As an Engineering Program Manager, you will:

• Communicate: Provide clear, timely and objective communication across the tech organization, between Cohere teams, to company leadership, and with external partners & customers.
• Optimize: Coordinate ideation-to-action and break down complex issues into strategies to drive engineering alignment with product, business, and marketing, maintaining teamwork and collaboration. Be the voice of expertise when it comes to operational excellence.
• Plan: Create and manage project schedules with clear dependencies, critical path and systematic methodology. Manage risks and mitigations, and re-plan as events warrant. Drive alignment across the organization and between teams.
• Execute: Drive on-time delivery and deployment, identifying development and feasibility needs, and establishing achievements for checkpoints and status updates.
• Problem solve: Proactively identify issues and solutions, and marshal resources necessary to attack and resolve blockers. Coordinate with teams to identify, track, and prioritize impacts to schedule and product quality, especially across cross-functional collaborations and dependencies.
• Drive Culture: Build relationships and be a trusted colleague to turn challenges into solutions throughout the Tech Org and across the company. Use your big-picture perspective and leverage this to impact culture, making everyone’s day-to-day workflow better, and fundamentally improve cross-functional relationships at Cohere.
• Inspire: Build your ML domain understanding to provide supportive partnerships with other Cohere leaders. Nurture an environment where everyone in the team can share openly, commit to their responsibilities, and collectively work towards achieving the goal.

You may be a good fit if you:

• Have 3+ years working as an Engineering or Technical Program or Project Manager in direct partnership with machine learning engineers on consumer product development. Will consider less EPM or TPM experience if you have professional experience as an ML developer or ML scientist.
• Have owned the delivery of multiple consumer-facing software products requiring large organizations (50+ employees) to execute to a delivery schedule (experience leading and supporting new “0-to-1” initiatives is a plus); startup experience is great, but you should have also spent multiple development cycles on an established product.
• Can give multiple examples demonstrating the project management skills to structure, track and handle several simultaneous machine learning work streams across cross-functional (e.g. engineering, product, business) teams.
• Use data and metrics to extract insights, back up or challenge assumptions, make recommendations, prioritize features, and drive actions.
• Are an expert at communicating concisely and effectively in a variety of ways, and can instill confidence and trust with key partners (e.g. business, product, marketing, designers, OS engineers, ML researchers) with your initiative.
• Consider yourself to be self-motivated, resilient, and inspiring with a bias for action; demonstrate creative and critical thinking capabilities; can quickly (real-time) triage, prioritize, and lead under pressure.
• Are comfortable with ambiguity and have a successful track record of navigating complexity clearly and decisively.
• Familiar with Cohere and experience with the NLP product space (especially LLMs and Embeddings models) before you apply and are excited about the application of machine learning to solve language-specific consumer challenges.