Senior Delivery Manager, Enterprise AI

职位要求 / 描述

Lazer https://www.lazertechnologies.com is a world-class digital product studio composed of 180+ senior engineers and designers with backgrounds from companies like Apple, Google, Coinbase, and more. With our product experience, we have designed, engineered, and grown products from $0 to $200M in revenue. Clients seek out our help because we have the talent to deeply understand their needs and provide industry, technical, or product insights that are uniquely valuable to their efforts. Our clients range from early-stage startups and venture studios to recognizable retail brands and exciting enterprises. Some of our notable clients include Google, Shopify, Coinbase, Alchemy, Hinge, OVO, Polymarket, and more. We are a remote-first organization headquartered in Toronto, Ontario, with employees worldwide. We believe in providing the best experience possible for all Lazerites by fostering a strong community through regular events, company vacations, competitive compensation, unlimited PTO, and more! Join Lazer and help us solve problems and build the next generation of products! WHO YOU ARE - 7+ years at a top-tier consulting firm (McKinsey, BCG, Accenture, Deloitte, or equivalent) or an enterprise technology services environment; you have a proven track record delivering complex software initiatives end-to-end — owning scoping, execution, and launch. Startup or agency backgrounds are a plus, not a substitute for enterprise consulting experience. - Strong commercial instinct; you've managed enterprise client relationships worth $1M+ and know how to turn strong delivery into expanded engagements. Farming is a core part of how you operate — you identify opportunities early, close expansions, and grow the accounts you own. - Deep experience working directly with enterprise clients in a B2B or services environment; you manage relationships across C-suite, product, and engineering simultaneously, navigate ambiguity, and maintain trust in high-pressure, multi-stakeholder environments. - Strong operator with an unblocking mentality; you surface risks early, introduce structure where there is none, improve how teams work, and take ownership of getting work across the finish line — in both structured enterprise environments and ambiguous ones. - Comfortable operating on-site with clients; periodic embedded engagement is an expectation of this role. You show up in person at the moments that matter, thrive inside the client's environment, and build trust that goes beyond the project. - AI-forward in how you work; you use AI tools daily to automate your own workflows — status updates, reporting, communications — so your time stays focused on the relationships and decisions that only you can handle. Deep technical AI expertise is not required. Not actively using AI is a non-starter. - Technically fluent; you can work closely with engineers, understand system constraints, and translate clearly between technical execution and business outcomes.   What You'll Do - Own delivery end-to-end; scope projects with clients and engineering teams, define clear roadmaps, break work into phases, identify dependencies, and maintain momentum across large-scale, multi-workstream engagements through shifting priorities. - Be the structure your client cannot build themselves; define workstreams, establish operating cadence, and bring clarity to complex, ambiguous environments — and own the narrative of every engagement so every deliverable is paired with a clear story of its impact, tradeoffs, and next steps. - Navigate and actively manage multiple stakeholders; maintain a clear view of decision-makers, influencers, and blockers, and ensure alignment across product, engineering, and leadership. Operate effectively within enterprise environments — manage structured processes, reporting expectations, and cross-team dependencies while continuing to drive progress. - Act as a forward deployed operator; embed with client teams on-site

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