Description
👋 Klue Engineering Leadership is hiring!
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. Best of both worlds (remote & in-office)
- Our office is located in central Amsterdam.
- You and your team will be in office at least 2 days per week.
Total compensation & benefits:
- Benefits. We currently have a pension plan for our EU team.
- Time off. Take what you need. We want the team to prioritize wellness and avoid burnout. We want to also give individuals autonomy to choose how and when they take vacation. We understand and respect that everyone’s needs for time off are different, just like our team.
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