Later

Senior AI Automation Engineer

Vancouver, British Columbia, Canada · Senior

Sponsorship not specified$110k-$160kDetected 12 days ago

LLMsRAGAccessibilityInfluencer MarketingCustomer SuccessLeadershipCommunicationCollaborationMentoring

About the role

By combining real creator relationships, trusted intelligence, and expert guidance, Later removes fear and guesswork from one of marketing's most visible investments.
About this position: We're hiring an AI Automation Engineer to embed across teams at Later, Operations, Finance, Marketing, Customer Success, and beyond, and replace manual, repetitive work with durable AI-powered tooling.
This is a high-leverage role for someone who gets energy from solving real business problems, ships pragmatic v1s in days rather than months, and knows when a scrappy prototype needs to be hardened into something the whole org can rely on.

Build automations and internal tools using AI-native platforms, scripting, APIs, and whatever else gets the job done, pragmatism over purity.
Ship working v1s quickly so stakeholders can validate value before investment scales.
Wire together LLMs, agents, RAG patterns, and prompt design with existing systems to deliver real workflow outcomes.
Build the monitoring and documentation that lets automations run unattended and recover gracefully when they don't.
A measurable lift in the number of non-technical colleagues confidently building their own automations, supported by templates, documentation, and coaching you've put in place.
Recognition as the go-to partner across Operations, Finance, Marketing, and Customer Success for 'can this be automated?' and 'is this worth automating?' questions.
Building & Shipping
Coach and advise non-technical colleagues who are building their own automations: review their work, unblock them, and level up their skills over time.
Identify patterns across teams and build shared components, templates, and frameworks that compound the org's automation leverage over time.
Create reusable building blocks (prompt libraries, integration patterns, automation templates) that turn individual wins into org-wide capability.

Comfort with data: pulling it, cleaning it, and reasoning about it.
We are committed to building an inclusive, supportive place for you to do the best and most rewarding work of your career. If you identify with any of the following, we encourage you to apply!
A track record of building and shipping automations, internal tools, or AI-powered workflows that delivered measurable business impact.
Strong fluency with modern AI tooling (LLMs, agents, RAG, prompt design) and comfort wiring together APIs, scripts, and no-code/low-code platforms.
A business-first mindset: you start with the problem and the user, not the technology, and can sharpen a non-technical partner's problem definition through the right questions.
Resourcefulness and a bias to action: you ship a working v1 in days, not months, and iterate from there.
An instinct for scale, knowing when something is good enough as a one-off versus when it needs to be built to serve the whole org.
Strong written and verbal communication skills, with the ability to explain technical tradeoffs to non-technical audiences and coach others to build their own solutions.
A background in supporting or training non-technical builders (citizen developers, ops teams running their own tooling) is a bonus.
How you work:
Driven by Impact: You deliver results that matter-prioritizing high-value work, meeting deadlines, and adapting quickly while keeping outcomes clear.

Experience in an internal-tools, RevOps, BizOps, or 'applied AI' function is a plus.

Run lightweight enablement (working sessions, office hours, shared documentation) that grows the citizen-developer community at Later.
Communicate technical tradeoffs clearly to non-technical audiences and teach others to fish.

We take a market-based & data-driven approach to compensation.
We leverage data from trusted third-party compensation sources to help us understand the market value of a role based on function, level, geographic location, and scope.
We evaluate compensation bi-annually, including performance and market-related factors.
Our salaries are benchmarked against market Total Cash Compensation for the geographic location of our job posting.
for some roles is structured as On Target Earnings (OTE = base + commission/variable) while for others it is structured as Salary only.
The salary range listed for this role reflects the zones that applies to the location of this posting.

Leave every stakeholder conversation with a sharper problem definition than you walked in with.
All applications will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, national origin, disability, or age.

We have offices in Boston, MA; Vancouver, BC; and Vancouver, WA.
For select positions, we are open to hiring fully remote candidates.
We post our positions in the location(s) where we are open to having the successful candidate be located.

We are committed to creating a diverse environment and are proud to be an equal opportunity employer.

Run lightweight enablement (working sessions, office hours, shared documentation) that grows the citizen-developer community at Later

This listing is sourced directly from Later's careers page and normalized into a canonical job model.