The Opportunity

Join a new engineering team in San Francisco building Flexport’s client-facing rates platform and self-serve freight booking experience from the ground up. You will work alongside experienced engineers and have direct ownership of features that move the company from an assisted-sales model to a tech-run one for the long tail of our client base.

This team owns two of the highest-leverage surfaces in the Client App: how clients see pricing and how they book without manual intervention. Rates sit at the center of every freight decision, and you will build the systems that power rate visibility, quoting, and pricing intelligence across ocean, air, and trucking. You will also help build the infrastructure that integrates AI-powered automation into the booking flow. This is a rare opportunity to build the "front door" of an $8.6 trillion industry, turning the complexity of global trade into a seamless digital experience for thousands of shippers.

You Will

• Design, develop, test, deploy, and maintain systems within a microservices architecture that power rate visibility and autonomous booking.
• Own the entire lifecycle of a feature: from database schema design and scalable backend APIs to building the React-based frontend applications our customers use.
• Support the integration of AI models and automated workflows to make the pricing and booking experience increasingly intelligent.
• Collaborate with engineering, product, and design to translate complex business problems into elegant, production-ready technical solutions.
• Contribute to code reviews to maintain high quality standards, share knowledge, and mentor peer engineers.
• Build highly available, secure, and distributed systems that can scale with Flexport’s global volume.
• Rapidly build and launch products incrementally, leveraging best practices around CI/CD and shipping to production dozens of times per day.
• Ensure high-quality standards by incorporating metrics, monitoring, and applying learnings from post-mortems to all services.

You Should Have

• Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
• 3+ years of professional software engineering experience with a proven track record of shipping production-grade applications.
• Full-Stack Capability: You are comfortable owning a feature from end-to-end: working with databases, backend services (Java/Ruby), and frontend frameworks (React).
• Technical Rigor: A passion for simple, well-tested code that is easy to extend and hard to break.
• AI Familiarity: Experience or interest in working with AI APIs and building software that leverages machine learning models to automate user tasks.
• 2+ years of design and architecture knowledge as well as familiarity with object-oriented analysis and design patterns.
• Proficiency with modern programming languages: specifically Java, Ruby, or TypeScript.
• Proficiency with deploying, monitoring, and maintaining production services on cloud infrastructure (AWS).

It’s a Plus If You Have

• Experience with elements of our tech stack: Java, Spring Boot, Ruby on Rails, React, AWS.
• Experience in fintech, pricing engines, or booking systems.
• Experience in logistics, supply chain, or freight technology.
• A bias for action: When you see a problem, you fix it.
• Excellent written and verbal communication skills: you can convey technical ideas in common terms to business stakeholders and product managers.

#LI-onsite

Exciting Trade Advisory Opportunity to Help Make Global Trade Easy

The opportunity:

The global supply chain is one of the most heavily regulated industries for all parties involved. Everyone from the carriers, intermediaries, trucking companies, 3rd party logistics, freight forwarders, shippers, consignees, importers, exporters, and brokers face a challenging and complex task of navigating through a myriad of laws from the originating country, destination country as well as international treaties and conventions.

The Trade Advisory team, consisting of business consultants, lawyers and licensed customs brokers, offers advanced customs and trade expertise to help clients identify supply chain risks and cost savings opportunities. As a Trade Advisory Lead, you will lead and mentor other Trade Advisory team members to help address and find solutions to trade issues that matter to our clients, furthering the company’s values. Your role would take your trade and industry knowledge to help build our trade advisory services, while servicing our clients.

You will:

• Lead and manage trade advisory projects that focus on trade compliance and duty minimization strategies, including Classification, Country of Origin, FTA analysis, FSFE, Compliance assessment, tariff engineering, etc.
• Perform, coordinate, and support Trade Advisory analytics and reporting from a variety of sources, providing insights and recommendations.
• Monitor deadlines and draft client deliverables for multiple projects at a given time, ensuring high quality and timely delivery.
• Proactively stay informed on the latest customs and other government agency regulations, ruling issuances, and industry trends that are relevant to our clients, and educate the team.
• Ensure project timelines, statuses, and invoices are appropriately managed and delivered, overseeing the work of other associates.
• Coordinate and facilitate software solutions, automation of data analytics, improvement of SOPs, ACE portal access, applications, and integrations, serving as a subject matter expert.
• Interface with CBP and our clients and offer timely responses, elevating where necessary, and guiding junior team members.
• Maintain active communication with clients, customs and other government authorities, and internal stakeholders, representing the team.
• Support Trade Advisory infrastructure and administrative requirements, contributing to team development and best practices.

You should have:

• Bachelor's degree from an accredited college/university.
• Licensed Customs Broker required, J.D. or graduate degree highly preferred.
• 5-7 years trade related experience working in house, at customs brokerage, consulting or law firm preferred, with demonstrated leadership experience.
• Strong technical and business writing skills.
• Strong interpersonal skills and the ability to stay on top of multiple tasks and projects, with excellent prioritization and delegation abilities.
• Expertise with Microsoft Office suite and Google equivalents.
• Strong data analytical skills.
• Strong industry knowledge including classification, valuation, reconciliation, duty minimization and avoidance strategies, government regulations and rulings, and other trade information, with the ability to provide expert guidance.

#LIOnsite

The opportunity 

The Autonomous Freight Systems team is a brand new, AI-first engineering team in San Francisco. This team will own Flexport’s client-facing rates platform and the self-serve freight booking experience—two of the highest-leverage surfaces in our Client App that dictate how clients see pricing and book freight without manual intervention.

As a Staff Engineer, you will be the technical anchor for our next-generation AI-powered rates platform. We aren't just building a UI; we are building AI agents that handle real logistics work: parsing complex rate sheets, managing pricing intelligence across ocean, air, and trucking, and making "Self-Serve" a reality for thousands of shippers. You will build the intelligence layer that allows clients to commit freight on technology alone, with no account executive and no operations touch.

This is a ground-floor opportunity to shape technical direction, set up a new codebase, and build the platform that moves Flexport from an assisted-sales model to a tech-run one for the long tail of our client base. You will partner with Pricing, Sales, Ops, and Design on hard domain problems and ship to the most-used client surfaces at the company.

You will

• Design and ship end-to-end AI agents that handle pricing intelligence and booking compliance without human oversight.
• Create the tooling and secure AI infrastructure required to expose internal logistics data to LLMs safely.
• Navigate the rapidly evolving landscape of agent patterns, RAG, and prompt engineering to solve problems that don’t have "Stack Overflow" answers yet.
• Build and launch products rapidly and incrementally: we ship to production dozens of times per day.
• Mentor and uplevel engineers across the team, fostering a culture of technical excellence.
• Partner with the Engineering Manager to define the team’s technical roadmap and hiring bar.

You should have

• LLM Fluency: Experience with agent patterns, RAG, and prompt engineering. You know what works in production versus what only looks good in a demo.
• Agentic Orchestration: Experience with workflow orchestration (e.g., Temporal) and building reliable systems around non-deterministic AI.
• Entrepreneurial Drive: You don't wait for a spec; you find the highest-leverage automation problems and design the AI-driven solution.
• Product Instincts: You can identify what is worth building, not just execute on a spec. You have a proven track record of building data-heavy applications where high-quality user interaction is the priority.
• Architecture Leadership: Demonstrated experience leading technical initiatives across multiple teams or systems, specifically in building unified interfaces that aggregate data from various backend systems.
• Technical Rigor: A love of simple, well-tested code that is easy to extend and hard to break, combined with experience building large-scale distributed systems.
• Technical Communication: The ability to convey technical ideas in common terms to business partners, product managers, and engineers alike.

It's a plus if you have

• Experience with elements of our tech stack: Java, Spring Boot, Ruby on Rails, React, AWS.
• Experience in logistics, supply chain, or freight technology.
• Experience building internal tools or operator-facing applications.
• A bias for action: When you see a problem, you solve it.

#LI-onsite

The opportunity

Flexport operates at the intersection of global trade, technology, and policy — which means the stories we tell matter. We're looking for a Senior Manager, Communications & Content to drive forward how Flexport shows up in the world: in the press, on our blog, across social channels, in customer inboxes, and inside the company.

This is a high-visibility, high-trust role. You'll work directly with our CEO & Founder and members of the leadership team to shape Flexport's narrative and ensure we're part of the conversations that matter — from supply chain disruptions and trade policy shifts to AI innovation and the future of logistics. You'll also be the person who makes sure our customers and employees hear from us clearly, consistently, and at the right moments.

This role requires someone who can toggle between crafting a pitch to a Tier 1 reporter, writing a customer email about a service change, coaching an executive before a live interview, and developing a content calendar that ties Flexport's story to the biggest themes in global commerce — all in the same week.

You will

Public Relations & Media

• Support Flexport's PR strategy end-to-end: proactive media pitching, inbound media management, press releases, and rapid response.
• Build and deepen relationships with key reporters and outlets covering logistics, trade, technology, and business.
• Develop and execute a thought leadership program that positions Flexport's CEO & Founder and other senior leaders as go-to voices on global trade, supply chain innovation, and AI in logistics.
• Staff and prep spokespeople for interviews, panels, and media appearances — including media training, message development, and briefing documents.
• Monitor the news cycle for opportunities to insert Flexport into breaking stories and larger industry narratives.

Content Strategy

• Shape Flexport's content strategy and content development across blog, social media, website, webinars, and other owned channels.
• Define and evolve Flexport's narrative — how we talk about ourselves, how we connect our platform and products to the macro stories reshaping global trade, and how we differentiate from legacy freight forwarders.
• Build an editorial engine that produces high-quality, consistent content that serves demand generation, brand awareness, and customer education goals.
• Partner with Product Marketing and Growth Marketing to ensure content supports campaigns, product launches, and pipeline objectives.

Customer Communications

• Own the voice and cadence of how Flexport communicates with customers outside of product and transactional workflows — service updates, policy changes, product announcements, and other moments that require clear, trustworthy messaging.
• Develop frameworks and templates that ensure customer-facing communications are timely, accurate, and on-brand, especially during high-stakes moments like trade policy shifts or service disruptions.
• Partner with Customer Success, Operations, and Product teams to coordinate messaging and ensure alignment across touch points.

AI & Efficiency

• Leverage AI tools across the communications function — from drafting and editing content, to media monitoring and research, to automating repetitive workflows — so a lean team can operate with the output and speed of a much larger one.
• Stay current on how AI is changing PR, content, and communications, and bring new tools and approaches into the team's daily work.

You should have

• 7+ years of experience spanning PR, communications, and content. A mix of agency and in-house experience is ideal.
• Proven media relationships and a track record of landing meaningful coverage in top-tier business, trade, and technology outlets. You know how to pitch, and reporters know your name.
• Experience as a communications partner to senior executives — you've prepped leaders for interviews, developed thought leadership platforms, and know how to translate a leader's vision into a public narrative.
• Strong editorial instincts and the ability to build a content program from strategy through execution. You can write, and you can also build systems that scale content without sacrificing quality.
• Experience owning customer communications in a B2B environment, particularly during complex or sensitive moments like service changes, pricing updates, or industry disruptions.
• The ability to move fast, manage multiple workstreams at once, and exercise excellent judgment about what to say, when to say it, and how.
• Familiarity with the logistics, supply chain, or trade industry is a strong plus — but a fast learner with deep B2B or tech experience can thrive here too.
• You actively use AI tools to drive efficiencies across content production, media monitoring, research, and workflow automation. This isn't a nice-to-have — we want someone who is already using AI to make a small team move like a big one.

The Opportunity

We’re looking for a Staff Product Manager, Growth to own Flexport’s website, self-serve experience, and the critical intersection between marketing and product that turns visitor traffic into a qualified pipeline. You’ll be the connective tissue between Marketing, Product, Engineering, and Sales, ensuring that every touchpoint from first page view to sales handoff is optimized for conversion and user quality.

This is a high-leverage, metrics-driven role. You’ll set the strategy for how prospects discover Flexport, experience our products and technology for the first time, and convert into high-value leads that Sales can close. You’ll own the growth marketing roadmap, run rigorous experimentation, and partner deeply with Marketing on acquisition and with Product and Engineering on the self-serve experience.

The ideal candidate has a founder’s mentality, you’ve built and shipped growth products end to end, you think in funnels and feedback loops, and you’re as comfortable writing a PRD as you are digging into a conversion cohort analysis. Background in performance and digital marketing is strongly preferred. Experience in logistics, supply chain, or enterprise SaaS is a plus.

What You'll Do

Website as a Growth Product

• Own Flexport.com as Flexport’s highest-leverage growth channel to define the product vision, roadmap, and KPIs for the marketing website.
• Drive SEO and AEO strategy, information architecture, and content performance to increase organic traffic and domain authority.
• Lead conversion rate optimization across landing pages, product pages, and CTAs through structured experimentation (A/B tests, multivariate tests, holdout groups).
• Partner with Design, Product, and Engineering to ship high-impact web experiences that reduce friction and move visitors toward signup and qualification.

Self-Serve Flow & Product-Led Growth

• Own the end-to-end self-serve funnel from first visit through signup, onboarding, activation, and handoff to Sales.
• Define and instrument key growth metrics (visitor-to-signup, signup-to-activation, activation-to-MQL, MQL-to-SQL) and build dashboards that make funnel health visible across the organization.
• Identify and activate product-led growth levers: trial flows, in-platform conversion moments, guided onboarding, and expansion signals.
• Develop experimentation frameworks to test and scale PLG motions, balancing self-serve efficiency with enterprise sales readiness.

Marketing and Product Bridge

• Serve as the primary product partner between the Marketing team translating campaign objectives into product requirements and vice versa.
• Collaborate with Marketing and Sales Ops on lead scoring models, nurture logic, and segmentation strategies to ensure product signals feed into accurate lead qualification.
• Align product releases and platform capabilities with go-to-market motions so that new features translate into pipeline.
• Work with Sales to define what constitutes a high-quality lead and build product experiences that deliver them consistently.

AI & Growth Innovation

• Leverage AI tools and workflows to accelerate experimentation, personalization, audience targeting, and performance analysis.
• Use AI to rapidly prototype and launch landing pages, microsites, interactive tools, and campaign automations without waiting on engineering resources.
• Stay on the cutting edge of how AI is reshaping B2B growth and bring that thinking into the product roadmap.

Analytics & Experimentation

• Build and maintain growth dashboards that track traffic, funnel conversion, channel attribution, campaign ROI, and lead quality.
• Own the marketing experimentation program and define hypothesis backlogs, prioritize tests by expected impact, run experiments with statistical rigor, and scale winners.
• Use data to inform investment decisions and communicate growth product impact to executive leadership.
• Partner with Data Engineering to ensure event instrumentation, attribution models, and reporting infrastructure meet the team’s needs.

What We're Looking For

• Product management experience, with significant depth in growth, conversion, or product-led growth at a high-growth B2B technology company.
• Strong preference for former tech founders or early-stage operators who have owned the full end-to-end go-to-market for a B2B product from building the website to closing the first customers.
• Proven track record of driving measurable improvements in web traffic, signup conversion, activation rates, or pipeline generation. You think in funnels, cohorts, and experiments, not just features.
• Deep understanding of enterprise B2B buying motions - complex, long sales cycles, buying committees, and what it takes to generate leads that Sales actually wants to work. Experience in logistics, supply chain, or enterprise SaaS is a strong plus.
• A power user of AI in your product workflow; you actively use tools like Claude Code, Codex, OpenClaw, or similar to accelerate prototyping, analysis, and experimentation. Bonus if you’ve used vibe coding or low-code AI tools to build landing pages, internal tools, or automations yourself.
• Fluent in web analytics, attribution modeling, and experimentation tooling (e.g. Google Analytics, Amplitude, Optimizely, LaunchDarkly). Comfortable writing SQL and building dashboards.
• Experience with marketing automation and CRM systems (Salesforce, HubSpot, Marketo) and a working understanding of how product signals feed lead scoring and sales workflows.
• Strong product craft — you write clear PRDs, define sharp success metrics, and ship iteratively. You know how to scope ruthlessly and say no to the right things.
• Excellent cross-functional communication. You can present strategy and results to the CEO, align Engineering on technical trade-offs, and partner back with your marketing team. 
• A bias toward action and experimentation - you ship fast, learn fast, and iterate. You’re energized by ambiguity and thrive when you can move from zero to one.

Come join our rapidly growing team in Los Angeles, and help us make global trade easy for everyone!

The Opportunity: 

Flexport's Global Operations team is the front line team responsible for successfully managing our Customer’s supply chains end to end. To achieve this, the Global Operations team is at the heart of delighting our customers, managing our partners and working closely with our technology partners to drive innovation through process automation. With our focus on developing a global network, our operational teams are strategically located across the world to manage and execute our services and products offered to our customers and partners. Flexport Global Operations raises the bar by using data to manage our customer’s supply chains and identifies opportunities to improve fidelity in planning, responsiveness and overall execution.

The Global Operations Associate is responsible for the ownership and execution of the end-to-end movement of global shipments within a regional network including Ocean less than and full container load (LCL and FCL), Ocean imports and Air imports and exports. This role will focus on driving a first in class customer experience by obsessing over quality and on time performance.

As a new team member in our North American Operations group, you'll begin by immersing yourself in our company culture and mastering world-class operations. As Flexport continues to grow, there could be opportunities for future Flexporters to become founding team members in new markets, relocate internationally, and help us expand our presence around the world. If you're interested in a fast-paced career with the potential for international experience, this opportunity could offer you unmatched growth and adventure.

You will: 

• Be the “front line” to ensure the highest standard of Flexport quality: shipments move on-time and exceptions are handled appropriately.
• Be responsible for ensuring your work satisfies internal KPIs and SLAs that demonstrate quality delivery.
• Follow standard operating procedures (SOP) 
• Own the client experience; solving client issues quickly and ensuring smooth operations at origin and destination, escalating issues as needed.
• Your team will:
• Seamlessly coordinate day-to-day logistics operations with internal and external partners such as steamship lines, air carriers, intermodal and drayage vendors, customs, trade lane management, warehousing, transloading, trucking, and the air operations team.
• Execute the end-to-end movement of freight shipments within a regional network (both imports and exports), including intermodal movements.
• Assist the shipments managed by partners as we drive partner autonomy (if applicable in a given region).
• Quote and invoice client shipments with responsibility to their P&L
• Participate in QBR and MBR presentation prep as well as hold client operational calls when deemed necessary

You should have:

• 2+ years of experience in logistics, freight forwarding, supply chain, ocean carrier operations, or consulting (ocean freight knowledge is a plus)
• Bachelor’s Degree preferred
• Able to adapt to new technology and can thrive in a fast-paced environment
• Effective time management - be able to properly prioritize and manage a large volume of tasks
• Attention to detail
• Ability to effectively seek and receive feedback
• Effective communication both verbally and in writing in client facing interactions
• Teamwork and relationship-building
• Orientation towards working smarter and adopting best practices and standardization
• Problem-solving capabilities
• Fluent in English
• A "compliance first" attitude to keep our regulators happy and enthusiastic about Flexport since we operate in a heavily regulated industry.

#LI-onsite 

Come join our rapidly growing team in San Francisco, and help us make global trade easy for everyone!

The Opportunity: 

Flexport's Global Operations team is the front line team responsible for successfully managing our Customer’s supply chains end to end. To achieve this, the Global Operations team is at the heart of delighting our customers, managing our partners and working closely with our technology partners to drive innovation through process automation. With our focus on developing a global network, our operational teams are strategically located across the world to manage and execute our services and products offered to our customers and partners. Flexport Global Operations raises the bar by using data to manage our customer’s supply chains and identifies opportunities to improve fidelity in planning, responsiveness and overall execution.

The Global Operations Associate is responsible for the ownership and execution of the end-to-end movement of global shipments within a regional network including Ocean less than and full container load (LCL and FCL), Ocean imports and Air imports and exports. This role will focus on driving a first in class customer experience by obsessing over quality and on time performance.

As a new team member in our North American Operations group, you'll begin by immersing yourself in our company culture and mastering world-class operations. As Flexport continues to grow, there could be opportunities for future Flexporters to become founding team members in new markets, relocate internationally, and help us expand our presence around the world. If you're interested in a fast-paced career with the potential for international experience, this opportunity could offer you unmatched growth and adventure.

You will: 

• Be the “front line” to ensure the highest standard of Flexport quality: shipments move on-time and exceptions are handled appropriately.
• Be responsible for ensuring your work satisfies internal KPIs and SLAs that demonstrate quality delivery.
• Follow standard operating procedures (SOP) 
• Own the client experience; solving client issues quickly and ensuring smooth operations at origin and destination, escalating issues as needed.
• Your team will:
• Seamlessly coordinate day-to-day logistics operations with internal and external partners such as steamship lines, air carriers, intermodal and drayage vendors, customs, trade lane management, warehousing, transloading, trucking, and the air operations team.
• Execute the end-to-end movement of freight shipments within a regional network (both imports and exports), including intermodal movements.
• Assist the shipments managed by partners as we drive partner autonomy (if applicable in a given region).
• Quote and invoice client shipments with responsibility to their P&L
• Participate in QBR and MBR presentation prep as well as hold client operational calls when deemed necessary

You should have:

• 2+ years of experience in logistics, freight forwarding, supply chain, ocean carrier operations, or consulting (ocean freight knowledge is a plus)
• Bachelor’s Degree preferred
• Able to adapt to new technology and can thrive in a fast-paced environment
• Effective time management - be able to properly prioritize and manage a large volume of tasks
• Attention to detail
• Ability to effectively seek and receive feedback
• Effective communication both verbally and in writing in client facing interactions
• Teamwork and relationship-building
• Orientation towards working smarter and adopting best practices and standardization
• Problem-solving capabilities
• Fluent in English
• A "compliance first" attitude to keep our regulators happy and enthusiastic about Flexport since we operate in a heavily regulated industry.

#LI-onsite 

The opportunity: 

We are building a new engineering team in San Francisco to own our client facing rates platform and the self-serve freight booking experience. These are two of the highest leverage surfaces in our Client App: how clients see pricing and how they book without manual intervention.

Rates sit at the center of every freight decision. You will lead the Autonomous Freight Systems team, owning the systems that power rate visibility, quoting, and pricing intelligence across ocean, air, and trucking. You will extend that work into a fully self-serve booking flow for smaller shippers: clients who commit freight on technology alone, with no account executive and no operations touch.

This is a ground-floor opportunity to build the platform that moves Flexport from an assisted-sales model to a tech-run one. You will lead an AI-first engineering team tasked with automating the complex logic of quoting and booking. This means not just building software, but building autonomous systems and AI-powered workflows that eliminate the need for manual intervention in the shipping lifecycle.

You will:

• Recruit, build, and lead a new engineering team with a heavy focus on AI-driven automation and intelligent system design.
• Partner with leadership to define how LLMs and agentic workflows can be applied to logistics pricing and customer interactions.
• Participate in critical technical discussions regarding AI model integration, data repair agents, and automated quality safeguards.
• Represent your team with leaders across different parts of the organization.
• Participate in critical technical design and product discussions.
• Invest in the development and coaching required for each team member’s success.
• Manage, measure, and communicate the team’s progress toward goals.
• Partner closely with cross-functional stakeholders to define the team’s roadmap.

You should have:

• AI/Automation Vision: Demonstrated ability to lead teams building intelligent systems, ideally involving LLMs, automated decision engines, or AI agents in production.
• Strategic Roadmap: Experience moving a business from human-led processes to autonomous, software-driven ones.
• Bachelor’s degree in Computer Science or equivalent practical experience.
• 5+ years of engineering experience with a strong technical background.
• 2+ years of experience managing engineering teams directly.
• Product Engineering Expertise: A proven track record of building complex, data-heavy applications where high-quality user interaction is the priority.
• Platform Thinking: Experience building unified interfaces that aggregate data from various backend systems into a cohesive user experience.
• Growth Leadership: Experience building and scaling teams from an early stage, including a demonstrated ability to hire, develop, and retain high-performing engineers.
• Clear Communication: The ability to translate between technical constraints and business goals for stakeholders.

It’s a plus if you have

• Experience in logistics, supply chain, or freight technology.
• Experience with elements of our tech stack: Java, Spring Boot, Ruby on Rails, React, AWS.
• Experience managing distributed or hybrid teams.

#LI-onsite

The Opportunity

This is a unique opportunity to join a new engineering team at the ground floor. As an SDE 1, you will learn from senior and staff level engineers while contributing to real production systems that power global trade. We are building Flexport’s client-facing rates platform and a new self-serve booking experience, moving the company from an assisted-sales model to a tech-run one.

You will help build the "front door" of our Client App: the interfaces and services that allow customers to see pricing and book shipments without manual intervention. This is an AI-first team where you will see firsthand how intelligent automation is applied to real-world logistics. If you are looking for a high-growth environment where you can see your code impact thousands of shipments across 112 countries, this is the team for you.

You Will

• Design, develop, test, deploy, and maintain systems that represent the real-world intricacies of global logistics and pricing logic.
• Work within an AI-integrated codebase, learning how to build and maintain services that support autonomous booking and intelligent quoting.
• Contribute to code reviews to maintain code quality, share knowledge, and learn from experienced mentors on the team.
• Collaborate with engineering, product, and design to translate complex business problems into elegant technical solutions.
• Build highly available, secure, and distributed services within a modern microservices architecture.
• Build and launch products rapidly and incrementally: we ship to production dozens of times per day.
• Ensure high-quality standards by incorporating metrics and monitoring into every service you touch.

You Should Have

• Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
• 1+ years of professional experience in software development with demonstrated coding skills: strong internship experience in a product-focused environment is highly valued.
• Proficiency in modern programming languages: specifically Java, Ruby, or TypeScript.
• Familiarity with technologies like databases, API development, and modern frontend frameworks like React.
• AI Curiosity: A strong interest in how AI and LLMs are transforming software development and a desire to learn how to build with these technologies.
• A self-starter attitude: You are curious, eager to learn, and when you see a problem, you look for a way to solve it.
• Product Curiosity: An interest in how users interact with software and a desire to understand the "why" behind the features you build.

It’s a Plus If You Have

• Experience with elements of our tech stack: Java, Spring Boot, Ruby on Rails, React, AWS.
• Experience using AI coding assistants to accelerate your development workflow.
• Ability to convey technical ideas in common terms to business stakeholders and product managers.
• Excellent written and verbal communication skills.

#LI-Onsite

The Opportunity

We're looking for a Director of Growth Marketing to own and scale the engine that drives Flexport's pipeline and revenue growth. You'll lead a team of marketers responsible for the full spectrum of growth marketing — from top-of-funnel acquisition to lead nurturing to conversion. This role sits at the intersection of strategy, execution, and analytics, and is ideal for someone who is equally comfortable building apps, creating campaigns, optimizing paid media, and generating pipeline through unconventional methods.

You'll work closely with Product, Engineering, and Sales to ensure growth campaigns are tightly aligned with Flexport's platform releases, go-to-market motions, and business goals.

What You'll Do

Campaign Strategy & Execution

• Design and execute integrated growth campaigns around Flexport's technology offerings,  turning product innovation into pipeline.
• Build and optimize multi-channel campaign playbooks that span paid, owned, and earned channels.

AI & Marketing Innovation

• Leverage AI tools and workflows to accelerate campaign execution, content production, audience targeting, and performance analysis — we want someone who is already using AI daily to move faster and think bigger.
• Use AI tools to launch landing pages, microsites, online tools, internal dashboards, lead scoring models, and campaign automations without waiting on engineering resources.
• Stay on the cutting edge of how AI is reshaping B2B marketing and bring that thinking into everything the team builds.

Product-Led Growth

• Partner with Product and Engineering to identify and activate product-led growth levers — trial flows, in-platform conversion moments, self-serve onboarding, and expansion signals.
• Develop experimentation frameworks to test and scale PLG motions across Flexport's platform.

Lead Generation & Nurture

• Own the lead lifecycle from acquisition through sales handoff, designing scoring models, nurture sequences, and segmentation strategies that improve conversion rates at every stage.
• Continuously refine targeting and messaging to increase marketing-sourced and marketing-influenced pipeline.

Performance Marketing

• Manage and scale paid acquisition across Google Ads, LinkedIn, X, and other relevant channels with a sharp focus on cost efficiency and pipeline ROI.
• Own budget allocation, bidding strategy, creative testing, and audience development.

• Develop and execute targeted direct mail programs for high-value account engagement, event follow-up, and ABM campaigns.

Website

• Own Flexport's marketing website as a growth channel — driving SEO, conversion rate optimization, landing page strategy, and content performance.
• Collaborate with design and engineering to ship high-impact web experiences that convert visitors into qualified leads.

Reporting & Analytics

• Build and maintain growth marketing dashboards that track pipeline contribution, channel performance, campaign ROI, and funnel velocity.
• Use data to inform investment decisions and communicate marketing's impact to executive leadership.

Team Leadership

• Manage, mentor, and develop a team of 2–3 growth, product, and performance marketers, fostering a culture of experimentation, accountability, and continuous improvement.
• Work directly with our Founder and CEO and key revenue leaders to execute campaign ideas. 

What We're Looking For

• Experience in B2B growth marketing, demand generation, or performance marketing, with experience managing a growth marketing team.
• Strong preference for former tech founders with experience owning the full end-to-end go to market for a high growth B2B startup.
• Proven track record of driving high-quality enterprise leads and building pipeline for high-growth B2B companies. You understand long sales cycles, buying committees, and what it takes to generate leads that Sales actually wants to work. Experience in logistics, supply chain, or enterprise SaaS is a strong plus.
• A power user of AI in your marketing workflow — you actively use tools like Claude Code, Codex, OpenClaw or similar to accelerate content creation, analysis, and campaign execution. Bonus if you've used vibe coding or low-code AI tools to build marketing pages, automations, or internal tools yourself.
• Deep expertise in paid media (Google, LinkedIn, Meta), marketing automation, and CRM systems (Salesforce).
• Strong analytical instincts — you're fluent in funnel metrics, attribution modeling, and can translate data into action.
• Experience partnering with Product teams on product-led growth initiatives.
• Excellent project management skills with the ability to run multiple campaigns simultaneously without dropping quality.
• Clear, confident communicator who can present strategy and results to senior leadership.
• A bias toward action and experimentation — you ship fast, learn fast, and iterate.

What We're Looking For

Lightning AI is seeking a Senior Storage Infrastructure Engineer to join our Infrastructure Engineering team.

In this role, you will focus on building and operating the storage systems that power large-scale AI/ML training, inference, and HPC workloads. You will work at the intersection of software, hardware, and operations—developing automation, improving reliability, and scaling distributed storage systems across our bare-metal infrastructure.

You will help own the data plane of our storage infrastructure, supporting high-throughput, low-latency data access for some of the most demanding AI workloads. You’ll play a key role in managing and evolving our storage stack (including VAST and S3-compatible systems like Ceph), ensuring performance, reliability, and efficiency at scale.

We’re flexible on location for this team. This role can work hybrid out of one of our US-based hubs (Seattle, NYC, or SF) or fully remote within the U.S., with occasional company and team offsites. We are not able to provide visa sponsorship for this position at this time.

What You'll Do

Storage Systems & Infrastructure

• Operate and scale distributed storage systems, including VAST and S3-compatible object storage (e.g., Ceph)
• Improve performance, reliability, and efficiency of storage systems supporting large-scale AI/ML workloads
• Troubleshoot complex storage and data path issues across hardware and software layers
• Optimize storage performance to support high-throughput, low-latency AI training and inference workloads

Automation & Tooling

• Build and maintain automation for provisioning, managing, and monitoring storage infrastructure
• Develop Python-based tools and workflows to reduce manual operational overhead
• Improve lifecycle management of storage clusters, from deployment through maintenance and scaling

Systems & Operations

• Manage and operate Linux-based systems in production, including bare-metal environments
• Partner with infrastructure and data center teams on hardware bring-up, upgrades, and issue resolution
• Support capacity planning, utilization tracking, and forecasting for storage systems
• Leverage monitoring and telemetry to diagnose issues and improve system performance and reliability

Cross-Functional Collaboration

• Work closely with Infrastructure Engineering, Network Engineering, and Platform teams to integrate storage into the broader platform
• Contribute to design discussions around new infrastructure deployments and scaling strategies
• Help define best practices for operating storage systems in high-performance computing environments

What You'll Need

Required Qualifications

• 5+ years of experience in infrastructure engineering, systems engineering, or related roles
• Hands-on experience operating distributed storage systems (e.g., VAST, Ceph, or similar)
• Strong Linux systems experience in production environments
• Proficiency in Python or similar scripting/programming languages for automation
• Experience working with bare-metal infrastructure and hardware-oriented systems
• Ability to debug complex issues across system boundaries (storage, OS, hardware, networking)
• Experience with storage networking protocols (e.g., NFS or similar)
• Experience with capacity planning, monitoring, and performance tuning

Ideal Experience

• Experience with VAST storage systems in production environments
• Experience operating S3-compatible object storage at scale
• Data center operations experience, including working with physical hardware
• Familiarity with AI/ML or HPC workloads and their storage requirements
• Background in high-performance or low-latency distributed systems
• Familiarity with high-performance data transfer technologies (e.g., RDMA, GPU Direct Storage)
• Experience supporting GPU-based workloads or large-scale compute clusters

Compensation

What We’re Looking For

Lightning AI is seeking an Observability Infrastructure Engineer to join our Infrastructure Engineering team.

In this role, you will own and evolve observability systems across large-scale, GPU-enabled bare-metal infrastructure. You’ll operate at the intersection of infrastructure, data, and product, building platforms for metrics, logs, traces, and alerting that power both internal operations and customer-facing visibility.

You will play a key role in productizing observability, enabling scalable, multi-tenant monitoring experiences while keeping pace with rapid infrastructure buildouts. This includes designing telemetry pipelines, improving signal quality, and delivering actionable insights that ensure reliability and transparency across our platform.

We’re flexible on location for this team. This role can work hybrid out of one of our US-based hubs (Seattle, NYC, or SF) or fully remote within the U.S., with occasional company and team offsites. We are not able to provide visa sponsorship for this position at this time.

What You’ll Do

Observability Platform & Productization

• Own and evolve a scalable observability platform spanning metrics, logs, traces, and events
• Drive the productization of observability capabilities for both internal teams and external customers
• Design multi-tenant observability systems with scoped access, RBAC, and customer-facing visibility
• Continuously improve observability systems to keep pace with rapid infrastructure buildouts

Telemetry & Data Pipelines

• Design and operate telemetry pipelines ingesting data from GPUs, CPUs, networking (Ethernet & InfiniBand), containers, APIs, and BMC/Redfish
• Build systems to correlate signals across infrastructure layers to enable faster debugging and root cause analysis
• Implement streaming and real-time data pipelines using tools such as Kafka, OTEL, Promtail, or similar

Alerting, Reliability & Insights

• Design and implement noise-resistant alerting systems to improve signal quality and reduce operational load
• Create dashboards and alerting for InfraOps, Engineering, and Customer Success teams
• Build automated insights and enable proactive detection, forecasting, and system health visibility at scale

Systems & Infrastructure Engineering

• Contribute to broader infrastructure engineering projects beyond observability
• Partner with infrastructure and platform teams to embed observability into core systems and workflows
• Support large-scale, distributed systems across compute, networking, and storage environments

Cross-Functional Collaboration

• Work closely with customer-facing teams to deliver external observability experiences
• Collaborate with engineering, operations, and support teams to improve system transparency and reliability
• Help define best practices for observability across the organization

What You’ll Need

Required Qualifications

• 5+ years of experience in infrastructure engineering, SRE, or observability-focused roles
• Strong experience with monitoring systems such as Prometheus, Grafana, ELK, or VictoriaMetrics
• Experience building and operating observability platforms at scale
• Proficiency in Python, Go, or bash for automation and data integration
• Familiarity with containerized environments and Kubernetes observability
• Experience with streaming telemetry pipelines (Kafka, OTEL, Promtail, or equivalent)
• Experience with multi-tenant monitoring architectures
• Strong written and verbal communication skills

Ideal Experience

• Experience with GPU observability, particularly NVIDIA DCGM
• Experience monitoring large-scale GPU or HPC clusters
• Familiarity with InfiniBand fabric observability
• Experience building customer-facing or productized infrastructure systems
• Experience with correlation engines, RCA workflows, or predictive alerting systems
• Broad exposure to infrastructure domains including networking, storage, and provisioning

Compensation

What We're Looking For

Lightning AI is seeking a GPU & Compute Infrastructure Engineer to join our Infrastructure Engineering team.

In this role, you will own image management, system diagnostics, and validation across large-scale bare-metal compute infrastructure, with a particular focus on GPU-enabled systems. You will work at the intersection of hardware, systems, and software—developing automation, improving reliability, and enabling efficient cluster bring-up for AI/ML and HPC workloads.

You will play a key role in owning and evolving our image pipeline, running validation environments and test clusters, and supporting both system-level and GPU hardware qualification. This role is critical to ensuring that our infrastructure is consistent, performant, and ready to support demanding AI workloads from day one.

We’re flexible on location for this team. This role can work hybrid out of one of our US-based hubs (Seattle, NYC, or SF) or fully remote within the U.S., with occasional company and team offsites. We are not able to provide visa sponsorship for this position at this time.

What You'll Do

Systems, Image & Validation Infrastructure

• Own and evolve systems for image management, deployment, and validation across bare-metal infrastructure
• Run and maintain test clusters used for system validation, diagnostics, and bring-up
• Validate firmware, drivers, and OS images across compute and GPU-enabled systems
• Support hardware qualification efforts for next-generation platforms

GPU Diagnostics & Performance

• Own GPU diagnostics and validation workflows across large-scale infrastructure
• Diagnose and resolve complex issues across GPUs, drivers, OS, and hardware layers
• Analyze system and GPU performance using tools such as NVIDIA DCGM
• Identify failure patterns and drive improvements in system stability and validation coverage

Automation & Tooling

• Build and maintain automation for provisioning, validation, and system bring-up
• Develop Python-based tools and workflows to improve efficiency and reduce manual operational overhead
• Improve the reliability, repeatability, and scalability of image pipelines and validation systems

Systems & Operations

• Manage and operate Linux-based systems in production and validation environments
• Manage virtualization technology
• Support bare-metal provisioning workflows, including PXE and image-based systems
• Interface with hardware management systems (e.g., IPMI, Redfish) for monitoring and debugging

Cross-Functional Collaboration

• Partner with Infrastructure, Hardware, and Data Center teams on system bring-up and validation
• Collaborate with platform and ML teams to ensure systems meet workload requirements
• Contribute to best practices for provisioning, diagnostics, and lifecycle management of infrastructure

What You'll Need

Required Qualifications

• 5+ years of experience in infrastructure engineering, systems engineering, or related roles
• Strong Linux systems experience in production environments
• Hands-on experience with GPU-enabled systems and tools such as NVIDIA DCGM
• Familiarity with bare-metal provisioning and system bring-up workflows
• Proficiency in Python or similar scripting/programming languages for automation
• Ability to debug complex issues across hardware, OS, GPUs, and system software

Ideal Experience

• Experience with high-performance interconnects (e.g., InfiniBand, NVLink)
• Experience with PXE boot environments, LiveCD systems, or image-based provisioning workflows
• Experience with hardware management interfaces such as iDRAC, IPMI, or Redfish
• Data center operations experience, including working with physical hardware
• Experience supporting AI/ML or HPC workloads at scale
• Experience with GPU validation frameworks or large-scale hardware qualification processes

Compensation

What We're Looking For

We’re looking for a Fullstack Engineer to help develop and scale the Lightning AI platform across the frontend, CLI, APIs, and core backend systems. In this role, you’ll take ownership of key features and drive them end-to-end, working closely with engineering, product, and design to ship high-quality, iterative improvements. This is an opportunity to build systems that support real-world machine learning workloads at scale.

This role is based in one of our hubs (NYC, SF, Seattle, or London), with a minimum of 2 in-office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time.

What You’ll Do

• Write readable/testable/efficient code in React and either Python or Go (Golang).
• Build deep expertise in our technology stack to deliver new features, improve system stability, and increase overall performance.
• Partner with engineering and product leaders on developing the Lightning product while using your experience to set the technical direction for large projects.
• Evaluate, strengthen, and document technical architecture, tools, and processes.
• Maintain high standards for software quality, implement automation, drive continuous delivery, and reduce time to production while proactively reducing technical debt.
• Mentor and coach engineers on system design, operating in high uncertainty, and problem-solving to create a supportive, inclusive environment where each engineer can grow.

What You’ll Need

• Proficiency in React and either Go (Golang) or Python, with a preference for Go
• Strong understanding of software engineering principles and lifecycle
• Hands-on experience as a Fullstack Engineer in a SaaS technology company
• Proven ability to take ownership of key features and drive end-to-end development
• Communication and collaboration with engineers, product managers, and designers
• Ability to operate in high uncertainty and rapidly changing environments

Compensation

What We're Looking For

We’re looking for a Frontend Engineer to help develop and scale the UI and frontend infrastructure of the Lightning AI platform. In this role, you’ll take ownership of key features and drive them end-to-end, working closely with engineering, product, and design to ship high-quality, iterative improvements. With over 10,000 organizations building with Lightning, you’ll have a unique opportunity to impact how the world builds and deploys AI to production.

This role is based in one of our hubs (Seattle, NYC, SF, or London), with a minimum of 2 in-office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time.

What You’ll Do

• Write readable/testable/efficient code in React and Redux, and build deep expertise in our technology stack to deliver new features, improve system stability, and increase overall performance.
• Partner with engineering and product leaders on developing the user interface and frontend infrastructure while using your experience to set the technical direction for large projects.
• Evaluate, strengthen, and document technical architecture, tools, and processes.
• Maintain high standards for software quality, implement automation, drive continuous delivery, and reduce time to production while proactively reducing technical debt.
• Mentor and coach engineers on system design, operating in high uncertainty, and problem-solving to create a supportive, inclusive environment in which each engineer can grow.

What You’ll Need

• Proficiency in React, JavaScript and TypeScript.
• Strong understanding of software engineering principles and lifecycle.
• Hands-on experience as a Frontend Engineer in a SaaS technology company.
• Proven ability to take ownership of key features and drive end-to-end development.
• Communication and collaboration with engineers, product managers, and designers.
• Ability to operate in high uncertainty and rapidly changing environments.

Compensation

What We're Looking For

We’re looking for a Backend Engineer to help develop and scale the Lightning AI platform, spanning APIs, infrastructure, billing, security, and integrations. In this role, you’ll take ownership of key features and drive them end-to-end, working closely with engineering, product, and design to ship high-quality, iterative improvements. This is an opportunity to build systems that support real-world machine learning workloads at scale.

This role is based in one of our hubs (Seattle, NYC, SF, or London), with a minimum of 2 in-office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time.

What You’ll Do

• Write readable/testable/efficient code in Go (Golang).
• Build deep expertise in our technology stack to deliver new features, improve system stability, and increase overall performance.
• Partner with engineering and product leaders on developing the Lightning product while using your experience to set the technical direction for large projects.
• Evaluate, strengthen, and document technical architecture, tools, and processes.
• Maintain software quality, implement automation, drive continuous delivery, and reduce time to production while proactively reducing technical debt.
• Mentor and coach engineers on system design, operating in high uncertainty, and problem-solving to create a supportive, inclusive environment where each engineer can grow.

What You’ll Need

• Extensive experience writing efficient, maintainable code in Go. Familiarity with best practices in testing, readability, and optimization is essential.
• Broad knowledge of backend and frontend systems, with experience building and scaling APIs, CLI tools, billing systems, and security protocols. Exposure to frontend frameworks is a plus.
• Experience with cloud platforms like AWS, GCP, or Azure and designing systems that are reliable, performant, and scalable. Familiarity with containerization (Docker, Kubernetes) is a strong advantage.
• Proven ability to take ownership of key features and drive end-to-end development
• Commitment to software quality, test automation, and continuous delivery. Experience proactively managing technical debt and speeding up time to production.
• Hands-on experience as a backend or product engineer in a SaaS technology company
• Communication and collaboration with engineers, product managers, and designers
• Ability to operate in high uncertainty and rapidly changing environments

Compensation

Role

We are looking for a Director of AI Strategy - Engineering Productivity to join our Engineering Operations team. This is a hybrid role based out of our San Jose, CA office (3 days a week in office), reporting to the Senior Director, Technical Program Management, Zero Trust Exchange. In this role, you will define and champion the company's AI strategy for engineering productivity by evaluating, securing, and integrating AI-driven developer tools and CI/CD pipeline enhancements. You will drive widespread engineering efficiency by replacing fragmented team practices with a unified enterprise governance model, measurable business metrics, and a structured budget for AI adoption.

What you’ll do (Role Expectations)

• Define and lead the Enterprise AI Strategy by developing a unified engineering governance model to standardize AI workflows, prompting techniques, and QA frameworks
• Lead the hands-on evaluation, selection, and rollout of AI developer tools while driving consensus to consolidate vendors and manage a dedicated productivity budget
• Architect AI-enhanced CI/CD pipelines by integrating AI agents and advanced automation while establishing business-oriented metrics to measure tangible impact
• Partner cross-functionally with Security and IT teams to ensure all AI tools are deployed safely, addressing data privacy and protecting proprietary codebases
• Exercise cross-functional influence to build consensus around the AI roadmap, moving the company from isolated experimentation into a structured master plan

Who You Are (Success Profile)

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback, knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are driven by innovation. You have a deep curiosity for how things work and are energized by solving complex technical challenges. You believe in the power of technology to accelerate transformation and are always looking for a better, more secure, and scalable way.
• You think at scale. You connect your day-to-day work to the larger company mission and think globally. You build solutions, processes, and teams that are not just effective today but are built to last and support a high-growth, global organization.
• You are resilient and adaptable. You view change as an opportunity and setbacks as temporary. You maintain composure and focus in high-pressure situations, guiding yourself and your team through complexity with a steady, positive hand.

What We’re Looking for (Minimum Qualifications)

• Proven experience defining and executing an AI strategy specifically focused on engineering productivity
• Deep technical expertise in modern software development lifecycles (SDLC) with hands-on experience evolving CI/CD pipelines using AI agents
• Demonstrated experience navigating enterprise security protocols and partnering with InfoSec teams to deploy AI models safely within an enterprise environment
• Strong strategic thinking and stakeholder management skills with a proven ability to influence leadership and drive a unified master plan across multiple teams

What Will Make You Stand Out (Preferred Qualifications)

• Strong foundational background in DevOps or Platform Engineering
• Experience establishing business-oriented metrics to measure AI ROI and managing dedicated budgets for engineering productivity tools

#LI-Hybrid #LI-KM9

We are looking for a Staff Engineer to join our Shared Platform Services team. This is a hybrid role based in San Jose, CA, reporting to the Sr. Manager, Software Engineering QA. As a Staff Engineer, you will be instrumental in leading functional, system, and automation testing for Zscaler features while expanding automation infrastructure to enhance quality and efficiency.

What you’ll do (Role Expectations)

• Collaborate across Development, Product Management, and Federal Cloud Operations teams to ensure timely delivery of high-quality products through design, testing, and release

• Lead functional, system, and automation testing efforts, expanding automation coverage and ensuring efficiency and robust quality assurance

• Manage Federal cloud processes, including deployment procedures, monitoring, and resolving escalations in collaboration with Federal operations and support teams

• Investigate and resolve complex production issues by identifying root causes, verifying fixes, and developing comprehensive test plans

• Contribute to team growth by hiring and training new talent, fostering a culture of inclusivity, and staying updated on evolving technologies

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.

• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.

• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.

• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• US Citizenship Required with 5+ years of Software Development or Quality Assurance experience, specifically within networking and security environments

• Strong expertise in cloud-hosted applications, database operations, API testing, microservices architecture, and automation scripting using Python

• Proficiency in L4-L7 Internet and Security networking protocols including TCP/IP, SSL/TLS, and HTTP/HTTPS

• Experience with deployment and monitoring tools such as Jenkins, GitLab, and Ansible

• Bachelor’s degree in Computer Science Engineering or a related field with a proven ability to troubleshoot complex cloud issues

What Will Make You Stand Out (Preferred Qualifications)

• Experience with AI in testing and automation, leading quality teams, and familiarity with FedRAMP qualification

• Deep knowledge of Linux system administration, traffic generation tools like Ixia or Spirent, and relevant cloud or networking certifications

• Understanding of authentication systems such as LDAP and SAML, encryption solutions, and debugging Linux systems

#LI-JM1 #LI-Hybrid

About Us MGT Insurance is modernizing the insurance industry with cutting-edge web technologies and user-centric design. We are seeking an Agentic Engineer with over 6 years of experience and a deep expertise in AI agents, LLMs, and autonomous system architectures to join our engineering, data science, and insurance product teams in building the next generation of self-directed insurance platform capabilities.

Position Overview As anAgentic Engineer, you will be responsible for designing, developing, and deploying sophisticated AI agent systems that can reason, plan, and execute complex insurance workflows autonomously. This role requires a combination of hands-on AI engineering, technical leadership, and strategic automation development to build intelligent agents that transform how our platform operates and serves customers.

Key Responsibilities

• Agentic System Architecture: Lead the design and implementation of multi-agent systems using LLMs, vector databases, and agent orchestration frameworks to create intelligent, goal-oriented automation.
• Reasoning & Planning Systems: Implement advanced reasoning capabilities including chain-of-thought processing, multi-step planning, and decision trees for complex insurance scenarios.
• Observability & Monitoring: Design comprehensive observability frameworks for agent systems including real-time performance metrics, decision tracing, and behavioral analytics to ensure full visibility into autonomous operations.
• Testing & Quality Assurance: Implement rigorous testing strategies for agentic systems including unit testing for agent components, integration testing for multi-agent workflows, and adversarial testing for edge cases and failure modes.
• Regulatory Compliance & Governance: Establish comprehensive governance frameworks that ensure agent decision-making processes meet insurance regulatory requirements including audit trails, explainability standards, fair lending compliance, and state insurance commission oversight requirements.

Qualifications

• Expertise in LLMs and Agent Frameworks including OpenAI GPT, Anthropic Claude, LangChain, CrewAI, or similar platforms for building autonomous AI systems.
• Strong software engineering background with proficiency in Python, TypeScript, and modern AI/ML deployment patterns including vector databases, embedding systems, and real-time inference.
• Experience with agent architecture patterns including ReAct, function calling, multi-agent coordination, and tool use frameworks for complex workflow automation.

Location: Candidates based in Madison, Wisconsin or San Francisco, California are preferred to facilitate close collaboration with our team.

Who We Are

• Small & Agile: We're a tight-knit engineering team of fewer than 10 people who move fast and make things happen
• High Agency: We operate with autonomy and ownership - everyone acts like a founder and drives meaningful impact
• Action-Oriented: We believe in "see something, do something" - no bureaucracy, just results
• Passionate Builders: We take pride in crafting elegant code, intuitive applications, and solving real problems
• Team First: We genuinely enjoy working together and believe great products come from great relationships
• Quality Focused: We ship code we're proud of and build systems that stand the test of time

What We Offer

• Competitive salary and benefits package.
• Leadership role in pioneering autonomous AI systems in the insurance industry.
• A unique opportunity to build cutting-edge agentic technology that transforms insurance operations.
• A collaborative and forward-thinking work environment at the intersection of AI and insurance.
• Continuous learning and career development opportunities in emerging AI technologies and autonomous system leadership.

Compensation Range: $175,000 – $300,000 annual base salary + bonus + equity (commensurate with experience and dependent on location)   

The Role

We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. 

The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: 

1. Environments for Software Engineering / coding agents 
2. UI-Environments for Computer-Use/Browser-Use agents 
3. MCP-based Environments for general function-calling agents across various enterprise and consumer applications

The Frontier Data Lead – Code will own end-to-end the creation of datasets, RL environments, and evals for frontier AI labs in the domain of coding agents and software engineering. This is a hands-on technical leadership role where you influence revenue directly – you will be mapped to one or more AI labs and interface directly with researchers / engineers at those labs to understand their needs and build data offerings to address those needs. To achieve this, you will build and manage teams of software engineers, researchers, QAs, and contractors/data-annotators from Turing’s talent pool of 4M+ developers.  

You’ll be responsible for delivering projects at frontier quality and scale—owning data quality, throughput, and timely delivery. You’ll define and manage data pipelines, validation workflows, and review processes to ensure datasets meet the highest standards for realism, correctness, and diversity. You’ll also develop automations, synthetic data generation systems, and internal tools to scale production efficiently. 

In short, you’ll run your project like a startup within Turing, owning both the technical architecture and the operational execution required to produce best-in-class datasets/environments/evals to make the world’s best coding agents and models even better at real-world coding tasks across the software development lifecycle.

What you’ll do

1. End-to-End Ownership: Data Quality, Process Design, and Team Building

• Lead the creation of datasets, rl environments, and evals focused on Coding Agents / Software Engineering for one or more AI lab customers.
• Ensure that everything you ship to clients meets frontier standards for realism, correctness, diversity, and difficulty.
• Set up quality rubrics, automated validation scripts, and human review processes for every stage of data generation.
• Build and lead cross-functional teams of software engineers, researchers, QAs, and data creators drawn from Turing’s 4M+ developer network.
• Interview, onboard, train, and mentor team members to ensure consistent output quality and technical excellence.

2. Collaborate with Researchers at Frontier Labs

• Act as the primary technical point of contact for your customer projects, interfacing directly with researchers and engineers at frontier AI labs to understand their coding agent roadmap and model data needs, to gather feedback, and to co-define success criteria for your projects.
• Provide regular progress updates, surface insights from model evaluations, and incorporate client feedback to improve future iterations.

3. Drive Research, Sales Enablement, and Industry Thought Leadership

• Fine-tune models in-house on Turing-generated datasets or Turing-rl-environment generated trajectories to determine model improvement as a proof of data quality
• Proactively build benchmarks and run evals on frontier models and coding agents to identify strengths and weaknesses on SWE tasks, and leverage these insights to inform product roadmap
• Equip customer-facing teams with the Evaluation reports, sample datasets, and trainings to enable them to communicate your data offerings to customers most effectively
• Publish research papers and technical posts on Turing’s data products, innovations in our synthetic data generation / automation pipelines, evaluations of frontier agents and models, and Turing’s model fine-tuning results on our datasets.

4. Build Tools and Infrastructure

• Oversee development of internal tools that accelerate data generation and verification (e.g., automated data scraping pipelines, unit test generators, repo sandboxing).
• Design dashboards and APIs for customers to run model evals, view performance reports, and integrate Turing data directly into their post-training pipelines.

What we’re looking for

• Post-training experience on SWE tasks or experience building coding agents: We expect that you have a deep understanding of data ingredients and design principles that lead to measurable coding model improvements, either from fine-tuning models to improve SWE capabilities or building your own coding agents to improve upon SWE capabilities of the base model.
• Engineering Management experience: have led teams of engineers in the past, including interviewing/hiring them and setting up QA processes.Hands-on technical capability: Fluency in Python and proficiency in one or more major languages (C++, Java, Go, Rust, or JS).
• Operational leadership: Proven ability to manage complex data pipelines, multi-stakeholder delivery, and concurrent high-stakes projects.
• Cross-functional communicator: ability to communicate clearly with researchers at frontier AI labs, subject matter experts for various domains, and diverse teams.
• Background in Computer Science, Machine Learning, or related technical field preferred.

Why Turing

• Work directly with the world’s leading AI labs and enterprises at the cutting edge of post-training and RL environment design.
• Real impact (path to AGI): your datasets and environments will directly influence the trajectory toward Artificial General Intelligence and, ultimately, Superintelligence. Coding is the core reasoning substrate of intelligence—advancing models’ ability to understand, design, and write code is effectively advancing their capacity for logic, planning, and abstract thought.
• Real Impact (GDP): automating software engineering unlocks one of the largest productivity frontiers in history. The software engineering market represents trillions in global GDP, and every percentage gain in automation translates to profound efficiency and innovation benefits across all industries.
• Talent-dense team, where you'll find high autonomy, rapid iteration, and an exceptional learning curve.

Compensation: $250,000 to $350,000 OTE + Equity

The Role

Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world’s leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. 

The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: 

1. Environments for Software Engineering / coding agents 
2. UI-Environments for Computer-Use/Browser-Use agents 
3. MCP-based Environments for general function-calling agents across various enterprise and consumer applications

The Staff Research Engineer – Code will own end-to-end the creation of datasets, RL environments, and evals for frontier AI labs in the domain of coding agents and software engineering. This is a hands-on technical leadership role where you influence revenue directly – you will be mapped to one or more AI labs and interface directly with researchers / engineers at those labs to understand their needs and build data offerings to address those needs. To achieve this, you will build and manage teams of software engineers, researchers, QAs, and contractors/data-annotators from Turing’s talent pool of 4M+ developers.  

You’ll be responsible for delivering projects at frontier quality and scale—owning data quality, throughput, and timely delivery. You’ll define and manage data pipelines, validation workflows, and review processes to ensure datasets meet the highest standards for realism, correctness, and diversity. You’ll also develop automations, synthetic data generation systems, and internal tools to scale production efficiently. 

In short, you’ll run your project like a startup within Turing, owning both the technical architecture and the operational execution required to produce best-in-class datasets/environments/evals to make the world’s best coding agents and models even better at real-world coding tasks across the software development lifecycle.

What you’ll do

1. End-to-End Ownership: Data Quality, Process Design, and Team Building

• Lead the creation of datasets, rl environments, and evals focused on Coding Agents / Software Engineering for one or more AI lab customers.
• Ensure that everything you ship to clients meets frontier standards for realism, correctness, diversity, and difficulty.
• Set up quality rubrics, automated validation scripts, and human review processes for every stage of data generation.
• Build and lead cross-functional teams of software engineers, researchers, QAs, and data creators drawn from Turing’s 4M+ developer network.
• Interview, onboard, train, and mentor team members to ensure consistent output quality and technical excellence.

2. Collaborate with Researchers at Frontier Labs

• Act as the primary technical point of contact for your customer projects, interfacing directly with researchers and engineers at frontier AI labs to understand their coding agent roadmap and model data needs, to gather feedback, and to co-define success criteria for your projects.
• Provide regular progress updates, surface insights from model evaluations, and incorporate client feedback to improve future iterations.

3. Drive Research, Sales Enablement, and Industry Thought Leadership

• Fine-tune models in-house on Turing-generated datasets or Turing-rl-environment generated trajectories to determine model improvement as a proof of data quality
• Proactively build benchmarks and run evals on frontier models and coding agents to identify strengths and weaknesses on SWE tasks, and leverage these insights to inform product roadmap
• Equip customer-facing teams with the Evaluation reports, sample datasets, and trainings to enable them to communicate your data offerings to customers most effectively
• Publish research papers and technical posts on Turing’s data products, innovations in our synthetic data generation / automation pipelines, evaluations of frontier agents and models, and Turing’s model fine-tuning results on our datasets.

4. Build Tools and Infrastructure

• Oversee development of internal tools that accelerate data generation and verification (e.g., automated data scraping pipelines, unit test generators, repo sandboxing).
• Design dashboards and APIs for customers to run model evals, view performance reports, and integrate Turing data directly into their post-training pipelines.

What we’re looking for

• Post-training experience on SWE tasks or experience building coding agents: We expect that you have a deep understanding of data ingredients and design principles that lead to measurable coding model improvements, either from fine-tuning models to improve SWE capabilities or building your own coding agents to improve upon SWE capabilities of the base model.
• Engineering Management experience: have led teams of engineers in the past, including interviewing/hiring them and setting up QA processes.Hands-on technical capability: Fluency in Python and proficiency in one or more major languages (C++, Java, Go, Rust, or JS).
• Operational leadership: Proven ability to manage complex data pipelines, multi-stakeholder delivery, and concurrent high-stakes projects.
• Cross-functional communicator: ability to communicate clearly with researchers at frontier AI labs, subject matter experts for various domains, and diverse teams.
• Background in Computer Science, Machine Learning, or related technical field preferred.

Why Turing

• Work directly with the world’s leading AI labs and enterprises at the cutting edge of post-training and RL environment design.
• Real impact (path to AGI): your datasets and environments will directly influence the trajectory toward Artificial General Intelligence and, ultimately, Superintelligence. Coding is the core reasoning substrate of intelligence—advancing models’ ability to understand, design, and write code is effectively advancing their capacity for logic, planning, and abstract thought.
• Real Impact (GDP): automating software engineering unlocks one of the largest productivity frontiers in history. The software engineering market represents trillions in global GDP, and every percentage gain in automation translates to profound efficiency and innovation benefits across all industries.
• Talent-dense team, where you'll find high autonomy, rapid iteration, and an exceptional learning curve.

Compensation: $250,000 to $350,000 OTE + Equity

THE ROLE

As a Senior Systems QA Engineer on the FlashArray team, you will be the final guardian of quality for the world’s most innovative, mission-critical storage portfolio. You’ll collaborate across Software Engineering and Support teams to ensure our customers experience 100% uptime while leveraging cutting-edge cloud integrations. Your mission is to bridge the gap between complex hardware-software stacks and seamless user experiences, driving the reliability that defines our brand.

WHAT YOU'LL DO

• Drive Release Integrity: Own the end-to-end qualification and strategy for major shipping releases, ensuring every update strengthens our reputation for "never-down" reliability.

• Architect Automated Resilience: Design and build sophisticated Python-based automation tools and frameworks to simplify integration workflows and eliminate manual testing bottlenecks.

• Engineer System Reliability: Lead the triage and root-cause analysis of complex failures across multi-machine stacks, collaborating with Escalation teams to resolve high-impact customer scenarios.

• Innovate Test Strategy: Define comprehensive test plans for next-generation storage features—including high availability and cloud-native applications—to identify corner cases before they reach production.

• Optimize Performance: Analyze I/O paths, latency, and throughput trade-offs to ensure our products outperform industry standards in real-world customer workloads.

• We are primarily an in-office environment and therefore, you will be expected to work from the Santa, Clara, CA office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave.

WHAT YOU BRING

• Storage Ecosystem Expertise: Deep technical command of the storage stack (RAID, Deduplication, NVMe, iSCSI) and virtualization technologies like VMware, Hyper-V, or OpenStack.

• Automation Mastery: Advanced proficiency in Python and a proven track record of building automated test suites that scale across complex hardware/software environments.

• Systems Architecture Fluency: A comprehensive understanding of operating systems (Linux/Windows), file systems, and how customer workloads interact with block storage.

• Analytical Problem Solving: The ability to deconstruct intricate system failures, perform rigorous root-cause analysis, and design creative testing scenarios for high-availability clusters.

• Collaborative Communication: A natural curiosity and the ability to articulate technical challenges and solutions clearly to cross-functional engineering and support partners.

MUST HAVE

• Knowledge of Storage stack: high availability, caching, flash drives, RAIDs, dedup/compression etc. 

• Interoperability testing; firmware updates; backwards compatibility; upgrade paths; deployment with customer‑use cases

• Experience working in hardware labs or data centers with Storage arrays

• Knowledge of storage protocols such as Fibre Channel, FCoE, iSCSI, NVMe, SCSI, NFS, SMB

We are primarily an in-office environment and therefore, you will be expected to work from the Santa Clara, CA office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave.

 #LI-ONSITE

THE ROLE

The Release Manager is a senior individual contributor position requiring a blend of technical depth, process discipline, and strong cross-functional coordination skills to ensure that software releases are planned, coordinated, and delivered efficiently, reliably, and with minimal disruption to business operations. Acting as the central point of control for release activities, this individual partners with development teams, environment owners, and network operations to manage the end-to-end release process from release planning  through deployment and post-release review.

WHAT YOU'LL DO

Release Planning & Coordination

• Establish and maintain release calendars across ERP (e.g., SAP, NetSuite), CRM (e.g., Salesforce, Logik), and integration tools (e.g., Boomi).
• Own and maintain the enterprise release calendar, aligning release timelines and environment maintenance with business priorities and technical readiness.
• Collate release scope, dependencies, and schedules across multiple applications, teams, and environments.
• Facilitate, go/no-go meetings, and cutover planning sessions.

Governance & Quality Assurance

• Ensure all releases meet defined entry/exit criteria, change control policies, and compliance requirements.
• Define and continuously refine release management standards, templates, and best practices.
• Maintain release documentation, including release notes, deployment plans, and rollback procedures.
• Establish and administer environment management governance, promotion criteria, and promotion governance practices
• Ensure runbooks for environment refresh and system deployment are in place and current for the individual platforms and the environments as a whole.

Execution & Risk Management

• In collaboration with individual platform and domain owners, oversee and coordinate deployment execution across environments (test, QA/SIT, pre-production, production).
• Identify, communicate, and manage release-related dependencies, risks, and issues. Develop and track mitigation and rollback plans as needed.
• Serve as the primary escalation point during release execution, ensuring timely resolution of blocking issues for deployments.

Collaboration & Communication

• Provide clear, consistent communication on release scope, schedule, and status to critical stakeholders including PMO, OCM, development teams, and business stakeholders.
• Collaborate with PMO and teams to ensure program plans and PI plans account for and are in alignment with the release calendar.
• Engage with business partners to ensure release plans, environment management plans, and overall release calendars include business-driven black-out periods and other key business events that can affect deployment and go-live of new releases.

Continuous Improvement

• Establish release-related metrics for success, including measures such as release success rates, deployment frequency, refresh cycle time, and change failure rates.
• Produce and distribute regular release dashboards and reports, including key release-related success metrics, upcoming releases and deployments, and environment maintenance.
• Partner with SRE, DevOps, and development teams to automate and streamline release processes.
• Conduct periodic reviews and drive continuous improvement initiatives to enhance release quality, reliability, and speed.
• Contribute to the evolution of CI/CD and environment management practices based on objective data and lessons-learned from release retrospectives and incident response.

• We are primarily an in-office environment and therefore, you will be expected to work from the {{OFFICE_LOCATION}} office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave.

WHAT YOU BRING

Required

• Detail-oriented with strong analytical and problem-solving skills.
• Calm and decisive under pressure, able to quickly respond to issues and remediate problems
• Process-driven yet adaptable to agile and fast-moving delivery models.
• Previous experience managing release across multiple business applications CRM, ERP, HCM etc..
• Collaborative, proactive communicator who builds trust across technical and business teams.
• Excellent communication, organizational, and stakeholder management skills.
• Demonstrated ability to manage multiple concurrent releases under tight deadlines with minimal supervision.
• 8+ years of experience in release management, build/release engineering, or DevOps coordination in complex IT or high-tech product environments.
• Strong understanding of software development lifecycles (SDLC), agile methods, and ITIL release management principles.
• Proven experience coordinating cross-functional teams and developing governance structures
• Solid technical understanding of work planning tools (e.g. JIRA), CI/CD pipelines, source control (e.g., Git), and deployment automation tools (e.g., Jenkins, Azure DevOps, GitHub CI/CD).

Preferred

• Familiarity with cloud environments (AWS, Azure, GCP) and containerized deployments (Docker, Kubernetes)
• Familiarity with Observability platforms such as Datadog and Splunk
• ITIL Foundation or similar certification
• Working knowledge of Scaled Agile Framework and practices such as PI Planning
• Experience in regulated or large enterprise environments
• Experience working with ServiceNow for change management, CMDB and other functions

#LI-TH3,  #LI-ONSITE

THE ROLE

As the Journey Orchestration Lead, you will be the architect of Everpure’s personalized buyer experience, transforming static campaigns into a dynamic, one-to-one marketing engine. You’ll sit at the critical intersection of Marketing Data Strategy and Campaign Execution, using our Customer Data Platform (CDP) to trigger high-impact, real-time interactions across all global channels. By partnering with Product Marketing and Data Science, you will ensure every touchpoint feels intentional, moving our audience from initial research to loyal partnership through sophisticated automation.

WHAT YOU'LL DO

• Architect Multi-Channel Journeys: Partner with Journey Managers and Product Marketing to design and blueprint end-to-end automated maps that guide key buyer personas through the Everpure Platform ecosystem.
• Define "Next Best Action" Logic: Design and implement the complex business rules within our CDP and marketing automation tools that dictate real-time engagement based on specific behavioral and demographic signals.
• Drive Real-Time Activation: Lead the build, QA, and deployment of event-triggered programs in Marketo and Adobe, ensuring seamless delivery of dynamic content across web, paid media, and email channels.
• Optimize Performance & Conversion: Establish a rigorous A/B testing roadmap and monitor journey health to identify bottlenecks, providing actionable insights that improve conversion rates and progression through the sales funnel.
• Govern Global Standards: Own the naming conventions, quality control, and data compliance (GDPR/CCPA) for all automated assets to ensure a flawless and scalable global execution framework.
• In-Office Collaboration: We are primarily an in-office environment and therefore, you will be expected to work from the Santa Clara office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave.

WHAT YOU BRING

• Expert Marketing Automation Mastery: Advanced, hands-on proficiency in B2B marketing automation (specifically Marketo Engage) and a deep understanding of how to integrate these tools with Salesforce and data warehouses.
• Data-Driven Orchestration Skills: Proven ability to translate complex data schemas, predictive scores, and CDP outputs into actionable journey logic and segmented audience triggers.
• Strategic Process Leadership: A track record of redesigning cross-functional processes and influencing stakeholders across Sales, Marketing, and Digital Transformation to build scalable buyer experience frameworks.
• Analytical Rigor: Strong fluency in multivariate testing and optimization techniques, with the ability to turn in-journey metrics into strategic recommendations for leadership.

#LI-ONSITE

#LI-KT1

About the Role

We are seeking an Engineering Manager, Platform Engineering to lead teams responsible for building and operating the core platforms, cloud infrastructure, and developer tooling that power a high-scale, high-availability eCommerce ecosystem.

This role combines technical leadership, people management, and cross-functional collaboration. You will help shape platform strategy, guide architectural decisions, and enable engineering teams to deliver reliable systems safely and efficiently. While primarily a leadership role, this position values hands-on technical engagement to stay close to the systems and challenges teams face.

Key Responsibilities

• Define and evolve the platform engineering strategy, setting technical direction and multi-quarter roadmaps aligned with product and business priorities.
• Lead cloud and infrastructure engineering, including compute, networking, storage, and infrastructure as code, with a focus on scalability, reliability, security, and cost awareness.
• Guide platform architecture and critical technical decisions, ensuring systems are resilient, maintainable, and capable of supporting future growth.
• Own DevOps and CI/CD practices, improving build, test, deployment, and release workflows through automation and continuous improvement.
• Anticipate and address systemic risks, proactively identifying and resolving platform issues before they impact reliability, performance, or security.
• Build and maintain shared platforms and developer tooling, enabling application teams to safely operate and evolve systems at scale.
• Strengthen observability and operational practices, including monitoring, logging, alerting, and incident response to support operational readiness.
• Partner closely with product, architecture, security, and application teams, aligning priorities, managing tradeoffs, and communicating risks and dependencies.
• Lead and develop cross platform engineering teams, providing mentorship, clear priorities, and an inclusive, collaborative environment that supports growth and delivery.
• Participate in hiring and team development, helping build and sustain a strong engineering culture.

Qualifications

• 7+ Years of professional experience in software engineering with a focus on platform, infrastructure, or DevOps
• 3+ years of experience in an engineering management or technical leadership role
• 7+ years of experience and knowledge of cloud platforms (AWS, GCP, Azure, or similar)
• Experience with distributed systems, containerization, orchestration (e.g., Kubernetes), and infrastructure as code
• Experience owning or supporting CI/CD pipelines and automation
• Ability to lead architectural discussions and make data-informed technical decisions
• Strong communication skills and experience collaborating across teams

Preferred

• Experience supporting high-scale or consumer-facing platforms
• Background in Java/JVM-based systems and cloud-native architectures
• Experience with multi-region or multi-cloud environments
• Familiarity with open-source technologies and ecosystems
• Experience building or operating internal platforms or developer experience tooling
• Knowledge of observability, reliability, and service ownership practices

The base salary range for this position is $188,000-$235,000 per year which represents the current range for the base salary for this exempt position. Please note that actual salaries will vary based on factors including but not limited to location, experience, and performance. As such, on occasion and when applicable, there is the possibility that the final, agreed-upon base salary may be outside of the upper end of the range. Please also note the range listed is just one component of the company’s total rewards package for exempt employees. Other rewards may include performance bonuses, long term incentives, a PTO policy, and many other progressive benefits.

OVERVIEW

The Director of Global Logistics Programs & Solutions is accountable for the performance management, and analytical optimization of global logistics across the Alo network. This role owns monthly logistics KPIs, measuring transit times, duty impact, cost-per-unit / cost per package by category and service mode (Ocean, Air, Truck, Small Parcel). ln addition, this role will lead Carrier RFP Processes, freight volume forecasting and rate quote analysis using robust analytics and systems-enabled insights.

RESPONSIBILITIES  

• Lead a team of 2-5 Managers and Analysts focused on execution, analytics, provider management, and compliance support.
• Own and govern monthly logistics and landed-cost KPIs, including lead times, on-time delivery, cost per unit, duty cost per unit, capacity utilization, and service variability.
• Track savings, cost avoidance, and margin impact, ensuring results are measurable and auditable.
• Build, maintain, and continuously refine analytical models forecasting models and dashboards to track performance by category, origin, lane, provider, and channel.
• Partner with Logistics Teams to conduct monthly / quarterly business reviews using data-driven narratives that translate performance gaps into clear actions.
• Partner with Trade Compliance and finance teams to model tariff changes, regulatory risk, and mitigation strategies.
• Develop and maintain cost models to support sourcing decisions, RFP evaluations, and network changes.
• Partner with IT data teams to improve data quality, automation, system integrations.
• Support peak season, promotions, and new market launches with analytics-driven execution plans.

QUALIFICATIONS

• 10+ years of experience in logistics or supply chain execution within retail apparel or fashion.
• Bachelor’s degree required; (Business, Supply Chain, Data Analytics).
• Experience with Logistics analytics platforms, BI tools (e.g., Tableau, Power BI,) and advanced Excel or SQL-based analysis.
• Demonstrated ownership of logistics KPIs, landed-cost analytics, and lead-time optimization.
• Advanced analytical capability, including experience building models, dashboards, and performance frameworks.
• Strong understanding of Ocean, Air, FTL, Parcel Rates, tariffs, duties, customs processes, and their financial impact.
• Excellent written and verbal communication skills, demonstrating the ability to translate complex data into clear operational and financial decisions.

The base salary range for this position is $185,000-$200,000 per year which represents the current range for the base salary for this exempt position. Please note that actual salaries will vary based on factors including but not limited to location, experience, and performance. As such, on occasion and when applicable, there is the possibility that the final, agreed-upon base salary may be outside of the upper end of the range. Please also note the range listed is just one component of the company’s total rewards package for exempt employees. Other rewards may include performance bonuses, long term incentives, a PTO policy, and many other progressive benefits.

OVERVIEW

We’re hiring an Operations Program Manager to partner with the Global Construction & Facilities team to drive program and process excellence across store development and facilities operations. This hands-on program role will design, implement, and continuously improve workflows, tooling, onboarding, and AI-enabled automation that increase velocity, consistency, and data-driven decision making across real estate, design and construction. The ideal candidate understands the full lifecycle of store development (real estate, design, construction and handoff to operations), thinks strategically about short- and long-term roadmaps, and can translate vision into pragmatic programs, tools and measurable outcomes.

This role reports directly to the VP of Construction & Facilities and will also hold a dotted-line relationship into Regional Construction & Facilities Directors to ensure regional alignment, adoption and feedback loops. It is both strategic and operational — owning program roadmaps, requirements, vendor/partner evaluation, cross-functional change management, and the hands-on delivery of tooling, integrations, and training to ensure high adoption and business impact.

RESPONSIBILITIES  

• Own the program roadmap for process, tooling, and automation across Construction & Facilities — prioritize initiatives that deliver the greatest operational leverage and ROI.
• Map, document, and continually refine end-to-end workflows for store development (site selection / landlord work, design iterations, permitting, construction, closeout, and facilities handover).
• Drive design, implementation and adoption of project management and facilities management platforms and supporting tools (e.g., Smartsheet, Procore / PlanGrid / Autodesk, Service Channel or equivalents). Lead configuration, templates, reporting, and governance.
• Lead AI enablement and automation initiatives — identify opportunities, develop pilots (e.g., document classification, automated notifications, schedule risk detection), and operationalize successful pilots into production.
• Build and maintain integrations between systems (PM platforms, finance, asset/facilities systems, reporting) to ensure a single source of truth for project data and KPIs.
• Establish program governance, success metrics, SLAs and reporting that provide transparency to senior leadership and cross-functional stakeholders.
• Lead onboarding and training programs (playbooks, workshops, office hours) to drive consistent adoption and maturity across regional teams and external partners.
• Partner tightly with Real Estate, Store Design, Construction, Facilities, Operations, IT and Finance to align on requirements, timelines and change management plans; actively engage Regional Construction & Facilities Directors via the dotted-line relationship to surface regional needs and ensure rollout fidelity.
• Evaluate and manage external technology vendors and professional services partners; write RFPs, manage selections and oversee implementations.
• Run pilot programs and iterative releases — collect user feedback, measure outcomes, and roll out scalable solutions.
• Provide regular executive updates and deliver clear presentations that communicate strategy, status, risks and outcomes.
• Serve as a subject matter expert on process best practices across retail store development and facilities operations.

QUALIFICATIONS

• 7+ years of program / operations / product management experience supporting construction, facilities, or store development programs (retail experience highly preferred).
• Demonstrated understanding of the full store development lifecycle including real estate/lease milestones, design review cycles, permitting, construction delivery and closeout / operational handoff.
• Hands-on experience implementing and administering Smartsheet and at least one construction PM platform (Procore, PlanGrid, Autodesk BIM 360 or equivalent).
• Proven track record delivering process automation, system integrations, or AI/machine learning pilots into production.
• Strong technical aptitude with experience defining requirements for integrations, data models and dashboards (experience with APIs, ETL or BI tools is a plus).
• Excellent communicator and presenter — able to synthesize complex concepts for executives and build buy-in across distributed teams.
• Strong project and change management skills with experience building training and onboarding programs.
• Comfortable operating in a fast-paced environment — self-driven, curious, and able to balance big-picture strategy with tactical execution.
• Bachelor’s degree in Construction Management, Engineering, Business, or related field (or equivalent experience). PMP, Lean, or Agile certifications a plus.

OVERVIEW

The Senior Manager, Workplace Experience is responsible for designing, managing, and continuously improving Alo’s workplace environments and operational systems to support employee productivity, engagement, and business growth. This role combines workplace operations, and employee experience with a strong focus on scalable systems, process optimization, and operational excellence.

The Senior Manager will lead corporate workplace initiatives across Alo’s office portfolio, ensuring that facilities, services, and systems operate efficiently and seamlessly while aligning with Alo’s culture and growth strategy.

RESPONSIBILITIES  

Workplace Strategy & Operations

• Develop and execute a workplace experience strategy aligned with Alo’s full time work model and business growth
• Build and own scalable workplace operating systems, workflows, and tools to replace manual processes
• Partner cross-functionally with People, Finance, IT, Legal, and Security to ensure alignment and operational consistency
• Track and report on workplace performance metrics
• Manage vendor relationships including security, cleaning, food service, maintenance, and other workplace services
• Lead space planning, office openings, renovations, and relocations
• Ensure compliance with all health, safety, environmental, and building regulations
• Develop and manage workplace budgets, forecasts, and cost controls

Operational Excellence & Risk Management 

• Design and implement governance, controls, and automation to prevent operational inefficiencies, financial projection, and compliance assessment
• Lead complex workplace initiatives and transitions with minimal disruption to employees and business operations
• Continuously evaluate and improve processes to support speed, scalability, and reliability

Automation & Systems Enablement

• Leverage automation and integrated tools to streamline workplace operations and employee requests
• Implement self-service solutions that reduce administrative burden and improve turnaround times
• Partner with IT and other stakeholders to enhance system integrations and data accuracy

Team Leadership

• Lead, coach, and develop workplace team members
• Establish clear roles, responsibilities, and performance expectations
• Foster a service-oriented, employee-first mindset across the workplace team

QUALIFICATIONS

• 8+ years of experience in workplace experience, facilities management, workplace operations, or corporate real estate
• 3–5+ years of people leadership experience
• Proven experience managing multi-site office portfolios and vendor relationships
• Strong operational and process-driven mindset with experience building scalable systems
• Experience managing budgets, forecasts, and cost controls
• Excellent project management, communication, and organizational skills
• Strategic and analytical thinker
• Detail-oriented with strong execution capabilities
• Ability to manage complex initiatives with minimal disruption
• Employee-centric, service-oriented approach
• Strong problem-solving and decision-making skills
• Adaptable and effective in a fast-paced environment

Preferred

• Experience supporting high-growth or multi-entity organizations
• Familiarity with automation tools, workflow systems, and integrated workplace platforms
• Strong cross-functional partnership experience with People, Finance, IT, and Legal teams

The base salary range for this position is $130,000-$160,000 per year which represents the current range for the base salary for this exempt position. Please note that actual salaries will vary based on factors including but not limited to location, experience, and performance. As such, on occasion and when applicable, there is the possibility that the final, agreed-upon base salary may be outside of the upper end of the range. Please also note the range listed is just one component of the company’s total rewards package for exempt employees. Other rewards may include performance bonuses, long term incentives, a PTO policy, and many other progressive benefits.

OVERVIEW

As ALO expands globally, we’re focused on creating best-in-class, elevated customer experiences that are both locally relevant and aligned with our global brand standards. The Director of International Customer Service will be responsible for ensuring that our global digital and customer support strategies are translated seamlessly across regions to best meet the needs of our customers.

This leader will build and execute ALO’s international customer service roadmap, defining how we launch and scale support across markets, languages, and time zones. This role will have a direct line of sight over our training and quality function, setting new benchmarks for success as we scale to new markets. They’ll partner cross-functionally with external vendors and internal teams, such as Digital, Technology, Operations, and Retail, to deliver an excellent ALO experience—wherever our customers are. This role will act as an advocate for our international customers’ experience, championing experience improvements and keeping our new and/or growing markets’ customer experiences top of mind within the organization.

We are an agile, highly collaborative team that celebrates an owner mindset and entrepreneurial spirit. As a leader in this space, you thrive in a fast-paced, ever-changing environment and are comfortable taking risks, learning by doing, and pushing for continuous improvement. 

RESPONSIBILITIES  

• In partnership with Digital and International leaders, develop ALO’s international customer experience strategy, defining service standards and localization frameworks for key markets.
• Lead international expansion initiatives—establishing languages, channels, hours, and workflows that align with local customer expectations and regulations.
• Partner with CS and Retail leaders to ensure scalable alignment of experience and operations globally.
• Partner with Legal and Compliance to ensure service and communication practices meet regional standards (GDPR, support policies, etc.)
• Oversee CS Training team to ensure our tone, language, and procedures embody the ALO experience in every region.
• Partner with Technology and Operations teams to optimize systems, automations, and tools for global efficiency.
• Evaluate and implement new support channels (i.e. Whatsapp, Kakao, etc.) and self-service tools relevant to each region.
• Identify best external partners (BPOs, Contact Centers) to support new language expansion, establishing key performance metrics to drive performance.
• Represent the “voice of the international customer” in leadership discussions, influencing decisions across CX, Product, and Operations.

QUALIFICATIONS

• 8-10+ years of experience within customer-facing industries with direct experience launching digital global customer support programs and new markets.
• 5+ years of leadership experience
• Deep knowledge and curiosity about customer experience and service design, specifically as it relates to channel localization and emerging trends/innovation (such as AI and automation)
• Highly collaborative leader who inspires alignment across cross-functional teams
• Strategic thinker with the ability to scale complex programs and deliver fast results in fast-growing environments
• Data-driven; eager to turn customer insights into action
• Familiar with CRM systems (i.e. Zendesk, Salesforce, Gladly); experience in luxury and/or lifestyle brands preferred
• Bonus: background in launching support operations in Asia and/or Europe

The base salary range for this position is $1500,00-$200,000 per year which represents the current range for the base salary for this exempt position. Please note that actual salaries will vary based on factors including but not limited to location, experience, and performance. As such, on occasion and when applicable, there is the possibility that the final, agreed-upon base salary may be outside of the upper end of the range. Please also note the range listed is just one component of the company’s total rewards package for exempt employees. Other rewards may include performance bonuses, long term incentives, a PTO policy, and many other progressive benefits.

OVERVIEW

There couldn't be a better time to join Alo's Retail Operations team. As we continue the rapid global expansion, the WFM team sits at the center of our growth, enabling scalable store operations, labor efficiency, compliance, and a consistent, elevated customer experience across every region we operate in.

The Director, Retail WFM is an enterprise leader responsible for defining, scaling, and executing Alo’s global WFM strategy. This role owns our activity-based labor operating model, labor planning framework and governance, staffing and scheduling standards, and labor performance analytics globally.

WFM Strategy

• Own and evolve our WFM strategy, aligning labor planning and allocation to business strategy and labor driver demand.
• Establish global WFM framework and scheduling standards to ensure scalability, consistency, and peak period readiness across a growing store fleet.
• Manage WFM planning cadence, decision forums, and global governance model.

Labor Planning & Forecasting

• Develop ALO’s annual bottoms-up labor budget, partnering with Operations and Finance to align labor investment with business plans.
• Track and measure labor performance, identify risks and opportunities, and proactively partner with functional teams to drive labor productivity and cost performance.
• Own WFM KPIs including labor rate, labor productivity, forecast accuracy, schedule effectiveness, and compliance and drive continuous improvement through field and cross-functional partnerships.
• Select and tune forecasting approach across the annual calendar, peak periods, grand openings, and market-specific events; implement overrides to manage bias from one-time or non-recurring factors.
• Partner with Technology, Data, and Analytics teams to evolve forecasting models, enhance reporting, and increase automation and self-service insight for field leaders.
• Develop scheduling playbooks, field guidance, and best practices to drive consistent execution of labor standards; lead pilots tied to new labor models, service expansion, and productivity improvement.
• Translate complex WFM data and trends to clear and compelling labor insights for field and executive leadership.

Technology and Scheduling, and Labor Model Architecture

• Implement and govern labor models, scheduling rules, and compliance configurations within WFM systems; drive continuous improvement as store operations, labor laws, and business needs evolve.
• Lead downstream labor testing and validation when POS, timekeeping, payroll, or sales-attribution systems change, ensuring schedule accuracy, labor integrity, and payroll outcomes are protected.
• Ensure ongoing compliance with labor laws, predictive scheduling ordinances, working-time regulations, and company policies across all markets; partner with HR and Legal to operationalize an enforceable compliance strategy.
• Lead WFM implementation activities for new market launches, accounting for operational differences, local labor law requirements, and new store formats.
• Own and manage relationship and business operations with scheduling platform providers.

People Leadership & Talent Development

• Lead, coach, and develop the Workforce Management team responsible for both day-to-day labor execution and strategic initiatives.
• Establish clear expectations, succession plans, and development pathways to build long-term functional capability across a globally distributed team.
• Foster a culture of accountability, innovation, data-driven decision-making, and continuous learning within the WFM organization.

Qualifications

• 10+ years of progressive workforce management, labor planning, operations analytics, or related experience within a large, complex, multi-unit retail organization.
• 5+ years of people leadership experience, including leading leaders (managers of managers), with a proven ability to scale high-performing teams.
• Proven success leading enterprise or multi-region workforce strategies supporting thousands of employees across multiple countries.
• Demonstrated experience supporting international retail operations, market expansions, new country launches, or complex integrations.
• Deep expertise in workforce planning, forecasting, scheduling, and labor optimization methodologies.
• Experience implementing or transforming workforce management platforms (e.g., Legion, UKG, Kronos, or similar) through full lifecycle including requirements, design, build, pilot, and global rollout.
• Strong understanding of labor laws, predictive scheduling ordinances, and compliance requirements across multiple geographies.
• Demonstrated ability to manage large labor budgets and influence P&L outcomes at scale.
• Advanced analytical skills with the ability to translate data into executive-level insights and recommendations.
• Exceptional ability to influence, lead change, and partner cross-functionally at the executive level in a fast-paced, growth-oriented environment.
• Willingness to travel domestically and internationally as business needs require.
• Experience with Legion strongly preferred.
• Background in premium, omnichannel, or globally expanding apparel, lifestyle, or specialty retail.

The base salary range for this position is $165,000-$200,000 per year which represents the current range for the base salary for this exempt position. Please note that actual salaries will vary based on factors including but not limited to location, experience, and performance. As such, on occasion and when applicable, there is the possibility that the final, agreed-upon base salary may be outside of the upper end of the range. Please also note the range listed is just one component of the company’s total rewards package for exempt employees. Other rewards may include performance bonuses, long term incentives, a PTO policy, and many other progressive benefits.

Overview:
We are looking for a strategic and results-oriented Director of FP&A – Digital & Technology to lead financial planning and decision support across our high-growth digital business and core technology investments. This individual will partner closely with senior leaders across Digital Marketing, Product, IT, and Digital Operations to drive clarity, rigor, and impact across digital channels and tech initiatives. This is a unique opportunity to impact the future of a rapidly growing brand that’s redefining wellness. As Director, you’ll be at the heart of our financial strategy — driving focus and execution at scale while translating financial insights into actionable business strategies.

Key Responsibilities:

• Lead all financial planning, budgeting, and forecasting activities for Alo’s digital channels and enterprise technology functions.
• Serve as the lead finance business partner to Digital Marketing, Product, Technology, Web Merchandising, CRM, and Digital Operations teams—guiding strategic investment decisions to drive growth and optimize bottom line
• Own consolidated digital P&L, including tracking of tech-related capex and opex
• Partner with CRM team to evaluate the financial impact of lifecycle marketing initiatives and conversion-driving campaigns
• Collaborate with Web Merchandising on product mix optimization and site strategy
• Develop investment frameworks and scenario models for acquisition spend, website performance, infrastructure scaling, and technology initiatives
• Build and lead a high-performing team, fostering a collaborative and high-accountability environment
• Prepare management materials and lead monthly reporting for digital and technology
• Drive automation and systematization of reporting tools, partnering with Accounting, Data, and BI to ensure consistency and accuracy

Qualifications:

• Bachelor’s degree in Finance, Economics, Accounting, or related field; MBA or CPA preferred
• 10-15 years of progressive experience in FP&A, including 3+ years supporting digital and/or technology functions in a CPG, retail, or DTC environment
• Strong grasp of digital KPIs (CAC, LTV, AOV, ROAS, conversion rate) and understanding of technology cost structure (capitalized development)
• Experience partnering with CRM, merchandising, and operations teams to evaluate and influence performance
• Proven ability to lead teams and influence cross-functional stakeholders at all levels
• High proficiency in Excel and financial modeling; familiarity with ERP system (SAS, NetSuite, etc.)
• Passion for innovation, performance, and scaling best-in-class consumer experiences

Compensation:

The base salary range for this position is $175,000-$225,000 per year.  Actual salaries will vary based on factors such as location, experience, and performance.  Other rewards may include performance bonuses, long-term incentives, a PTO policy, and a variety of progressive benefits.

#LI-onsite 

OVERVIEW

The Company Planner plays a critical role in translating enterprise strategy into operational execution across Retail, eCommerce, and Franchise channels. Reporting to the Director of Company Planning, this role owns consolidated reporting, supports company-wide forecasting processes, and drives operational planning alignment across functions. 

This role is highly cross-functional and execution-focused—ensuring financial plans are clearly communicated, accurately reflected in systems, and operationalized across retail stores, inventory flows, and digital channels. 

The ideal candidate brings strong retail acumen, financial rigor, systems expertise, and a process-oriented mindset.  

RESPONSIBILITIES 

Company-Level Reporting & Business Reviews 

• Own weekly, monthly, and quarterly reporting for total company performance across Retail, eCommerce, and Franchise.
• Consolidate category and channel plans into a cohesive company forecast.
• Support Monthly Business Reviews (MBR) and Quarterly Business Reviews (QBR) with variance analysis, risk identification, and actionable insights.
• Track and report on key KPIs including sales, comp performance, gross margin, inventory turn, sell-through, weeks of supply, and GMROI.
• Deliver clear executive-ready dashboards and reporting tools in partnership with the Director. 

Retail & Channel Operations Planning 

• Translate top-down financial targets into actionable channel-level operational plans.
• Partner with Merchandise Planning, Buying, and Merchandising to ensure alignment between financial plans and assortment strategies.
• Align with Supply Chain and Allocation to ensure inventory flow supports store performance and company targets.
• Identify operational risks (overstock, understock, margin pressure) and recommend corrective action. 

Forecasting & OTB Support 

• Support the Director in building and maintaining annual, seasonal, and monthly reforecasts.
• Consolidate Open-to-Buy (OTB) plans across categories to ensure alignment with enterprise financial targets.
• Maintain forecast models that connect sales, margin, and inventory dynamics.
• Execute scenario modeling and sensitivity analysis to support decision-making. 

Systems & Process Support 

• Serve as a key user and process owner for planning systems (e.g., Anaplan, SAP, JDA, or similar).
• Maintain integrity of planning data, hierarchies, and reporting structures.
• Support enhancements to dashboards, reporting automation, and forecasting tools.
• Document and improve planning workflows to increase efficiency and visibility.
• Partner with Finance and IT to drive system improvements and cross-functional data alignment. 

Cross-Functional Execution & Alignment 

• Act as the operational bridge between Planning, Buying, Merchandising, Finance, Supply Chain, and Operations.
• Ensure bottom-up plans align with top-down financial objectives set by leadership.
• Drive consistency in reporting cadence and planning timelines across departments. 

QUALIFICATIONS

• Bachelor’s degree in Finance, Business, Economics, or related field.
• 4–7+ years of experience in retail planning, FP&A, company planning, or multi-channel operations.
• Strong understanding of retail KPIs, store economics, and inventory productivity.
• Advanced Excel and financial modeling skills.
• Experience working with planning and ERP systems (Anaplan, SAP, JDA, Oracle, etc.).
• Strong organizational skills and attention to detail.
• Ability to manage multiple reporting cycles and deadlines in a fast-paced retail environment. 
• Exposure to FP&A, corporate strategy, or management consulting.
• Background in global portfolio management or multi-channel retail businesses.
• Experience supporting international expansion or global markets.
• Background in apparel, footwear, or accessories. 

The base salary range for this position is $90,000-$110,000 per year which represents the current range for the base salary for this exempt position. Please note that actual salaries will vary based on factors including but not limited to location, experience, and performance. As such, on occasion and when applicable, there is the possibility that the final, agreed-upon base salary may be outside of the upper end of the range. Please also note the range listed is just one component of the company’s total rewards package for exempt employees. Other rewards may include performance bonuses, long term incentives, a PTO policy, and many other progressive benefits.

OVERVIEW

We are seeking a Business Systems Analyst with deep expertise in ERP systems supporting Accounting and Finance. In this role, you will partner with Finance, Accounting, and Technology teams to design, implement, and optimize business systems that enable operational efficiency and scalable growth. The ideal candidate combines strong technical knowledge with a clear understanding of accounting/finance processes and thrives on bridging business needs with system capabilities. This position will report to the Director of Business Analysis, work alongside the group’s other Business Analysts, and coordinate with the Business Systems, IT Operations, and Business Intelligence groups. Interaction and coordination with other departments will be frequent as we align evolving business capability needs with robust, stable technical systems and their corresponding business processes.

RESPONSIBILITIES  

• Implement, configure, and maintain ERP and related systems supporting Accounting and Finance functions.
• Partner with Finance and Accounting leaders to understand evolving needs, translate requirements into system solutions, and ensure alignment with best practices and compliance requirements.
• Utilize Business Intelligence tools to deliver insights, ensure data integrity, and support process optimization and business growth.
• Lead IT aspects of application enhancements, including requirements gathering, solution design, testing, deployment, training, and post-go-live support.
• Identify, troubleshoot, and resolve system issues; test fixes and enhancements to ensure reliability and accuracy.
• Build strong relationships with Finance leadership and end users to provide proactive recommendations and identify opportunities for automation or improved system utilization.
• Conduct recurring operational reviews to assess system performance, prioritize enhancements, and deliver ongoing improvements.

QUALIFICATIONS

• Minimum of 3 years of experience in Business Analysis, Systems Administration, or Finance Application Support.
• Proven experience in implementing and supporting ERP or financial systems (e.g., NetSuite, Oracle, SAP, Workday Financials, Microsoft Dynamics).
• Strong understanding of Accounting and Finance principles (e.g., GL, AP, AR, Fixed Assets, Revenue Recognition).
• Familiarity with system integrations, APIs, and data flows between Finance and other enterprise systems.
• Self-motivated with excellent organizational skills and the ability to manage multiple priorities.
• Strong technical aptitude with outstanding written and verbal communication skills.
• Experience with SOX/internal controls or compliance-related system requirements is a plus.
• Knowledge of automation tools (e.g., RPA, workflow engines) or process improvement methodologies (Lean, Six Sigma) is a plus.
• This position requires you to be in office out of our corporate headquarters in Los Angeles 

The base salary range for this position is $115,000-$130,000 per year which represents the current range for the base salary for this exempt position. Please note that actual salaries will vary based on factors including but not limited to location, experience, and performance. As such, on occasion and when applicable, there is the possibility that the final, agreed-upon base salary may be outside of the upper end of the range. Please also note the range listed is just one component of the company’s total rewards package for exempt employees. Other rewards may include performance bonuses, long term incentives, a PTO policy, and many other progressive benefits.

OVERVIEW

We’re hiring a hands-on intern to support day-to-day technical operations across Help Desk, Retail Operations, Client Engineering, and IT Operations. This role rotates across teams and gives real, practical exposure to device lifecycle, store systems, MDM and packaging, ticket triage, retail hardware and inventory workflows, and operational runbooks. This is a great opportunity for a technically curious student or early-career professional who wants a broad foundation in both retail operations and corporate enterprise IT.

The ALO internship programs starts June 8th and ends July 31st. Interns will be working 40 hours a week at our Beverly Hills HQ.

RESPONSIBILITIES 

Help Desk

• Triage incoming tickets and incidents (password resets, account access, basic troubleshooting), escalate correctly, and document resolutions in the ticketing system
• Provide in-person and remote support for Windows, macOS, iOS and Android devices used by store and corporate teams
• Image, provision and recover devices; maintain asset tags and asset inventory records
• Contribute to the knowledge base: write clear step-by-step articles for common fixes and onboarding checklists

Retail Operations

• Support store teams with hardware and software used in retail (POS terminals, tablets, kiosks, scanners) and help diagnose on-floor issues
• Assist with inventory-related systems/processes and physical inventory tasks that intersect with technology (barcode scanners, mobile inventory devices)
• Participate in store rollout/refresh activities and field verification of system changes
• Support operational playbooks and store onboarding checklists as required

Client Engineering

• Assist Client Engineering with device provisioning and application packaging for MDM tools and enterprise self-service portals. Contribute to packaging, testing and publishing applications to the company self-service catalog
• Support small deployments (app installs, configuration profiles), verify deployments on devices, and collect telemetry/feedback for engineering

IT Operations

• Shadow IT Operations engineers on patching, monitoring, and routine maintenance tasks. Support automation and runbook updates
• Assist with vendor coordination and billing, asset lifecycle tasks (receiving, image, staging, decommission), and system documentation
• Help run basic system health checks, report anomalies, and take part in post-incident documentation

The base pay range for this position is $45/hr-$50/hr which represents the current range for the non-exempt position. Please note that actual pay will vary based on factors including but not limited to location, experience, and performance. 

OVERVIEW

The Inventory Data Analyst plays a crucial role in supporting initiatives aimed at continuous improvement in planning and inventory management.This role requires a good understanding of retail and retail math, some merchandise planning or allocation experience is required.This person will collaborate with cross-functional teams to automate existing Excel reports and working with their manager to identify additional opportunities for automation or process improvements.

RESPONSIBILITIES  

• Partner with Planning & Allocation, Buying, Finance, and Data Engineering teams to align analytics with business priorities.
• Build and maintain dashboards, automated reporting, and analytics solutions to democratize data across the organization.
• Translate complex datasets into actionable insights across sales, inventory and margin that drive growth, improve forecast accuracy, and enhance operational efficiency.
• Apply predictive modeling and statistical analysis to improve demand planning and inventory allocation decisions.
• Ensure data accuracy and consistency across systems through validation and quality checks.
• Establish and uphold best practices in analytics, reporting, and dashboard development, including maintainability and scalability standards.
• Communicate findings and recommendations to business stakeholders and senior leadership in a clear, impactful manner.

QUALIFICATIONS

• 2–4 years of experience in data analytics, preferably in high-growth e-commerce or digitally enabled retail environments, with proven ability to translate insights into business strategy.
• Bachelor’s degree in a quantitative field (Economics, Finance, Mathematics, Statistics, Engineering, etc.).
• Strong SQL skills with experience writing advanced queries (joins, aggregations, CTEs, conditional filters) in analytical data warehouses.
• Proficiency in Python or R for statistical analysis, data modeling, and automation.
• Experience with BI tools such as Tableau or ThoughtSpot; capable of building intuitive, scalable dashboards from scratch.
• Skilled in working with diverse, complex data sources (e.g., Amazon Redshift, Cyberquery, Anaplan, FDM4, Shopify).
• Excellent communication, prioritization, and problem-solving skills; able to thrive in ambiguous, fast-paced environments.

The base salary range for this position is $100,000-$115,000 per year which represents the current range for the base salary for this exempt position. Please note that actual salaries will vary based on factors including but not limited to location, experience, and performance. As such, on occasion and when applicable, there is the possibility that the final, agreed-upon base salary may be outside of the upper end of the range. Please also note the range listed is just one component of the company’s total rewards package for exempt employees. Other rewards may include performance bonuses, long term incentives, a PTO policy, and many other progressive benefits.

OVERVIEW

Join ALO’s Artificial Intelligence and Data Science team to explore the frontiers of applied AI in wellness, fashion, and retail. You’ll build intelligent systems that power personalization, content generation, computer vision, and decision automation.

We’re looking for a hands-on AI Engineer who loves to build. You’ll design and deploy bespoke, high-impact AI solutions that stretch across product design, marketing, supply chain, customer experience, and engineering. Some projects will be fast-turnaround proofs of concept; others will grow into scalable internal platforms. You’ll balance the art of creative experimentation with the discipline of technical rigor—knowing when to build from scratch and when to leverage what already exists.

RESPONSIBILITIES

• Build bespoke AI solutions to accelerate business outcomes—anything from product image generation to conversational assistants or process automation.

• Prototype rapidly using APIs, open models, and cloud-native services to validate ideas and demonstrate value.

• Design for scale—transition ad hoc experiments into maintainable, production-grade systems or reusable components.

• Evaluate external AI platforms and tools for integration potential, cost, and business fit.

• Collaborate cross-functionally with marketing, design, supply chain, retail operations, and engineering teams to translate real problems into AI-enabled solutions.

• Implement responsible AI practices that ensure transparency, fairness, and explainability across applications.

• Mentor and coach peers in practical AI adoption and experimentation.

QUALIFICATIONS

• 10+ years of experience in a data or software engineering field.

• MS or PhD in Artificial Intelligence, Machine Learning, or Data Science.

• Equal parts builder, hacker, and architect—you can ship a working demo in a day but think in systems that can scale for years.

• Comfortable working without a map—you thrive in ambiguity and see constraints as creative opportunities.

• Skilled in Python, SQL, and cloud AI platforms (AWS, GCP, Azure) and fluent in modern AI frameworks (LangChain, Hugging Face, OpenAI, etc.).

• Strong grasp of ML fundamentals (classification, NLP, computer vision, embeddings) and practical data engineering.

• Experience in integrating AI into business workflows—e.g., automating content generation, demand forecasting, or intelligent search.

• Naturally curious about the intersection of human creativity and artificial intelligence, and driven by impact, not novelty.

• Experience in implementing / developing model evaluation frameworks.

Why ALO 

Join a team shaping the intersection of wellness, fashion, and technology. At ALO, data isn’t just numbers—it’s the heartbeat behind immersive experiences, purposeful products, and global community connection.

The base salary range for this position is $180,000-$235,000 per year which represents the current range for the base salary for this exempt position. Please note that actual salaries will vary based on factors including but not limited to location, experience, and performance. As such, on occasion and when applicable, there is the possibility that the final, agreed-upon base salary may be outside of the upper end of the range. Please also note the range listed is just one component of the company’s total rewards package for exempt employees. Other rewards may include performance bonuses, long term incentives, a PTO policy, and many other progressive benefits.

#LIHWL4

Why Join Alo?

Mindful movement. It’s at the core of why we do what we do at ALO—it’s our calling. Because mindful movement in the studio leads to better living. It changes who yogis are off the mat, making their lives and their communities better. That’s the real meaning of studio-to-street: taking the consciousness from practice on the mat and putting it into practice in life.

Overview

We seek a highly skilled and motivated Senior Network Engineer to join our dynamic IT team. As a Senior Network Engineer, you will be responsible for designing, implementing, and managing our network infrastructure while ensuring the highest security, reliability, and performance levels. The ideal candidate should possess a strong background in layer 2 and 3 network design and protocols, with experience in NGFW management, SDWAN technologies, and cloud networking. Additionally, this role is essential for automation scripting expertise and the ability to work flexible hours, including rotational shifts and occasional change windows. 

Senior Network Engineer Skills and Experience Required

• Layer 2 and 3 network design and protocols (OSPF, BGP, MPLS) 
• Extensive Experience with Cisco and Meraki Networking Hardware. (Switches, Access Points, Firewalls, Gateways, IOSXe)  
• Experience with change control and incident management processes
• Experience with NGFW Design, Management, Configuration, Segmentation and Hardening. (Foritnet, PAN) 
• Experience with SDWAN Technologies (Fortinet) 
• Network infrastructure services (DNS, DHCP)  
• User and site-to-site VPN (IPsec, SSL)
• Networking of Azure Cloud and AWS Cloud Environments
• Automation Scripting Experience (Teraform, Chef, Python)
• Wireless networking design and protocols 
• Experience with NAC Technologies (Clearpass, Cisco ISE) 
• Work rotational shifts and occasional change windows during evenings and weekends

Day to Day Responsibilities

• Hardware preventive maintenance (fixes).
• Ensure all trouble tickets are detailed and completed accurately. 
• Investigates and presents creative and cost-effective solutions for networking to Retail stores, corporate systems, and other global locations 
• Provides support for Corporate and store networking projects. 
• Consult with Retail Operation users concerning networking designs, connectivity, and support issues. 
• Assist in or resolve (escalated) technical incidents. 
• Establish and maintain effective communications and relationships with other IT teams and business units. 
• Stay informed of current technologies in order to support the business. 
• Develop, improve, and enforce disciplines, policies, procedures, and practices aimed at ensuring system availability, efficient & responsive service delivery, cost effectiveness, technology value and overall client satisfaction. 

Technology Responsibilities: 

• Next-Generation Firewall (NGFW) Management: Configure, monitor, and maintain NGFW systems (Fortinet, PAN) to enhance network security and prevent potential threats. 
• SDWAN Technologies: Implement and optimize SDWAN technologies to improve network performance and reduce operational costs. 
• Network Infrastructure Services: Deploy and manage network infrastructure services, including DNS and DHCP, to ensure seamless connectivity for users and devices. 
• VPN (Virtual Private Network) Solutions: Configure and manage user and site-to-site VPNs using IPsec and SSL for secure remote communication. 
• Cloud Networking: Integrate and manage networking in a multi-cloud environment, facilitating efficient cloud-based services. 
• Automation Scripting: Develop automation scripts using Terraform, Ansible, Chef, and Python to streamline network provisioning and enhance operational efficiency. 
• Wireless Networking: Design and implement wireless networking solutions, ensuring reliable and high-speed connectivity for end-users. 
• Network Design and Protocols: 
• Design and implement robust layer 2 and layer 3 network configurations, including OSPF, BGP, and MPLS routing protocols. 

• Optimize network performance and scalability to support the organization's evolving needs. 
• Change Control and Incident Management: 
• Lead change control processes to ensure smooth, seamless network operations with minimal service disruptions. 
• Manage and resolve network-related incidents promptly and efficiently. 
• Troubleshooting and Solutions Development: Investigate network-related issues and propose creative and cost-effective solutions for Retail stores, corporate systems, and other global locations. 
• Project Support: Provide technical support for Corporate and store networking projects, ensuring successful project implementation. 
• Effective Communication and Collaboration: Establish and maintain strong communications and relationships with other IT teams and business units. 
• Continuous Learning: Stay informed about current technologies and industry trends to provide up-to-date support and solutions. 
• Process Improvement: Develop, improve, and enforce disciplines, policies, procedures, and practices to ensure system availability, efficient & responsive service delivery, cost-effectiveness, technology value, and overall client satisfaction. 

Qualifications: 

• Bachelor's degree in Computer Science, Network Engineering, or a related field. Equivalent experience is also acceptable.  
• Experience in network engineering roles focusing on layer 2 and 3 network design and protocols. 
• Strong knowledge of NGFW management and configuration and SDWAN technologies. 
• Proficiency in network infrastructure services, user and site-to-site VPNs, and cloud networking, 
• Experience with automation scripting using Terraform, Chef, and Python. 
• Familiarity with wireless networking design and protocols. 
• Demonstrated ability to work rotational shifts and occasionally change windows during evenings and weekends. 
• Excellent problem-solving and troubleshooting skills.
• Effective communication and collaboration abilities.
• Relevant certifications (e.g., CCIE, CCNP, Fortinet NSE, AWS Certified Solutions Architect) will be advantageous. 

The base salary range for this position is $130,000-$180,000 per year which represents the current range for the base salary for this exempt position. Please note that actual salaries will vary based on factors including but not limited to location, experience, and performance. As such, on occasion and when applicable, there is the possibility that the final, agreed-upon base salary may be outside of the upper end of the range. Please also note the range listed is just one component of the company’s total rewards package for exempt employees. Other rewards may include performance bonuses, long term incentives, a PTO policy, and many other progressive benefits

OVERVIEW

We are seeking a motivated and technically strong Computer Science Intern – Product Information Management (PIM) to join our Biz Tech Operations team. This internship offers a unique opportunity to design and build a foundational Product Information Management (PIM) capability that will serve as a single, trusted source of product data across ALO’s technology ecosystem. 

Today, product information is distributed across multiple systems—including NGC PLM, FDM4 ERP, FDM4 WMS, Shopify, and spreadsheets—resulting in duplicated integrations, inconsistent data, and manual workarounds. As an intern, you will help design and implement a centralized PIM solution built on ALO’s data lake (Amazon Redshift) and supporting data pipelines, enabling all downstream systems, services, and teams to reliably source product data from a single platform. 

This work will create a scalable foundation that can be expanded over time with additional product attributes, governance, and automation to support ALO’s continued growth and tech environment expansion.

The ALO internship programs starts June 8th and ends July 31st. Interns will be working 40 hours a week at our Beverly Hills HQ.

RESPONSIBILITIES  

• Partner with Tech, Business, and downstream application teams to help define the vision, scope, and requirements for a centralized Product Information Management (PIM) solution
• Design and implement a foundational PIM data model that consolidates product data from multiple enterprise systems, including: 
  • PLM 
  • ERP
  • WMS
  • Shopify
  • Existing datasets in Amazon Redshift
• Build and enhance data pipelines into the data lake (Redshift) to ensure required product attributes are available, current, and reliable
• Develop SQL-based transformations and views that create canonical product records suitable for consumption by multiple systems and microservices
• Assist in defining data ownership, source-of-truth rules, and attribute-level lineage (e.g., which system owns which product attributes)
• Collaborate with Business Analysts and stakeholders to document product data requirements and translate business needs into technical solutions
• Create and maintain technical documentation, including: 
  • Product data models 
  • Source-to-target mappings 
  • Data flow diagrams 
  • Attribute definitions and dependencies 
• Support downstream consumption of PIM data by helping define access patterns (e.g., database views, exports, APIs, or service interfaces)
• Validate data quality and consistency across systems, identifying gaps, conflicts, and opportunities for standardization
• Learn and apply best practices for data modeling, data engineering, and platform design in a real-world enterprise environment

QUALIFICATIONS

• Currently pursuing a degree in Computer Science, Data Science, Information Systems, or a related technical field
• Strong working knowledge of SQL and relational databases
• Understanding of data modeling concepts, including entities, attributes, relationships, and normalization
• Experience with or exposure to ETL / ELT pipelines and data integration concepts
• Familiarity with one or more programming or scripting languages such as Python, Java, or C# is a plus
• Interest in enterprise systems, data platforms, and foundational architecture
• Strong problem-solving skills and comfort working with ambiguous and evolving requirements
• Ability to communicate technical concepts clearly to both technical and non-technical stakeholders 
• A strong desire to build systems that will be used and extended by others over time

NICE TO HAVE

• Exposure to Product Information Management (PIM), Master Data Management (MDM), or data governance concepts
• Familiarity with cloud data platforms (AWS, Azure)
• Experience integrating data from SaaS platforms (e.g., Shopify or PLM systems)
• Coursework or projects involving data architecture or enterprise systems

The base pay range for this position is $45/hr-$50/hr which represents the current range for the non-exempt position. Please note that actual pay will vary based on factors including but not limited to location, experience, and performance.

ABOUT THE ROLE

Anduril’s Space Manufacturing team is seeking a Senior Manufacturing Engineer to join our team. The Space Manufacturing team is responsible for assembly, integration, and test of ground support equipment, PCBA, unit-level, and integrated systems that are vital for our aerospace and defense operations. Your expertise will help ensure that our products meet the highest standards of quality and reliability at Anduril.

As a Senior Manufacturing Engineer on our Space team, you will be a technical leader responsible for owning the manufacturing strategy and execution for complex spacecraft hardware. Your responsibilities the entire manufacturing value-chain, including Design for Manufacturability, advanced manufacturing process development, tooling design & selection, supplier technical management, quality system implementation, and comprehensive work documentation. You will lead a cross-functional initiatives, mentor junior engineers, and drive manufacturing excellence across PCBA, box-level electronics, electro-optical instruments, and integrated spacecraft systems.

The ideal candidate demonstrates proven leadership in solving complex technical challenges with innovative, practical solutions in fast-paced, resource-constrained environments. You have successfully scaled manufacturing processes from prototype through production and have a track record of delivering high-reliability hardware on aggressive timelines.

WHAT YOU’LL DO

• Lead the development, documentation, and continuous improvement of manufacturing processes for PCBAs, box-level assemblies, electro-optical instruments, and integrated spacecraft systems, ensuring compliance with space-grade standards (IPC-610/620 Class 3, NASA-STD-8739 series)
• Drive Design for Manufacturability (DFM/DFA) initiatives from concept through production, partnering with design engineers to optimize producibility, yield, and cost while providing hands-on technical leadership to manufacturing technicians
• Own quality assurance for assigned manufacturing processes, lead root cause analyses (RCA) and corrective actions for non-conformances, and proactively mitigate risks through PFMEA, process validation, and quality planning
• Specify, qualify, and deploy advanced assembly tools, fixtures, test equipment, and automation solutions, including custom tooling design using CAD/3D modeling capabilities
• Implement and optimize Manufacturing Execution Systems (MES), ERP/MRP workflows, and digital manufacturing tools to enhance traceability, efficiency, and data-driven decision-making
• Establish and manage technical relationships with suppliers and contract manufacturers, conducting assessments, audits, and qualification activities while driving quality improvements and manufacturability enhancements
• Lead or participate in design reviews (PDR, CDR), manufacturing readiness reviews (MRR), and production readiness reviews (PRR) for flight hardware programs
• Collaborate across engineering disciplines (systems, electrical, mechanical, optical, test, quality) and communicate effectively with program management, supply chain, and executive leadership on manufacturing status, risks, and mitigation strategies
• Analyze production data and lead scaling efforts from low-rate to high-rate production, implementing continuous improvement programs (Lean, Six Sigma) to optimize throughput, reduce cycle times, and enhance product reliability while reducing costs
• Define manufacturing strategy for spacecraft product lines, mentor and develop junior engineers and technicians, and represent Manufacturing Engineering in cross-functional leadership forums and strategic planning session

REQUIRED QUALIFICATIONS 

• 8+ years of manufacturing engineering experience in aerospace, space systems, aviation, defense, or other high-reliability industries, with a proven track record leading complex manufacturing programs from development through production
• Bachelor's degree in Electrical Engineering, Mechanical Engineering, Manufacturing Engineering, Industrial Engineering, or related technical discipline required. Master's degree or equivalent advanced experience preferred
• Deep knowledge of aerospace and high-reliability electronics standards, including IPC-610/620 Class 3, IPC J-STD-001 Space Addendum, and NASA-STD-8739 series (soldering, wire harness, conformal coating)
• Expert-level understanding of PCBA manufacturing processes (SMT, through-hole, conformal coating, potting, component selection/screening) and strong technical knowledge of box-level assembly (cabling, harnessing, mechanical integration, thermal management, EMI/EMC)
• Hands-on experience implementing and optimizing Manufacturing Execution Systems (MES), ERP/MRP systems (SAP, Oracle, Odoo, Aligni), digital work instructions, and manufacturing process controls (SPC, Lean, Six Sigma)
• Demonstrated expertise in root cause analysis (8D, 5-Why, Fishbone, PFMEA), driving corrective/preventive actions (CAPA), and developing/executing process validation, first article inspection (FAI), and manufacturing qualification plans
• Ability to influence design for manufacturability and collaborate with electrical, mechanical, and systems design teams, with experience designing or specifying custom tooling, fixtures, and test equipment for complex assemblies
• Strong technical communication skills with ability to present to cross-functional teams and executive leadership, and proven ability to lead cross-functional initiatives across engineering, quality, supply chain, and operations
• Proven success in fast-paced, startup, or rapid development environments while maintaining meticulous attention to detail and quality, with a hands-on mindset and willingness to work directly on the manufacturing floor alongside technicians
• Must be eligible to obtain and maintain a U.S. Top Secret security clearance

PREFERRED QUALIFICATIONS 

• Direct experience manufacturing satellites, spacecraft, or space-based instruments (flight hardware), including spacecraft environmental testing (TVAC, vibration, shock, acoustics) and launch site integration support
• Familiarity with space-grade materials, processes, and workmanship standards such as NASA-STD-8739 series, ECSS standards, and IPC Space Addendum requirements
• Harness and cable assembly design capability, including schematic reading/drawing using tools like Altium, AutoCAD Electrical, or similar design software
• Experience with electro-optical or infrared sensor assembly, including optical alignment, cleaning protocols, contamination control, and cleanroom manufacturing practices
• Knowledge of advanced manufacturing technologies including selective soldering, automated optical inspection (AOI), X-ray inspection, conformal coating systems, and additive manufacturing (3D printing) for tooling or flight hardware
• Proven track record scaling production from prototype/LRIP to high-rate production (tens to hundreds of units), with experience implementing automation or semi-automation solutions for electronics assembly
• Lean Manufacturing or Six Sigma certification (Green Belt, Black Belt) with demonstrated project results and continuous improvement achievements
• Experience managing technical relationships with PCBA suppliers, cable/harness vendors, and contract manufacturers, including supplier audits, qualification activities, and AS9100
• Proficiency with CAD/3D modeling software (NX Design, SolidWorks, CREO, Fusion 360) and scripting tools (Python, MATLAB) for tooling design, DFM reviews, and data analysis
• Experience leading multi-disciplinary manufacturing programs with P&L or budget authority and recognized subject matter expertise in spacecraft manufacturing or high-reliability electronics
• Active Top Secret or TS/SCI clearance is a significant plus