• You will partner with our business / account team working with customers to develop a keen understanding of their goals, strategies, and technical needs as well as help to define and deliver high-value solutions meeting these needs. • Staying up on the state of the art in the production deep learning and machine learning methods. • You'll be called on to help architect and scale high-performance, distributed, AI deployments that are built on the latest NVIDIA GPU supercomputers. • Document what you know and teach others. • Be an industry leader with vision on integrating NVIDIA technology into AI and HPC architectures for advanced applications, such as foundation model training or autonomous labs. • Strategically partner with lighthouse customers and industry-specific solution partners targeting our computing platform.

• Own the long-term roadmap for our community tech stack. Ensure all tools (CRM, third-party platforms, automation layers) are integrated, scalable, and evolving ahead of our operational needs. • Act as the primary architect for our community CRM. You will be responsible for ensuring data integrity, building custom objects, and creating seamless hand-offs between Community and Success teams. Your goal is to drive 100% adoption for primary relationship-management use cases. • Lead the selection, vendor management, and rollout of new tools. You will design end-to-end workflows that bridge the gap between community engagement and business data, ensuring high adoption and minimal technical debt. • Partner with the Community team to define how we measure health, tiers, and growth. You will support and build the data pipelines and dashboards that demonstrate the ROI of our programs to executive leadership. • Navigate a complex stakeholder environment (CorpEng, Privacy, IT) to ensure all community tools meet Reddit’s high standards for security and user trust.

• Engage with customer Clinical Scientists, Clinical Operations, Data Management, Biostatisticians, Medical Writers, and Project/Program Managers through participation as a CSS representative in study team meetings to understand key components of their clinical study and support them in successful use of the Faro Health Platform • Conduct modeling of studies in the Faro Study Designer for customers, sales demos and delegate and provide guidance of study modeling and other clinical tasks to junior team members • Own the management and ongoing expansion of a high-quality public study library • Work closely with customer users to provide instruction on clinical application of the study designer and explanation of steps taken to accomplish a design in the Faro Health Platform, with the Product Experience team • Support customer relationships while working closely with Customer Strategy from implementation through deployment and beyond to ensure customer success and promote adoption • Work closely with Clinical Data Solutions to provide feedback and support with maintenance of the assessments/ measurements library • Work closely with Product Management to provide user feedback for feature optimization • Contribute to feature development and evaluation through research and modeling of clinical trials in the Faro platform • Work closely with Product Experience to provide clinical expertise for the development of training materials • Ability to travel up to 50% to customer sites and to the office for team meetings, as needed

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description VOLT AI is looking for a GTM Engineer to design, build, and automate the systems that power our go-to-market motion. This is a technical role, not a traditional marketing or RevOps position. You will apply software engineering, data, and automation to scale how we generate demand, qualify leads, convert pipeline, and learn from customer interactions. You will work across CRM systems, marketing platforms, data pipelines, and the website to build end-to-end GTM automation—from first touch through revenue and expansion. This role is ideal for someone who enjoys engineering leverage into sales and marketing systems and wants to build scalable, measurable GTM infrastructure. Key Responsibilities - Own CRM data integrity, including custom objects and integrations, pipeline hygiene, attribution and reporting accuracy, and integration with marketing, product, and analytics systems. - Develop internal GTM tooling using code and automation, including APIs, webhooks, and event-driven integrations, Python and scripting for data processing and automation, and automation that reduces manual work for sales and marketing teams. - Integrate product usage and behavioral data into GTM systems to improve customer delight and retention, trigger contextual outreach and follow-ups, and support expansion and upsell workflows. - Build dashboards and analytics that provide funnel visibility from lead to revenue, conversion, velocity, and drop-off insights, and feedback loops for continuous GTM optimization. - Partner closely with sales, marketing, and product to translate GTM strategy into automated systems, rapidly test and iterate on GTM experiments, and scale what works while eliminating manual or low-leverage processes. Qualifications - 5+ years of experience in GTM Engineering, Growth Engineering, or Automation Engineering. - Strong engineering mindset with hands-on coding experience. - Proficiency in Python, JavaScript, or similar languages for automation. - Experience working with CRMs (e.g., HubSpot, Salesforce) at a systems level. - Experience integrating CRM, enrichment platforms (e.g., Clay, Apollo), and analytics systems. - Strong understanding of data flows, APIs, and event-driven systems. - Ability to work cross-functionally with sales, marketing, and product teams. Preferred Qualifications - Experience with HubSpot CRM platform. - Experience with marketing automation tools and analytics platforms. - Experience building or optimizing high-conversion websites. - Background in growth engineering or data-driven marketing. - Experience in B2B SaaS or enterprise GTM environments. - Comfort operating in fast-moving startup environments. What Success Looks Like - GTM systems are integrated, workflows are automated, reliable, and scalable. - Sales and marketing teams spend less time on manual tasks. - Funnel performance and attribution are clearly visible and trusted. - Conversion rates and pipeline velocity improve measurably. - GTM systems become a competitive advantage for VOLT AI. Salary $120,000 - $150,000 a year Additional Information At VOLT AI, you’ll apply engineering leverage to revenue generation, building systems that directly impact growth and scale. This role is for someone who wants to build GTM infrastructure, not just manage tools, and who believes GTM systems deserve the same engineering rigor as product systems. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.