Laser Engineer

Description GTM Engineer I Remote - United States About the Role The GTM Engineer helps build and support the systems the go-to-market motion runs on. You sit inside GTM Intelligence & Operations, part of the Marketing organization and the function accountable for attribution, MarTech , and the AI-driven operations that let a lean marketing team operate at a scale its headcount should not allow. This is a hands-on build role. Where the Marketing Operations team runs the engine day to day (campaign execution, routing, reporting, data hygiene), you build, configure, and maintain the pieces that make it work: the data pipelines, the integrations, the automations, and the AI workflows that support everything downstream. You work from established patterns and the direction of senior members of the team. When a new capability needs to be built (an intent signal routed into a sales play, an enrichment pipeline that resolves a contact to the right institution, an AI SDR that qualifies before a human ever touches a lead) you are hands-on in building it. This is a roll-up-your-sleeves role. The team is lean by design. AI is not a supplement here, it is the operating model. You will build, configure, and enhance the systems that keep a lean team operating well beyond its size, and help keep them running with the documentation and guardrails the team relies on. As you develop in the role, you will take on progressively more GTM engineering work and greater independence in how you build. You will also be a contributor to the broader marketing organization. The work you build helps support what everyone else can do. The ability to make your work legible, share what you are building, and raise the technical fluency of the people who operate the systems is as important as your individual output. Responsibilities Integration and API Support You build and maintain the connections between the marketing-owned stack and Salesforce. Because most of our GTM tools write into a CRM that a separate RevOps function owns, you build and support those integrations against the rules and patterns the team defines: what each tool pushes into Salesforce, in what shape, and with what validation. Clean, reliable integrations across marketing, sales, and customer success motions are part of your day-to-day work. Workflow Automation and Lead Routing You build and configure the routing that makes sure inbound never sits in a queue and reaches the right motion by segment, working from defined rules. You automate the manual steps reps and operators hate. You build the routing and automations , the operations team owns the rules and the running, and you work with them so the two never drift apart. Signal Processing and Intent You build the capture and processing that turns raw intent data ( Starbridge and other account-level signals) into something the GTM teams can act on before a buyer ever raises a hand. Following the team's approach, you configure how signals are scored, deduped , and routed into plays, and you build the plumbing that delivers them in time to matter. AI Tool Deployment and Agentic Workflows You build, deploy, and support AI capabilities: AI SDR and website chat, AI-assisted research and prospecting, and the agentic workflows that let a 25-person team run motions a much larger one could not. You build the automations, wire them into the stack, and instrument them so their output can be trusted and measured. Tech Stack Builds and Territory Configuration You stand up and configure new tooling to our territory design and pipeline reporting. You build in Salesforce and across forward-looking platforms like Phave and 1mind, and when we adopt a tool you help get it built into the stack correctly and talking to everything else. This may include writing custom scripts to meet data and market needs. Data and Contact Enrichment You build and support the enrichment pipelines that keep contact data accurate at the buying-entity level: right person, right title, right institution. You pull from multiple sources, dedupe and normalize at scale, and build the checks that keep enrichment quality high as volume grows. This is the enrichment layer specifically, and it runs alongside the broader corporate data-foundation initiative rather than owning it. What This Is Not This is a hands-on building role, not the operations seat. The Marketing Operations team owns campaign execution, funnel reporting, list management, and the day-to-day running of the systems. Your job is to build, configure, and support those systems so they run reliably. This is real technical work, not just clicking through a UI. It is also not a role where you wait for a perfect spec for every task. The playbook is still being written. You work from the direction of experienced team members, and in limited cases, you will decide what needs to exist and build it. AI handles the volume. That is not a constraint. It is what makes this role interesting. This is a career-development role with real runway. You start by building and supporting under the guidance of the team, and as you grow you will take on more complex GTM engineering work and begin to lead pieces of the build yourself. As the business scales, so does the team, and the right person sees this as the ground floor of a GTM engineering career at Blackboard. Why This Role The brand has recognition. The AI thesis is set from the top. The integrations, the automations, the enrichment pipelines, the AI-native systems that a reborn Blackboard will run on: you will help build them, learn from experienced operators, and grow into leading GTM engineering work over time . This role sits inside the Marketing organization, in GTM Intelligence & Operations, working directly with the VP of GTM Intelligence & Operations and a team of marketing peers as driven as you are to win. You will have a hand in building the engine behind how one of the most recognized brands in education technology goes to market during one of the most interesting moments in the company's history. What You Bring You approach AI as a core part of how you work, not a tool you use on the edges. You have started building workflows, automations, or data pipelines with AI, and you are eager to go deeper. Examples of what you have built are welcome. You are technical. You have working proficiency in the building blocks of modern GTM engineering: Python or SQL, REST APIs, and the platforms that connect a revenue stack end to end (Salesforce today, and forward-looking tools like Phave and 1mind). You understand how data flows from source to CRM to sequence, and you can build and debug that flow yourself. You are resourceful. When you hit something you have not seen before, you reach for AI and whatever other tools it takes to learn it and make progress, and you know when to pull in a more experienced teammate. Using AI to research, prototype, and troubleshoot your own work is not a nice-to-have here, it is how the job gets done at the pace a lean team demands. You are a builder by nature. You move fast, are comfortable making progress with some ambiguity, and course correct when the data tells you to. You do not wait for everything to be perfect before you start producing. The traits that matter most here : High agency Adaptive learning Clear communication Intellectual humility Required Skills and Experience At least 2 years in revenue/marketing/sales operations, GTM systems, growth engineering, or a comparable technical GTM role Proven track record of building and shipping GTM automations or data pipelines yourself, not directing others to build them Hands-on ownership of a CRM (Salesforce strongly preferred) as a builder, including objects, automation, and integrations Demonstrated use of AI as a core part of how you work: research, prototyping, and troubleshooting, not an occasional add-on Self-directed problem solver who unblocks themselves rather than waiting for a spec or a specialist Bias toward building fast, measuring, and iterating with incomplete information Fluency in written and spoken English Technical Skills Working proficiency in Python or SQL (ideally both), and fluency using AI coding assistants such as Claude Code to build and ship faster Experience building and consuming REST APIs and connecting tools that were not designed to talk to each other Fluency with modern enrichment, intent, and automation tooling, and the judgment to build across forward-looking platforms like Phave (MAPS) and 1mind (AI chat) Comfort designing data flows from source to CRM to downstream systems, including dedupe, normalization, and validation logic Salesforce Administrator certification, or equivalent hands-on experience configuring and maintaining Salesforce (Platform App Builder or Developer certification a plus) Preferred Skills and Experience Bachelor's degree in a technical, analytical, or business field, or equivalent practical experience. Demonstrated ability to build outweighs the credential Experience deploying AI SDR, agentic workflows, or LLM-based systems in a live GTM motion Exposure to education technology, higher education, or public-sector sales Experience working alongside a separate RevOps or CRM-owning function, with clean handoffs across a shared data model About Blackboard Blackboard is a leading EdTech company and SaaS provider that delivers the digital environment for transformational teaching and learning. We serve thousands of institutions with the industry's most AI-advanced LMS, Blackboard Ally for accessibility, and institutional effectiveness solutions that put educators and learners at the center. We're an education company that builds technology. Learn more at blackboard.com. The expected salary range for this position is $86,900- $108,600. The range reflects base salary only and does not include additional compensation such as company bonus or benefits. Placement within the pay range will depend on a variety of factors, such as experience, skills, internal parity, and location. Candidates must be legally authorized to work in the country where the role is based at the time of hire and must maintain that authorization for the duration of employment. The company does not provide visa sponsorship or immigration support for this position. This job description is not designed to contain a comprehensive listing of activities, duties, or responsibilities that are required. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities at any time. Blackboard is an equal employment opportunity/affirmative action employer and considers qualified applicants for employment without regard to race, gender, age, color, religion, national origin, marital status, disability, sexual orientation, gender identity/expression,   protected military/veteran status, or any other legally protected factor.