Later

Title: SVP Partnerships Location: North America Job Description: 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 the role: We are seeking a dynamic Senior Vice President (SVP) of Partnerships to accelerate Later's enterprise growth. This strategic sales role will unlock new revenue, deepening enterprise relationships, and positioning Later as the partner of choice for the world's leading brands and agencies. You will represent Later at the highest levels, build scalable partnership frameworks, and directly influence our company's trajectory in the creator economy. This role collaborates closely with executive leadership, product, marketing, and operations. It is open to fully remote candidates in North America. What you'll do: Strategy - Identify and prioritize new market opportunities across enterprise brands and agency ecosystems. - Translate industry and customer insights into strategies that ensure Later's offering remains innovative and differentiated. Technical / Execution - Build and manage a high-value pipeline of enterprise prospects, driving substantial net new revenue. - Lead complex enterprise negotiations, structuring deals that deliver measurable impact for clients and scalable value for Later. - Partner with product and marketing to ensure solutions meet evolving enterprise needs in influencer marketing, branded content, and measurement. - Establish scalable sales processes that optimize velocity and strengthen partner satisfaction. Team / Collaboration - Act as a senior cross-functional leader, aligning partnership goals with broader business strategy. - Build trusted relationships with senior decision-makers at global brands, agencies, and platform partners. - Represent Later externally at conferences, industry forums, and key client engagements as a thought leader and brand ambassador. - Partner closely with internal teams to ensure seamless delivery of enterprise solutions. Research / Best Practices - Conduct competitive and market analyses to identify gaps and opportunities. - Implement data-driven decision-making, leveraging insights to continuously refine strategy and execution. - Stay ahead of emerging creator economy trends, evolving Later's enterprise positioning accordingly. What success looks like: - Significant enterprise revenue growth driven through new partnerships and expanded relationships. - Consistent overachievement of enterprise sales targets and partnership goals. - Later is recognized as a trusted partner by top-tier brands and agencies. - Scalable frameworks and processes are in place to accelerate enterprise deal velocity. What you bring: - 10+ years of progressive leadership in enterprise sales, partnerships, or business development, ideally within SaaS, martech, or creator economy businesses. - Proven success in negotiating and closing large, complex enterprise deals with brands and agencies. - Deep expertise in the creator economy, social media, and influencer marketing, with strong industry relationships. - Track record of scaling partnership or enterprise sales teams and building repeatable processes. - Exceptional executive relationship-building and negotiation skills. - Proficiency with CRM and analytics tools (e.g., Salesforce) to drive strategy and decision-making. - Bachelor's degree required; MBA or advanced degree is an asset. 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. 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. Salary Range: - Base Salary: $175,000-$225,000 (commensurate with experience) - Variable: Significant, uncapped commission structure #LI-Remote Where we work: We have offices in Boston, MA; Vancouver, BC; Chicago, IL; 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.

• Design scalable, maintainable, and secure service architectures. • Identify opportunities for platform-wide improvements, new service development, and reduction of technical debt. • Contribute to long-term platform vision and help shape standards for engineering excellence. • Build backend services using C# and TypeScript for web and background worker applications. • Work with both SQL and NoSQL databases; PostgreSQL expertise preferred. • Design, containerize, and deploy services with Docker and Kubernetes. • Build and optimize cloud infrastructure using AWS or similar platforms. • Implement and maintain CI/CD pipelines, Git workflows, and Infrastructure as Code. • Apply security best practices across applications and infrastructure (secure coding, vulnerability assessments, secrets management). • Ensure reliability and scalability through test automation, performance profiling, and optimization. • Integrate and manage third-party APIs with robust monitoring and management practices. • Explore and implement AI/ML-driven features or integrations into applications. • Act as a technical mentor, multiplying team impact by elevating skills and practices of peers and junior engineers. • Collaborate with Product Managers, other Staff Engineers, and cross-functional teams to define requirements, scope projects, and deliver platform solutions. • Work closely with stakeholders to debug, troubleshoot, and resolve complex backend issues across the stack. • Contribute to engineering culture by modeling ownership, accountability, and a growth mindset.

• Design scalable, maintainable, and secure service architectures. • Identify opportunities for platform-wide improvements, new service development, and reduction of technical debt. • Contribute to long-term platform vision and help shape standards for engineering excellence. • Build backend services using C# and TypeScript for web and background worker applications. • Work with both SQL and NoSQL databases; PostgreSQL expertise preferred. • Design, containerize, and deploy services with Docker and Kubernetes. • Build and optimize cloud infrastructure using AWS or similar platforms. • Implement and maintain CI/CD pipelines, Git workflows, and Infrastructure as Code. • Apply security best practices across applications and infrastructure (secure coding, vulnerability assessments, secrets management). • Ensure reliability and scalability through test automation, performance profiling, and optimization. • Integrate and manage third-party APIs with robust monitoring and management practices. • Explore and implement AI/ML-driven features or integrations into applications. • Act as a technical mentor, multiplying team impact by elevating skills and practices of peers and junior engineers. • Collaborate with Product Managers, other Staff Engineers, and cross-functional teams to define requirements, scope projects, and deliver platform solutions. • Work closely with stakeholders to debug, troubleshoot, and resolve complex backend issues across the stack. • Contribute to engineering culture by modeling ownership, accountability, and a growth mindset. • Stay current on emerging technologies in distributed systems, cloud infrastructure, and secure software practices. • Share learnings and elevate engineering standards across teams. • Continuously improve system performance, scalability, and developer experience. • Identify and advocate for adoption of new technologies that create leverage for the business.

• Drive large-scale projects and deliver impactful features • Solve complex problems and collaborate across teams • Mentor junior engineers and maintain high engineering standards • Continuously improve codebases and foster technical excellence • Shape how the company builds, scales, and innovates

Title: Staff Engineer (Campaign) Location: Boston, MARemote 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 looking for a Staff Engineer to play a critical role in shaping the future of Later’s technology stack. This is a senior-level role for a highly skilled engineer who thrives in fast-paced, high-growth environments and takes ownership of complex, high-impact initiatives. You’ll scope, lead, and deliver large projects that elevate our platform while mentoring others and upholding a high bar for engineering excellence. This is a hands-on technical leadership role where you’ll not only ship code but also shape architecture, coach teammates, and influence the direction of our product. If you’re passionate about building scalable, secure, and high-quality applications that serve millions of users—and you want to be the person others turn to when things get tough—this is the opportunity for you. What you'll be doing: Strategy - Scope, plan, and lead large-scale technical initiatives, ensuring alignment with business priorities and product roadmaps. - Anticipate risks, identify opportunities for innovation, and guide technical decision-making to deliver long-term impact. Technical / Execution - Design, build, and optimize scalable systems across the stack, from frontend (React, TypeScript) to backend (Node.js). - Deliver production-grade features end-to-end, while maintaining performance, security, and reliability at scale. - Improve and maintain codebases, ensuring clean architecture, best practices in testing and deployment, and strong CI/CD pipelines. - Debug and resolve complex issues across systems and services, serving as the go-to expert when problems arise. - Implement and advocate for strong application and infrastructure security practices. Team / Collaboration - Partner cross-functionally with Product, Design, and other Engineering teams to clarify requirements, resolve ambiguities, and deliver solutions that delight users. - Communicate technical and non-technical ideas clearly, ensuring stakeholders and teammates feel informed and engaged. - Act as a technical mentor, coaching junior and mid-level engineers while fostering a culture of collaboration and learning. Research / Best Practices - Stay current on emerging tools, frameworks, and methods that can drive performance, security, and scalability. - Experiment with new technologies—including AI/ML applications—and share learnings to elevate team performance. - Promote continuous improvement, introducing practices that improve speed, quality, and developer experience. What success looks like: - You consistently deliver high-impact projects on time, meeting both technical and business objectives. - You’re seen as a trusted technical leader who raises the bar for engineering excellence across the team. - You proactively identify opportunities to optimize performance, security, and scalability, and successfully implement solutions. - You coach and influence peers, creating a ripple effect that improves team performance and morale. What you bring: - 8–15 years of professional experience in software development, with a track record of shipping large-scale, high-quality features and systems and driving architectural decisions at the org level. - Strong frontend expertise in React and TypeScript - Backend proficiency in Node.js (Kotlin experience a plus) - Experience with SQL and NoSQL databases (MySQL, DynamoDB). - Deep experience with API integration and third-party API management. - Familiarity with AWS or equivalent cloud infrastructure. - Proven ability in system design, architecture, and performance optimization. - In-depth knowledge of application and infrastructure security best practices. - Hands-on experience with Git, CI/CD pipelines, Docker (Kubernetes a plus), and YAML configuration. - Knowledge of automated testing frameworks and QA best practices. - Experience mentoring and coaching engineers, influencing without authority. - Nice to haves: - Experience with social networking platforms - Knowledge of accessibility standards - Familiarity with AI-powered development tools (Copilot, Cursor, etc.) - Experience with monitoring solutions (e.g., DataDog) - Background in rapid, iterative development environments 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. 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. Salary Range: $ 190,000 - 230,000 #LI-Remote Where we work: We have offices in Boston, MA; Vancouver, BC; Chicago, IL; 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.

Role Description We are seeking a dynamic Senior Vice President (SVP) of Partnerships to accelerate Later’s enterprise growth. This strategic sales role will unlock new revenue, deepen enterprise relationships, and position Later as the partner of choice for the world’s leading brands and agencies. You will represent Later at the highest levels, build scalable partnership frameworks, and directly influence our company’s trajectory in the creator economy. This role collaborates closely with executive leadership, product, marketing, and operations. It is open to fully remote candidates in North America. What you’ll do: - Strategy: - Identify and prioritize new market opportunities across enterprise brands and agency ecosystems. - Translate industry and customer insights into strategies that ensure Later’s offering remains innovative and differentiated. - Technical / Execution: - Build and manage a high-value pipeline of enterprise prospects, driving substantial net new revenue. - Lead complex enterprise negotiations, structuring deals that deliver measurable impact for clients and scalable value for Later. - Partner with product and marketing to ensure solutions meet evolving enterprise needs in influencer marketing, branded content, and measurement. - Establish scalable sales processes that optimize velocity and strengthen partner satisfaction. - Team / Collaboration: - Act as a senior cross-functional leader, aligning partnership goals with broader business strategy. - Build trusted relationships with senior decision-makers at global brands, agencies, and platform partners. - Represent Later externally at conferences, industry forums, and key client engagements as a thought leader and brand ambassador. - Partner closely with internal teams to ensure seamless delivery of enterprise solutions. - Research / Best Practices: - Conduct competitive and market analyses to identify gaps and opportunities. - Implement data-driven decision-making, leveraging insights to continuously refine strategy and execution. - Stay ahead of emerging creator economy trends, evolving Later’s enterprise positioning accordingly. What success looks like: - Significant enterprise revenue growth driven through new partnerships and expanded relationships. - Consistent overachievement of enterprise sales targets and partnership goals. - Later is recognized as a trusted partner by top-tier brands and agencies. - Scalable frameworks and processes are in place to accelerate enterprise deal velocity. Qualifications - 10+ years of progressive leadership in enterprise sales, partnerships, or business development, ideally within SaaS, martech, or creator economy businesses. - Proven success in negotiating and closing large, complex enterprise deals with brands and agencies. - Deep expertise in the creator economy, social media, and influencer marketing, with strong industry relationships. - Track record of scaling partnership or enterprise sales teams and building repeatable processes. - Exceptional executive relationship-building and negotiation skills. - Proficiency with CRM and analytics tools (e.g., Salesforce) to drive strategy and decision-making. - Bachelor’s degree required; MBA or advanced degree is an asset. 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. 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. Salary Range: - Base Salary: $175,000–$225,000 (commensurate with experience) - Variable: Significant, uncapped commission structure Where we work: We have offices in Boston, MA; Vancouver, BC; Chicago, IL; 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.

• Own the creator SLG strategy end to end • Set the annual and quarterly GTM plan for creator SLG acquisition • Define the creator journey from initial outreach through activation • Partner with Sales leadership to design creator-facing value propositions • Build and run full-funnel creator acquisition campaigns • Lead creator segmentation and targeting • Develop and launch creator-specific lifecycle programs • Partner with Product Marketing to translate creator monetization product updates into messaging • Serve as the primary marketing partner to the Sales team covering creator acquisition • Collaborate with Later Influence and Mavely teams

• Own the creator PLG strategy end to end • Set the annual and quarterly GTM plan for creator PLG • Map the full creator funnel from first awareness through onboarding • Define where PLG and SLG motions intersect • Own conversion rate optimization across the creator acquisition funnel • Build and run a structured experimentation program • Partner with Product and Engineering to identify in-product growth levers • Develop and optimize paid and organic acquisition channels • Serve as the primary growth marketing partner to Product • Collaborate with the Creator SLG team • Partner with Data Science and Marketing Ops • Work with Content and Brand teams • Build, manage, and develop a high-performing creator PLG team • Establish a rigorous experimentation culture • Recruit talent with hands-on PLG, CRO, or growth engineering backgrounds • Define the PLG measurement framework for creators • Build dashboards and reporting cadences • Report on creator PLG performance to senior leadership

• Own and evolve how Later identifies, engages, and activates creator talent • Shape points of view on talent collaboration • Build relationships with agencies and key creators • Partner closely with internal teams to integrate talent into programs

Title: ML Infrastructure Engineer Location: Los Angeles, California, Boston, MA; Vancouver, BC; Chicago, IL; and Vancouver, WA. Work Type: Remote Job Description: 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 looking for a Machine Learning Infrastructure Engineer to join our growing Data & Platform team and build the foundation that powers our AI and machine learning capabilities across Later's product portfolio. As our first dedicated ML Infrastructure Engineer, you will own the systems that support model experimentation, training, deployment, and monitoring at scale. This role is critical to accelerating our data science initiatives and enabling future AI innovation. You'll design and operate reliable, secure, and scalable ML infrastructure that empowers data scientists and engineers to ship high-impact models with confidence. If you're excited about building robust ML systems in a fast-moving environment-and want to define the standard for ML Ops at Later-this is your opportunity. What you'll be doing: Strategy - Define and own the long-term ML infrastructure roadmap, ensuring it supports both current experimentation needs and future AI initiatives. - Establish best practices for model lifecycle management, deployment standards, monitoring, and governance. - Identify infrastructure gaps and proactively design scalable solutions to enable high-velocity ML development. - Contribute to cross-functional technical planning, ensuring ML systems align with product and platform strategy. Technical/ Execution - Design, build, and maintain production-grade model deployment and inference systems using CI/CD pipelines, containerized services (Docker), and API frameworks (e.g., Flask). - Automate end-to-end ML lifecycle workflows including training pipelines, model validation, registry management, deployment, and rollback strategies. - Implement robust monitoring systems for model performance, latency, drift detection, and infrastructure health using tools such as CloudWatch, Prometheus, and Grafana. - Operate across AWS and GCP environments to manage training and inference workloads, including GPU-based infrastructure and BigQuery datasets. - Develop and maintain infrastructure-as-code (Terraform, CloudFormation) to ensure scalable, repeatable, and secure cloud environments. - Implement and optimize CI/CD workflows (e.g., GitHub Actions, GitLab CI, Bitbucket Pipelines) for ML and infrastructure automation. Team / Collaboration - Partner closely with Data Scientists, Analysts, Platform Engineers, and Product Engineers to support end-to-end ML workflows. - Translate data science experimentation needs into production-ready infrastructure solutions. - Serve as the technical bridge between ML experimentation and productized deployment. - Share knowledge and best practices to elevate ML maturity across teams. Research/Best Practices - Stay current on emerging ML Ops practices, tools, and frameworks to continuously improve system reliability and efficiency. - Evaluate and implement model-serving frameworks (e.g., TorchServe, Seldon, TensorRT) where appropriate. - Contribute to governance, reproducibility, and auditability standards for ML systems. - Experiment with new tooling and workflows to improve reproducibility, performance, and developer velocity. What success looks like: - ML models move from experimentation to production quickly and reliably, with minimal manual intervention. - CI/CD pipelines enable safe, repeatable deployments with clear rollback strategies. - Model performance, drift, and infrastructure health are proactively monitored and observable. - Infrastructure supports scalable GPU training and real-time inference without bottlenecks. - Data scientists report improved velocity, reproducibility, and confidence in deploying models. - ML systems are secure, compliant, and aligned with evolving product and AI strategy. What you bring: - 4+ years of experience in ML Ops, ML infrastructure, backend engineering, or related roles supporting production ML systems. - Experience working in cloud-native environments (AWS and/or GCP) with hands-on deployment of ML workloads. - Proven track record designing and implementing CI/CD pipelines for ML systems. - Strong experience with Amazon SageMaker, Docker, Flask-based APIs, and infrastructure automation tools. - Hands-on experience with ML lifecycle tooling such as MLflow, SageMaker Studio, or Weights & Biases. - Experience managing container orchestration platforms (Kubernetes, EKS, or GKE). - Strong programming experience in Python (additional experience in Go, Java, or Scala is a plus). - Experience working with infrastructure-as-code tools such as Terraform or CloudFormation. - Familiarity with observability tools such as CloudWatch, Prometheus, Grafana, Datadog, or centralized logging platforms. - Experience managing GPU-based workloads and scaling training/inference systems. - Familiarity with data infrastructure tools such as BigQuery and cloud-native data pipelines. - Bonus: Experience supporting LLMs or generative AI pipelines, distributed training systems, feature stores (e.g., Feast), real-time inference systems, or ML governance frameworks. - A mindset focused on automation, reliability, performance, and continuous improvement in fast-scaling environments. 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. 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. Salary Range: $ 145,000 -165,000 #LI-remote Where we work: We have offices in Boston, MA; Vancouver, BC; Chicago, IL; 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.