
Neural Concept · Lausanne
About the Role * Neural Concept's Revenue Operations function sits at the heart of how we scale commercially. Bridging Sales, Finance, and GTM Strategy, yo...
About the Role
Strategy, you will drive the operational engine behind our revenue growth — ensuring that every deal we pursue, every resource
we allocate, and every commercial decision we make is grounded in data, financial discipline, and operational precision.
powers our growth. You will own revenue forecasting, GTM analytics, sales process design, and the systems that make our
commercial teams faster and smarter. This is not a back-office role — it is a strategic seat at the table, working side by side
with Sales, Finance, and Leadership to turn data into decisions and friction into performance.
centre of product development. At Series C, with 120+ people and 60+ global OEM customers across automotive, aerospace,
semiconductors, and defence, we are scaling fast. This is a chance to build the revenue engine of a company that is reshaping
an entire industry and work within AI with concrete and tangible real-life outcomes.
What you will do
cycles, working closely with the Finance Director. Build and manage dashboards tracking ARR, NRR, pipeline coverage, win rates,
and commercial KPIs across segments and geographies. Develop financial scenarios to support pricing decisions, headcount
planning, and growth investments. Translate commercial data into executive-ready insights and actionable recommendations for
GTM leadership.
intelligence tools), ensuring data integrity, system hygiene, and seamless integration across platforms. Proactively identify,
evaluate, and deploy AI-powered tools to streamline lead routing, pipeline management, contract workflows, and reporting.
Partner with Sales and Marketing and IT and Systems teams to automate processes and eliminate manual work across the commercial
funnel.
lead qualification through to contract signature and customer handover. Define and enforce deal desk workflows, including
approval processes, commercial terms governance, and exception management. Work closely with Sales leadership to identify and
remove operational friction slowing pipeline velocity.
accurately into financial models, planning cycles, and board reporting. Support quota setting, territory planning, and
commission model design in close partnership with the Finance Director and Sales leadership. Build financial models to evaluate
the ROI of commercial initiatives, GTM experiments, and market expansion scenarios.
segmentation, capacity planning, and resource allocation. Coordinate across Sales, Marketing, Partnerships, and Finance to
ensure alignment on targets, timelines, and priorities. Own and evolve the commercial data model, from ICP definition and
account segmentation to revenue attribution and performance benchmarking.
Who you are
enterprise software, or deep-tech environments.
forecast accuracy and stronger pipeline conversion, to reduced sales cycle length.
directly alongside Finance Directors or CFOs. You bring the rigour of a finance professional to a commercial and sales-focused
context.
growing GTM team without relying on external technical support.
models, and revenue retention, and you translate that understanding into sharp operational decisions.
comfortable evaluating new platforms, running pilots, and embedding technology into operational workflows. You see AI as a
fundamental lever for RevOps, not a nice-to-have.
Sales, Finance, and C-suite audiences.
where the playbook does not yet exist.
platforms, or contract management systems; experience designing variable compensation and commission structures.
What You Get
WE'RE PROUD TO BE AN EQUAL OPPORTUNITY EMPLOYER, AND WE'RE COMMITTED TO BUILDING A DIVERSE AND INCLUSIVE ENVIRONMENT WHERE YOU CAN
Adaptyv is building an automated lab that lets AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We’re growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE We already use AI across every part of the company — business operations automation, data analysis and reporting, AI-driven review of customer experiment data, agentic workflows for lab scheduling and customer communication, and a lab-wide assistant the team leans on. The capabilities largely exist. What's missing is someone whose entire job is taking what we've already built and making it successful: wrapped, installable, wired into the tools people use every day, and turned into the default way the company works. This is an internal-facing role focused on process optimization. You won't spend most of your time inventing new features — you'll take the capabilities that already exist across LabOS, our internal APIs, and our AI systems and make them genuinely easy to access, reliable, and adopted. The win condition is the rest of the company moving faster because the thing you built became the obvious option. In a given week, that might mean: * Wrapping our internal APIs (lab orchestration, instrument automation, experiment data) into clean, installable SDKs and MCP servers so agents and teammates can plug into them in minutes instead of reverse-engineering endpoints * Building and improving our lab-wide assistant — its system prompt, its skills, and the integrations that let it actually act through our APIs rather than just talk about it * Turning manual business processes into agents and workflows: procurement alerts, invoice reconciliation, revenue and reporting pipelines, customer update drafting * Pulling together experiment, commercial, and operational data to answer questions and surface insights the team would otherwise miss — the analysis nobody has time to do by hand * Taking a powerful-but-buried capability and making it the new default — packaging it, documenting it, putting it where people already work, and making sure it actually gets used * Setting up evals, observability, and monitoring so the systems you build and the models you use perform as expected and catch regressions automatically This is not an ML research role. You won't be training protein language models or publishing papers. You'll be building the applied AI systems, internal tooling, and glue that make a small, fast-moving team operate like one ten times its size. WHAT WE'RE LOOKING FOR * Strong software engineering fundamentals. You build production systems, not notebooks. TypeScript or Python at minimum — but ideally language doesn't matter to you, and you're comfortable in both. * Deep hands-on experience with LLMs and agentic patterns — knowing when and how to apply function calling, tool use, multi-step workflows, MCP, and retrieval to create value. You've shipped real systems, not wrappers around chat completions. * A platform instinct. You like taking something that works for one person and turning it into something the whole team can install and use — good defaults, clean interfaces, and docs that mean nobody has to ask you how it works. * Process-to-agent instinct. You look at a manual business process and immediately see where an agent or workflow would do it better. Then you build it, test it, and hand it over by Friday. * Fluent with data. You can dive into a messy database or spreadsheet, pull the right numbers, and turn them into an answer, a dashboard, or an automated report. SQL and a notebook/BI habit are second nature. * Comfortable working across every team. You'll talk to lab scientists about data review, to ops about procurement, to the commercial team about customer workflows. The AI touches everything. * Ships fast, owns the result. You prototype in a day, get feedback, iterate. And you're responsible for everything your agents produce — shipping fast does not mean dumping slop on the rest of the team. Your systems are maintainable and you can strike the right tradeoff between moving fast now and moving fast in the future. * Curious about biology. No background required, but you should find it genuinely interesting that we're building infrastructure for AI to run experiments in the physical world. Application deadline We are reviewing applicants on a rolling basis.
Who we are Artefact is a new generation of a data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe. We have 1000 employees across 20 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client. What you will be doing: Key responsibilities Your role will be encompass: * Build and lead our Consulting Department in country (P&L responsibility). The leadership structure for this Department is a partnership, similar to those found in Management Consulting firms. * Bring the best of our expertise from the other Departments to your clients on Data Science, Activation (e.g., media buying, CRM, …) and Creativity. * Impact-driven with real sales abilities, you will have to embark our clients top executives (CMOs, CDO, sometime directly the CEOs) into a transformation of their marketing department and make sure Artefact/NetBooster is their preferred partner in this endeavour. Among your responsibilities as Partner, you will : Develop the country Consulting Department * Pilot the consulting department P&L (forecast, revenue and margin, cash, reporting to country and global management) in link with the Finance department in country * Define the HR needed and the process to attract and retain the best talents from the consulting and the digital space * Ensure the best allocation of consultants resources to clients and projects (staffing) * Develop the consultants expertises through trainings and best practice sharing with the other countries (digital ecosystem, consulting hard skills, soft skills, …) * Communicate the Department successes and results at country level (ex : through events and PR) Deliver the highest standards of quality on your projects * Pilot multidisciplinary teams (consultants, data scientists, strategic planners, media traders) * Ensure the highest level of quality of output to your clients * Accountable for the success of the projects from a client and team perspective Develop client portfolio (hunting) * Build a commercial strategy to develop the country client portfolio (consulting is a very good step in the door) through personal contacts, events, cold calls, … * Monitor the commercial pipeline * Build proposals supporting the client needs Strengthen our relationships with current clients (farming) * Develop the consulting offer with existing clients, especially with Activation or Data clients * Create opportunities for other Departments with your clients (Data Science, Activation, Creativity) Develop our Global Knowledge platform * Build stronghold of knowledge through your clients engagements (frameworks, methodologies, technologies, …) * Ensure the spread of the Consulting Department knowledge across the company at local and Global level (in coordination with the Consulting Practice) What we are looking for You have demonstrated success in your first 10+ years of career at a tier 1 consulting firm and have 6+ years of experience managing projects and/or clients. * DOER : you get things done yourself and inspire your teams to do so * ANALYTIC : you LOVE data and think every company should take their decisions with facts * HUNTER : you identify business opportunities and enjoy * MOVER AND SHAKER : you have a hacker mindset and always find the quick wins * MENTOR : your clients and teams naturally seek for advice * AUTONOMOUS : you’re an entrepreneur… Why you should join us * Artefact is the place to be: come and build the future of marketing * Progress: every day offers new challenges and new opportunities to learn * Culture: join the best team you could ever imagine * Entrepreneurship: you will be joining a team of driven entrepreneurs. We won’t give up until we make a huge dent in this industry! #FR
We're all about helping brands turn ideas into impact. Frontify’s brand platform transforms how teams organize digital assets, collaborate on projects, and create engaging campaigns. Our people empower thousands of marketers and designers — including teams at Uber, Microsoft, Volkswagen, and Telefónica — to build engaging brands. With headquarters in St. Gallen, Switzerland, and offices in London and New York City, we share a vibrant culture built on creativity, collaboration, inclusion, and joy. And we’re on the lookout for new team members to share our vision. If you’re ready for a brand-new adventure, keep reading! Your team As part of Revenue Operations, you’ll be working closely with all our commercial teams including sales, customer success, partnerships, and marketing. Your team consists of highly-motivated people with diverse skill sets and backgrounds that drive and support each other. Outside of work, they’re creatives, nature lovers, socializers, and so much more. Your mission We're looking for a Senior Demand Operations Manager to become the analytical and operational engine of our Marketing Systems pod. You'll own the tools, data, and workflows that help our marketing organization understand what's driving growth and execute with confidence — from account-based marketing (ABM) and channel analytics to campaign operations and content technology. This is a role for someone who's equally comfortable diving into attribution reporting, configuring an ABM workflow, and operationalizing a complex marketing campaign. You think in systems, care deeply about data quality, and know how to turn insights into action. Working closely with Revenue Marketing, Sales Development, Partnerships, Brand Marketing, Customer Marketing, and Revenue Operations, you'll bridge marketing strategy and technical execution, ensuring every initiative is measurable, scalable, and built for impact.