Senior AI solutions Engineer, Verity
+ Variable bonus program
Autonomous inventory tracking powered by self-flying drones
Be an early applicant
Autonomous inventory tracking powered by self-flying drones
101-200 employees
Be an early applicant
+ Variable bonus program
101-200 employees
Company mission
To transform industries with reliable, autonomous intelligence.
Role
Who you are
- 5+ years in a highly technical, data-driven role (e.g., AI Solutions Engineer, Analytics Engineer, or Solutions Architect), including 2+ years deploying LLMs in production, orchestrating multi-tool agentic workflows, and using modern connection protocols
- Proven experience with enterprise clients: strong consultative, communication, and storytelling skills to present technical data to non-technical stakeholders, plus the ability to unpack business friction points and architect scalable technical solutions
- Advanced prompt engineering (fine-tuning retrieval strategies, managing context windows for production LLMs) and demonstrable experience designing, building, or configuring MCP servers to connect LLMs to external data sources and enterprise APIs
- Strong SQL (PostgreSQL, Presto) for querying, transforming, and statistically analyzing complex data, plus expert-level dashboard wireframing and design for clean, actionable executive reporting
- Deep familiarity with REST/GraphQL APIs, webhooks, and OAuth, and Python proficiency (Pandas, NumPy, FastAPI) for data manipulation, backend automation, and building/testing/deploying MCP servers
- Ability to turn raw product telemetry into strategic insight for CSMs, and comfort acting as translator between Data Engineering and commercial/success teams
Desirable
- Experience working closely with, or embedding tools within, Customer Success, Sales Operations, or Revenue Operations ecosystems
- Familiarity with our broader tech stack, including: Claude Cowork, Claude Code, and Claude Skills, plus LLM frameworks such as LangChain/LlamaIndex; Apache Superset; Python with Scikit-learn, RStudio, and PyCharm/VS Code; AWS QuickSight and Microsoft Power BI; and Git, the AWS ecosystem (Lambda, S3, Athena), and Apache Airflow
What the job involves
- Verity is looking for a Senior AI Solutions Engineer to revolutionize how our Client Executives (CEs) and Client Success Managers (CSMs) work. In this role, you'll design, build, and deploy intelligent automations and LLM integrations that accelerate prospect research, automate CRM workflows, and extract deep product adoption insights
- Working closely with Verity's Product Data Engineering team, Revenue Operations, and directly with clients, you'll translate complex data into actionable insights that drive product adoption, mitigate churn risk, and unlock measurable ROI for our customers
- AI Integration & Automation: Architect and deploy LLM-powered agents and workflows using Model Context Protocol (MCP) to seamlessly connect AI models with core tools like Salesforce, Salesintel, HubSpot, Jira, and Confluence
- Enablement Tools: Build autonomous research and productivity tools that assist CEs and CSMs with deep client/prospect backgrounding, real-time market research, and automated data entry/syncing between Salesforce and Jira
- Data Synthesis & Insights: Collaborate with Verity's Product Data Engineering team to analyze product usage and customer data, translating it into strategic insights that help CSMs proactively identify churn risks and uncover expansion opportunities
- Analytics & Dashboards: Design, build, and maintain production-grade analytics dashboards to track key performance indicators (KPIs) regarding platform performance, customer health, and operational efficiency
- Client Engagement & Consultation: Act as a technical consultant, occasionally interfacing directly with clients to understand their data environments, help them maximize the ROI of Verity's solutions, and drive overall value realization
Our take
While supply chain automation has been a major focus for investment in recent years, inventory management has been left behind, with the work of checking stock levels usually carried out manually. Verity aims to change this with a fleet of autonomous indoor drones that can be deployed to automatically check an entire warehouse's inventory, completely removing the need for expensive and error-prone manual processes.
As the only commerically viable product in this space, Verity currently faces very little competition. And it now works with major players like Ingka, DSV, and Performance Team (a Maersk Company. Their drones bring error rates down to zero within a year, reducing carbon emissions, and deliver quick ROI for clients.
Beyond warehouses, Verity also powers cutting-edge visual effects for live shows, helping artists like Céline Dion, Justin Bieber, Metallica, and Cirque du Soleil light up stages worldwide. With this strong commercial traction across industries, Verity is very well-positioned to scale even further and lead the future in autonomous inventory and event tech.
Freddie
Company Specialist at Welcome to the Jungle
Insights
30% employee growth in 12 months
Company
Company benefits
- Flexible vacation policy
- Vibrant and fun work culture
- Flexibility for your lifestyle
- Dog-friendly office, snacks and coffee
- Support for professional development
- Stock ownership plan
- Relocation support
Company HQ
Seebach, Zürich, ZH
Leadership
Raffaello D'Andrea
(Founder & CEO)Raffaello has been a Professor of Dynamic Systems & Control at ETH Zürich since 2008. They also previously co-founded ROBO Global where they served as an Advisor for 11 years.
Markus Hehn
(Co-Founder & CTO)Prior to co-founding Verity, Markus was a Doctoral Candidate at ETH Zürich, researching control algorithms for aerial vehicles. Before that, they were a Hybrid Systems Project Student at Bosch and an Engineering Intern with Mercedes-Benz.
Markus Waibel
(Co-Founder & COO)Previously a President of DIAS, Switzerland, and the co-founder of Robohub and The ROBOTS Association.
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