We're looking for a Customer Solutions Architect to help current customers gain the most value from their dbt Cloud deployment. As a Customer Solutions Architect, you will monitor an existing book of business, lead technical discussions with customers, uncover new data challenges, and showcase how dbt Cloud can address their needs through live demos and technical workshops.

Responsibilities

• Manage a portfolio of Commercial or Enterprise customers and proactively monitor the health of your accounts, product adoption, and utilization across your book of business to identify opportunities for potential expansion and churn or contraction risks
• Improve customer loyalty and retention through building and maintaining strong relationships with key technical stakeholders within customer accounts, and understanding their analytics needs and use cases to determine where dbt Cloud can help them achieve their goals
• Increase the value customers obtain from dbt Cloud through educating your customer base on new products and features as they are launched and on existing products and features that they may not be making use of
• Collaborate closely with Sales Directors and Solutions Architects on your accounts, building strong trust-based relationships and providing strategic input on the customer lifecycle and renewals processes
• Be the voice of the customer in product discussions, work with the team to improve the way we work together, and participate in other cross-functional activities
• Participate in the knowledge loop helping to improve our processes and assets and enabling others on the team
• Create and deliver external facing content through live events, blog posts, recorded tutorials, or other content

What You'll Need

• 2+ years of experience in a post-sales role, such as a technical account manager or CSE
• A solid technical background, with a firm understanding of modern data warehousing architectures, the analytics stack, and SQL proficiency
• High degree of comfort presenting to various stakeholders or audience, ideally with experience in an externally facing role
• Ability to operate in an ambiguous and fast-paced environment and think on your feet when engaged in customer conversations
• Desire to be part of a team, both as an active member of the Customer Solutions Architect team as we continue to evolve and improve how we work, and in your day-to-day work with Sales Directors and Solutions Architects
• Openness to travel

What Will Make You Stand Out

• Bonus points for dbt certification, prior dbt experience will be very helpful in this role
• Basic python competency and advanced SQL knowledge
• Have experience with ancillary tools, managing data infrastructure, APIs, etc

Benefits

• Unlimited vacation time with a culture that actively encourages time off
• 401k plan with 3% guaranteed company contribution
• Comprehensive healthcare coverage
• Generous paid parental leave
• Flexible stipends for:
• Health & Wellness
• Home Office Setup
• Cell Phone & Internet
• Learning & Development
• Office Space

Compensation

We offer competitive compensation packages commensurate with experience, including salary, equity, and where applicable, performance-based pay. Our Talent Acquisition Team can answer questions around dbt Labs total rewards during your interview process.

OTE Range (Select Locations)

$110,000-$140,000 USD

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Your responsibilities will include:

• Prototyping apt technical solutions and finding best fits for the context engine.
• Architecting and building the core Context Platform.
• Designing schemas and primitives for Decision Memory and enterprise context.
• Owning context storage systems (graph, vector, event/time-based).
• Building read/write/query APIs used by agents, products, and external apps.
• Designing permission-aware, auditable context access.

You will be working closely with agentic systems engineers and product leadership to ensure the context engine is interoperable, portable, and zero-lock-in by design.

In this role, you will own:

• Context schemas and schema evolution strategies.
• Storage and data modeling choices.
• Platform APIs and interfaces.
• Security, identity propagation, and audit foundations.
• Long-term scalability and correctness of context data.

You will not own:

• Agent behavior or orchestration logic.
• Business rules or governance policy decisions.
• Product UI or workflow automation.

The ideal candidate will have significant experience building distributed systems, data platforms, or infrastructure, and will be comfortable operating in ambiguous, greenfield problem spaces. They will also have deep expertise in data modeling and schema design, experience designing shared platforms used by many teams, and strong instincts around APIs, contracts, and backward compatibility.

Nice to have experience with knowledge graphs, metadata systems, or search/retrieval systems, experience building systems with governance, auditability, or compliance requirements, and familiarity with dbt or modern analytics stacks or developer tooling.

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You'll sit at the intersection of engineering, product, and GTM. Your scrappy prototypes, experiments, and content will be the first touchpoint for new creators, studios, and Fortune 500 innovation teams. When you do your job well, the rest of the company feels it in tomorrow's dashboards.

Responsibilities:

• Spin up lightweight client libraries, demo apps, or event microsites in a few hours.
• Run data-driven experiments. Segment cohorts, design A/B tests, and automate reporting. We have a clear, metric-based view of acquisition cost and activation rate for every segment.
• Draft compelling blog posts, tweets, and teardown threads (zero “AI slop”).
• Our content consistently drives qualified sign-ups and sparks industry conversations.
• Own customer touchpoints: Meet prospects, debug their first calls, and represent fal at meetups and hackathons. Prospects leave every interaction saying, “These folks get it,and ship fast.”
• Identify high-leverage problems, time-box solutions, and ship. After ramp-up, you propose your own roadmap,and we mostly just say “Yes.”

Nice to have:

• Prior experience in PLG or developer-tool startups
• Familiarity with growth analytics stacks
• A portfolio of technical writing, open-source libs, or side projects

Compensation:

$170,000 - $220,000 + equity + comprehensive benefits package

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We are seeking a Head of Revenue Operations to transform how Cyngn drives revenue by building a structured, data-driven growth engine across Sales, Marketing, and Customer Success.

Responsibilities

• Revenue System Design: Build and maintain top-of-funnel architecture, including lead scoring, segmentation, conversion benchmarks, and pipeline health dashboards, and hold sales individuals accountable for meeting these benchmarks
• Data-Driven Pipeline Management: Institute stage-by-stage analytics, win/loss modeling, and probability-weighted forecasting to improve forecast accuracy and deal velocity
• Operating Cadence: Establish and lead weekly/monthly growth reviews, funnel retrospectives, and KPI forums that drive accountability across Sales and Marketing
• Tools & Data Integrity: Define CRM data schema, drive CRM hygiene standards, and implement analytics tooling to extract actionable insights (CRM, attribution, forecasting, dashboards)
• Cross-Functional Collaboration: Partner with Sales Leadership, Marketing, Product, and Finance to align on ICP definition, lead generation strategy, and growth priorities
• Performance Measurement: Define success metrics and attribution models for lead sources, campaigns, sales activities, and revenue outcomes

Qualifications

• Experience: 8+ years in Revenue Operations, Sales Operations, or similar GTM analytics role in B2B SaaS or enterprise software environments
• Analytical Rigor: Strong background in data analytics, forecasting, funnel modeling, and KPIs (experience with CRM systems and BI tools required)
• Revenue Growth Mindset: Proven track record of building systems that accelerated pipeline velocity and improved forecast precision
• Process Builder: Skilled in translating business goals into repeatable processes and dashboards that scale with the business
• Collaborator: Fluency working cross-functionally with sales, marketing, finance, and product to unify GTM execution against strategic metrics
• Communication: Ability to present data clearly to executives, drive cross-team alignment, and influence without authority

Bonus Qualifications

• Experience in Robotics, IoT, SaaS, or other high-tech B2B environments
• Strong CRM and analytics stack fluency (e.g., Salesforce, HubSpot, Tableau/Looker, Outreach, Marketo)
• Track record of driving measurable growth improvements through operational excellence

Benefits & Perks

• Health benefits (Medical, Dental, Vision, HSA and FSA (Health & Dependent Daycare), Employee Assistance Program, 1:1 Health Concierge)
• Life, Short-term and long-term disability insurance (Cyngn funds 100% of premiums)
• Company 401(k)
• Commuter Benefits
• Flexible vacation policy
• Remote or hybrid work opportunities
• Sabbatical leave opportunity after 5 years with the company
• Paid Parental Leave
• Daily lunches for in-office employees and fully-stocked kitchen with snacks and beverages
• Monthly meal and tech allowances for remote employees

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