Senior ML Engineering Manager
Amsterdam, North Holland
Klue
Grow your relevance, leads, and sales with Unbounce. Use Unbounce to easily create and optimize landing pages for your small business and boost conversions with AI insights.The Klue team is growing, and we're looking for a Senior Engineering Manager to lead our ML Insights team.In this role, you'll lead a team of 8 Backend + Machine Learning engineers to support and build the future of Competitive Enablement.
💡 FAQ
Q: Klue who?A: A: Klue is a VC-backed, capital-efficient growing SaaS company. Tiger Global and Salesforce Ventures led our US$62m Series B in the fall of 2021. We’re creating the category of competitive enablement: helping companies understand their market and outmaneuver their competition. We benefit from having an experienced leadership team working alongside several hundred risk-taking builders who elevate every day.
We’re one of Canada’s Most Admired Corporate Cultures by Waterstone HC, a Deloitte Technology Fast 50 & Fast 500 winner, and recipient of both the Startup of the Year and Tech Culture of the Year awards at the Technology Impact Awards.
Q: What is the focus of this team?
A: This team is responsible for generating insights from the large datasets that we collect, using a combination of classic ML and Gen AI tech. Our Machine Learning Engineers are primarily focused on the training, evaluation, and deployment of models to label, score, cluster, and generate insights. Some of the projects we are working on include:Implementing real-time trend detection across a spectrum of data sources.Customizing news feeds for a personalized user experience.Enabling automated insights from all data sources = news, competitor website changes, call transcripts, reviews, emails, pdfs, decks and docsRetrieval Augmented Generation for Question-answering
Q: What technologies do we use?
A: Python, Transformers, Pytorch, Hugging Face, Spacy, Sklearn, Pinecone, Kubeflow, Vertex AI, BentoML, Aporia, JS, PostgreSQL, Elasticsearch, Redis, GCP, BigQuery, Docker/Kubernetes, Github, GPT.We believe in using whatever tools make sense to get the job done and support our game-changing innovation.
Q: What are the responsibilities, and how will I spend my time?
- 60% People Leadership (recruiting, hiring, mentoring, 1:1s, career progression)- 20% Project Management (backlog grooming, retrospectives, prioritization, milestone planning and management) - 10% Technical Leadership (you'll work with others to shape Klue's engineering organization...architecture, quality control, tech debt, code review, etc)- 10% Individual Contributions (you're not afraid to get your hands dirty and dig into our codebase...software engineering, testing, deployments, etc)
Q: What experience are we looking for?
- We’re looking for someone with experience in technical and people leadership and with proven experience delivering high-value outcomes and strategy through solid engineering management.
- 2+ years with direct management responsibilities with an engineering team
- 5+ years of total software engineering experience, with a focus on Machine Learning
- BS, MS, or PhD in Computer Science or a related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience
- Experience setting a vision and iteratively delivering progress to it
- Ability to mentor team members on having the highest possible impact
- Strong analytical capabilities to optimize solutions in a space with a lot of complex moving pieces, variables, and innovations
- You have worked at a fast-growing start-up or SaaS with high-volume data and are eager to contribute in such an environment
Q: What aspects are we considering when evaluating level?
- Impact: Ensuring your team delivers extraordinary output, and continuously seeks ways to make an outsized impact.
- Innovation + Agility: Making the team nimble by encouraging bold and innovative approaches, growth mindset, experimentation, and listening to customer insights to achieve better results.
- Decision Making: Strategic thinking, ability to break down complex problems into simple solutions, and leveraging insights and working cross-functionally with partners from our Product Team.
- Team Development: Growing and developing an intellectually curious team of hardworking and motivated engineers with high expectations around individual ownership and impact.
How We Work at Klue:
- Hybrid Work. Our main Canadian hubs are in Vancouver and Toronto, and most of our Product, Design, and Engineering Teams are located in EST and PST. Ideally, this role would be located in Toronto or Vancouver. Your team will be in office at least 2 days per week, if you are within a reasonable commuting distance of the office, we’ll see you there!
Total compensation & benefits:
- Time off. Take what you need. We want the team to prioritize wellness and avoid burnout. Vacation usually falls into 3 categories: recharging, life-event, & keeping a work-life balance. Just ensure the required work gets done and clear it with your team in advance. You need to take at least two weeks off every year. The average Klue team member takes 2-4 weeks of PTO per year.
- Benefits start on day one!
Lastly, we take potential into consideration. An equivalent combination of education and experience may be accepted in lieu of the specifics listed above. If you know you have what it takes, even if that’s different from what we’ve described, be sure to explain why in your application. Reach out and let’s see if there is a home here for you now or in the future.
We’ve committed to support and contribute to a diverse environment; on our teams and our community. We’re early in our journey; we've started employee-led resource groups, committed to Pay Up For Progress, and use success profiles for roles instead of 'years of experience'. We continue to scale our efforts as Klue grows. We’re proud to be an equal opportunity employer and have dedicated that commitment to our current and future #kluecrew. During the interview process, please let us know if there is anything we need to make more accessible or accommodate to support you to be successful.
Most interviews will be conducted via video calls. We work in a hybrid model of WFH (remote) and in-office, and we'd like to, where possible conduct some interviews in person. We’re excited to meet you and in the meantime, get to know us:
🌈 Pay Up For Progress & 50 - 30 Challenge & Klue Blog✅✅ Win-Loss Acquisition (2023)🅰️ Series A (2020)🐅 Series B (2021)🏆 Culture, culture, culture! 🎧 Winning as Women & Competitive Enablement Show🔍 Glassdoor🐝 About Us🐥 Twitter📸 Instagram☕️ LinkedIn🦄 Wellfound (AngelList)
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture BigQuery Computer Science Docker Elasticsearch Engineering GCP Generative AI GitHub GPT Kubeflow Kubernetes Machine Learning Mathematics PhD Physics Pinecone PostgreSQL Python PyTorch Salesforce Scikit-learn spaCy Testing Transformers Vertex AI
Perks/benefits: Career development Competitive pay Flex vacation Startup environment
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