other analysts who have context on our systems, learning the architecture while bringing fresh perspectives and technical depth. As you gain mastery and systems stabilize, you'll increasingly own pipeline architecture decisions and lead strategic data improvement initiatives.

Build Deep Pipeline & Systems Expertise

• Master our company data pipeline architecture—how data flows from ingestion through profiling, what transforms are applied at each stage, and how components interconnect
• Read and analyze production code to understand data transformations, trace data lineage, and assess how proposed changes would impact the system
• Develop frameworks for evaluating tradeoffs between technical complexity, implementation effort, and customer impact
• Create clear documentation, system maps, and knowledge resources that capture architecture decisions, dependencies, and design rationale

Contribute to Pipeline Evolution & Infrastructure Improvements

• Participate actively in design conversations with Engineering and Product about our next-generation pipeline, bringing data quality insights, technical feasibility assessments, and informed opinions on architectural decisions
• Help validate pipeline improvements through rigorous testing, impact analysis, and hands-on verification of data quality
• Translate data quality investigations and emerging requirements into system-level improvement opportunities
• Collaborate with team members to determine when problems should be solved at the pipeline/profiler level versus through downstream approaches

Solve Complex, Ambiguous Data Challenges

• Lead or contribute to data improvement initiatives that require both systems thinking and creative problem-solving—such as improving location verification across international markets, integrating new data sources, or solving novel data extraction challenges
• Tackle problems where the solution isn't obvious through a blend of code analysis, manual investigation, cross-functional coordination, and iterative problem-solving
• Build and apply repeatable approaches to testing, validation, and root cause analysis

Build Partnerships & Institutional Knowledge

• Develop strong working relationships with Data Acquisition, Product, Engineering, and fellow data analysts
• Conduct impact analyses and validation studies to ensure proposed changes deliver intended outcomes
• Document your learning, approaches, and insights so knowledge is shared and institutional memory builds across the team
• Serve as a technical resource as you develop expertise, helping bridge immediate data quality needs with long-term pipeline capabilities

What You'll Bring

Required

• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related quantitative field
• 5+ years of experience in data analytics, data engineering, or related technical roles
• Experience working with data pipelines, ETL systems, or data processing infrastructure—you understand how data moves through systems and what can go wrong
• Ability to read and understand code (Python, Java, SQL, or similar) to analyze data transformations, understand system logic, and assess technical feasibility
• Strong programming skills in Python and SQL for data analysis and manipulation
• Experience solving ambiguous, multi-faceted data problems that required figuring out the approach, not just executing a well-defined analysis
• Demonstrated ability to work effectively with Engineering and/or Product teams, translating between technical implementation and business/customer needs
• Strong analytical skills with ability to investigate complex issues systematically
• Excellent communication skills—able to explain technical concepts clearly to diverse audiences
• Self-directed with strong ownership mentality—you drive your work forward and know when to seek input

Strongly Preferred

• Experience with company data, business data, web data acquisition, or data quality initiatives
• Experience with data profiling, entity resolution, record linkage, or data matching systems
• Background contributing to system design discussions or technical architecture decisions
• Experience creating technical documentation or knowledge-sharing resources
• Knowledge of web data structures (HTML/DOM), data extraction, or data collection systems
• Experience designing validation strategies or testing frameworks
• Track record of leading or co-leading cross-functional data projects

This Role Is Not a Fit If:

You're looking to focus primarily on business analytics, building dashboards, creating reports, or analyzing business metrics. While you'll do analysis in this role, the core mission is understanding and improving data systems architecture.

This Role Is a Strong Fit If:

You want to become the expert on how data systems work and grow into leading strategic initiatives. You're excited to build deep technical expertise, contribute informed opinions to design decisions, and progressively take on more ownership as you master the domain. You enjoy solving problems where the answer isn't obvious and seeing your work directly improve product capabilities.

#LI-JH1

#LI-Hybrid

Position Overview 

As a Solutions Engineer at Diligent, you will partner closely with Sales to help organizations understand how our platform can transform the way they mitigate risk, perform audits, and operationalize compliance. You’ll independently lead the SE workstream on small to mid-sized opportunities, while partnering with more senior Solutions Engineers on complex, multi-pillar deals, acting as a trusted partner to customer stakeholders and helping translate Ethics & Compliance and broader GRC challenges into clear, compelling solutions that drive business value. 

If you enjoy combining domain expertise, storytelling, solution design, and customer interaction and are looking to build your career in a commercial, customer-facing environment, this is a strong next step. 

Key Responsibilities 

Customer & Commercial Partnership 

• Partner with Sales to lead the full pre-sales lifecycle for small to mid-sized opportunities, helping customers understand how Diligent solves real-world compliance challenges. 

• Deliver independent, well-prepared, tailored software demonstrations that clearly articulate business value, while seeking coaching and feedback from senior team members for continuous improvement. 

• Engage confidently with stakeholders across Legal, Ethics & Compliance, Governance, Risk & Audit teams, owning day-to-day customer conversations and escalating to senior SEs for high-risk or complex topics as needed. 

• Translate customer pain points into clear solution narratives, including outcomes and success criteria, to support deal progression and closure. 

• Own the technical win for small to mid-sized opportunities, and contribute to the technical strategy on larger, multi-stakeholder deals in partnership with senior SEs. 

Solution Design & Thought Leadership 

• Design and present solution architectures that align with customer objectives and regulatory environments. 

• Articulate the cross-platform value of the Diligent One Platform and how it supports integrated Governance, Risk and Compliance (GRC) programs. 

• Collaborate with Product teams by capturing and relaying customer and domain feedback on product enhancements. 

• Independently run structured discovery sessions for your own opportunities, mapping requirements to Diligent solutions, defining POC/sandbox success criteria, and ensuring proposed solutions are implementation-ready, with guidance from senior SEs where needed. 

• Co-lead selected marketing initiatives such as webinars, industry events, and thought-leadership content. 

Domain Expertise 

• Apply a solid working knowledge of compliance and governance concepts in customer discussions to frame challenges and guide solution design, with mentorship from senior SEs as you deepen your expertise. 

• Maintain working familiarity with key regulatory and industry frameworks such as GDPR/CCPA, SOC 2, ISO, NIST, EU Directives (Whistleblower, AI, etc.), ABAC/AML, LkSG, as well as other relevant industry regulations. 

• Build knowledge of core compliance functions, including Ethics & Compliance Programs, Policy & Training, Third-Party Risk Management, and Entity & Subsidiary Management. 

Technical & Integration Fluency 

• Maintain a strong working understanding of the Diligent platform, including core workflows, configuration options, reporting, and common integrations. 

• Configure and maintain demo and sandbox environments, ensuring they reflect current product capabilities and common customer use cases. 

• Confidently whiteboard end-to-end solution flows, data movements, and high-level architectures with both business and technical audiences, engaging senior SEs for deeper architectural or cross-pillar discussions. 

Required Skills/Experience 

• 1–3 years of experience in Ethics & Compliance, GRC, Legal (Corporate Compliance), or a related field, either in a customer-facing role or within industry. 

• Experience working with SaaS solutions, including demonstrated experience independently delivering demos or evaluations for at least one solution area, or a strong track record of quickly ramping on new SaaS platforms. 

• Strong presentation and communication skills, with the ability to simplify complex topics for non-technical audiences. 

• Comfortable partnering with Sales and contributing to commercial outcomes as part of a broader account team. 
• Curious, self-driven, and motivated to continuously deepen both technical and domain knowledge, with a growth mindset and openness to coaching and feedback. 

Position Overview 

Diligent is looking for an experienced Value Engineer to join the team and work on key accounts to develop opportunities for prospects and customers. This position will leverage our GTM, and value drivers established through combining people, process, and technology. This resource will command a path of ensuring any mutually agreed outcomes established with customers are built through rigorous adaptation to measurable success. 

Through a balanced program of assessment, investigation, and value modelling these outcomes will be managed from inception to fruition via the Business Value Consulting program. 

Key Responsibilities  

• Develop and present clear and concise Business Cases and Value Assessments: 
• Proven ability to unearth business requirements & Drivers. 
• Proven ability to map business drivers & initiatives to technology offering & differentiators. 
• Proven ability to articulate validated business value. 
• Gathering and analyzing in-depth business, technical, and financial information to understand the baseline and future capability of the client proposition. 
• Conducting gap analyses of clients’ current versus desired states, identifying specific opportunities for benefit realisation.  
• Drive adoption and enablement of the business value framework across the wider Diligent ecosystem, supporting the teams on the customers end to end journey of sales through to customer success and value realization. 
• Ability to review and support POCs, and project planning involving Diligent technologies to incorporate Proof of Value messaging. 
• Active participation in thought leadership, creating whitepapers, industry specific GTM materials and leading internal initiatives. 
• Delivers training for other Engineers as part of enablement efforts.   
• Enablement of Presales and Sales organization around Value Based Selling deliverables, processes, and best practices. 
• Articulates and evangelizes industry and business trends relevant to Diligent's go-to market strategy. 

Required Experience/Skills  

• Extensive experience in product management, with a strong background in developing and managing Data SaaS products. 
• Excellent presentation, verbal, and written communication skills. 
• Strong experience partnering with a sales force who follow a strict sales methodology (MEDDIC/MEDDPIC). 
• Adaptive mindset and ability to drive out a meaningful path to how our customers see tangible business value. 
• Able to provide clear analysis and modelling of ROI (Return of Investment) and TCO (Total Cost of Ownership) concepts to justify business cases. 
• Ability to build relationships both internally and externally to understand the underpinning needs of Diligent in terms of delivering proposed business value. 

The Team:

Our Business Applications and Analytics team plays a pivotal role in driving business success through data-driven decision-making and operational excellence. This dynamic team manages enterprise-wide applications, including ERP, CRM, and BI systems. By harnessing the power of data and advanced analytical tools, we provide valuable insights that inform strategic initiatives, optimize processes, and enhance overall performance.  

Position Overview:  

Diligent is ‘All-In’ on AI and is seeking a dynamic and strategic AI leader to join our team as an AI Solutions Architect. As part of the Business Applications and Analytics team, this crucial role is designed to accelerate our Internal AI capabilities across multiple business functions, including Marketing, GTM/Sales, Customer Success & Support, Finance, HR, Legal, and Product and Engineering teams. 

The primary goal of this position is to identify, prototype, deploy, and scale AI technologies and solutions that drive greater operational efficiency and effectiveness. The ideal candidate will be a technically adept individual with business acumen, able to bridge the gap between robust technical implementations and business needs, with the ability to partner with various business leaders to spot and act on opportunities for AI-driven transformation and innovation. 

Key Responsibilities:

• Partner with business leaders to understand challenges, identify AI opportunities, and implement effective AI/GenAI solutions.
• Lead the ideation, prototyping, deployment, and scaling of AI/GenAI technologies and agentic solutions tailored to business needs.
• Develop and communicate strategic frameworks and roadmaps for AI initiatives aligned with business goals.
• Champion best practices in AI/ML and GenAI development—including responsible AI, privacy, security, and ethical guidelines.
• Collaborate with cross-functional teams to integrate AI tools within core business processes, ensuring seamless, high-value adoption.
• Stay abreast of AI best practices, tools, and methodologies and introduce them to the organization.
• Drive AI and Data literacy across the company through training, workshops, and continuous education initiatives.
• Ensure compliance with data protection and privacy regulations in all AI implementations.
• Monitor and evaluate the performance and effectiveness of AI solutions and continually refine them.
• Collaborate with stakeholders to define and achieve key performance indicators (KPIs) and return on investment (ROI) for AI projects.
• Advocate and implement AI ethical guidelines and best practices.

Required Qualifications:

• Solid Foundations: Bachelor’s degree in Computer Science, AI/ML, Data Science, or a related technical field.
• Practical Tinkerer: 5+ years in a technical role (software, data, DevOps, etc.), with hands on experience building end-to-end prototypes using GenAI tools (GPTs, Hugging Face, open-source LLMs, LangChain, Scikit-learn, etc.).
• Curious Explorer: Demonstrates a hands-on approach to learning in prompt-engineering, fine-tuning, RAG pipelines, or API Integrations, with a commitment to rapid failure, iteration, and sharing findings.
• Data Wrangler: Possesses the ability to source, clean, and transform raw data, including spreadsheets, logs, APIs, or CRM exports, into structured inputs for AI experiments and prototypes.
• Code Crafter: Capable of writing scripts or small applications to connect models, cloud services, or data sources. Prior experience with TensorFlow, PyTorch, Azure, AWS, or GCP is beneficial, but willingness to learn is equally important.
• Business Translator: Experienced as a technical sales engineer or solutions consultant, capable of turning AI experiments into compelling stories and metrics that resonate with non-technical stakeholders.
• Responsible AI Mindset: Demonstrated experience in addressing privacy, security, bias, and ethics in professional work, with a strong familiarity with industry-specific data privacy, AI ethics, and compliance requirements.
• Team Player: Essential qualities include clear communication and a growth mindset, as you will collaborate with marketers, sales professionals, engineers and leaders.

Preferred Qualifications:

• Demonstrates strong knowledge of AI use cases, including NLP, computer vision, data analytics, predictive modelling, and translating technical capabilities into business value, along with proficiency in large language models (LLMs), prompt engineering, RAG architectures, MLOps, LLMOps, and GenAI application deployment.
• Advanced programming and data engineering skills, with Python preferred, and experience in cloud-based AI solutions (AWS, GCP, Azure).
• Ability to architect and deploy enterprise-scale AI solutions, collaborating across sales, product, and implementation teams to ensure adoption and measurable ROI.
• Strategic thinker with strong analytical and problem-solving skills, capable of driving measurable business outcomes through AI/GenAI.