Partner Agent Operations Specialist

ABOUT CLICKHOUSE Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads. The company’s sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla. We’re on a mission to transform how companies use data. Come be a part of our journey! We are looking for a GTM Engineer to build the AI and automation that make ClickHouse's go-to-market motion faster, smarter, and more scalable. This is a builder role. You will design, build, and ship the systems, agents, and workflows that take manual work off the team and put usage and customer signals to work across the lifecycle. ClickHouse runs on a consumption model, where the returns from instrumenting and automating the customer journey are large and mostly uncaptured. This role exists to capture them. As part of the Revenue Operations team, you will work directly with Sales, Solutions Architecture, Marketing, and RevOps to find the highest-value opportunities and turn them into working systems. This is an individual contributor role for someone who wants to build, own what they ship, and set the standard for how AI shows up in our go-to-market. WHAT YOU'LL BE DOING * Design, build, and ship AI and automation across the GTM motion: prospecting and enrichment, lead routing and activation, outbound and follow-up, deal and technical sales support, and expansion and retention signals. * Build agents and workflows that run reliably at scale and take repetitive work off Sales, Solutions Architecture, and Marketing. * Instrument the customer lifecycle. Connect the GTM systems and data so usage and telemetry signals flow to the right place and trigger the right action automatically. * Partner with the field to find where AI and automation create real gains, and turn those opportunities into systems people actually use. * Own what you build end-to-end. Design it, deploy it, measure whether it moves a real number, and keep improving it. Stand up evals and monitoring so AI output stays reliable in production. * Set the standards and guardrails for AI in GTM: data quality, prompt and eval discipline, human review where it matters, and controls that keep automated actions safe. * Track the AI and automation tooling landscape and bring the best of it into how ClickHouse goes to market.   WHAT YOU BRING ALONG * 5+ years building automation and tooling in a GTM, RevOps, or growth engineering context, with systems you have shipped and run in production. * Production experience with the GTM stack: Salesforce as the system of record, Gong and Gong Engage for conversation intelligence and sequencing, and the engineering layer beneath them: Vercel, Clay, n8n, enrichment providers, and both transactional and analytical databases (Postgres and ClickHouse). You have shipped and operated these in production at real scale. * Hands-on development in Python, TypeScript, and JavaScript. * Fluency with modern AI tooling: LLM APIs, agent and orchestration frameworks, prompting, evals, and retrieval with embeddings and vector search. You know how to get reliable behavior out of probabilistic systems, and you use eval and observability tooling like Langfuse to keep them reliable in production. * Strong data-activation skills: SQL, APIs, and integrations, transformation with dbt, and moving warehouse data into the GTM stack and back. * A builder who ships. You are comfortable owning something from idea to working system, and you measure it by whether it runs reliably and moves a real number. * Owner-operator mindset. You treat what you build as a system you own end-to-end: you build it, you run it, you fix it when it breaks, and you keep making it better. * Judgment about where AI and automation help and where they create risk. You know when to automate a workflow fully, when to keep a human in the loop, and when to leave a process alone. * Familiarity with usage-based or consumption-based business models is a plus. You understand how usage and telemetry signals drive expansion and retention. * Strong written and verbal communication. Comfortable partnering across the field and explaining what your systems do and why. * Bachelor's degree in engineering required. A master's degree is a plus. The typical starting salary for this role in the US is $145,000—$195,000 USD The typical starting salary for this role in US Premium Markets is $165,000—$225,000 USD COMPENSATION For roles based in the United States, the typical starting salary range for this position is listed above. In certain locations, such as the San Francisco Bay Area and the New York City Metro Area, a premium market range may apply, as listed. These salary ranges reflect what we reasonably and in good faith believe to be the minimum and maximum pay for this role at the time of posting. The actual compensation may be higher or lower than the amounts listed, and the ranges may be subject to future adjustments. An individual’s placement within the range will depend on various factors, including (but not limited to) education, qualifications, certifications, experience, skills, location, performance, and the needs of the business or organization. If you have any questions or comments about compensation as a candidate, please get in touch with us at paytransparency@clickhouse.com [paytransparency@clickhouse.com]. PERKS * Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 20 countries. * Healthcare - Employer contributions towards your healthcare. * Equity in the company - Every new team member who joins our company receives stock options. * Time off - Flexible time off in the US, generous entitlement in other countries. * A $500 Home office setup if you’re a remote employee. * Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. Culture - We All Shape It As part of a rapidly scaling start up, you will be instrumental in shaping our culture.  Are you interested in finding out more about our culture?  Learn more about our values here [https://clickhouse.com/company/careers].  Check out our blog posts [https://clickhouse.com/blog] or follow us on LinkedIn [https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true] to find out more about what’s happening at ClickHouse. Equal Opportunity & Privacy  ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.  Please see here [https://clickhouse.com/legal/applicant-privacy-notice] for our Privacy Statement.

At Locus Robotics, we build AI-powered systems and intelligent robots that keep global supply chains running. Our platform combines advanced AI, real-time decision-making, and autonomous robotics to help leading companies improve efficiency, scale operations, and adapt to constant change. Locus Robotics is a place to do meaningful work with real-world impact, where your ideas move quickly from concept to deployment. We invest in our people, encourage continuous learning, and give you the opportunity to grow your career while building technology that is used every day at global scale. The Technical Director, AI Enterprise Architect is a highly visible, hands-on individual contributor (IC) role with a direct mandate from the executive leadership team. As a strategic and technical leader, you will serve as a force multiplier across the organization, partnering with senior stakeholders to identify high-impact AI opportunities, translate complex business challenges into scalable AI-native solutions, and drive execution from concept through adoption. This is a rare opportunity to join one of the largest privately held robotics companies in the United States at the forefront of Physical AI. You will play a pivotal role in shaping and accelerating an enterprise-wide AI transformation initiative with full CEO and Board-level sponsorship. Working across business and technology functions, you will have significant influence over AI strategy, architecture, implementation, and measurable business outcomes—owning both the direction and the impact of the company's AI-first vision. This is both a strategy and build role - you will define the roadmap, architect the platform, and lead execution. Responsibilities Enterprise AI Transformation Strategy: Define and drive the company-wide AI roadmap, including prioritization frameworks, sequencing of initiatives, and executive alignment. Ensure a relentless focus on business outcomes rather than tool adoption. AI-Native Workflow Redesign: Partner with leaders across Sales, Customer Success, Finance, Operations, and Marketing to identify high-leverage opportunities. Redesign processes from the ground up into AI-native, automated workflows. AI Systems & Agentic Workflow Development: Design, build, and deploy production-grade AI systems, including agentic workflows that automate end-to-end processes. Own the full lifecycle—from scoping through deployment, monitoring, and iteration. LLM & Data Integration Architecture: Architect scalable LLM-powered systems, including retrieval-augmented generation (RAG), unified context layers, and integration frameworks that connect enterprise data sources. Data & Platform Engineering: Design and implement robust data pipelines, integration layers, and shared infrastructure that enable reusable, enterprise-wide AI capabilities. Ensure reliability, scalability, and accessibility across systems. AI Governance, Security & Standards: Establish frameworks for model governance, risk management, data access, and security. Define standards for tools, evaluation, and responsible AI usage. Technical Leadership & Culture Building: Drive AI adoption across the organization by mentoring leaders, establishing best practices, and fostering AI-native ways of working. Core Expertise * Deep expertise in modern AI techniques, including transformer architectures, multimodal systems, and LLM application design. Strong understanding of: Fine-tuning and adaptation (LoRA, PEFT, RLHF/DPO), RAG systems, embeddings, and tokenization and Prompt engineering and tool-augmented agents * Proven track record designing and operating production-grade AI systems that deliver measurable business impact (e.g., efficiency, revenue growth, cost reduction, user experience). * Experience embedding AI into core enterprise systems (CRM, ERP, knowledge systems, collaboration platforms) to enable end-to-end workflow transformation. * Strong grounding in: Data engineering (ETL/ELT, pipelines, APIs), Data architecture (Lakehouse, storage systems), Metadata systems (catalogs, lineage), Governance, security, and compliance frameworks Qualifications * Bachelor’s degree in Computer Science, Engineering, or a related technical field required; Master’s or PhD preferred * 5+ years leading enterprise AI or digital transformation initiatives, with demonstrated ownership of strategy through execution * 5+ years of hands-on experience in software engineering, data engineering, or AI/ML roles, with strong proficiency in Python and modern cloud platforms (AWS, Azure, or GCP) * Proven experience designing and deploying production-grade AI systems, including agentic workflows that automate end-to-end processes and drive measurable business outcomes * Deep expertise in LLM-based systems, including RAG architectures, prompt engineering, tool integration, and enterprise use of foundation models (e.g., GPT-4, Claude, or equivalent) * Strong foundation in data engineering and architecture, including ETL/ELT pipelines, APIs, Lakehouse environments (e.g., Databricks), and data quality/governance frameworks * Experience building scalable AI platforms including: Shared services, connectors, and agent frameworks, eEvaluation and observability tooling and deployment and scaling infrastructure * Ability to operate at both strategic and deeply technical levels- prototyping, architecting, and delivering complex AI systems in production environments. * Working knowledge of classical machine learning techniques (regression, classification, anomaly detection, time-series forecasting) and when to apply them vs. LLM-based approaches * Demonstrated ability to translate business problems into scalable technical solutions, with strong business acumen and outcome-driven thinking * Excellent English communication and leadership skills, with the ability to engage both technical teams and executive stakeholders and drive cross-functional alignment The expected base salary range for this role is $200,000 - $300,000 annually, based on external market data, plus bonus and equity.  Actual offers will depend on factors such as the candidate’s experience, education, training, key or critical skills, geographic location, and current market and business conditions Additional Information  Locus Robotics is an equal opportunity employer. Application Fraud Detection Notice: To help maintain a fair and secure hiring process, Locus Robotics may use AI-assisted and other automated tools to detect suspected fraud, misrepresentation, or misuse of the application process. Hiring decisions are not made solely by automated means unless otherwise disclosed where required by law.  It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.  Additional Information  Locus Robotics is an equal opportunity employer. Application Fraud Detection Notice: To help maintain a fair and secure hiring process, Locus Robotics may use AI-assisted and other automated tools to detect suspected fraud, misrepresentation, or misuse of the application process. Hiring decisions are not made solely by automated means unless otherwise disclosed where required by law.  It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.