Account Executive, Deeploy
Responsible AI platform
Posted today
Responsible AI platform
1-20 employees
Posted today
1-20 employees
Company mission
To implement explainable, accountable, and manageable Machine Learning models while enabling interaction between humans and AI.
Role
Who you are
- Passion for AI Governance: Experience with, or a genuine interest in, GRC, Data and AI, so you can hold a credible conversation with risk and compliance buyers around AI Governance, with familiarity with the EU AI Act or adjacent regulation
- Complex deals: An existing network in the Netherlands, working with regulated industries like life science, pharma, banks or insurers, and experience selling into enterprise accounts with long, multi-stakeholder cycles
- Claiming ownership: Comfortable owning a full cycle with founders actively involved, not handed a closed process to execute. Not afraid of making your hands dirty to build pipeline, chase deals, organize and attend events and grow network
- Founder-mode: Ready to step into a startup, trading structure and certainty for ownership and pace. You're entrepreneurial, take ownership and focus on results. Preferably, you have been a founder yourself, or held an early commercial role at a startup
- Working proficiency in English, Dutch is a plus
What the job involves
- Own the full cycle for enterprise deals, from qualification through demo, procurement and negotiation to close. You are used to finding your own ways in, through events, outbound or marketing, and are not afraid to chase deals.Work with regulated companies, such as pharma and financial services, where the GRC (governance, risk and compliance) function is often the entry point
- Navigate and drive complex, multi-stakeholder enterprise deals involving risk, compliance, legal, IT, and business sponsors
- Work closely with Marketing on messaging, campaigns and events to generate qualified pipeline
- Feed field insights back into marketing positioning, so our campaigns reflect what buyers actually respond to
- Represent Deeploy at events and roundtables aimed at GRC and AI governance audiences. Be on stage and advocate of our company once you're ready. That is, by week 2 ;)
- Help shape the commercial function as we continue to build it out: refine how we collaborate as a team, as well as qualify, forecast and run deals as the team grows
- Contribute to onboarding and coaching as the team grows
- Own the activities we define together: help drafting materials, organise events, streamline or automate our processes, or build agents to assist us in our work
- Bring a point of view on how regulated buyers evaluate AI governance tools, and where Deeploy fits against alternatives
- Feed deal learnings into the roadmap and into how we position against competing approaches
- This role sits at an intersection: commercially sharp enough to run a complex enterprise cycle, technically credible enough to hold a conversation with an IT, risk, or compliance lead, and comfortable building and refining processes in a startup environment where change is a given
Application process
- Application: Share your LinkedIn/CV and anything you've worked on that you're proud of
- Introductory call: A 30-minute chat to introduce our team and learn more about you
- Personal and team fit: A 60-minute conversation with two people you'd work with closely
- Case study: A timeboxed case (3 hours) presented in a follow-up meeting with two team members
- Offer: If we're a fit, we'll extend an offer and welcome you aboard
Our take
Founded in 2020, Deeploy has hit the market at the perfect time for the wider tech community to make the most of its offerings. Aimed at promoting transparency and accountability within the often opaque development of AI, Deeploy’s platform provides human-explainable AI for use in ML operations. This will no doubt become an increasingly vital asset as governments and watchdogs start implementing stricter regulations on machine learning deployments.
Whilst AI is being rapidly deployed to make businesses smarter and more efficient, accountability can get lost in the rush. The founding team of Utrecht’s Deeploy has a long history of working within AI analysis roles and wants to make sure that human teams actually know what AI is doing, so that machine errors can be corrected.
This cautious and transparent approach to artificial intelligence has played well with investors, Deeploy having been awarded seed funding from a range of European investors in 2022 and 2023. Deeploy is using this capital to expand its software development, attract larger enterprise customers and build out its sales team to lay the groundwork for future expansion. Eventually, Deeploy plans to extend its operations into cloud-based software to provide more scalable and powerful tools to keep AI accountable.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Oct 2024
$2.5m
GRANT
Jun 2023
$3m
SEED
Total funding: $6.7m
Company benefits
- Performance-based incentives and the possibility to participate in equity
- Work directly with the founding team and grow toward a leadership position within 12 months
Company HQ
Lange Elisabethstraat Mariaplaats, Utrecht, Netherlands
Leadership
Maarten Stolk
(CEO)Currently the Co-Founder of Enjins. Previously Data Scientist at VODW, EscolherSeguro, and an Analyst at Towers Watson.
Bastiaan van de Rakt
(CCO)Currently the Co-Founder of Enjins and Investor at Planblue and Goboony.
Tim Kleinloog
(CTO)Was previously Lead Machine Learning Engineer at Enjins, Senior Advisor of Data Science at EY VODW and a Marketing Intelligence Analyst at Eneco Group.
Nick Jetten
(CMO)Currently CEO at Enjins. Previously was Senior Consultant Data Science at VODW, Data Strategist at Mobly and Analyst at Isobar.
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