高级AI自动化工程师
Senior AI Automation Engineer
Later 是全球最智能的影响力营销公司，致力于让品牌在打造难忘营销活动时充满信心。通过结合真实的创作者关系、可信赖的智能分析和专业指导，Later 让营销中最显眼的投资不再有恐惧和猜测。
Later 基于原生 AI 驱动的平台和十余年积累的专有数据——包括数十亿次社交互动、曝光量以及超过 24 亿美元的经验证的影响力驱动购买额——帮助团队在发布前了解哪些策略会有效。
通过将可信洞察与专业指导相结合，Later 消除了影响力营销中的猜测，使品牌能够选择合适的创作者，执行全权管理的活动，并在知名度、参与度和收入方面实现有意义的增长。Nike、Wayfair、联合利华和西南航空等领先企业都信任 Later，Later 将创意与绩效结合，让活动不仅看起来出色，更带来实际成果。了解更多请访问 later.com。
关于该职位：
我们正在招聘一名 AI 自动化工程师，该职位将嵌入 Later 的多个团队，包括运营、财务、市场、客户成功等，用持久的 AI 驱动工具替代手动重复性工作。
这个职位位于工程师、内部顾问和教练的交汇点：你将构建能立即产生影响的自动化方案，并提升非技术人员同事的能力，让他们自己构建下一轮解决方案。这是一个高杠杆角色，适合那些从解决真实业务问题中获得能量的人，能在数天而非数月内交付实用的初始版本，并知道何时需要将一个敏捷原型打磨成整个组织都可以依赖的解决方案。你将跨 Later 的各个业务线（Later Influence、Later Social 和 Mavely）工作，经常接触高层领导，并深入了解公司实际运作方式。
你将从事的工作：
合作与发现
- 与运营、财务、市场、客户成功及其他职能的非技术人员利益相关者深入合作，理解他们的工作流程。
- 识别最具影响力的自动化机会，并将模糊、不明确的问题转化为清晰的技术解决方案。
- 每次与利益相关者的对话后，都能带着更清晰的问题定义离开。
构建与交付
- 使用 AI 原生平台、脚本、API 及其他任何能完成工作的工具构建自动化和内部工具，实用主义胜过纯粹性。
查看英文原文
Later is the world’s most intelligent influencer marketing company, built to give brands the confidence to create unforgettable campaigns. By combining real creator relationships, trusted intelligence, and expert guidance, Later removes fear and guesswork from one of marketing’s most visible investments.
Built on a native, AI-powered platform and more than a decade of proprietary data—including billions of social interactions, impressions, and $2.4B+ in verified influencer-driven purchases—Later helps teams understand what will work before they launch.
By combining trusted insight with expert guidance, Later removes guesswork from influencer marketing, enabling brands to choose the right creators, execute fully managed campaigns, and drive meaningful growth across awareness, engagement, and revenue. Trusted by leading enterprise brands including Nike, Wayfair, Unilever, and Southwest Airlines, Later bridges creativity and performance so campaigns don’t just look good—they deliver results. Learn more at later.com.
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 role sits at the intersection of engineer, internal consultant, and coach: you'll build the automations that move the needle today and level up non-technical colleagues to build the next wave themselves. 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. You'll work across Later's lines of business (Later Influence, Later Social, and Mavely), with regular exposure to senior leadership and broad visibility into how the company actually runs.
What you'll be doing:
Partnership & Discovery
- Embed with non-technical stakeholders across Operations, Finance, Marketing, Customer Success, and other functions to understand their workflows in depth.
- Surface the highest-impact automation opportunities and translate fuzzy, ambiguous problems into clear technical solutions.
- Leave every stakeholder conversation with a sharper problem definition than you walked in with.
Building & Shipping
- 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.
Scaling & Reliability
- Take working prototypes and harden them with the reliability, observability, error handling, and reusability needed for production use.
- Define when a one-off solution is good enough as-is versus when it needs to be promoted into something the whole org can rely on.
- Build the monitoring and documentation that lets automations run unattended and recover gracefully when they don't.
Enablement & Coaching
- Coach and advise non-technical colleagues who are building their own automations: review their work, unblock them, and level up their skills over time.
- 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.
Platform Thinking
- 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.
- Partner with Engineering and IT on the platform decisions that make this leverage durable.
What success looks like:
- Within your first 6-12 months, success in this role will look like:
- A portfolio of automations in production with documented business impact (hours saved, error rates reduced, cycle times shortened) across at least three different teams.
- 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.
- A reusable library of components, patterns, and templates that other builders, technical and non-technical, can pick up and apply.
- Recognition as the go-to partner across Operations, Finance, Marketing, and Customer Success for 'can this be automated?' and 'is this worth automating?' questions.
- A clear point of view on Later's automation roadmap: what the next high-leverage opportunities are, and where the platform investments need to land.
What you bring:
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.
- Experience in an internal-tools, RevOps, BizOps, or 'applied AI' function is a plus.
- A background in supporting or training non-technical builders (citizen developers, ops teams running their own tooling) is a bonus.
- Comfort with data: pulling it, cleaning it, and reasoning about it.
How you work:
- Driven by Impact: You deliver results that matter—prioritizing high-value work, meeting deadlines, and adapting quickly while keeping outcomes clear.
- Strategic & Customer-Centric: You anticipate risks and opportunities, connect decisions to long-term growth, and build trust through proactive insights.
- Curious & Growth-Oriented: You seek knowledge, ask sharp questions, and apply learnings fast—challenging the status quo with a mindset of improvement.
- Collaborative & Resilient: You thrive in change by staying resourceful, solution-focused, and positive—removing roadblocks, sharing insights, and keeping morale high.
- Accountable & Honest: You own your work, hold yourself and others to a high bar, and use transparent feedback to drive growth.
- Emotionally Intelligent: You build trust through empathy and collaboration, foster inclusion, and inspire others with grit, optimism, and integrity.
Our approach to compensation:
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. Compensation 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.
To comply with local legislation and ensure transparency, we share salary ranges on all job postings. Skills, experience and other factors help determine the final salary we offer which may vary from the original range posted.
Additionally, all permanent team members are eligible to participate in various benefits plans as part of their overall compensation package.
$110,000-160,000 CAD
#LI-Hybrid
Where we work:
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.
Diversity, inclusion, and accessibility:
At Later, we are committed to fostering a culture rooted in an inclusion-first mindset at every level of the company, embracing the importance of hiring and building teams for culture add rather than culture fit. We openly build and maintain unbiased hiring, pay, and promotion practices to create a foundation for an equitable workplace, paving the way for systemic change.
We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All applications will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, national origin, disability, or age. Please let us know if you require any accommodations or support during the recruitment process.