Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

Risk Foundations is a small, high-leverage team with a mandate to maximize Stripe’s enterprise value by managing risk across the user lifecycle. Whether we’re evaluating net-new opportunity areas, investigating existential threats, or finding ways to unlock value in the existing business, we approach problems with rigor, nuance, and intellectual humility. If you are excited to shape the infrastructure that powers safe, sustainable growth for millions of businesses, we encourage you to apply!

What you’ll do

Stripe handles billions of dollars every year for businesses around the world, and the Risk team plays a critical role in the company’s financial and partnership success. As a Strategist on the Risk Foundations team, you will help manage a rapidly growing merchant portfolio by guiding Stripe’s credit strategy and devising growth-friendly solutions that reduce overall credit risk. This is a high impact role that involves cross-functional partnership with Data Science, Engineering, Product, and Operations.

Responsibilities

• Develop scalable methods to identify, measure, and control end-to-end risks (including Credit and Fraud) across the user lifecycle: this will involve identifying and shaping crucial risk management systems including in-product and back-end controls, use of external risk assessment tools, and implementation of rule-based and model-based detection systems
• Proactively identify risk management opportunities, outline the strategy and translate complex requirements into technical specifications, which may include shipping code to enable rapid iteration of risk strategy
• Work closely with Product, Engineering, and Data Science teams to shape new product offerings and develop data-driven, globally scalable systems and processes that combine strong risk management fundamentals with seamless user experiences.
• Become an expert on the global ecosystem of Stripe’s products, integrations, tools, and partner requirements, and how those elements interact with payment risks
• Develop strong internal relationships across partner teams (Data Science, Product, Engineering, Treasury, Sales, Operations, and Finance)
• Challenge the payments industry status quo to help enable innovative businesses to flourish online
  

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 5+ years of relevant experience with financial risk modeling
• A builder’s mindset with a willingness to question assumptions and conventional wisdom
• Analytical: You are well versed in data analysis, modeling, and can frame business decisions and tradeoffs effectively through quantitative analysis and visualization
• Collaborative: Ability to work effectively across teams, building strong working relationships in order to successfully execute on shared deliverables
• Decisive, yet open to learning: you will make many critical decisions every day impacting large numbers of merchants. You are willing to make these difficult decisions and quickly learn and iterate from these experiences.  
• Understanding and empathetic to the challenges of setting up a new business: You will thoughtfully balance scaled enforcement decisions with user experience.
• An enthusiastic “roll up your sleeves” mentality
• Experience with SQL required
• Bachelor’s degree in Economics, Statistics, Computer Science, Engineering or other quantitative or related field
  

Preferred qualifications

• Experience with Python
• Demonstrated experience working in fast paced highly ambiguous environments
• Familiarity with LLM agents and how they can augment risk management practices

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

AMER Demand Generation is a team of marketers and channel specialists that drives strategies to engage prospects and customers, generating demand for Stripe's prioritized solutions in the Americas. We partner closely with Global Campaigns, Partner Marketing, Product Marketing, Sales Development, and Sales to bring full-funnel campaigns to life and optimize performance and business impact.

We're seeking an experienced marketer to own the Velocity – mid-market and small businesses – segment across the US, Canada, and LATAM. This individual will design the strategy and drive strategy realization work to grow market share and drive pipeline in collaboration across the GTM organization. They will help Stripe mature its marketing approach to the Velocity audience and evolve our demand generation strategy for this high-growth segment.

What you’ll do

This business-critical role will have significant impact across Stripe's GTM organization. Stripe's Velocity segment is growing rapidly and represents a massive share of our Americas pipeline with a fundamentally unique go-to-market motion. This role will design the Velocity engine to reach the buying committee and create a consistent experience through different journeys, channels, and tactics to ensure an integrated, full-funnel experience. You'll define regional priorities, allocate budget across channels, and be the connective tissue between global campaign strategy and regional execution for this segment.

Responsibilities

• Land and tailor global campaigns to acquire and nurture Velocity prospects at scale through digital content, paid media, content syndication, digital events, targeted nurture programs, etc
• Build region-specific marketing activations with channel leads to unlock local opportunities for SMB and mid-market audiences
• Partner with regional performance media experts to acquire and re-engage AMER Velocity prospects and customers through a broad mix of paid media tactics
• Collaborate with partner marketing to build and scale the through-partner demand generation strategy for Velocity companies — a critical and growing channel for this segment
• Build a cross-GTM coalition including Global Marketing, Regional Sales, Sales Development, and Sales Operations to jointly grow the Velocity pipeline
• Own key business and revenue metrics for the Velocity segment across the sales funnel — investigating conversion, lead quality, channel mix effectiveness, and pipeline health
• Partner cross-functionally to define regional requirements as Stripe refines marketing capabilities, MarTech stack, and lead management for scaled motions
• Identify innovative new ways to reach and engage Velocity users — there is broad leeway in this role to pursue creative marketing ideas
• Be a thought leader representing the Americas as Stripe grows its Velocity go-to-market across campaigns and broader strategy

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 7+ years of experience running scaled digital demand generation programs (e.g., demand generation, growth marketing, or regional marketing) 
• Experience with GTM direct ownership of a velocity, SMB, or mid-market segment at a B2B company
• Demonstrated experience building multi-channel demand generation strategies and owning integrated digital activations across paid media, content marketing, email marketing, and events
• Demonstrated experience investigating business health and owning marketing performance metrics — able to craft actionable insights from GTM data on lead acquisition, funnel conversion, pipeline pacing, and channel effectiveness
• Strong organization and project management skills with the ability to manage multiple complex programs simultaneously
• Proven track record building and executing programs with cross-functional stakeholders including sales, sales development, partner marketing, and product marketing — expect to discuss programs where you were the directly responsible individual

Preferred qualifications

• Fluency with AI including leveraging native AI tooling and integrating LLM / agentic capabilities into everyday work
• Experience building integrated demand strategies that connect with partner marketing, through-partner channels, or ecosystem-led growth motions
• Experience marketing to SMB (sub-100 employee) and mid-market (100–1,000 employee) companies, including segmentation by industry or technical sophistication
• Experience in payments, financial technology, or infrastructure software
• Adjacent business experience (e.g., strategy consulting, sales, or sales development) that brings well-rounded GTM perspective

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

As Commercial Counsel primarily supporting Stripe’s Stablecoin & Crypto team, you will lead complex commercial and contractual negotiations, advise on product launches, and help scale Stripe’s legal and operational infrastructure. You will work closely with Sales, Product Legal, Partnerships, Risk, Tax, Operations, and external counsel to enable safe, compliant, and commercially sound growth of Stripe’s crypto, stablecoin, and wallet offerings.

We are committed to building an inclusive work environment where all Stripes feel welcomed as their authentic selves—inclusive of all genders, sexual orientations, ethnicities, races, education, ages, and other personal characteristics. We work on broadening our internal diversity because we want to be culturally equipped to build products and solutions for our diverse user base.

What you’ll do

Responsibilities

• Support the Sales team, with particular focus on Stripe’s Stablecoin & Crypto team, leading negotiations and advising on a wide range of commercial and legal issues
• Work closely with Product Legal to bring new products and features to market, including drafting service terms and providing contractual, commercial, and user-experience advice for launches
• Be an integral part of the build out of Stripe’s commercial legal infrastructure to enable scalable, efficient operations in line with Stripe’s growth. This includes advising on the contractual integration of services provided by Stripe’s cryptocurrency, stablecoin, and wallet infrastructure acquisitions (including Bridge and Privy), drafting and maintaining agreements and playbooks, and leading or contributing to projects that improve internal processes and operational efficiencies, including by leveraging AI tooling
• Partner with teams across Stripe, including Sales, Partnerships, Operations, Product, Tax, and Risk groups, to align legal solutions with business priorities
• Serve as a proactive and strategic business partner to senior managers and act as a trusted advisor on commercial strategy and risk
• Develop and deliver training, playbooks, and other resources to help the Sales team sell our products confidently and compliantly
• Act as a point of escalation for outside counsel and manage outside counsel relationships when matters require external expertise

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• Intellectually curious and a creative problem solver: you relish learning new products and finding creative solutions to complex and evolving legal and commercial problems
• Exceptional drafting skills, with experience in creating services terms or SaaS agreements in addition to deal negotiation drafting
• A self-starter with a bias for action: you are proactive and take ownership to move matters forward
• A clear and concise communicator (written and verbal): you can distill key risks and explain nuanced issues in plain, simple terms for commercial and technical stakeholders
• A natural collaborator: you can guide cross-functional teams toward practical, win-win outcomes
• Familiar with the legal issues and commercial risks arising in connection with hosted data and technology services
• Passionate about technology and able to understand complex business models and product use cases quickly
• A team player willing to do what it takes to contribute to collective success
• Qualified with good standing membership in at least one US state bar with a JD or foreign equivalent
• 6+ years of relevant experience in-house or in a technology practice group at a top law firm

Preferred qualifications

• Direct experience advising on, drafting service terms for, and negotiating transactions involving cryptocurrency, stablecoin, or traditional money-movement products, particularly on a global basis
• Experience in payments or fintech and familiarity with related regulatory frameworks
• Working knowledge of LLM tools and experience in improving legal processes with AI technology
• Prior in-house experience advising high-growth technology companies
• Working knowledge of data protection and privacy regimes such as CCPA, GDPR, and HIPAA

Love our Customers is our #1 Value at Okta.   The Okta Customer First Team lives and breathes this every day.  A critical element of Okta’s strategy is helping our customers accelerate their time to value and expand their relationship with Okta.  This is a key differentiator for Okta and we believe that all customers, large and small, deserve an exceptional experience and this assistance. When we do this well, our customers succeed and Okta succeeds by growing our renewal rates.   

The Success Insights Manager role is an exciting opportunity to help execute a scaled success strategy with the goal of providing exceptional data-driven content at scale that maximizes value for customers post-sale. You will execute digital success programs that involve designing and developing visually engaging and informative data-driven content tailored to our customers’ unique use cases but also scale effectively to meet the needs of our expanding customer base. This content will serve as powerful tools for our post-sales teams, including customer QBRs, automated delivery plans, and more, helping them demonstrate the value of Okta and drive product adoption among our largest customers. Your primary targets will include driving adoption and retention as well as the future growth of our Digital customer base while saving time for customer-facing teams, including those who manage our largest book of accounts. You will be deep in the data, monitoring and optimizing your programs along the way. 

You will partner with many cross-functional groups within Okta, including Product, Business Technology, Data, Marketing, Customer Success, Renewals, Sales, and outside vendors. Success in this role will require both a strong ability to understand the needs of large Enterprise customers and develop solutions that scale. You will obtain in-depth knowledge of Okta products, how they are adopted, and understand our customers and why they stay with Okta while leveraging underlying data to inform new programs and opportunities. You’ll also influence how we engage our customers in a human, meaningful, and value-driven manner. This is the chance to shape a highly visible area of the business that directly impacts our bottom line. 

Job Duties and Responsibilities: 

AI-Driven Automated & Insights Deck Creation:

• Automate the creation of presentation decks and other insights via a deck automation tool, prioritizing the use of AI prompting models to generate proactive and personalized customer narratives. 
• Drive the strategic shift from traditional rule-based logic to scalable, generative AI workflows for producing tailored content that maximizes customer value. 

Customer-Centric Approach:

• Collaborate closely with post-sales customer-facing teams to understand the needs and challenges of our enterprise customers.
• Translate customer and product insights into effective and persuasive deck content that addresses their pain points and highlights Okta's solutions.

Scalability and Product Alignment:

• Design solutions that scale to accommodate a diverse range of enterprise customer profiles.
• Regularly update and refine decks based on product usage data, ensuring they remain aligned with the latest features and capabilities of Okta and drive strong product adoption and retention.

Data-Informed Decision Making:

• Creatively leverage AI techniques to analyze product usage data and program performance, identifying patterns in what is working and what is not working at scale. 
• Develop methodologies to quantify and represent the business impact related to retention and adoption goals through AI-driven automation programs. 

Collaboration and Feedback:

• Work closely with cross-functional teams, including Product Management, Marketing, Data, and Customer Success, to gather insights and feedback for continuous improvement.
• Actively participate in collaborative sessions to align deck content with overarching business goals.

Minimum Required Skills and Abilities:

• AI/Automation Mindset: Proven ability to use data to build insight. Must possess the mindset to transition program design from traditional if/then decision trees to effective AI prompting and LLM workflows. Continuously test, measure, analyze, and recommend optimizations for existing programs and new opportunities
• Possess expertise in data strategy, analysis, and management related to customer marketing, growth marketing, and demand generation skill sets
• Strong understanding of enterprise customer needs and the ability to translate those needs into compelling deck content 
• Knowledge of Salesforce.com, Gainsight, Pendo, Tableau, Databricks, Snowflake, etc. to get the data and insights you need to successfully design, execute, and monitor programs. 
• Bonus points if you have experience with Matik or related deck-automation tools.
• Possess knowledge in the use of various content types and engagement methods, such as AI agents, video, in-app guides, and email, with demonstrated experience in prompt engineering for generating actionable insights and compelling content
• Ability to leverage an effective track record of success to positively influence program execution across teams
• Display effective communication and team collaboration skills
• Demonstrate excellent communication skills (presentation, verbal and written)

Qualifications:

• Prior experience managing digital success programs, as a growth product manager/marketer, or automating insights.
• Experience in building enterprise SaaS adoption programs is desired
• 5+ years of related experience
• Bachelor’s degree; advanced degree in a business, marketing, analytics, or technical field preferred
• Adaptability, flexibility in the face of changing business requirements and conditions
• Knowledge in identity, security, access management, workflow, and/or developer-facing products

#LI-Remote
P22165

Role Summary

We’re looking for a Digital Content & AI Automation Manager to lead our transition to 'Vibe Marketing.' Inspired by the shift toward Vibe Coding, we want to bridge the gap between creative intent and digital execution. You’ll move Okta away from manual tickets and rigid CMS forms toward an agentic, self-service model—building the tools that allow marketers to describe a goal in natural language and see it manifest across our digital ecosystem.

This is a test, learn, build, iterate role. You aren't just managing a stack; you’re building an autonomous engine that empowers every marketer to be a creator.

What You’ll Actually Do

• Build the "Vibe Marketing" tools: Create the workflows and agentic layers that allow non-technical stakeholders to manage and scale digital content across its entire lifecycle using natural language and AI assistance.
• Develop Agentic Support Models: Prototype and deploy AI agents that act as "co-pilots" for Marketing Managers—handling everything from automated tagging and metadata to complex distribution across our headless ecosystem.
• Architect Self-Service Systems: Reduce the "time-to-live" by building modular, reusable content structures that agents can manipulate, moving us beyond the constraints of traditional platforms like Adobe Experience Manager.
• Operate Like a Lab: Run rapid experiments with emerging AI tools and automation platforms. Build scrappy prototypes—not just strategy decks—to prove that "vibe-based" creation works at enterprise scale.
• Partner Across Teams: Bridge the gap between "what if" and "here’s how," working with Marketing, Engineering, and Digital teams to turn agentic concepts into production-ready workflows.

What We’re Looking For

• The "Vibe" Mindset: You understand the shift from "doing the work" to "directing the agents." You’ve followed the Vibe Coding movement and are itching to apply it to Marketing Tech.
• 4–8 Years of Experience: You’ve seen the limitations of legacy CMS architectures and are ready to bypass those bottlenecks by building a modern, agent-led content supply chain.
• Hands-on AI & Automation: You don't just prompt; you build. You have experience with APIs, MCP, LLM orchestration, and connecting tools to create seamless loops.
• Technical Fluency: You aren't a full-stack engineer, but you understand how to navigate enterprise complexity—you're comfortable with structured content, and the logic of how data flows between a headless CMS, an LLM, and the front-end.

#LI - Hybrid

P24086_3333054

Okta- Solutions Engineer- SLED

The Solutions Engineer Team

We believe Solutions Engineers at Okta are involved in all stages of the customer’s digital transformation.  Solutions Engineers are experienced using presentations, email, phone and social media to connect with customers virtually and in-person. We are looking for great teammates who can build and deliver sales presentations and customized product demonstrations to help educate Okta’s Customers (everyone from developers to product managers to C-level executives) on best practices during their cloud security technology journey. We believe Okta’s Solutions Engineers empathize with Customers and quickly discern their true technical needs by asking detailed, clarifying questions while presenting solutions that specifically address those needs. Okta Solution Engineers have the rare combination of technical acumen and business insight; in a career where you can utilize both. As a Solutions Engineer at Okta, you will further develop each of these skills by advising a diverse set of customers on the value they will gain by using Okta’s Identity Platform.

The Solutions Engineer Opportunity

Reporting to the Senior Manager of Solutions Engineers, the Solutions Engineer is a functional business consultant,  with a passion for technology and the advanced ability to develop, position and demonstrate product-specific solutions during sales cycles, while achieving quarterly and annual sales goals for an assigned territory.

What you’ll be doing 

• Work alongside the sales team as the technical and domain expert of a customer-facing sales team to help Customers understand the value of Okta’s solutions
• Understand customer challenges and business issues and provide product demonstrations to align our solutions with customer needs
• Answer product feature and technical questions from customers, partners and Okta colleagues
• Plan and deliver Proof Of Concepts for customers who have more complex use cases, collaborating with other Okta engineering teams as needed
• Provide feedback to product management about product enhancements that can address customer needs and provide additional value
• Share and learn best practices and re-usable assets with other Solutions Engineers to enhance the quality and efficiency of the team
• Stay current on competitive analysis and market differentiation
• Support marketing events including executive briefings, conferences, user groups, and trade shows
• At times, be asked to learn and lead your team as a subject matter expert (SME) with various product solutions and/or competitive knowledge

What you’ll bring to the role

• 3-5+ years pre-sales engineering experience.
• A passion to serve the Customer, demonstrated in a customer-facing role, such as consulting or support, but ideally in a pre-sales capacity.
• An ability to quickly communicate complex ideas around a technical topic, ideally on the fly, using a whiteboard.
• Deployed apps in cloud platforms: AWS, Azure, GCP, Vercel, etc.
• Experience with at least one standard network security protocol. (eg. OAuth, OAuth2, SAML, LDAP)
• Experience working with REST APIs, API Gateways, and SDKs
• Hands-on experience in one or more of the following areas: web (JavaScript, HTML, frontend frameworks) development, mobile (iOS, Android) development, backend (Java, C#, Node.js, Python, PHP, Ruby) development, IP-based real-time communications
• An understanding of core security concerns within a typical application. (password hashing, SSL/TLS, encryption at rest, XSS, XSRF)
• Exceptional communicator.
• Confident dispensing knowledge to a highly skilled and experienced audience, presenting to large rooms filled with experts in the field
• Territory management skills, including pipeline building and working with Sales counterparts to guide execution excellence
• Typically 25% travel.
• Bachelor's degree in Engineering, Computer Science, MIS or a comparable field is preferred.

You might also have (not mandatory):

• Hands-on experience with Generative AI or LLM technology such as LangChain, GenKit, LlamaIndex, etc.
• Experience integrating with microservices, data lakes, or customer data platforms.
• Developed ReBAC or Fine Grain Authorization models
• Diagramming experience for user journey flows, complex architecture diagrams, etc.

#LI-San Francisco

#LI-RZ

P24424_3330263

The Asana Marketing team is responsible for fueling business growth and building a brand customers love. We create campaigns and content to attract new accounts and inspire current ones to grow with us. We continue to grow, with a global team focused on revenue and field marketing, product marketing, brand and content creation, advertising, and lifecycle marketing.

As our SEO Content Manager for NAMER, you will own the strategy and execution for keyword targeting, content library development, and organic visibility initiatives. You’ll work at the intersection of search strategy and content production, partnering closely with PMM, marketing, and web teams to ensure every piece of content earns its place in search. We are looking for a data-driven strategist to help us navigate the evolving landscape of AI-driven search and drive meaningful pipeline growth. This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday.

What you’ll achieve

• Manage keyword targeting and opportunity analysis across NAMER markets, translating insights into clear content priorities.

• Optimize content for LLM retrieval and citation across AI search surfaces.

• Maintain and optimize the content library, including refresh cycles, consolidation, and performance improvements.

• Execute content-driven SEO initiatives, including brief creation, production, and AI-enhanced workflows for optimization.

• Drive off-site SEO strategy across reviews, forums, and community platforms in partnership with Customer Success.

• Track and report on content performance across organic and AI-driven search surfaces, tying efforts to traffic, conversions, and pipeline.

• Partner cross-functionally with PMM and Web teams to align content SEO strategy with broader business objectives.

About you

• 4+ years of SEO content strategy experience, specifically within the B2B SaaS industry.

• Deep understanding of keyword research, search intent, and how AI/LLMs are changing modern search dynamics.

• Proven experience managing large-scale content libraries and editorial calendars for SEO.

• Proficiency with SEO and AI tools to scale workflows and analysis.

• A data-driven mindset with the ability to tie SEO efforts to measurable business outcomes.

• Strong cross-functional communication skills and the ability to influence partners in marketing and product.

• Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making.

At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply.

What we’ll offer

Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role.

For this role, the estimated base salary range is between 94,000 - 104,000 CAD. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process.

We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:

• Mental health, wellness & fitness benefits.

• Career coaching & support.

• Inclusive family building benefits.

• Long-term savings or retirement plans.

• In-office culinary options to cater to your dietary preferences.

#LI-Hybrid

We are seeking a Senior Manager of GTM Operations to lead AI and horizontal platform programs within the Core Operations team. This role will shape how our global GTM organization becomes more productive, scalable, and AI-enabled—by defining high-impact use cases, driving cross-functional programs, and ensuring successful adoption of new capabilities.

Core Operations sits at the intersection of GTM strategy, systems, and execution. This leader will act as both the orchestrator of GTM AI programs and a GTM process engineer—rethinking and redesigning how work gets done across the customer lifecycle, then applying AI and platforms to streamline, standardize, and scale those processes.

What You’ll Do

Shape GTM AI Strategy & Drive Programs

• Define the GTM AI and platforms strategy for Core Operations, focused on improving productivity and enabling revenue and customer outcomes
• Translate business needs into prioritized AI use cases and requirements, partnering with IT to inform the broader technology roadmap
• Own and drive GTM AI programs end-to-end—from problem definition and business case through rollout and impact measurement
• Lead change management for new AI capabilities, ensuring strong adoption across Sales, Customer Success, Partners, and other GTM teams
• Establish and oversee data governance processes and programs that enable scalable, trusted AI solutions
• Run Field Advisory Board on GTM use of AI & horizontal platforms. Serve as the primary bridge between GTM leadership and IT, ensuring alignment on priorities and outcomes

Act as a GTM Process Engineer

• Analyze and redesign end-to-end GTM processes to reduce friction, eliminate manual work, and improve consistency
• Identify where AI and automation can fundamentally improve workflows—not just layer on top of existing inefficiencies
• Standardize global processes while allowing for necessary regional or segment variation
• Ensure process design, systems, and data models are tightly aligned to enable scalability and high-quality execution

Lead AI Tool Adoption & Internal Productivity

• Rapidly deploy and scale AI tools (e.g., Glean agents, LLM platforms such as Claude, and emerging technologies) to solve high-impact operational challenges
• Drive AI-powered improvements across GTM Ops workflows (e.g., territory planning, forecasting support, ticket deflection, reporting automation)
• Continuously surface opportunities to improve both internal Ops productivity and frontline GTM effectiveness

Establish GTM AI Intake, Evaluation & Scaling

• Build and run a centralized intake and prioritization model for AI use cases across GTM
• Develop frameworks to assess impact, feasibility, risk, and scalability
• Define clear execution paths (Ops-led vs. IT-partnered) and ensure successful pilots are scaled into durable solutions

Drive AI Productization, Data & Governance

• Establish the foundations for reusable, enterprise-grade AI solutions, including a centralized library of agents and use cases
• Partner with Data and IT teams to ensure solutions are built on high-quality, governed data
• Align use cases to the right platforms and infrastructure (e.g., Glean, Claude, and other tools), without directly owning the tooling roadmap

Upskill the Organization

• Develop the GTM Operations team into AI-fluent operators who can identify, assess, and scale high-impact opportunities
• Build training, frameworks, and hands-on learning programs to increase AI adoption and capability
• Foster a culture of experimentation, rapid iteration, and continuous improvement

Drive GTM Productivity Through Transformation

• Design and enable AI-driven improvements to end-to-end GTM processes, reducing manual work and increasing consistency
• Lead cross-functional initiatives that connect strategy, systems, and execution
• Ensure solutions are scalable, aligned to global standards, and deliver measurable business impact

Partner Across the Business

• Act as a strategic partner to GTM leadership, IT, Data, and Enablement teams
• Ensure solutions solve the right business problems and are successfully adopted in the field
• Support ongoing optimization through feedback loops, performance tracking, and iteration

Elevate the Core Operations Function

• Improve the productivity and effectiveness of the GTM Operations organization through better prioritization, tooling, and ways of working
• Help position Core Operations as a strategic, AI-forward partner to GTM leadership

What We’re Looking For

• 7–12+ years in GTM Operations, Strategy & Operations, RevOps, or similar roles
• Proven experience redesigning business processes and leading cross-functional transformation programs
• Experience identifying, piloting, and scaling AI/automation use cases in business operations
• Strong understanding of end-to-end GTM processes (Sales, Customer Success, Partners, SAs)
• Experience partnering with IT, Data, and Engineering teams
• Ability to bring structure to ambiguity—building frameworks, roadmaps, and execution plans
• Strong stakeholder management and executive communication skills

What Sets You Apart

• Experience acting as a “process architect” or “process engineer” within GTM or operations environments
• Experience deploying AI tools (e.g., enterprise search, LLM platforms, workflow automation)
• Systems thinker who can connect process, data, and technology into cohesive solutions
• Ability to balance rapid experimentation with scalable, governed solutions

Why This Role Matters

This role will help transition our GTM organization from fragmented tools and manual processes to a cohesive, AI-enabled operating model. By rethinking how work gets done and applying AI in a structured, scalable way, this leader will unlock meaningful productivity gains and enable the business to grow more efficiently.

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 1273425819

We are looking for a Director, GTM Systems & Infrastructure to build and lead the systems, automations, and data infrastructure that power our Go-To-Market organization. This role sits at the intersection of AI, automation, internal tooling, and data orchestration, focused on accelerating revenue by transforming how our GTM teams operate. You will design and scale the technical backbone that connects our GTM systems, operational workflows, and revenue data to create intelligent, automated processes across Sales, SDR, Customer Success, Marketing, and Partnerships. As a player-coach leader within RevOps, you will be responsible for translating complex business challenges into scalable technical solutions — building AI-driven workflows, automation frameworks, and internal tools that increase productivity, improve data reliability, and enable faster revenue execution.

This role also plays a critical part in our Gong-on-Gong / Customer Zero initiative, using our own products internally as a proving ground for new AI workflows, automation capabilities, and revenue infrastructure. The goal is to turn internal innovation into scalable operating models that power both our business and our customers.

RESPONSIBILITIES

• Build the Revenue Engineering Function
  
  • Establish and lead the Revenue Systems & Infrastructure discipline within RevOps, defining the strategy, roadmap, and operating model for AI, automation, internal tooling, and revenue data infrastructure.
  • Build and mentor a team of GTM systems and automation builders focused on scaling revenue operations through technology.
  • Define architectural standards and best practices for automation, integrations, and internal tooling.
• AI & Intelligent Workflow Automation
  
  • Design and deploy AI-powered workflows that improve productivity, decision-making, and execution across the revenue organization.
  • Identify and implement high-impact AI use cases across the GTM lifecycle, including pipeline management, prospecting intelligence, forecasting signals, and customer insights.
  • Translate ambiguous operational challenges into scalable AI-driven solutions.
• Automation & Workflow Orchestration
  
  • Own the architecture and scaling of GTM workflow automation across the revenue technology stack.
  • Design and implement complex automations and integrations using platforms such as Workato, APIs, and adjacent orchestration tools.
  • Build scalable workflows supporting:
    • Lead routing and lifecycle management
    • Territory and account ownership
    • Data enrichment and quality management
    • Pipeline governance and operational execution
    • Compensation, quota, and operational processes
• Internal Tool Creation
  
  • Design and build internal applications and lightweight tooling that accelerate GTM execution and reduce reliance on fragmented point solutions.
  • Partner with RevOps, Sales, and Product teams to develop tools that unlock insights, improve operational visibility, and support AI-driven workflows.
  • Evaluate build vs. buy decisions to reduce vendor sprawl and technical complexity.
• Revenue Data Infrastructure & Orchestration
  
  • Own the orchestration and reliability of revenue data across the GTM ecosystem.
  • Design scalable data pipelines and integrations that power automation, analytics, and AI-driven workflows.
  • Partner with systems and data teams to ensure data quality, governance, and visibility across core GTM platforms.
• Customer Zero / Internal Innovation
  
  • Act as a core technical leader in the Customer Zero initiative, using our own products internally to develop scalable GTM workflows.
  • Prototype and operationalize new automation patterns and AI use cases that shape how modern revenue teams operate.
• Operational Execution & Platform Health
  
  • Own the intake, prioritization, and roadmap management for Revenue Engineering initiatives.
  • Manage team capacity, delivery timelines, and stakeholder alignment across multiple technical projects.
  • Maintain high standards for system reliability, monitoring, documentation, and change management.

QUALIFICATIONS 

• 8+ years in RevOps, GTM Ops, Data Strategy, or Sales Operations roles
• Revenue Infrastructure & GTM Systems Experience
  
  • Deep understanding of modern revenue organizations and GTM operations, including Sales, SDR, Customer Success, Marketing, and RevOps workflows.
  • Experience building or operating GTM infrastructure in high-growth B2B SaaS environments.
• Automation & Workflow Engineering
  
  • Significant experience building and scaling automations using platforms such as Workato, Zapier, n8n, or similar automation and orchestration tools.
  • Strong experience designing integrations and automation frameworks across complex GTM system environments.
• AI & Emerging Technology
  
  • Practical experience applying AI or LLM technologies to real business workflows.
  • Ability to evaluate emerging AI tools and determine where they create real business leverage.
• Data Architecture & Systems Thinking
  
  • Strong understanding of data architecture, APIs, and system integrations across revenue platforms.
  • Experience designing scalable data pipelines and workflows that support automation, analytics, and operational processes.
• Internal Tool Development
  
  • Experience building internal tools using platforms such as Retool or similar internal application frameworks.
  • Ability to rapidly prototype and deploy tools that solve operational problems.
• Leadership & Execution
  
  • Experience operating as a player-coach leader in technical or operational teams.
  • Strong prioritization and project management skills in fast-moving environments.
  • Ability to operate effectively in ambiguity and translate loosely defined problems into executable solutions.
• Builder Mindset
  
  • Strong systems thinking and ability to design durable, scalable solutions instead of one-off fixes.
  • Proven ability to scale automation and engineering systems while minimizing technical debt and operational complexity.

PERKS & BENEFITS 

• We offer Gongsters a variety of medical, dental, and vision plans, designed to fit you and your family’s needs.
• Wellbeing Fund - flexible wellness stipend to support a healthy lifestyle.
• Mental Health benefits with covered therapy and coaching.
• 401(k) program to help you invest in your future.
• Education & learning stipend for personal growth and development.
• Flexible vacation time to promote a healthy work-life blend.
• Paid parental leave to support you and your family.
• Company-wide recharge days each quarter.
• Work from home stipend to help you succeed in a remote environment.

The annual salary hiring range for this position is $174,000 - $250,000 USD. 

Compensation is based on factors unique to each candidate, including, but not limited to, job-related skills, qualification, education, experience, and location. At Gong, we have a location-based compensation structure, which means there may be a different range for candidates in other locations. The total compensation package for this position, in addition to base compensation, may include incentive compensation, bonus, equity, and benefits. Some of our sales compensation programs also offer the potential to achieve above targeted earnings for those who exceed their sales targets. 

We are always looking for outstanding Gongsters! So if this sounds like something that interests you regardless of compensation, please reach out. We may have more roles for you to consider and would love to connect.

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Gong recruiting email communications will always come from the @gong.io domain. Any outreach claiming to be from Gong via other sources should be ignored.

Gong is an equal-opportunity employer. We believe that diversity is integral to our success, and do not discriminate based on race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, military status, genetic information, or any other basis protected by applicable law.

To review Gong's privacy policy, visit https://www.gong.io/gong-io-job-candidates-privacy-notice/ for more details.

About the Role

We are looking for a Senior Solution Lead to join our high-performing Pre-Sales & Solution Strategy team. You will sit at the intersection of Sales, Delivery, Product, and Client Leadership, shaping the solutions we take to market and directly influencing multi-million-dollar outcomes.

This is not a “respond to the RFP and pray” role. This is a strategic, high-ownership, high-IQ seat where you:

• Shape the problem,
• Design the solution, and
• Influence how we win and deliver.

You will focus exclusively on large, complex opportunities valued at $1M+, where your problem-framing, technical depth, and storytelling materially impact win rates.

You will report to the Head of Pre-Sales & Solution Strategy and collaborate with a senior, globally distributed team across India, the US, and Europe.

Responsibilities:

What You’ll Own

1. Deal Shaping & Pre-Sales Architecture

• Translate ambiguous client goals into clear, compelling, technically credible solution architectures (Figma/Miro/Adobe)
• Lead discovery workshops, ask incisive questions, and define what a winning solution looks like—for the client and for us.
• Build decks, narratives, and pricing models that position us decisively above competitors. (Google/PP/Canva)
• Navigate seamlessly between C-level outcomes (business case, ROI, risk) and engineering deep dives (architecture, delivery approach, tradeoffs).
• Own the solution narrative end-to-end across EOI/RFI/RFP responses, orals, and executive briefings.
• Solution Estimating: Provide high level pricing estimates tied to value impact statements (ROI) for clients including software, hardware, cloud and tooling licensing for POC/MVP/Commercial models
  
  

2. Cross-Domain Solution Engineering

Own the solution across the full delivery lifecycle, spanning:

• Applications – modernization, greenfield engineering, platforms, integration
• Infrastructure – cloud infra, DevOps, SRE, infra automation
• Security – controls, IAM, governance, secure-by-design patterns
• Cloud – AWS / Azure / GCP architectures, migration strategies, optimization / FinOps
• Tooling- AI models, ISV licenses, tokens etc

You bring technical breadth with depth in at least one practice area and can credibly orchestrate end-to-end solutions.

A practical understanding of how AI cuts across these domains is essential, including:

• agentic automation across workflows and operations
• private AI stacks (RAG, governance, observability)
• model-integrated applications and copilots that augment existing systems

3. Go-To-Market & Productized Offerings

• Turn our capabilities into clear, differentiated, repeatable solutions and offerings.
• Collaborate with Product, Delivery, and Marketing to evolve our GTM playbooks and sales assets.
• Package reference architectures, POVs, and standard patterns based on real market demand.
• Capture learnings from deals and delivery to refine offerings and win themes.

4. Internal Collaboration & Leadership

• Partner closely with Sales on deal strategy, qualification, and pursuit plans.
• Align with Delivery Leaders to ensure proposed solutions are buildable, profitable, and differentiated.
• Contribute to sales enablement via reusable messaging, templates, and pricing frameworks.
• Act as a thought leader and mentor for junior solution engineers and architects.

What Success Looks Like

• You influence $6M+ in annual revenue through deals with TCV targets valued at $1M+.
• Stakeholders (Sales, Delivery, Clients) consistently rate your solutions as clear, differentiated, and client-aligned.
• Sales teams proactively pull you into strategic conversations because you “help deals close.”
• Delivery teams trust your architectures—and want to build them.
• You significantly enhance our GTM library with reusable assets, offerings, and standard patterns.
• Over time, you shape or lead 1–2 strategic offerings or solution themes for the company.

Who Thrives in This Role

We’re targeting top-tier pre-sales / solution engineering talent in India who demonstrate:

• Flexible thinking – can reshape a problem even when the client can’t articulate it clearly
• Structured reasoning – can break down complexity into options, tradeoffs, and recommendations
• Technical breadth + depth – strong grounding in apps, infra, security, and cloud, with a sharp view of how AI enhances each
• Storytelling ability – can communicate crisply to CXOs, procurement, and engineering teams
• Calm confidence – comfortable leading conversations amid ambiguity and pace
  Ownership mindset – thinks like an owner, not a vendor; cares about long-term value and delivery success

About You

The essentials:

• 7–12+ years in pre-sales engineering, solutions architecture, or consulting roles in IT services / SaaS / cloud / AI-led solutions
• Proven ability to influence or close $1M+ services deals (multi-tower or multi-year preferred)
• Hands-on understanding of services delivery, including SDLC, cloud migrations, modernization, architecture patterns, and infra operations
• Experience designing or positioning solutions with AI integration, agent workflows, automation, or model-enhanced apps (copilots, RAG systems, intelligent workflows)
• Ability to build defensible pricing models (T&M, fixed-price, managed services, outcome-based)
• Strong written and verbal communication skills in English; experienced presenting to senior stakeholders
• Comfortable working with distributed global teams across time zones

Not a must, but a plus:

• Hands-on experience with one or more major cloud providers (AWS, Azure, GCP)
• Familiarity with modern data and AI stacks (Snowflake, Databricks, vector DBs, LLM orchestration frameworks)
• Background in consulting-led environments (Big 4, global SIs, boutique consulting firms)
• Industry experience in BFSI, Retail, Manufacturing, Healthcare, or similar

At.Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants, from all backgrounds, who are excited to contribute to our mission.  

LOCATION salary range

$150,000— $180,000 USD

#LI-REMOTE 

#LI-SDL1

About the Role:

We are building AI-powered, agentic workflows to transform how service operations scale, resolve customer needs, and maintain quality in high-stakes environments. At Gusto, that means designing systems that can earn the trust of small business owners — where a wrong answer or a missed escalation has real consequences.

As an AI Solutions Architect, you will own the end-to-end design and performance of these workflows in production — where models, tools, data, and human judgment come together to deliver outcomes. This is not a traditional architecture role. You will design, prototype, deploy, and continuously improve AI-driven systems that directly impact customer experience and operational efficiency. You will also play a key role in shaping the evolution of our AI platform by identifying capability gaps, prototyping solutions, and informing the primitives required to scale agentic systems effectively.

You will report into the Service Transformation org and work at the intersection of AI governance, service quality, and operational transformation — operating as the connective tissue between Engineering, CX, Legal, and Compliance as Gus, Gusto's AI assistant, scales.

About the Team:

The mission of our Service Transformation (CXT) team is to quickly evolve and scale how Gusto delivers outstanding service experiences and leverages AI to do so. Our team designs the systems, governance frameworks, and feedback loops that allow Gusto's service model to improve continuously, operate reliably, and earn the trust of the customers and employees who depend on it.

Here’s what you’ll do day-to-day:

• Architect, prototype, and own end-to-end agentic service workflow frameworks, from scoping through production deployment and iteration — including solve and assist targets, HITL protocols, override logic, and downstream quality safeguards
• Analyze SOPs, operational metrics and interaction data to identify and prioritize high-impact automation opportunities based on volume, risk, and customer impact
• Design and implement multi-agent orchestration patterns across tools, data sources, and decision steps within a single end-to-end workflow
• Apply and influence AI platform capabilities in partnership with CoreX (Gusto's AI Platform team) — including orchestration, retrieval, and evaluation — helping define what needs to be built to support production workflows at scale
• Identify platform gaps, prototype workflow-level solutions, and partner with engineering to shape the primitives required for reliable, scalable AI systems
• Serve as the primary CX voice in Legal, Security, Compliance, and CoreX forums — translating CX quality stakes and workflow risk into terms each audience acts on, and ensuring governance requirements are embedded in design, not retrofitted after launch
• Strengthen evaluation frameworks and feedback loops to ensure quality, compliance, and continuous improvement; contribute to Gusto's human evaluation programs and AI governance practices through deep partnership with our internal CX Labs team
• Partner with Data teams to define and track workflow performance — including solve and assist rate, AHT, rework rate, and customer effort score — clearly distinguishing between model-level, workflow-level, and operational drivers
• Build ROI models to quantify workflow impact across efficiency, quality, and cost before and after deployment
• Represent workflow performance and risk to senior stakeholders with appropriate precision and brevity; communicate in a way that drives action, not overwhelm
• Lead through ambiguity and rapid change: the function is still being defined, and you will help define it

Here’s what we're looking for:

• 8+ years in operations, product, or AI roles — with at least 2 years designing and deploying AI-assisted or agentic workflows
• Strong fluency with LLM systems, including prompt design, evaluation, and production behavior at scale
• Hands-on experience with agentic tooling, orchestration frameworks, or MCP-style integrations — conceptual familiarity is not sufficient at this level
• Experience designing human-in-the-loop (HITL) systems with clear escalation logic, override controls, and compliance-aware checkpoints
• Working knowledge of multi-agent systems and tool coordination
• Strong operational judgment: able to define and diagnose workflow metrics 
• Proven track record influencing cross-functional stakeholders — including Product, Engineering, Legal, Security, and Compliance — in writing, in design reviews, and in high-stakes forums
• Familiarity with Responsible AI practices, governance, and risk management in production environments
• Proven ability to operate in high ambiguity, create clarity, and drive alignment across technical and non-technical audiences
• Strong systems thinking with a bias toward execution and measurable outcomes
• Deep empathy for small business customers and the employees who serve them

Our cash compensation amount for this role is $133,470/yr to $173,511/yr in Denver & most major metro locations, and $157,145/yr to $204,289/yr for San Francisco & New York. Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above.

The Work

Ripple Treasury is a high-growth, $100M ARR SaaS business delivering mission-critical solutions for the Office of the CFO. Our adaptable, native digital platform serves the world’s most demanding finance organisations — enabling CFOs, Controllers, and Treasury teams to operate with greater speed, accuracy, and confidence; the “Clarity to Act”.

Our customers are large and enterprise-scale organisations, and we serve them through a fundamentally high-touch, relationship-driven model. We operate globally with significant presence across North America (US & Canada), Europe (London, Dublin, and Geneva), and Asia-Pacific (Singapore and Sydney). We are on a clear trajectory toward category leadership and are investing decisively in our customer experience and go-to-market capabilities to get there.

As Head of Customer Success, you will own the full post-implementation customer experience — from go live through to deep adoption and long-term advocacy — for a global, enterprise customer base where relationships are complex, stakes are high, and expectations are demanding. This is a seat on the Leadership Team and a pivotal role in driving how we retain, grow, and scale with our customers.

Your primary commercial mandate is the protection and growth of recurring revenue through disciplined retention management, pricing stewardship, and a deep commitment to driving product adoption. Where customers are getting maximum value from the platform, expansion naturally follows — and you will build the adoption engine that makes this a repeatable, measurable reality.

You will lead Customer Success, Support, and Customer Education, building the systems, talent, and AI-powered tooling required to deliver measurable, repeatable value at scale. You will be the voice of the customer in the leadership team, a trusted commercial partner to Sales, and the leader who sets the standard for what great customer experience looks like in enterprise FinTech.

Central to this role is the ownership of Ripple Treasury’s Customer Reference Programme. In enterprise software sales, references are not a courtesy — they are a commercial weapon. A well-prepared, enthusiastic reference from a peer CFO can accelerate a deal and eliminate competitive risk; a poor or unprepared one can destroy months of sales effort. Building a deep, diverse, and actively managed panel of reference customers is therefore a strategic priority for the business, and this role owns it end to end. The programme begins at implementation — identifying and nurturing potential advocates from the moment a customer goes live — and evolves throughout the customer lifetime into formal references, case studies, executive peer relationships, and public advocacy. Done well, the reference programme becomes one of Ripple Treasury’s most powerful go-to-market assets.

What you’ll do

Revenue Retention & Pricing Stewardship

• Own gross revenue retention (GRR) as the primary commercial accountability of the role — building the operational rigour, early-warning systems, and executive relationship depth to protect and grow the recurring revenue base.
• Lead the annual and in-cycle renewal process for enterprise accounts, ensuring renewals are managed proactively, professionally, and with a clear commercial strategy that reflects the value delivered.
• Act as a key voice in pricing decisions — partnering with Finance, Product, and Sales leadership to ensure price positioning is grounded in demonstrated customer value, market context, and long-term retention dynamics.
• Develop and manage a tiered account coverage model that matches resource intensity to account risk, strategic importance, and growth potential across the global portfolio.
• Maintain a real-time view of customer health, renewal risk, and commercial exposure across all regions, and report this clearly and confidently to the leadership.

Product Adoption & Customer Value Realisation

• Define and own the adoption framework for the business — including feature activation milestones, user engagement benchmarks, and outcome-based success metrics aligned to CFO priorities.
• Build structured Customer Success programmes — health check cadences, QBRs, and executive business reviews — that create a continuous conversation around value delivery and adoption progress.
• Partner with Product to ensure the platform is intuitive, well-documented, and supported by in-app guidance, self-serve resources, and AI-assisted help that reduces friction and accelerates time-to-value.
• Develop a Customer Education capability — including digital learning pathways, and power-user programmes — that embeds deep product knowledge within customer organisations.
• Use adoption data to generate account-level intelligence that Sales can act on: identifying expansion-ready customers, surfacing whitespace opportunities, and flagging where new use cases are gaining traction.
• Work closely with Sales and Marketing on the customer-led growth motion — ensuring CS insight feeds pipeline generation, case studies, and customer referral programmes.

Customer Support & Service Excellence

• Oversee the global Customer Support organisation, ensuring consistent, high-quality service delivery across all geographies and time zones (US, Canada, UK, Ireland, Switzerland, Singapore, and Australia).
• Set and hold the team accountable to SLA commitments and customer satisfaction benchmarks — including CSAT, NPS, and time-to-resolution — that reflect the high standards our enterprise customers expect.
• Drive a shift toward intelligent, AI-augmented support — deploying deflection tools, predictive issue detection, and AI-assisted case resolution that reduce effort for customers and free the team to focus on complex, high-value interactions.
• Ensure Support is positioned as a proactive function, not just a reactive one — flagging adoption gaps, product friction, and at-risk signals to CS and Product in real time.

AI-Powered Tooling & Operating Model

• Define and own the AI and technology roadmap for the Customer organisation — selecting, deploying, and continuously improving the tools that underpin CS, Support, and Education workflows.
• Champion the use of AI-driven customer health scoring that synthesises product usage data, support ticket patterns, engagement signals, and sentiment to provide a predictive, real-time view of each account.
• Deploy AI-assisted tooling for CSMs and Support teams — including intelligent playbook recommendations, automated at-risk alerts, AI-drafted customer communications, and summarisation of account history — to increase capacity and consistency.
• Use AI to scale the Quality Business Review process: automating data preparation, surfacing the most relevant insights per account, and enabling CSMs to spend more time on strategic conversation and less on slide preparation.
• Leverage AI-powered self-serve and in-product guidance to accelerate adoption journeys — reducing dependency on human-led intervention for common tasks and feature discovery.
• Build a culture of experimentation within the team — regularly testing new AI tools, measuring their impact on key metrics, and scaling what works across the global CS organisation.
• Partner with the Chief Technology Officer and Chief Product Officer to ensure the AI tooling strategy for the Customer team is aligned with the broader platform and data architecture.

Customer References & Advocacy

• Build and own a structured Customer Reference Programme that begins at implementation — identifying and nurturing potential reference customers from go-live, before they are ever needed by Sales, so that relationships are warm, stories are authentic, and references are given willingly rather than reluctantly.
• Partner with the implementation and onboarding teams to embed reference-readiness into the customer journey from day one — setting expectations with new customers early, capturing initial success stories at go-live, and progressively building the relationship depth required for credible, high-quality references as the account matures.
• Maintain a live, actively managed reference panel — segmented by industry, geography, use case, and customer size — that gives Sales the right reference for the right prospect at the right moment in every deal cycle. A generic reference is rarely as powerful as a matched one.
• Protect reference customers with the same rigour as pipeline — monitoring their health, acting quickly when sentiment shifts, managing reference fatigue by rotating requests thoughtfully, and ensuring that every reference commitment is properly briefed, prepared, and followed up with appropriate recognition.
• Work closely with Sales leadership to understand the deals where references are material to close — and escalate rapidly when a reference risk is identified. A single poor or unprepared reference in a competitive enterprise deal can be decisive; this function must be treated as a commercial priority, not an administrative one.
• Expand advocacy beyond individual reference calls — building a programme that includes executive peer networks, customer advisory boards, co-authored thought leadership, conference speaking opportunities, and case studies that give willing customers meaningful ways to advocate publicly for Ripple Treasury in the CFO community.
• Track reference programme health as a formal metric — including the size and quality of the active reference panel, reference request fulfilment rates, and the contribution of references and advocacy to Sales win rates — and report this to leadership alongside the core retention and adoption scorecard.

Voice of Customer & Cross-Functional Partnership

• Serve as the definitive internal champion for the customer, synthesising feedback, usage trends, and renewal signals into actionable insight for Product, Engineering, Marketing, and leadership.
• Establish robust VoC programmes — including NPS, QBRs, advisory councils, and win/loss analysis — that create a closed feedback loop from the frontline to the product roadmap and commercial strategy.
• Partner closely with the Head of Sales to align on the commercial handoff from post-sale to Sales, ensuring expansion opportunities identified through adoption data are translated into qualified pipeline.
• Represent the customer perspective in all leadership discussions.

Team Leadership & Organisational Development

• Build, lead, and inspire a globally distributed customer-facing organisation across Customer Success and Support, with a culture that is accountable, data-driven, and genuinely customer-obsessed.
• Develop a high-performance environment with clear career paths, coaching frameworks, and recognition programmes that attract and retain top talent across the US, Canada, UK, Ireland, Switzerland, Singapore, and Australia.
• Drive AI literacy and adoption within the team — ensuring every CSM and Support professional is equipped and expected to use AI tools as a core part of their daily workflow, not an optional add-on.
• Build the operational infrastructure — playbooks, KPI frameworks, health scoring, CS platforms, and reporting cadences — that makes the team scalable without losing the quality and personalisation that enterprise customers expect.

What you’ll bring

Essential Experience

• 10+ years of progressive experience in customer-facing leadership roles within B2B enterprise SaaS, with at least 3–5 years at the top table with clear ownership of post-sale revenue and retention.
• Demonstrated track record of achieving and defending strong GRR metrics at scale — ideally in a $50M–$200M ARR SaaS business — with experience navigating complex enterprise renewal negotiations.
• Proven experience building and scaling product adoption programmes that create a measurable link between feature engagement and commercial outcomes.
• Deep experience partnering with Sales on customer-led growth motions — turning CS insight into pipeline and customer advocacy into revenue.
• Hands-on experience deploying AI and automation tools within a CS or Support organisation — including customer health platforms, AI-assisted workflows, and self-serve/deflection tools.
• Experience serving customers in the Office of the CFO, financial technology, ERP, FP&A, treasury, or GRC verticals is highly desirable — the ability to converse credibly with CFOs and finance leaders is essential.
• Proven ability to manage high-touch relationships with enterprise or Fortune 500 customers, including executive sponsorship at C-Suite level across multiple geographies.
• Track record of building globally distributed teams that operate cohesively across time zones, cultures, and regulatory environments.

Leadership Attributes

• Customer obsessed — you hold a deeply held belief that customer outcomes and business outcomes are inseparable, and you bring this perspective to every internal decision.
• Commercially grounded — you understand that retention, pricing, and adoption are interconnected levers, and you manage them with precision and strategic intent.
• AI-forward — you are genuinely enthusiastic about the potential of AI to change how customer organisations operate, and you have the credibility and hands-on experience to lead this transformation.
• Data-driven — you operate from insight, not instinct alone; you are comfortable with health scoring models, cohort analysis, adoption funnels, and leading vs lagging indicators.
• Executive presence — you are credible, compelling, and confident in front of enterprise customer executives.
• Builder’s mindset — you are energised by the opportunity to create structure, process, and capability in a business that is still scaling, and you know the difference between building for now and building for scale.
• Collaborative and Sales-aligned — you see CS and Sales as one commercial team with different roles, and you invest in making the partnership between them a genuine competitive advantage.

Preferred Background

• Experience in financial technology, ERP, FP&A, treasury, or GRC SaaS solutions.
• Previous exposure to private equity or venture-backed high-growth environments.
• Familiarity with market leading CS and CRM platforms.
• Working knowledge of AI tools relevant to CS operations: LLM-based summarisation, predictive health scoring, AI-assisted communication, and in-product guidance platforms.
• Multilingual capability or deep experience leading teams across English, Spanish, French, and German-speaking markets.

About Loop

Loop is the data platform for the global supply chain. Logistics runs on messy, unstructured data—trapped in PDFs, emails, and legacy systems. We use AI to structure this chaos, creating a "source of truth" that automates payments and audits for the Fortune 100.

We are building the financial nervous system for a $100 trillion physical economy. Our technology ensures freight moves efficiently and carriers get paid instantly.

Backed by Founders Fund, Index Ventures and 8VC, we are scaling rapidly. We are looking for engineers ready to deploy production AI that powers the physical economy.

About the New Grad Program

Most AI stays in the browser. Ours moves atoms. You aren't just building features; you are building the autonomous brain for the Fortune 100’s global supply chain.

This program is designed to compress 3 years of learning into 1 year by throwing you into the deep end of production AI systems on Day 1. Instead of sandboxed projects, you get to solve real problems and impact customers directly. This program demands intense investment, but by the end, you will perform as a strong entry-level engineer jumpstarting your career.

The Schedule:

• Week 1 (Onboarding): Deep dive into tools and domain. You will ship code to production on Day 1 and fully grasp our dev loop by Friday.
• Months 1-3 (Velocity): You will deliver 3 entry-level projects with increasing ambiguity. By the end of Month 3, you are expected to operate as a fully independent engineer.
• Months 4-9 (The Rotation): You will rotate onto a different high-impact team to expand your surface area. Tracks include:
• Platform: AI infrastructure and Engineering Systems.
• Core Product: Audit, Billing, and Payments logic.
• Commercial: Revenue Activation and Forward Deployed Engineering.
• Special Projects: Partnering directly with the CEO/CTO and other execs
• Month 9+ (Graduation): You should demonstrate Mid-Level Engineer performance and will be considered for immediate promotion.

About You

We're not just looking for strong academic performers. We're looking for people who are genuinely driven to build things and go deep on hard problems. If the following resonates, you belong here:

• You go above and beyond. You have a repo, a side hustle, or a project you built just because you are curious. You’re self-directed and don't need an assignment to start coding.
• You have a bias towards action. You prefer to ship, break, fix, and apologize rather than wait for a committee decision.
• You are drawn to hard problems. You want problems that are more than one prompt away from a solution.
• You get absorbed in mastering your craft. Whether it’s climbing the Esports ladder, acing a math competition, winning a hackathon, or debugging a complex issue, you know what it feels like to lose track of time working on something you care about.

Responsibilities

• Ship critical infrastructure. Manage real-world logistics and financial data for the largest enterprise in the world.. 
• Own the why. Build deep context through customer calls, and understand the Loop’s value to our customers. You push back on requirements if you see a better, faster way to solve the customer’s problem.
• Full-stack proficiency. Work across system boundaries, from frontend UX to LLM agents, database schema and event infrastructures.
• Leverage AI tools to handle the 90% boilerplate, so you can focus the highest leverage 10%: quality, architecture, product taste.
• Raise the velocity bar. You will constantly optimize our dev loops, refactor legacy patterns, automate your own workflows and fix broken processes.

Qualifications

• Graduating with a BS or higher in STEM fields; available to start full-time in 2026.
• Working in person in the SF or Chicago office 4 days a week.
• Proficiency with modern techstack. You can deliver a modern web app in hours not in days..
• Unblocking yourself. You thrive in ambiguity. Despite the chaos, you deliver high quality products and business impact.
• AI Literate. You have strong intuition on how LLM works: where they excel and where they generate slop. You live and breathe AI native tools (Cursor, Codex, Claude Code etc.)

Compensation

• $125,000 annual base pay for Chicago

Benefits & Perks

• Fully paid health insurance.
• 401k with matching.
• Unlimited PTO.
• Generous professional development budget.
• Commuter benefits.
• Wellness benefits
• Phone plan stipend

#LI-LOOP

What we do  

You’ll join a software engineering team building internal AI solutions that support teams across The Trade Desk. We leverage large language models, retrieval‑augmented generation (RAG), agentic systems, and enterprise platforms like Microsoft Copilot and Anthropic Claude to improve productivity, streamline workflows, and reduce operational friction.

Our team also plays a key role in AI enablement across the company—supporting teams as they adopt Copilot, Claude and similar tools, designing and deploying custom AI agents, and guiding partners through their AI journey from idea to impact.

As a Senior AI Engineer on this team, you’ll be an end-to-end owner—collaborating closely with stakeholders, identifying opportunities, and delivering tools that make a real impact. We’re a nimble, fast-paced, and highly collaborative group that thrives on transforming the way teams operate and driving greater value across The Trade Desk.

What you’ll do: 

Some of the work that you will be doing to help us deliver on our mission is:

• Design and deploy intelligent agentic systems that integrate large language models (LLMs) with enterprise data, tools, and workflows using frameworks like LangChain, LlamaIndex, and Semantic Kernel.
• Develop Retrieval-Augmented Generation (RAG) applications using tools like Azure AI Search, vector databases, and secure enterprise connectors to deliver contextual insights.
• Build and deploy agents using Microsoft Copilot, Copilot Studio, Anthropic Claude, and similar platforms to help teams operationalize solutions within enterprise guardrails.
• Build and iterate on conversational agents that solve real-world problems, meet stakeholder needs, and deliver measurable business value.
• Deliver high-impact features by collaborating across teams, leading through ambiguity, and aligning technical solutions with business goals.
• Drive quality and performance through automated testing, monitoring, and data-driven evaluation of success criteria, user adoption, and operational efficiency.
• Mentor teammates and contribute to a culture of innovation, technical excellence, and continuous learning.

Who you are: 

• You have a Bachelor’s/Master’s level degree in computer science or relevant engineering-related field or equivalent experience.
• You have 8-10+ years of software engineering experience, including 1-2+ years working on AI-powered systems or products.
• You are proficient in Python and comfortable with additional languages such as C#, SQL, or TypeScript/React.
• You’re excited about AI enablement, including helping teams adopt platforms like Microsoft Copilot, Anthropic Claude and Copilot Studio, building agents, and guiding others through their AI journey.
• You have a good foundational knowledge of or hands-on experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel) and prompt engineering using LLM APIs.
• You have experience productionizing applications and implementing CI/CD pipelines to ensure reliable, scalable deployments.
• You are skilled in data ingestion and transformation using APIs, ETL pipelines, and connectors, and familiar with vector databases and retrieval strategies.
• You communicate clearly across technical and non-technical audiences and thrive in a collaborative, cross-functional environment.
• You are a fast learner who adapts quickly to new technologies and solves complex problems with creativity and pragmatism.

#LI-TP1

A variety of technical opportunities is one of the best things about working at The Trade Desk as a software engineer, which is why we do not expect you to know every technology we use when you start. What we care about is that you can learn quickly and find solutions to complex problems using the optimum tools for the job. What you know is less important than how well you learn and innovate. We are not seeking engineers who know all the answers; we need engineers who can invent answers no one has thought of yet and find answers to the questions yet to be asked. 

The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

[LA JOBS ONLY] The Trade Desk will consider qualified applicants with criminal histories for employment in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring, Ordinance No. 184652.

[SF JOBS ONLY] Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

#LI-TP1

Strategic Account Executive at Unframe 

Location: Chicago, Illinois (Remote)

About Unframe

Unframe is an AI-first startup helping the world’s largest enterprises bring LLM-powered applications to life in days - not months. We combine the speed of a product company with the flexibility of a consultancy, helping customers move from idea to deployed AI systems faster than anyone else in the market.

Backed by Bessemer, Craft, and TLV Partners with $50M in Series A funding, we’re building a fast-growing, revenue-generating company working with Fortune 500 customers globally

About the role:

We’re looking for Strategic AEs to join our team and help drive our go-to-market motion. You’ll play a pivotal role in landing our first major customers, shaping our sales playbook, and partnering directly with the VP of Sales and founder to build a high-performance revenue engine.

What you’ll do:

• Lead complex, multi-stakeholder sales cycles into highly regulated industries (FinServ, Healthcare, Manufacturing, Retail) where our on-premises capabilities provide a competitive advantage.
• Build pipeline from zero in an early-stage environment—identify and win strategic enterprise accounts with no hand-raisers or established playbook.
• Translate complex AI/ML capabilities into compelling business outcomes for C-suite stakeholders, positioning Unframe for companies seeking to “buy vs. build” AI capabilities.
• Architect multi-year expansion strategies and build deep relationships across IT, product, and innovation teams.
• Collaborate directly with the VP of Sales and founders to refine the enterprise strategy and influence the product roadmap

What we are looking for:

• 8+ years enterprise software sales with consistent quota over-achievement at Fortune 500 companies
• Proven track record closing $1M+ ACV deals in early-stage environments
• Experience selling complex technical solutions to CIO organizations
• Background in AI/ML platforms, digital transformation, enterprise data platforms, or management consulting
• Entrepreneurial mindset, you thrive in ambiguity, own outcomes, and build from scratch
• Success in highly regulated industries with complex compliance requirements

Nice to have:

• Regulated industry experience, early-stage success

Why join us?

• Compensation is uncapped with aggressive accelerators. At $1M+ ACV deal sizes, this structure rewards over-performance on meaningful deals.
• Our VP of Sales joined Unframe for three reasons: a founder with a proven exit, tier-one investors, and a product that's genuinely different and defensible. The GTM approach backs that up. Buyers get a free POC, tailored to their actual use case, delivered in days. No data sharing, no upfront cost, no six-month consulting engagement before anyone sees value.
• You'll work directly with the VP of Sales and founders, shape GTM strategy, close the deals that define our market position, and hold equity in a company with real institutional backing and momentum.
• We hire with intention. If you thrive in a performance culture with real backing behind you, you will win here.

Ready to Build the Future?

If this opportunity excites you, apply now!

Okta is seeking a highly proficient GEO Content Specialist to execute content-focused Generative Engine Optimization (GEO) strategies for Okta and Auth0. This is a mid-level individual contributor role focused on ensuring content is optimized for visibility and retrieval in the evolving landscape of AI Search/GEO/AEO. The ideal candidate is a reliable self-starter with a strong understanding of content, SEO, and the mechanisms of Large Language Models (LLMs).

Core Responsibilities & Execution

• Content Optimization:
• Execute the strategy for structuring and optimizing content to promote content retrievability by LLMs
• Develop and refine content blocks to be machine-parsable and aligned with semantic density and emerging AI answer formats.
• Understand how content must be shaped for LLM visibility and apply best practices while adhering to brand and quality standards.
• Identify opportunities by reviewing GEO prompt data, analyzing competitors, and thinking creatively about content needs for the business
• GEO Knowledge & Application:
• Maintain a working knowledge of how LLMs function, relevant KPIs, and content-related GEO best practices.
• Apply concepts such as vector embeddings, RAG, grounding, chunks, passages, and citations in daily content work.
• Stay current on industry changes related to GEO/AEO/AIO and the future of organic visibility.
• Data & Workflow:
• Utilize a data-driven approach to execute content tasks and identify content performance trends.
• Collaborate with Content and Digital Strategy teams to ensure optimized content is published effectively.
• Manage assigned content tasks effectively, meeting deadlines and quality standards.
• Leverage AI in content analysis, editing and production workstreams to improve efficiency and output

Qualifications

• 4+ years of professional experience in SEO, digital marketing, or content strategy, with a focus on content optimization and/or content development
• Understands how content is rewarded in both LLMs and modern-day search ranking algorithms (this position is not about traditional SEO keyword optimization)
• Familiarity with current GEO concepts and the role of LLMs in search
• Working knowledge of SEO/AI Search platforms such as SEMRush, BrightEdge, Ahrefs, Profound, and Google Search Console.
• Proficiency in data analysis and insights gathering for content output and performance tracking
• Strong communication skills, with the ability to articulate content requirements and results clearly
• Experience using Adobe Experience Manager (AEM) or a similar enterprise-level CMS.
• Background in the Identity and Access Management (IAM), B2B marketing, SAAS, or the cybersecurity domain is preferred, but not required.

#LI - Hybrid

#P24088_3363970

• Work alongside the sales team as the technical and domain expert of a customer-facing sales team to help Customers understand the value of Okta’s solutions
• Understand customer challenges and business issues and provide product demonstrations to align our solutions with customer needs
• Answer product feature and technical questions from customers, partners and Okta colleagues
• Plan and deliver Proof Of Concepts for customers who have more complex use cases, collaborating with other Okta engineering teams as needed
• Provide feedback to product management about product enhancements that can address customer needs and provide additional value
• Share and learn best practices and re-usable assets with other Solutions Engineers to enhance the quality and efficiency of the team
• Stay current on competitive analysis and market differentiation
• Support marketing events including executive briefings, conferences, user groups, and trade shows
• At times, be asked to learn and lead your team as a subject matter expert (SME) with various product solutions and/or competitive knowledge

• Identity and Access Management (IAM) Expertise:
  • 5+ years of pre-sales engineering experience in IAM.
  • Strong understanding of IAM concepts, including OAuth 2.0, OIDC, and SAML.
  • Experience with lifecycle management, role-based access control (RBAC), and provisioning/deprovisioning.
• Technical Proficiency:
  • Hands-on experience in one or more of the following development areas: web (JavaScript, HTML, frontend frameworks), mobile (iOS, Android), backend (Java, C#, Node.js, Python, PHP, Ruby), or IP-based real-time communications.
  • Experience working with REST APIs, API Gateways, and SDKs.
  • Deployed applications on cloud platforms (AWS, Azure, GCP, Vercel, etc.).
  • Understanding of core security concerns in applications (password hashing, SSL/TLS, encryption at rest, XSS, XSRF).
• Customer Engagement & Communication:
  • Passion for serving customers, demonstrated in a customer-facing role (ideally pre-sales, but consulting or support also valued).
  • Ability to quickly communicate complex technical ideas, including on-the-fly whiteboard explanations.
  • Elite communication skills, confident in dispensing knowledge and presenting to highly skilled and experienced audiences.
• Strategic & Organizational Skills:
  • Territory management skills, including pipeline building and collaboration with sales counterparts for execution excellence.
  • Diagramming experience for user journey flows, complex architecture diagrams, etc.
• Education & Travel:
  • Bachelor's degree in Engineering, Computer Science, MIS, or a comparable field is preferred.
  • Typically 25% travel.

• Experience with Auth0, Auth0 FGA, or OpenFGA.
• Hands-on experience with Generative AI or LLM technology (LangChain, GenKit, LlamaIndex, etc.).
• Experience integrating with microservices, data lakes, or customer data platforms.
• Developed ReBAC or Fine-Grained Authorization models.

LI#LS

P13976_3382181

The Global Data & Insights Team

Okta's Enterprise Data & Insights team powers the data infrastructure that drives decision-making across the company by building reliable pipelines, scalable data platforms, and production-grade data products. We partner closely with internal Data and Insights Analysts as well as external Okta Product teams to unlock business value through robust data architecture, efficient data movement, and the engineering foundations that make data trustworthy at scale.    

The Senior Analytics Engineer, Marketing Opportunity

We are seeking a Senior Analytics Engineer to serve as the technical architect of our marketing data engine. You will own our marketing attribution logic and end-to-end funnel performance data, evolving our current processes into an enterprise-grade ecosystem. Your mission is to uncover the high-fidelity signals that drive new customer acquisition and maximize expansion within our existing base. You’ll tackle a sophisticated roadmap of advanced analytics, transforming raw touchpoints into a trusted, scalable framework for growth.

This role sits at the intersection of business context and technical execution. You will design scalable data models, define consistent business logic, and help establish a strong semantic foundation that enables both human analytics and machine-driven intelligence.

You will partner closely with Marketing stakeholders, Data Analysts, Data Scientists, and Data Engineers to ensure data is accurate, consistent, and easy to consume; whether through dashboards, self-service exploration, or AI-powered workflows.

What you’ll be doing

Data Modeling & Semantics

• Design, build, and maintain scalable data models using dbt and Snowflake
• Define and standardize core Marketing metrics (e.g., pipeline, campaign performance, attribution, conversion rates)
• Establish consistent modeling patterns, naming conventions, and semantic clarity across datasets
• Contribute to a shared semantic layer that enables consistent reporting across channels and tools

AI-Ready Data & Snowflake Ecosystem

• Prepare high-quality, well-governed datasets for use with Snowflake Cortex and Snowflake Intelligence
• Enable data foundations that support LLM-powered use cases such as campaign insights, segmentation, and performance optimization
• Ensure data is context-rich, well-documented, and aligned with business meaning to improve AI accuracy and usability

Data Quality, Governance & Trust

• Implement robust testing, validation, and documentation practices in dbt
• Ensure consistency across dashboards and marketing tools through shared definitions and reusable models
• Apply data governance best practices, including access controls, lineage, and auditability
• Partner across teams to establish clear ownership of marketing data assets and definitions

Collaboration & Delivery

• Partner with Marketing, Customer First, and Analytics teams to translate business needs into scalable data solutions
• Support self-service analytics by building intuitive, reusable datasets across channels (e.g., digital, lifecycle, events)
• Contribute to scalable data workflows that balance immediate campaign needs with long-term maintainability
• Work within an agile environment, contributing to planning, prioritization, and continuous improvement

AI and Data Mindset

• Demonstrate an AI-first mindset, thinking beyond data models and dashboards to how data can power intelligent systems and decision-making
• Understand the importance of well-modeled, well-documented, and semantically clear data for AI and LLM-based use cases
• A level of comfort leveraging AI-assisted workflows to improve productivity, code quality, and consistency
• Curiosity for emerging capabilities in platforms like Snowflake Cortex and Snowflake Intelligence, and how they can be applied to Marketing analytics

What you’ll bring to the role

• 5–8+ years of experience in Analytics Engineering, Data Engineering, or similar roles
• Strong SQL skills and experience building analytics-ready data models
• Mentorship & Engineering Excellence: Mentorship, raising the technical bar, establishing organization-wide standards for dbt/SQL quality and CI/CD
• Hands-on experience with dbt and Snowflake or other ETL, Modeling and database platforms
• Solid understanding of data modeling principles, including dimensional modeling and semantic design
• Experience working with Marketing data (e.g., campaign data, web analytics, CRM, attribution models)
• Familiarity with tools such as Salesforce, Marketo, Google Analytics, or similar platforms
• Experience with data quality, testing, and documentation best practices
• Exposure to Python, R, or data processing frameworks (e.g., PySpark) is a plus
• Experience with BI tools such as Tableau or Looker
• Strong communication skills and ability to work across technical and business teams

What you can look forward to as an Okta employee!

• Amazing Benefits
• Making Social Impact
• Fostering Diversity, Equity, Inclusion and Belonging at Okta 
• Okta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/.

Okta is an Equal Opportunity Employer/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to participate in the job application or interview process, please use this Form to request an accommodation.

Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy at https://www.okta.com/privacy-policy/. 

Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/.

Okta is an Equal Opportunity Employer/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to participate in the job application or interview process, please use this Form to request an accommodation.

Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy at https://www.okta.com/privacy-policy/.

#LI-HM2

#LI-Hybrid

P24712_3413650

P24715_3413656

Lyra Tech Group is looking for a Forward Deployed AI Engineer to work directly inside our clients' businesses — rolling up your sleeves to design, build, and deploy AI-powered solutions that create real operational impact. You won't be sitting behind a desk writing specs; you'll be on-site at small and mid-size businesses diagnosing inefficiencies, earning stakeholder trust, and shipping production-grade AI agents, automated workflows, and engineering solutions that change how these organizations run. This is a hands-on, client-facing engineering role built for someone who is as comfortable presenting to a business owner as they are writing Python.

Your work as a Forward Deployment AI Engineer will include several components:  

•    Client Acquisition & Relationship Management: Identify, engage, and secure new business opportunities through
•    Embed directly with clients to discover operational pain points, map workflows, and identify high-ROI opportunities for AI and automation
•    Design and build AI agents using frameworks such as LangChain, LangGraph, AutoGen, or similar — including tool-use, memory, and multi-agent orchestration patterns
•    Develop AI-powered workflows that integrate with clients' existing systems (CRMs, ERPs, cloud platforms, communication tools, etc.)
•    Engineer automation solutions across areas such as document processing, data extraction, reporting, customer communication, and internal operations
•    Own the full delivery lifecycle — from scoping and architecture to build, testing, handoff, and lightweight documentation
•    Train and enable client teams to maintain and iterate on solutions post-deployment
•    Serve as a trusted technical advisor, translating complex AI capabilities into clear business value for non-technical stakeholders
•    Contribute internally by codifying reusable components, playbooks, and delivery templates that scale across the practice

Our ideal Forward Deployment AI Engineer has the following qualifications:

•    Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field
•    Must be legally authorized to work in the United States without employer sponsorship 
•    2+ years of professional experience in software engineering, AI/ML engineering, or a technical consulting role
•    Working proficiency in Python and familiarity with REST APIs and cloud services
•    Hands-on experience building with LLM APIs (OpenAI, Anthropic, Gemini, or similar)
•    Understanding of prompt engineering, RAG (Retrieval-Augmented Generation), and agentic workflow patterns
•    Ability to work independently in ambiguous, fast-moving client environments
•    Strong communication skills — you can explain a vector database to a CFO without losing them
•    Willingness to travel regularly to client sites in the Chicagoland area (estimated 40–60%) 

Preferred
•    Experience with workflow automation platforms (Zapier, Make, n8n, or similar)
•    Familiarity with vector databases (Pinecone, Weaviate, Chroma) and embedding pipelines
•    Exposure to low-code/no-code tools alongside custom-code solutions
•    Prior client-facing, consulting, or forward-deployed engineering experience
•    Experience working with SMB clients across industries such as professional services, healthcare, logistics, or retail

Who Thrives in This Role
You're a builder who gets energy from solving real problems for real people. You're not waiting for perfect requirements — you ask good questions, form a hypothesis, and get something in front of stakeholders fast. You're comfortable being the most technical person in the room for one hour and a junior learner the next. You care about the outcome, not just the code.

The targeted salary for this role is $120,000-$150,000 per year and will operate out of the Naperville office on a hybrid basis.

Lyra Tech Group is an equal opportunity employer. We celebrate diverse perspectives and are committed to building an inclusive team.

Position Overview:

As the Director of Monetization Strategy, you will be the primary architect of Iterable’s economic engine. You aren't just managing a price list; you are defining how we capture value in a rapidly evolving MarTech ecosystem. You will sit at the intersection of Product, Sales, Finance, and Marketing to design and execute pricing and packaging strategies that drive sustainable growth, expand Net Revenue Retention (NRR), and align our success with our customers' success.

Responsibilities:

• • Strategic Vision: Lead the long-term monetization roadmap. You’ll evolve our current models from usage-based pricing toward value-based frameworks that reflect the power of our AI-driven orchestration.
  • Cross-Functional Leadership: Act as the "connective tissue" between Product (to price new features, and ensure our roadmap is optimized for capturing value), Marketing (to position value), and Sales (to ensure deal velocity).
  • Market Intelligence: Conduct deep-dive competitive analysis and buyer research to identify gaps in our current monetization strategy and capitalize on emerging market trends.
  • Packaging & Tiering: Design and optimize product bundles and editions that simplify the buying process for mid-market and enterprise customers alike.
  • Operational Excellence: Partner with RevOps to implement pricing changes within our systems (CPQ, billing) and develop the discounting frameworks and "guardrails" for the field.
  • Change Management: Lead the internal enablement for global sales teams, ensuring they can confidently articulate the "why" behind our pricing.

Qualifications:

• You have 10+ years of experience in SaaS monetization, management consulting, or strategic finance. You think in systems and understand the downstream impacts of a single pricing lever.
• You have direct experience in SaaS monetization, with a particular focus on monetizing AI
• You are comfortable navigating complex datasets to find the "signal" in the noise. You use data to prove your hypotheses about price elasticity and expansion paths.
• You can distill complex economic theories into simple, persuasive narratives for the Executive Leadership Team (ELT).
• You don't just want a seat at the table; you want to build the table. You enjoy creating processes where none existed.

Bonus Points

• Experience building and productionizing LLM based, agentic or autonomous systems that handle complex orchestration and evaluation.
• Experience establishing shared AI platforms or internal developer enablement capabilities
• Familiarity with analytics systems, experimentation workflows, or decisioning frameworks

Perks & Benefits:

• Paid parental leave
• Competitive salaries, meaningful equity, & 401(k) plan
• Medical, dental, vision, & life insurance
• Balance Days (additional paid holidays)
• Fertility & Adoption Assistance
• Paid Sabbatical
• Flexible PTO
• Monthly Employee Wellness allowance 
• Monthly Professional Development allowance 
• Pre-tax commuter benefits
• Complete laptop workstation

The US base salary range for this position at the start of employment is $172,000 - $260,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

EverPass Media delivers premium live sports content to commercial businesses across the U.S., helping bars, restaurants, and venues create better fan experiences. As we scale, delivering a seamless customer experience - from onboarding to ongoing support - is critical to our success. 

Role Overview 

EverPass is hiring an AI & Knowledge Manager to help build, launch, and continuously improve our AI-assisted customer support experience. This role will initially focus on using AI to support SMS/chat deflection for high-volume troubleshooting and setup contacts, especially during peak live-event periods, while also owning the knowledge structure that powers both AI and human support.  

This is a hands-on operational role responsible for configuring AI support workflows, maintaining accurate and usable knowledge content, monitoring performance, identifying failure points, and partnering cross-functionally to improve support scalability and customer experience. 

Key Responsibilities 

AI support automation 

• Configure, test, launch, and optimize AI-assisted support experiences, with initial focus on SMS/chat.
• Build and maintain intents, flows, prompts, response frameworks, fallback paths, and escalation logic.
• Partner with vendors and internal teams to ensure AI workflows reflect approved product, support, billing, hardware, and troubleshooting processes.
• Identify high-volume, repeatable contact drivers that are strong candidates for automation. 
• Monitor AI performance and make ongoing improvements based on real customer interactions.

Knowledge management 

• Own the structure, organization, and quality of the customer operations knowledge base.
• Translate product, setup, billing, troubleshooting, hardware, and support processes into clear, usable content.
• Establish knowledge governance, including content ownership, review cadence, update triggers, taxonomy, tagging, and approval workflows.
• Ensure AI and human support teams are working from accurate, current, and consistent information.
• Partner with Product and Support to keep knowledge aligned with product changes, launches, policies, and known issues.

Live-event readiness 

• Build AI and knowledge readiness plans for major live events.
• Prepare event-specific troubleshooting content, escalation paths, and known-issue workflows.
• Review AI and support performance after major events to identify gaps and improvements.
• Ensure customer-facing AI responses are accurate, clear, and appropriate during high-pressure support windows.

Quality and continuous improvement 

• Review AI conversations and support interactions to identify knowledge gaps, failed intents, unclear responses, and escalation issues.
• Refine AI behavior using real customer data and frontline feedback.
• Partner with Customer Support to improve answer quality, handoff quality, and resolution consistency.
• Balance automation with human support to protect customer experience.

Reporting and performance tracking 

• Track and report AI and knowledge performance metrics, including containment, resolution rate, escalation rate, fallback rate, repeat contact rate, CSAT, and knowledge effectiveness.
• Build practical reporting that helps prioritize improvements.
• Provide recommendations on where automation should expand, where it should pause, and where human support is still required.

Qualifications 

• 4-7 years of experience in Customer Experience, Support Operations, Knowledge Management, Support Automation, or related roles.
• Experience configuring or managing chatbots, AI support tools, automation workflows, or customer self-service platforms. 
• Experience building or maintaining a knowledge base.  
• Strong writing skills with the ability to turn complex processes into clear customer-facing and agent-facing content.
• Analytical mindset with experience using performance data to improve operations.  
• Strong cross-functional collaboration skills.
• Comfort working in a fast-moving environment where processes and ownership may still be maturing.

Preferred Qualifications  

• Experience with SMS, chat, or conversational support channels.
• Experience with AI support tools, virtual agents, LLM-based workflows, or prompt design.
• Experience with troubleshooting, hardware, streaming, SaaS, media, hospitality, or subscription-based support.
• Experience with Zendesk, Salesforce, Aircall, Lorikeet, or similar CX platforms.
• Experience preparing support operations for seasonal spikes, launches, or live-event volume. 

What Success Looks Like 

• Phase-one AI support launches before the target seasonal deadline with controlled scope and clear guardrails. 
• SMS/chat AI successfully deflects or resolves a meaningful share of repeatable troubleshooting/setup contacts.
• Customers receive accurate, fast, and clear answers without unnecessary escalation.
• Human support teams trust the knowledge base and use it consistently.
• Product/process changes are reflected quickly in AI and knowledge content. 
• AI performance improves over time through conversation review, reporting, and continuous optimization.
• Live-event support readiness improves through better content, workflows, and escalation paths 

Expected Compensation: The anticipated base salary range for a new hire into this position is $80,000 - $90,000 + bonus. In compliance with local law, the range above reflects the current hiring range for this position. EverPass takes into consideration the qualifications, skills, and experience of the candidate, expected quality and quantity of work, and internal pay alignment when determining the salary level for potential new employees. EverPass expects to hire for this position at the mid-range salary, with the possibility of considering a higher salary only in rare cases when EverPass determines an external candidate possesses exceptional qualifications significantly exceeding the job requirements.

About Us:

EverPass Media is a comprehensive media platform dedicated to commercial businesses, that aggregates, distributes and enables streaming of live sports and entertainment content, and offers a wide array of consumer engagement and performance marketing tools for bars, restaurants, hotels and other commercial venues. Launched initially as the exclusive distributor of NFL Sunday Ticket to commercial establishments in the United States, EverPass partners with rightsholders, distribution partners and business owners to unlock greater access to premium live events and drive business growth. EverPass was founded in 2023 in partnership with RedBird Capital Partners and 32 Equity, the strategic investment arm of the National Football League. TKO Group Holdings, parent company of UFC and WWE, joined as an investor in 2024.

Benefits and Perks: 

• Competitive Compensation 
• Medical, dental, vision, life, and long-term and short-term disability insurance
• Professional Development Programs
• Access to senior management and mentoring opportunities
• Employee Recognition Program
• Unlimited PTO
• Paid Parental Leave
• Mental Health and Recharge Days 
• 401k Match
• Pre-tax Transportation
• Employee Assistance Program
• Type of work: Hybrid
• In-person and Virtual Social Events including: Team Wins and Highlights from the Month, Cultural and Diversity Spotlights, and Happy Hours

This is a chance for you to join a challenging and inspiring environment where you will have the possibility to make a daily impact. Every day you will work alongside helpful and down-to-earth colleagues who are dedicated and ambitious. Together we create an innovative environment that drives EverPass forward. If you are the right person for the role, you will be part of a fantastic journey in a dynamic, high-growth business. We look forward to your application.

EverPass is an equal opportunity workplace and an affirmative-action employer. 

We are always committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Discrimination is not welcome on the basis of any other status protected by the laws or regulations in the locations where we work.

Project Overview

This is a cutting-edge initiative to integrate Large Language Models (LLMs) with WorldQuant's proprietary strategy management tools. The project aims to provide AI-assisted insights, automate routine analytical tasks, and enable natural language interactions for Portfolio Managers to more efficiently analyze, maintain, and enhance their trading strategies. This involves building foundational infrastructure, developing robust data pipelines for metrics and features, and creating a secure, user-centric interface with a strong focus on protecting intellectual property.

The Role:

We are seeking a talented and motivated Full-Time Software Engineer to play a key role in the development and enhancement of this AI-driven platform. You will be responsible for designing, building, and maintaining critical components of the system, primarily focusing on the Model Context Protocol (MCP) servers that form the backbone of the platform. This includes enhancing existing MCPs, such as our proprietary command-line interface for strategy data, developing new MCPs for internal data system integration, strategy analysis, and performance metrics, and contributing to the secure and effective use of LLMs.

Key Responsibilities

• Design, develop, test, and deploy robust and scalable MCP servers and related tools in Python.
• Enhance existing MCPs, including our internal data access tools, to ensure reliable access to strategy metadata, historical PnL data, and PnL attribution by risk factors.
• Develop new MCPs, including but not limited to MCPs for direct data system integration, MCPs for strategy analytics, and MCPs for performance reporting.
• Design and implement secure prompt engineering techniques to interact with LLMs, ensuring effective information retrieval while minimizing the risk of intellectual property leakage.
• Collaborate with project managers, technical leads, and other developers to define technical specifications and integrate various data sources.
• Work on API development and integration, ensuring seamless data flow between different systems (internal knowledge management systems, simulation systems, data warehouses).
• Implement data parsing and manipulation logic for various formats (JSON, CSV).
• Contribute to the design and implementation of data pipelines for strategy metrics and features.
• Address and resolve bugs and issues in existing MCP tools and infrastructure.
• Participate in code reviews, and contribute to unit and integration testing efforts.
• Create and maintain technical documentation for developed components.
• Stay updated with emerging technologies and methodologies in AI, LLMs, prompt engineering, and financial technology.

What You’ll Bring:

Core Skills:

• Strong proficiency in Python programming.
• Proven experience in API development, integration, and consumption.
• Solid understanding of database interaction, data access patterns, and data modeling.
• Experience with data parsing and manipulation libraries and techniques (e.g., pandas, JSON, CSV).
• Understanding of or experience with prompt engineering principles for Large Language Models
• Awareness of data security and intellectual property protection considerations in the context of AI and LLM applications

Domain-Specific Knowledge (Highly Beneficial):

• Familiarity with financial data (e.g., PnL, Sharpe ratio, alpha, risk factors, AUM).
• Experience with quantitative trading systems, market data systems, or strategy management platforms (familiarity with internal data systems or command-line data tools is a significant plus).

Technical Environment Familiarity (Helpful):

• Experience working in a Linux environment.
• Understanding of Command Line Interface (CLI) tools and development.
• Familiarity with version control systems (e.g., Git).

Soft Skills

• Excellent problem-solving and analytical skills.
• Strong collaboration and communication skills, with the ability to work effectively in a team.
• High attention to detail and commitment to delivering high-quality software.
• Ability to learn quickly and adapt to new technologies and complex systems.

Education

• Bachelor's or Master's degree in Computer Science, Engineering

WHO WE ARE:  

Aviatrix® is pioneering the Cloud Native Security Fabric — the architecture the Containment Era requires. The Cloud Native Security Fabric governs every workload communication path across every cloud, every VPC, every Kubernetes cluster, and every serverless function, from a single policy plane. One rule. Universal propagation. Enforced at the workload, not at a chokepoint. Trusted by more than 500 of the world's leading enterprises. For more information, visit aviatrix.ai. 

ABOUT THE ROLE:

We are looking for a seasoned Senior DevOps Engineer to join our team and take ownership of our CI/CD ecosystem, cloud infrastructure automation, and developer platform. This is a journey-level, fully qualified position where you will independently design and drive solutions across complex, diverse projects — bringing both technical depth and collaborative leadership to everything you do.

You will work at the intersection of infrastructure engineering, AI-driven tooling, and modern cloud operations, partnering closely with development and TechOps teams to accelerate delivery cycles and ensure the reliability, security, and scalability of our systems.

Key Responsibilities:

• Design, implement, and maintain robust, scalable CI/CD pipelines across multiple environments, applying industry best practices to optimize delivery speed and system reliability.
• Automate the provisioning and lifecycle management of cloud resources (VMs, EC2, and more) using Infrastructure as Code — with Terraform as the primary tool — ensuring consistent, repeatable, and auditable deployments.
• Manage and optimize cloud networking configurations, supporting complex developer workflows and infrastructure scalability requirements.
• Integrate AI and large language model (LLM) capabilities into DevOps tooling and developer workflows, including leveraging Model Context Protocol (MCP) for intelligent automation and context-aware pipeline tooling.
• Collaborate with engineering and operations teams to identify bottlenecks, reduce toil, and continuously improve the release process.
• Apply security best practices to deployment pipelines and cloud infrastructure, proactively identifying and remediating vulnerabilities.
• Monitor, observe, and optimize infrastructure performance, taking initiative to resolve complex issues before they impact customers.
• Evaluate emerging tools and technologies — particularly in the AI/LLM space — and provide guidance on how to incorporate them effectively into organization workflows.
• Communicate technical strategies and recommendations clearly to senior internal and external stakeholders, adapting your approach to diverse audiences and often driving alignment on difficult decisions.

Qualifications:

• 5+ years of related DevOps/infrastructure engineering experience (or 3 years with a Master’s degree or equivalent experience).
• Deep, hands-on expertise with Terraform for infrastructure as code — this is a must-have.
• Hands-on, production-level experience building and deploying AI/LLM-integrated systems — this is a must-have. You have worked directly with large language model APIs, designed AI-assisted workflows, and shipped real tooling powered by LLMs in an engineering or DevOps context.
• Hands-on, production-level experience with Model Context Protocol (MCP) — this is a must-have. You have implemented MCP-based integrations to build intelligent, context-aware developer tools, automation pipelines, or agent workflows, not just read about it.
• Strong command of CI/CD platforms (e.g., GitHub Actions, GitLab CI, Jenkins, CircleCI, or similar).
• Experience provisioning and managing cloud infrastructure on AWS, GCP, or Azure (EC2, VMs, VPCs, IAM, etc.).
• Solid understanding of cloud networking concepts (VPCs, subnets, security groups, load balancers, DNS).
• Demonstrated ability to work independently, resolve ambiguous and complex problems, and deliver high-quality solutions with minimal supervision.

Preferred:

• Experience with Kubernetes, Helm, or container orchestration platforms.
• Familiarity with GitOps workflows (e.g., ArgoCD, Flux).
• Scripting proficiency in Python, Bash, or Go.
• Knowledge of observability tooling (Datadog, Prometheus/Grafana, OpenTelemetry).
• Experience building internal developer platforms (IDPs).

US Pay Range:

The US National annual base salary range for this full-time position is $131,500-$154,700 + benefits + 401(k) match + equity. The pay range is determined by the role, work location, job-related skills, level, experience and relevant education. [Certain roles are eligible to earn sales commission, depending on the terms of the applicable plan.] The range displayed is the minimum and maximum target base salary and is applicable only for new hires for the listed position located in the US. Your Talent Advisor can share more details regarding salary ranges, benefits, and equity for your location during the hiring process.

Please note: This position is not eligible for immigration sponsorship. 

Company Overview

We are the better way to work in finance. As private equity’s value creation partner, we sit at the heart of PE—where sponsors and CFOs meet. Through financial consulting rooted in data, technology, and AI, we help clients drive value—supporting the office of the CFO to drive end-to-end value creation.

If you crave challenging work and are looking to grow, come solve complex issues alongside 1,600+ finance & technology experts in a supportive, collaborative environment.

Backed by premier private equity firms and headquartered in New York with 11 offices around the globe, we are a high-growth, entrepreneurial firm looking for people who want to be part of building something great. Come make your mark.

Principal Quality Automation Architect

The Principal Quality Automation Architect designs and scales Accordion's automated quality framework across products, services, and AI-enabled workflows. This impactful role will be critical in owning the architecture behind automated validation, test harnesses, evaluation pipelines, test data strategy, and cross-pod tooling standards.

This position will ideally be based in one of our US offices and is a hybrid role with the flexibility to work remotely 2 days per week (also eligible for remote candidates).

This position is not eligible for immigration sponsorship.

What You’ll Do:

Automation Architecture

• Design and implement the core automation framework for functional, API, integration, regression, and workflow testing
• Define standards for reusable test assets, environment usage, data setup, and evidence capture
• Create scalable approaches to testing complex, multi-system workflows

AI Evaluation Infrastructure

• Build and maintain regression harnesses for AI-enabled features, including prompt and workflow comparisons, scored evaluation runs, and benchmark execution
• Partner with AI quality analysts to support rubric-based testing and measurable release criteria

Test Data & Environment Strategy

• Define approaches for test data, synthetic data, masked data, and scenario generation
• Improve reliability and repeatability of validation environments

Engineering Partnership

• Work closely with software engineers to improve testability, observability, CI/CD integration, and defect prevention
• Help pods move quality checks earlier in the development lifecycle

You Have:

• 7+ years of experience in QA automation, SDET, or quality engineering roles, with a focus on scale, repeatability, and leverage
• Strong experience with test automation frameworks, API testing, CI/CD, and integration validation – you are systems-minded and deeply technical
• Strong scripting or coding skills
• Experience working with data-intensive or workflow-heavy applications
• Exposure to AI or LLM validation tooling or strong interest in building in that space
• Ability to design frameworks, not just individual tests, and comfortability setting standards that others adopt
• Commitment to balancing sophistication with delivery pace
• Bachelor's degree preferred

You Are:

• Excited to be part of a growing team, with a focus on driving future growth
• Passionate about delivering exceptional client service
• Knowledgeable about the relationship between Private Equity sponsors and their portfolio companies, particularly within the office of the CFO
• Willing to get your hands dirty in the details of a project while simultaneously seeing the whole picture
• Comfortable managing projects with multiple complex workstreams while also focused on your single workstream (you are managing and doing)
• A self-starter with a strong work ethic
• Full of entrepreneurial spirit and comfortable in a fluid, flat organization
• Able to effectively communicate complex issues and solutions, and raise issues to senior team members when necessary
• A team player, able to work with team members across all levels
• Someone who enjoys mentoring others and doing meaningful work
• A leader of others; you lead by example

The annual salary for this role ranges from: $150,000 to $190,000 + benefits + bonus.

Actual compensation packages are determined by evaluating a wide array of factors unique to each candidate, including but not limited to geographic location, skill set, years and depth of experience, education, certifications, cost of labor and internal equity.

Accordion is an Equal Opportunity Employer. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills.  We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical​​​ condition, pregnancy, genetic information, gender, sexual orientation, gender identity or ​expression, veteran status, or any other status protected under federal, state, or local law.

Please note that as per Accordion policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening and in alignment with our inclusive diversity values. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that Accordion will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.

#LI-HA1

You love the story that data can tell. We are looking for an experienced Product Analyst who balances technical excellence with strong product intuition. You’ll be responsible for the full spectrum of data storytelling—from overseeing data ingestion and refining semantic models to providing deep-dive quantitative analysis on feature engagement, adoption funnels, and business impact.

You will deliver insights through concise dashboards, detailed reports, and emerging conversational interfaces. This is a high-impact role where you will partner directly with Product leaders and Engineers to influence the direction of our platform, transforming raw event data into the insights that fuel our next phase of scale.

WHAT YOU’LL DO:

• Drive Insight Strategy: Proactively identify the reports, dashboards, and deep-dive analyses required to move the needle on product goals
• Build & Scale: Design and implement robust data models and visualizations that serve as the "source of truth" for the Product organization
• Analyze at Scale: Navigate and extract meaning from billions of mobile and digital messaging data points
• Full-Stack Analysis: Get "in the weeds" to pull, clean, and transform raw data into sophisticated findings, ensuring data integrity at every step
• Influence Roadmap: Present findings to Product and Engineering leadership to directly inform feature prioritization and strategy

WHO YOU ARE:

• Experienced: 5+ years in BI, Data Analysis, and Data Modeling, ideally within a B2B SaaS or high-growth tech environment
• SQL Expert: 5+ years of experience writing complex, performant queries
• Technical: Proficient in programming or scripting languages (Python or R) for data manipulation and analysis
• Visual Storyteller: Expert-level experience with modern visualization tools (e.g., Looker, Tableau, Databricks)
• Scientifically Minded: BA/BS in Statistics, Math, Economics, Computer Science, or a related technical discipline; firm grasp of advanced statistical techniques
• Curious & Autonomous: A fast learner and self-starter who doesn't wait for a ticket to find an answer

Ideally, you'll have: 

• Modern Data Stack Flow: Experience with dbt, Airflow, or modern cloud warehouses (Snowflake/BigQuery)
• NoSQL Familiarity: Experience querying NoSQL databases like MongoDB or Redis
• AI/LLM Interest: Experience using Claude Code, GitHub Copilot, or other LLM harnesses to accelerate development and insight generation
• Cross-Functional Leadership: A proven track record of working across departments to align data strategy with business needs

For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $90,000 and $135,000/year with an expected On Target Earnings (OTE) between $104,000 and $156,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company.

We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas or take over sponsorship at this time. 

About the Role:

As a Digital Performance Specialist, problem-solving, self-directing, and action-oriented thinkers are required. You will be responsible for improving website performance by monitoring key conversion funnels, managing our website analytics tracking and tag management, creating reporting in Adobe Analytics and other tracking tools, running conversion optimization tests, maintaining our marketing website content and executing SEO/AEO tactics. The role will be focused on supporting our CashNetUSA brand and does not include direct supervisory responsibilities. 

If you’re looking to join a leading Chicago fintech with a data-driven, test-and-learn culture, this could be the perfect role for you. We’re looking for someone ready to turn insights into impact for the CashNetUSA brand.

Responsibilities:

• Monitor, assess, and report on website and funnel performance. Provide weekly reporting updates and data-driven recommendations to marketing leadership and other key executives.
• Stay at the forefront of the evolving search and LLM landscapes by integrating AEO strategies into the overarching digital roadmap.
• Analyze visitor segments and traffic trends for optimization and content opportunities. 
• Work with our internal creative team to manage and maintain our marketing website.
• Create and maintain Adobe Analytics reporting for the marketing team and help the marketing team investigate and troubleshoot conversion issues. 
• Partner with cross-functional teams to test UI and UX enhancements to improve the customer application flow.
• Develop and optimize landing pages and conversion funnel A/B tests to increase conversion rates. 
• Manage implementation of SEO initiatives (manage agency partnerships, work with internal creative teams to optimize website, track rankings and performance, etc.).

Requirements:

• 5+ years of experience in digital marketing, UX, marketing analytics, SEO, or related fields. 
• Have strong web analytics skills with extensive experience using Google Analytics, Adobe Analytics, Hotjar, Ahrefs, Semrush or similar web analytics tools. 
• Have experience managing implementation and administration of Google Analytics, Adobe Analytics or similar web analytics tools. 
• Have experience with website and tag management (Google Tag Manager, Adobe Launch, etc.), and basic HTML knowledge (CSS and other coding is a plus) 
• Have experience designing and running A/B tests through tools such as Optimizely or Adobe Target.
• Basic understanding of SEO strategy and HTML. 
• Strong analytical and technical skills with experience in data analysis and visualization tools; SQL preferred. 
• Excellent project management, communication, and collaboration skills, with a creative and problem-solving mindset.

Compensation

• Marketing Associate: $68,500-$99,000
• Senior Marketing Associate: $75,600-$109,200

Company Overview

We are the better way to work in finance. As private equity’s value creation partner, we sit at the heart of PE—where sponsors and CFOs meet. Through financial consulting rooted in data, technology, and AI, we help clients drive value—supporting the office of the CFO to drive end-to-end value creation.

If you crave challenging work and are looking to grow, come solve complex issues alongside 1,600+ finance & technology experts in a supportive, collaborative environment.

Backed by premier private equity firms and headquartered in New York with 11 offices around the globe, we are a high-growth, entrepreneurial firm looking for people who want to be part of building something great. Come make your mark. 

Data & Analytics

Accordion's Data & Analytics (D&A) team offers cutting-edge, intelligent solutions to a global clientele, leveraging a blend of domain knowledge, sophisticated technology tools, and deep analytics capabilities to tackle complex business challenges.

We partner with Private Equity clients and their Portfolio Companies across diverse sectors, including Retail, CPG, Healthcare, Media & Entertainment, Technology, and Logistics.

This role can be based in any of our US office locations and is a hybrid role with the flexibility to work remotely 2 days a week. Ideal candidates should be local to the desired location.

This position is not eligible for immigration sponsorship.

Accordion Intelligence Lab

The AI Lab is composed of leading software and AI engineers, designing agentic-AI solutions ahead of the market. Our group builds and operationalizes the AI systems that power Accordion’s consulting capabilities, from agentic architectures and RAG pipelines to evaluation frameworks and production observability.

The Lab works closely with practice leaders to translate research findings into scalable, reliable tools that advance Accordion’s AI-driven value creation work for PE clients and their portfolio companies.

About the Role

We’re looking for experienced AI Engineers to join new AI-augmented delivery pods: purpose-built teams that combine AI engineering, data science, and product management to transform how PE-backed companies run finance and operations.

In this role, you will design and build the AI systems that power client engagements: agentic workflows, RAG pipelines, evaluation frameworks, and production-grade tools that operate in real PE environments. You’ll work directly with clients and cross-functional pod teammates from day one, and you will be expected to ship fast, defend your decisions, and continuously raise the bar on what AI-assisted delivery looks like.

This is a highly technical, hands-on role. We move at sprint pace—not quarter pace. If you want to move quickly, own outcomes end-to-end, and build things that matter in finance, this is the role.

What You’ll Do

• Design and build multi-agent systems and RAG pipelines that automate financial workflows for PE-backed portfolio companies
• Own the full stack from prompt engineering and tool design through deployment and monitoring
• Practice eval-driven development: define how success is measured before you build
• Translate ambiguous client problems into engineering requirements and deliver results in compressed timeframes
• Present and defend architectural decisions to technical and non-technical audiences—including CFOs and PE operators
• Build observability and evaluation infrastructure to continuously improve production AI system quality
• Travel to client site as needed

Success in the First 6 Months

• Work with like-mined AI engineers to ship at least one end-to-end agentic solution in a client engagement, from scoping through production
• Establish evaluation infrastructure for your pod’s systems so that quality is measurable and regressions are caught early
• Demonstrate materially faster delivery cycles because of how you use AI tools—not just that you use them
• Build a reputation within the pod and with clients as someone who can be handed a hard problem and trusted to return a working, defensible solution

What You’ll Bring

• AI tools are woven into how you work daily—you are materially faster because of it, and you can demonstrate that concretely
• 3–8+ years of software engineering experience with a notable portion in AI/ML systems, agent development, or applied LLM engineering
• Hands-on experience building production LLM applications: RAG systems, agentic workflows, tool use, multi-agent orchestration
• Proficiency in Python; experience with LangChain, LangGraph, AutoGen, DSPy, or equivalent orchestration frameworks
• Strong grasp of evaluation methodologies: designing evals, catching regressions, assessing LLM output quality
• Solid data engineering fundamentals: ETL design, SQL/NoSQL, vector databases, streaming or batch pipelines

Nice to Have

• Open-source contributions in the AI/ML space
• Finance or PE domain experience: FP&A, GL data, ERP systems (NetSuite, SAP), or financial workflow automation
• Experience building tools for reuse across multiple clients or in multi-tenant architectures
• Prior experience in consulting, professional services, or client-facing delivery environments

This is a high-velocity environment. Sprints are short, client expectations are high, and we don’t slow down between engagements. If you’ve spent time in large enterprise engineering organizations where velocity is constrained by process, this will feel different.

The people who thrive here are those who find the pace energizing, not exhausting. They ship fast because they’ve internalized good judgment—not because they cut corners. They use AI tools to multiply their output, communicate clearly with non-technical stakeholders, and course-correct quickly when something isn’t working.

The annual salary for this role ranges from: $144,500 to $230,000 USD + significant bonus + benefits. Actual compensation packages are determined by evaluating a wide array of factors unique to each candidate, including but not limited to geographic location, skill set, years and depth of experience, education, certifications, cost of labor and internal equity.

Accordion is an Equal Opportunity Employer. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills.  We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical​​​ condition, pregnancy, genetic information, gender, sexual orientation, gender identity or ​expression, veteran status, or any other status protected under federal, state, or local law.

Please note that as per Accordion policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening and in alignment with our inclusive diversity values. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that Accordion will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.

#LI-BS1

Lantern is looking for a Principal Engineer to join our fast-growing Member Experience team. In this role, you will lead the technical direction and ownership of our core member-facing platforms, including our web application, mobile app, and AI-driven chat features. You will be instrumental in architecting scalable solutions that enhance how our members interact with Lantern's services.

Location: Hybrid - at least 3 days/wk in one of our offices:  Dallas, TX (preferred) / Chicago/Evanston / New York / Washington, DC

Current Tech Stack:

Web Platform: Angular and TypeScript, with an emphasis on scalable front-end architecture, reusable components, and strong member experience.
Mobile Platform: React Native for member-facing mobile experiences.
Backend and APIs: .NET / C# services that power core member workflows and integrations.
Styling and UI: Tailwind CSS and NativeWind for consistent, modern interface development.
Cloud Infrastructure: Microsoft Azure for cloud services, hosting, integration, and operational support.

Responsibilities:

• Platform Ownership: Lead the development and end-to-end ownership of member-facing web, mobile, and AI chatbot experiences.
• Architectural Leadership: Define and maintain technical standards for front-end architecture, shared patterns, performance, accessibility, and long-term maintainability.
• Cross-Platform Integration: Drive a pragmatic strategy for reusable business logic, design consistency, and seamless experiences across web and mobile platforms where it adds value.
• Backend and Cloud Collaboration: Partner closely with engineers working in .NET / C# and Microsoft Azure to deliver secure, reliable, observable, and scalable solutions.
• AI and Member Experience: Help shape AI-enabled chat and support capabilities that improve navigation, engagement, and service for Lantern members.
• Mentorship: Act as a technical pillar for the engineering organization by mentoring engineers, leading design reviews, and guiding complex implementation decisions.

Requirements:

• Work Experience: Extensive years of professional software engineering experience, preferably with at least 2+ years operating at a Staff, Principal, or equivalent technical leadership level in product-focused environments.
• Front-End Expertise: Deep expertise in TypeScript, React, and modern front-end architecture, with the ability to operate effectively in environments that also include Angular.
• Mobile Expertise: Proven experience building and supporting production-grade applications using React Native.
• Backend and Cloud Fluency: Strong experience partnering with backend teams working in .NET / C# or Node.js and building solutions that run on Microsoft Azure.
• Design Systems and UI: Hands-on familiarity with Tailwind CSS and/or NativeWind, reusable component patterns, and high-quality user experience implementation.
• Preferred Skills: Experience building or integrating AI / LLM-powered product features such as chat, guided workflows, copilots, or search-driven experiences.
• Domain and Collaboration: Excellent communication skills and the ability to influence across engineering, product, design, and business stakeholders.
• Education: Bachelor's degree in Computer Science, Engineering, or equivalent professional experience.

Strong Candidates Will:

• Be Product-Minded: Understand the member and business impact behind technical decisions, not just the implementation details.
• Balance Strategy and Execution: Move comfortably between architecture, hands-on problem solving, and delivery support.
• Create Clarity: Bring structure to ambiguous problems, align stakeholders, and move important work forward with sound judgment.
• Lead with Ownership: Raise the bar for quality, collaboration, and engineering excellence across the team.

Benefits

• Medical Insurance
• Dental Insurance
• Vision Insurance
• Short & Long Term Disability
• Life Insurance
• 401k with company match
• Paid Time Off
• Paid Parental Leave

About the role:

As a member of the Applied AI team at Anthropic, you will be a Forward Deployed Engineer (FDE) who embeds directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems. Our FDEs engage with customers to accelerate the adoption of existing products and create new applications built on our models.

Working closely with our Post-Sales, Product, and Engineering teams, you'll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability.

You will sit at the frontier of enterprise AI deployments and serve as one of our founding FDEs who helps to shape our forward-deployed motion. We expect our FDEs to operate autonomously, thrive under ambiguity, and represent Anthropic at the highest level in customer environments. This is a significant responsibility: you’ll play a key role in championing our mission in the enterprise.

Responsibilities:

• Work within customer systems to build production applications with Claude models, ensuring that these products meet customer requirements.
• Deliver technical artifacts for customers like MCP servers, sub-agents, and agent skills that will be used in production workflows.
• Provide white glove deployment support for Anthropic products in enterprise environments.
• Identify and codify repeatable deployment patterns and contribute insights back to our Product and Engineering teams.
• Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks.
• Build long term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement.
• Potential Travel (based on location) to customer sites to build in person with customers. - Estimated 25% 
• Be a champion for Anthropic’s mission in the field.

You May Be a Good Fit If You Have:

• 3+ years of experience in a technical, customer facing role such as Forward Deployed Engineer, or as a Software Engineer with consulting experience. Former technical founders are also encouraged to apply.
• Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale.
• Strong programming skills with proficiency in Python (and ideally in one or more additional languages like Typescript, Java, etc) and experience shipping production applications 
• High agency with an ability to navigate ambiguity present in complex organizations.
• High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity.
• Passion for advancing safe, beneficial AI systems through creative technical applications.
• Strong communication skills to conduct discovery with customers and to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach.
• A background in financial services, healthcare/life sciences, or another enterprise vertical is a plus.
• Experience with enterprise IT systems and/or AI deployment patterns is a plus.
• Experience working as an FDE or in a professional services context is a plus.

As VP of Search, you’ll set the vision and direction for our global Search practice—leading best-in-class SEO, SEM, and Generative Engine Optimization (GEO) strategies across a diverse portfolio of clients and regions. You are the global leader and point of contact for Search within the agency, responsible for practice leadership, quality standards, capability growth, and operational excellence.

You’ll translate the evolving search landscape—including AI-powered discovery (AI Overviews, LLMs, and “answer engines”)—into actionable strategies, scalable frameworks, and measurable business outcomes. You balance executive-level client counsel with hands-on strategic depth, while building and sustaining a high-performing global team through strategic talent planning, staffing, and resourcing.

You’ll play a pivotal role in expanding our Search services and capabilities and helping our clients achieve top-tier performance. You define what great looks like, ensure we deliver it consistently, and evolve our offering to keep CM at the forefront of the industry.

*This is a one-year contract opportunity*

You Will: 

Practice leadership & operations

• Serve as the discipline lead and global point of contact for the Search practice—representing CM’s Search capabilities across agency leadership, cross-functional partners, and the broader Omnicom network.
• Define and lead the agency-wide vision for best-in-class SEO, SEM, and GEO—developing strategic POVs, frameworks, and standardized processes across regions and accounts.
• Act as a strategic thought leader, innovator, and champion for the role of search across the modern digital ecosystem.
• Spearhead and deliver educational Search presentations, developing internal slideware to keep other disciplines updated on search news, trends, best practices, and “what it means for your clients” opportunities.
• Own staffing strategy and resourcing across the global Search practice and client portfolio, partnering with Operations and account leaders to forecast needs, allocate talent, and address coverage gaps proactively.
• Lead administrative and operational oversight for the discipline (e.g., capacity planning, utilization, role mix, and scalable delivery models, performance reviews, capability roadmaps).

Client leadership & business growth

• Act as the executive Search lead for priority accounts, guiding senior stakeholders and ensuring Search programs align to business objectives, scope and measurable outcomes.
• Lead the creation, definition, execution, and optimization of holistic search strategies (SEO + SEM + GEO), including multi-year roadmaps.
• Proactively drive new business growth—shaping offerings, scoping work, mapping pricing/LOEs, supporting new business pitches, and identifying organic growth opportunities.
• Communicate complex search concepts and performance narratives in a concise, compelling, executive-ready manner, transforming search data insights into strategic opportunities.

Innovation, AI search & future-proofing

• Lead and implement AI Search Optimization / GEO strategies, ensuring clients are discoverable across AI Overviews and LLMs (ChatGPT, Perplexity, Gemini, AI Mode, etc.).
• Build frameworks and processes to systematically track and improve search performance, including GEO visibility metrics, attribution impacts, and content/technical readiness.
• Keep the agency ahead of search shifts (AI/ML automation, SERP changes, visual/voice/social search) and translate those shifts into new service offerings.

Strategy & execution

• Utilize cross-channel search data to understand user intent, shape content strategy, and identify business opportunities.
• Advise on technical website development to maximize indexability and visibility, including JavaScript SEO and accessibility considerations for both users and LLM crawlers.
• Define search-driven guidelines and requirements for content, page speed, accessibility, structured data, site architecture, URL structure, metadata, internal linking, sitemaps, etc.
• Conduct regular SEO/SEM/GEO audits and competitive analyses, translating insights into prioritized, executable roadmaps.
• Deliver actionable performance insights and strategic recommendations through clear, visually compelling reports—communicating complex concepts in a concise and easy-to-understand manner
• Collaborate with cross-functional teams to incorporate SEO strategies and best practices.
• Optimize social search channels (e.g., YouTube, TikTok) to maximize brand and content visibility across the digital landscape.
• Define success metrics and translate SEO/SEM/GEO results to business objectives.

You Have:

• 10–15+ years of Search experience, including 5+ years leading high-performing Search teams across multiple accounts.
• Experience managing department-level staffing, resourcing and operations.
• Strong communication and data storytelling skills (written and verbal), with confidence presenting to executive clients and agency leadership.
• Deep expertise in SEO (technical + content + UX + measurement) and experience overseeing SEM strategy or managing large-budget paid search campaigns.
• Experience integrating paid and organic search strategies and workflows to reduce costs while maximizing key business outcomes.
• Proven track record of driving measurable performance improvements.
• Strong organizational and project management skills, with experience leading multiple workstreams, teams, and deadlines simultaneously.
• Experience with global brands and international SEO (multi-region, multi-language sites).
• Experience managing SEO strategies for large-scale website migrations and redesigns.
• Experience with GEO and AI search optimization for both AI Overviews and LLMs (ChatGPT, Perplexity, Gemini, AI Mode, etc.).
• Experience defining and documenting cross-disciplinary internal processes, playbooks, and best practices to improve search implementation and deliverable quality.
• Deep understanding of search algorithms and ranking factors across modern search ecosystems (traditional search, social search & AI search).
• Proficiency in 3rd party SEO/SEM tools such as SEMrush, BrightEdge, Ahrefs, Screaming Frog, and similar platforms.
• Proficiency in analytics and visualization tools such as Google Analytics, Looker Studio (Data Studio), Adobe Analytics, Google Search Console, Tableau, etc.
• Experience with GEO/AI search tracking tools such as Profound, BlueFish, BrightEdge AI Catalyst, or similar solutions.
• Strong analytical skills, with the ability to interpret data, identify trends, and make data-driven decisions.
• Strong Excel skills (pivot tables, VLOOKUP/XLOOKUP, large datasets) and experience analyzing and reporting on performance data.
• Experience developing and executing search-driven content strategies that improve visibility, traffic, engagement, and conversion.
• Experience testing and leveraging AI to improve search workflows, efficiencies, and quality.
• A proactive, self-starter attitude and a passion for staying current in a rapidly evolving digital landscape.

As VP of Search, you’ll set the vision and direction for our global Search practice—leading best-in-class SEO, SEM, and Generative Engine Optimization (GEO) strategies across a diverse portfolio of clients and regions. You are the global leader and point of contact for Search within the agency, responsible for practice leadership, quality standards, capability growth, and operational excellence.

You’ll translate the evolving search landscape—including AI-powered discovery (AI Overviews, LLMs, and “answer engines”)—into actionable strategies, scalable frameworks, and measurable business outcomes. You balance executive-level client counsel with hands-on strategic depth, while building and sustaining a high-performing global team through strategic talent planning, staffing, and resourcing.

You’ll play a pivotal role in expanding our Search services and capabilities and helping our clients achieve top-tier performance. You define what great looks like, ensure we deliver it consistently, and evolve our offering to keep CM at the forefront of the industry.

*This is a one-year contract opportunity*

You Will: 

Practice leadership & operations

• Serve as the discipline lead and global point of contact for the Search practice—representing CM’s Search capabilities across agency leadership, cross-functional partners, and the broader Omnicom network.
• Define and lead the agency-wide vision for best-in-class SEO, SEM, and GEO—developing strategic POVs, frameworks, and standardized processes across regions and accounts.
• Act as a strategic thought leader, innovator, and champion for the role of search across the modern digital ecosystem.
• Spearhead and deliver educational Search presentations, developing internal slideware to keep other disciplines updated on search news, trends, best practices, and “what it means for your clients” opportunities.
• Own staffing strategy and resourcing across the global Search practice and client portfolio, partnering with Operations and account leaders to forecast needs, allocate talent, and address coverage gaps proactively.
• Lead administrative and operational oversight for the discipline (e.g., capacity planning, utilization, role mix, and scalable delivery models, performance reviews, capability roadmaps).

Client leadership & business growth

• Act as the executive Search lead for priority accounts, guiding senior stakeholders and ensuring Search programs align to business objectives, scope and measurable outcomes.
• Lead the creation, definition, execution, and optimization of holistic search strategies (SEO + SEM + GEO), including multi-year roadmaps.
• Proactively drive new business growth—shaping offerings, scoping work, mapping pricing/LOEs, supporting new business pitches, and identifying organic growth opportunities.
• Communicate complex search concepts and performance narratives in a concise, compelling, executive-ready manner, transforming search data insights into strategic opportunities.

Innovation, AI search & future-proofing

• Lead and implement AI Search Optimization / GEO strategies, ensuring clients are discoverable across AI Overviews and LLMs (ChatGPT, Perplexity, Gemini, AI Mode, etc.).
• Build frameworks and processes to systematically track and improve search performance, including GEO visibility metrics, attribution impacts, and content/technical readiness.
• Keep the agency ahead of search shifts (AI/ML automation, SERP changes, visual/voice/social search) and translate those shifts into new service offerings.

Strategy & execution

• Utilize cross-channel search data to understand user intent, shape content strategy, and identify business opportunities.
• Advise on technical website development to maximize indexability and visibility, including JavaScript SEO and accessibility considerations for both users and LLM crawlers.
• Define search-driven guidelines and requirements for content, page speed, accessibility, structured data, site architecture, URL structure, metadata, internal linking, sitemaps, etc.
• Conduct regular SEO/SEM/GEO audits and competitive analyses, translating insights into prioritized, executable roadmaps.
• Deliver actionable performance insights and strategic recommendations through clear, visually compelling reports—communicating complex concepts in a concise and easy-to-understand manner
• Collaborate with cross-functional teams to incorporate SEO strategies and best practices.
• Optimize social search channels (e.g., YouTube, TikTok) to maximize brand and content visibility across the digital landscape.
• Define success metrics and translate SEO/SEM/GEO results to business objectives.

You Have:

• 10–15+ years of Search experience, including 5+ years leading high-performing Search teams across multiple accounts.
• Experience managing department-level staffing, resourcing and operations.
• Strong communication and data storytelling skills (written and verbal), with confidence presenting to executive clients and agency leadership.
• Deep expertise in SEO (technical + content + UX + measurement) and experience overseeing SEM strategy or managing large-budget paid search campaigns.
• Experience integrating paid and organic search strategies and workflows to reduce costs while maximizing key business outcomes.
• Proven track record of driving measurable performance improvements.
• Strong organizational and project management skills, with experience leading multiple workstreams, teams, and deadlines simultaneously.
• Experience with global brands and international SEO (multi-region, multi-language sites).
• Experience managing SEO strategies for large-scale website migrations and redesigns.
• Experience with GEO and AI search optimization for both AI Overviews and LLMs (ChatGPT, Perplexity, Gemini, AI Mode, etc.).
• Experience defining and documenting cross-disciplinary internal processes, playbooks, and best practices to improve search implementation and deliverable quality.
• Deep understanding of search algorithms and ranking factors across modern search ecosystems (traditional search, social search & AI search).
• Proficiency in 3rd party SEO/SEM tools such as SEMrush, BrightEdge, Ahrefs, Screaming Frog, and similar platforms.
• Proficiency in analytics and visualization tools such as Google Analytics, Looker Studio (Data Studio), Adobe Analytics, Google Search Console, Tableau, etc.
• Experience with GEO/AI search tracking tools such as Profound, BlueFish, BrightEdge AI Catalyst, or similar solutions.
• Strong analytical skills, with the ability to interpret data, identify trends, and make data-driven decisions.
• Strong Excel skills (pivot tables, VLOOKUP/XLOOKUP, large datasets) and experience analyzing and reporting on performance data.
• Experience developing and executing search-driven content strategies that improve visibility, traffic, engagement, and conversion.
• Experience testing and leveraging AI to improve search workflows, efficiencies, and quality.
• A proactive, self-starter attitude and a passion for staying current in a rapidly evolving digital landscape.

As VP of Search, you’ll set the vision and direction for our global Search practice—leading best-in-class SEO, SEM, and Generative Engine Optimization (GEO) strategies across a diverse portfolio of clients and regions. You are the global leader and point of contact for Search within the agency, responsible for practice leadership, quality standards, capability growth, and operational excellence.

You’ll translate the evolving search landscape—including AI-powered discovery (AI Overviews, LLMs, and “answer engines”)—into actionable strategies, scalable frameworks, and measurable business outcomes. You balance executive-level client counsel with hands-on strategic depth, while building and sustaining a high-performing global team through strategic talent planning, staffing, and resourcing.

You’ll play a pivotal role in expanding our Search services and capabilities and helping our clients achieve top-tier performance. You define what great looks like, ensure we deliver it consistently, and evolve our offering to keep CM at the forefront of the industry.

*This is a one-year contract opportunity*

You Will: 

Practice leadership & operations

• Serve as the discipline lead and global point of contact for the Search practice—representing CM’s Search capabilities across agency leadership, cross-functional partners, and the broader Omnicom network.
• Define and lead the agency-wide vision for best-in-class SEO, SEM, and GEO—developing strategic POVs, frameworks, and standardized processes across regions and accounts.
• Act as a strategic thought leader, innovator, and champion for the role of search across the modern digital ecosystem.
• Spearhead and deliver educational Search presentations, developing internal slideware to keep other disciplines updated on search news, trends, best practices, and “what it means for your clients” opportunities.
• Own staffing strategy and resourcing across the global Search practice and client portfolio, partnering with Operations and account leaders to forecast needs, allocate talent, and address coverage gaps proactively.
• Lead administrative and operational oversight for the discipline (e.g., capacity planning, utilization, role mix, and scalable delivery models, performance reviews, capability roadmaps).

Client leadership & business growth

• Act as the executive Search lead for priority accounts, guiding senior stakeholders and ensuring Search programs align to business objectives, scope and measurable outcomes.
• Lead the creation, definition, execution, and optimization of holistic search strategies (SEO + SEM + GEO), including multi-year roadmaps.
• Proactively drive new business growth—shaping offerings, scoping work, mapping pricing/LOEs, supporting new business pitches, and identifying organic growth opportunities.
• Communicate complex search concepts and performance narratives in a concise, compelling, executive-ready manner, transforming search data insights into strategic opportunities.

Innovation, AI search & future-proofing

• Lead and implement AI Search Optimization / GEO strategies, ensuring clients are discoverable across AI Overviews and LLMs (ChatGPT, Perplexity, Gemini, AI Mode, etc.).
• Build frameworks and processes to systematically track and improve search performance, including GEO visibility metrics, attribution impacts, and content/technical readiness.
• Keep the agency ahead of search shifts (AI/ML automation, SERP changes, visual/voice/social search) and translate those shifts into new service offerings.

Strategy & execution

• Utilize cross-channel search data to understand user intent, shape content strategy, and identify business opportunities.
• Advise on technical website development to maximize indexability and visibility, including JavaScript SEO and accessibility considerations for both users and LLM crawlers.
• Define search-driven guidelines and requirements for content, page speed, accessibility, structured data, site architecture, URL structure, metadata, internal linking, sitemaps, etc.
• Conduct regular SEO/SEM/GEO audits and competitive analyses, translating insights into prioritized, executable roadmaps.
• Deliver actionable performance insights and strategic recommendations through clear, visually compelling reports—communicating complex concepts in a concise and easy-to-understand manner
• Collaborate with cross-functional teams to incorporate SEO strategies and best practices.
• Optimize social search channels (e.g., YouTube, TikTok) to maximize brand and content visibility across the digital landscape.
• Define success metrics and translate SEO/SEM/GEO results to business objectives.

You Have:

• 10–15+ years of Search experience, including 5+ years leading high-performing Search teams across multiple accounts.
• Experience managing department-level staffing, resourcing and operations.
• Strong communication and data storytelling skills (written and verbal), with confidence presenting to executive clients and agency leadership.
• Deep expertise in SEO (technical + content + UX + measurement) and experience overseeing SEM strategy or managing large-budget paid search campaigns.
• Experience integrating paid and organic search strategies and workflows to reduce costs while maximizing key business outcomes.
• Proven track record of driving measurable performance improvements.
• Strong organizational and project management skills, with experience leading multiple workstreams, teams, and deadlines simultaneously.
• Experience with global brands and international SEO (multi-region, multi-language sites).
• Experience managing SEO strategies for large-scale website migrations and redesigns.
• Experience with GEO and AI search optimization for both AI Overviews and LLMs (ChatGPT, Perplexity, Gemini, AI Mode, etc.).
• Experience defining and documenting cross-disciplinary internal processes, playbooks, and best practices to improve search implementation and deliverable quality.
• Deep understanding of search algorithms and ranking factors across modern search ecosystems (traditional search, social search & AI search).
• Proficiency in 3rd party SEO/SEM tools such as SEMrush, BrightEdge, Ahrefs, Screaming Frog, and similar platforms.
• Proficiency in analytics and visualization tools such as Google Analytics, Looker Studio (Data Studio), Adobe Analytics, Google Search Console, Tableau, etc.
• Experience with GEO/AI search tracking tools such as Profound, BlueFish, BrightEdge AI Catalyst, or similar solutions.
• Strong analytical skills, with the ability to interpret data, identify trends, and make data-driven decisions.
• Strong Excel skills (pivot tables, VLOOKUP/XLOOKUP, large datasets) and experience analyzing and reporting on performance data.
• Experience developing and executing search-driven content strategies that improve visibility, traffic, engagement, and conversion.
• Experience testing and leveraging AI to improve search workflows, efficiencies, and quality.
• A proactive, self-starter attitude and a passion for staying current in a rapidly evolving digital landscape.

As VP of Search, you’ll set the vision and direction for our global Search practice—leading best-in-class SEO, SEM, and Generative Engine Optimization (GEO) strategies across a diverse portfolio of clients and regions. You are the global leader and point of contact for Search within the agency, responsible for practice leadership, quality standards, capability growth, and operational excellence.

You’ll translate the evolving search landscape—including AI-powered discovery (AI Overviews, LLMs, and “answer engines”)—into actionable strategies, scalable frameworks, and measurable business outcomes. You balance executive-level client counsel with hands-on strategic depth, while building and sustaining a high-performing global team through strategic talent planning, staffing, and resourcing.

You’ll play a pivotal role in expanding our Search services and capabilities and helping our clients achieve top-tier performance. You define what great looks like, ensure we deliver it consistently, and evolve our offering to keep CM at the forefront of the industry.

*This is a one-year contract opportunity*

You Will: 

Practice leadership & operations

• Serve as the discipline lead and global point of contact for the Search practice—representing CM’s Search capabilities across agency leadership, cross-functional partners, and the broader Omnicom network.
• Define and lead the agency-wide vision for best-in-class SEO, SEM, and GEO—developing strategic POVs, frameworks, and standardized processes across regions and accounts.
• Act as a strategic thought leader, innovator, and champion for the role of search across the modern digital ecosystem.
• Spearhead and deliver educational Search presentations, developing internal slideware to keep other disciplines updated on search news, trends, best practices, and “what it means for your clients” opportunities.
• Own staffing strategy and resourcing across the global Search practice and client portfolio, partnering with Operations and account leaders to forecast needs, allocate talent, and address coverage gaps proactively.
• Lead administrative and operational oversight for the discipline (e.g., capacity planning, utilization, role mix, and scalable delivery models, performance reviews, capability roadmaps).

Client leadership & business growth

• Act as the executive Search lead for priority accounts, guiding senior stakeholders and ensuring Search programs align to business objectives, scope and measurable outcomes.
• Lead the creation, definition, execution, and optimization of holistic search strategies (SEO + SEM + GEO), including multi-year roadmaps.
• Proactively drive new business growth—shaping offerings, scoping work, mapping pricing/LOEs, supporting new business pitches, and identifying organic growth opportunities.
• Communicate complex search concepts and performance narratives in a concise, compelling, executive-ready manner, transforming search data insights into strategic opportunities.

Innovation, AI search & future-proofing

• Lead and implement AI Search Optimization / GEO strategies, ensuring clients are discoverable across AI Overviews and LLMs (ChatGPT, Perplexity, Gemini, AI Mode, etc.).
• Build frameworks and processes to systematically track and improve search performance, including GEO visibility metrics, attribution impacts, and content/technical readiness.
• Keep the agency ahead of search shifts (AI/ML automation, SERP changes, visual/voice/social search) and translate those shifts into new service offerings.

Strategy & execution

• Utilize cross-channel search data to understand user intent, shape content strategy, and identify business opportunities.
• Advise on technical website development to maximize indexability and visibility, including JavaScript SEO and accessibility considerations for both users and LLM crawlers.
• Define search-driven guidelines and requirements for content, page speed, accessibility, structured data, site architecture, URL structure, metadata, internal linking, sitemaps, etc.
• Conduct regular SEO/SEM/GEO audits and competitive analyses, translating insights into prioritized, executable roadmaps.
• Deliver actionable performance insights and strategic recommendations through clear, visually compelling reports—communicating complex concepts in a concise and easy-to-understand manner
• Collaborate with cross-functional teams to incorporate SEO strategies and best practices.
• Optimize social search channels (e.g., YouTube, TikTok) to maximize brand and content visibility across the digital landscape.
• Define success metrics and translate SEO/SEM/GEO results to business objectives.

You Have:

• 10–15+ years of Search experience, including 5+ years leading high-performing Search teams across multiple accounts.
• Experience managing department-level staffing, resourcing and operations.
• Strong communication and data storytelling skills (written and verbal), with confidence presenting to executive clients and agency leadership.
• Deep expertise in SEO (technical + content + UX + measurement) and experience overseeing SEM strategy or managing large-budget paid search campaigns.
• Experience integrating paid and organic search strategies and workflows to reduce costs while maximizing key business outcomes.
• Proven track record of driving measurable performance improvements.
• Strong organizational and project management skills, with experience leading multiple workstreams, teams, and deadlines simultaneously.
• Experience with global brands and international SEO (multi-region, multi-language sites).
• Experience managing SEO strategies for large-scale website migrations and redesigns.
• Experience with GEO and AI search optimization for both AI Overviews and LLMs (ChatGPT, Perplexity, Gemini, AI Mode, etc.).
• Experience defining and documenting cross-disciplinary internal processes, playbooks, and best practices to improve search implementation and deliverable quality.
• Deep understanding of search algorithms and ranking factors across modern search ecosystems (traditional search, social search & AI search).
• Proficiency in 3rd party SEO/SEM tools such as SEMrush, BrightEdge, Ahrefs, Screaming Frog, and similar platforms.
• Proficiency in analytics and visualization tools such as Google Analytics, Looker Studio (Data Studio), Adobe Analytics, Google Search Console, Tableau, etc.
• Experience with GEO/AI search tracking tools such as Profound, BlueFish, BrightEdge AI Catalyst, or similar solutions.
• Strong analytical skills, with the ability to interpret data, identify trends, and make data-driven decisions.
• Strong Excel skills (pivot tables, VLOOKUP/XLOOKUP, large datasets) and experience analyzing and reporting on performance data.
• Experience developing and executing search-driven content strategies that improve visibility, traffic, engagement, and conversion.
• Experience testing and leveraging AI to improve search workflows, efficiencies, and quality.
• A proactive, self-starter attitude and a passion for staying current in a rapidly evolving digital landscape.

*Please note, the pay range noted below is hourly*

Lantern is looking for a Director of AI Engineering to lead the strategy, development, and delivery of AI and machine learning capabilities across the organization. This is a senior leadership role responsible for building and scaling a high-performing AI engineering team, setting the technical vision for ML/LLM systems, and ensuring that AI initiatives are tightly aligned with Lantern’s product strategy, care workflows, and business objectives. You will report to the VP of Engineering and work closely with executive leadership to shape how AI transforms care delivery and operations at Lantern.

In this role, you will own the end-to-end AI engineering function—from research and prototyping through production deployment and continuous improvement. You will be expected to move fast, driving rapid proof-of-concept development and delivering production-grade AI solutions on aggressive timelines. You will establish the technical roadmap, define engineering standards, build team culture, and drive execution across multiple concurrent AI initiatives. Your work will directly impact how Lantern leverages intelligent systems to improve patient outcomes, operational efficiency, and scalable growth.

Location: Hybrid - at least 3 days/wk in one of our offices:  Dallas, TX / Chicago/Evanston / New York / Washington, DC

Responsibilities:

• Define and execute the AI engineering strategy and technical roadmap, ensuring alignment with Lantern’s product, clinical, and business priorities.
• Build, lead, and scale a high-performing AI engineering team, including hiring, mentoring, performance management, and creating a culture of technical excellence and innovation.
• Drive rapid AI proof-of-concept development, moving from problem identification to working prototypes on aggressive timelines, and shepherding successful POCs into production-grade systems.
• Own the end-to-end lifecycle of ML/LLM systems—from research and experimentation through production deployment, monitoring, and continuous improvement.
• Establish and maintain best-in-class MLOps practices: experiment tracking, reproducibility, CI/CD for models, automated testing, drift detection, observability, and scalable infrastructure on Azure.
• Partner with product, clinical operations, marketing, data, and engineering leadership to identify high-impact AI opportunities and translate them into well-scoped, executable initiatives.
• Lead architecture decisions for ML/LLM systems, ensuring scalability, reliability, security, and compliance with healthcare regulations.
• Establish clear KPIs and success metrics for the AI engineering function, including model performance, delivery velocity, team health, and business impact.
• Champion responsible AI practices across the organization, including fairness, transparency, explainability, and regulatory compliance in healthcare contexts.
• Represent the AI engineering function to executive leadership, providing regular updates on progress, risks, and strategic recommendations.
• Build external visibility for Lantern’s AI capabilities through thought leadership, community engagement, and talent brand building.

Experience & Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience; Master’s preferred.
• 10+ years of experience in software engineering or machine learning, with at least 4 years in a leadership role managing ML/AI teams.
• Proven track record of building and shipping production ML/LLM systems at scale, including end-to-end ownership from research through deployment.
• Deep technical expertise in ML frameworks (PyTorch, TensorFlow, scikit-learn), LLM technologies (prompt engineering, RAG, embeddings, fine-tuning, agents), and modern MLOps practices.
• Strong experience with cloud-native ML infrastructure on Azure, including Azure ML, Databricks, and Azure DevOps pipelines.
• Demonstrated ability to rapidly prototype AI solutions and drive them to production on aggressive timelines.
• Experience with big data ecosystems (Spark, Databricks, Delta Lake) and streaming technologies.
• Excellent leadership skills: hiring and developing high-performing teams, managing cross-functional relationships, and influencing at the executive level.
• Strong strategic thinking with the ability to balance long-term vision with near-term execution and business impact.
• Experience operating in regulated environments, ideally healthcare, with an understanding of compliance, data governance, and responsible AI principles.
• Outstanding communication skills with the ability to translate complex technical concepts for non-technical stakeholders and executive audiences.

Strong Candidates will have:

• Experience applying AI/ML capabilities in healthcare, health tech, or other regulated industries.
• Background working with clinical data, claims data, or healthcare operational workflows.
• Experience building and scaling AI teams from the ground up, including defining team structure, processes, and culture.
• Track record of delivering AI-powered products that drove measurable business outcomes.
• Experience with LLM agents, agentic workflows, tool-use orchestration, or multi-step reasoning systems.

Benefits

• Medical Insurance
• Dental Insurance
• Vision Insurance
• Short & Long Term Disability
• Life Insurance
• 401k with company match
• Paid Time Off
• Paid Parental Leave

About the Role:

Most roles at the start of a career come with an onboarding deck and a defined task list. This one does not. Groupon is rebuilding how it sells — from the ground up, with AI — and the person in this role is part of that build from day one.

The vehicle is Project Foundry: a production fleet of AI agents designed to give Groupon a parallel sales force that operates 24/7 and to make every human rep sharper the moment they step into a deal. Two layers: the first runs full sales motions autonomously — outbound, inbound triage, reactivation — so reps receive warm opportunities rather than cold lists. The second equips reps at the handoff point — context surfaced, deal history ready, next action suggested.

Reporting directly to the CSO, the GTM AI Specialist learns the full architecture, contributes to both layers, and progressively takes end-to-end ownership of agents in production. You are not joining a team that advises the business on AI. You are building the system that is the business. There is no playbook. You help write it.

North Star

Ship AI agents that run on real merchant data, prove their value in measurable terms, and make the sales organisation faster and sharper than it would be without them. The build compounds — every signal, every call, every conversion feeds back into what you build next. You are here to make that happen.

What You’ll Do:

• Build across both layers of the fleet — Layer 1: agents that run autonomously without rep involvement — outbound sequencing, lead prioritisation, inbound triage, reactivation. Reps receive warm opportunities, not cold lists. Layer 2: agents that equip reps at the moment they step in — account context surfaced, deal history ready, next action suggested. You learn how both layers work and progressively contribute to each.
• Identify what to build and make the case for it — You are not waiting to be given a task list. You look at the sales organisation, find the highest-value problem an agent could solve, and bring a structured proposal to the CSO. Judgment about what is worth building matters as much as the ability to build it.
• Test, measure, and iterate — You run experiments on real merchant data, measure whether what you built is working, identify failure modes, and refine. Every agent you touch has a documented performance trail. You do not ship and move on.
• Mine call transcripts for agent inputs — Process sales call recordings to extract patterns, category signals, and performance data. This is raw material for the agents you build — not a separate analytics workstream. You surface insights from it and design around them.
• Document and maintain what you ship — Every agent you deploy has a before/after record. You keep it current. You present it. You own what you built — not just while you're building it.

What You Bring:

• A degree from an Ivy League or equivalent top-tier university strongly preferred— computer science, data science, economics, mathematics, or a field that taught you to think in systems. The subject matters less than the rigor of how you were trained to think.
• You have built an AI agent or automated workflow — not a class project. Something you designed, built, and iterated on because you wanted to see if it would work. You can explain what it did, what broke, and what you changed. The bar is not commercial success. The bar is that you shipped something real.
• Technical capability to build: you have used LLM APIs (OpenAI, Anthropic, or equivalent), built prompt architectures, and connected systems together. Python or equivalent. You do not need to be a software engineer — but you need to be able to build a working agent without asking someone else to write the code.
• Commercial curiosity. You read about how businesses make money. You ask why something converts and why something else doesn’t. You do not need a sales background — you need the instinct to connect what you build to a GP outcome.
• Rigor with data. You do not accept a number without understanding where it came from. You build your own measurement frameworks when none exist.

Who You Are:

• Builder first — your instinct is to build, not to ask for permission. You have side projects because you were curious, not because someone assigned them.
• AI-native, not AI-curious — you have spent real time understanding what these systems can and cannot do. You know the difference between a demo and a deployed agent.
• Comfortable with ambiguity — you can start without a complete brief, identify the next right step, and keep moving. You learn faster by doing than by waiting for clarity.
• Commercially curious — you connect what you build to a business outcome. You ask why something converts and why something doesn’t. Technology is the means; impact is the goal.

You are early in your career. That is the point. If you don’t tick every box but you build, learn fast, and want to work on something that doesn’t yet exist — we want to hear from you.

How We Operate:

Five principles. Non-negotiable.

• Extreme Ownership — if an agent you’re responsible for underperforms, you own the diagnosis and the fix — not the vendor, not the backlog.
• Speed Over Comfort — you ship an experiment before you’re sure it will work. You learn from live data, not from waiting.
• Impact Obsessed — every hour of your time should connect to a GP outcome — directly or as a clear step toward one.
• Simplify to Scale — you document what you build so it can be used by someone else. Complexity you create and don’t explain is debt.
• Disciplined — you keep your data clean, your experiments rigorous, and your performance logs current. Good intentions without rigour produce noise.

How We Measure Your Success:

• Agent shipped: first working agent in production by day 90, with a documented hypothesis, performance data, and an honest assessment of what worked and what didn’t
• Quality of proposals: structured agent proposals to the CSO — ranked by commercial impact, grounded in data, specific about what gets built and how it gets measured
• Experiment rigour: every agent you deploy has a defined success metric set before go-live — not retrofitted afterward
• Learning progression: demonstrated improvement in AI build quality, commercial reasoning, and stack fluency quarter over quarter — assessed directly by the CSO
• Contribution to the fleet: at least one documented insight per month surfaced from call transcripts or agent performance data — standalone, with a recommendation

The Details:

• Base salary: 90k-120k base + 10% ABP Bonus 
• Location: Downtown Chicago (hybrid, 3 days a week in-office)
  • Alternate locations: Can be remote for the right fit, NYC strongly encouraged
• Benefits start the 1st of the month after your start date — Medical, Dental, Vision, Life Insurance, Disability, FSAs, EAP, 401(k) match, ESPP, flexible PTO, and more
• Employee Resource Groups & inclusive team culture

Location: US or Canada
Type: US Applicants - Full-Time; Canadian Applicants - Independent Contractor

About Human Agency

We're scaling rapidly and have a growing pipeline of opportunities that demand exceptional talent across disciplines. Our mission is to bring on individuals, from creative producers to technical experts to entrepreneurial leaders, who can help us realize this next chapter of growth.

We are a company of doers. Leaders roll up their sleeves, teams work flat, and everyone contributes to what ships. Titles don't insulate us from feedback or basics. We invite critique, learn quickly, and keep raising the bar. The best ideas win here, no matter where they come from, because clients trust us to deliver the strongest outcomes every time.

Our clients' missions, products, and bottom lines are sacred. We immerse ourselves in their world, becoming stewards of their goals and partners in solving big problems. Every product, strategy, or asset we create must be both beautiful and functional; practical, usable, and designed for real-world impact.

Humans are our most valuable resource, and we only grow by hiring people who push us forward. Across strategy, engineering, design, data, and operations, we seek out teammates who raise the bar and make us better. Always hire up, never down.

We partner with organizations of all sizes to explore, design, and implement AI strategies that are secure, scalable, and human-centered. We believe AI should amplify human potential, not replace it and we build with that conviction in every engagement. From advisory and tooling to implementation and education, we meet clients where they are at and help them integrate AI in ways that align with their mission and values. Our goal is to empower teams to work smarter, move faster, and unlock new possibilities through thoughtful, responsible innovation.

And through it all, we lead with purpose, love, and adventure. We do meaningful work with people we care about, and we make the ride an adventure worth taking. Because at Human Agency, who we are and how we work are one and the same.

The Opportunity

We are seeking an exceptional Chief of Staff for our Managing Director of AI—someone who combines strategic vision in AI with hands-on execution and technological know-how. You'll be both a force-multiplier and a transformation architect: designing AI-enabled processes, building automated engines that run independently, leading organizational rollouts, and ensuring crisp execution across our AI solutions practice.

This role goes beyond traditional Chief of Staff responsibilities. You'll design processes that leverage AI, build repeatable systems that scale, and lead entire client transformations from discovery to sustained adoption. You have the potential to grow into leading organizational-level AI implementations as the practice expands.

Key Responsibilities

Strategic & Executive Leadership

• Partner with the Managing Director of AI and the executive team to translate priorities into sequenced plans, resourcing, and measurable outcomes
• Lead Human Agency's AI transformation methodology: define offerings, build repeatable frameworks, and establish best practices for AI-enabled workflows
• Design end-to-end processes that embed AI tools (LLMs, automation platforms, knowledge assistants) into client workflows and internal operations
• Translate complex AI capabilities into clear business cases, use cases, and implementation roadmaps for executive audiences
• Produce high-quality executive materials (briefings, roadmaps, decision memos) that drive alignment and decisions
• Identify where AI creates leverage across client engagements and surface strategic opportunities to leadership

AI Process Design & Automated Engines

• Design and build AI-powered systems that operate independently with minimal ongoing intervention—automated engines that scale beyond individual engagements
• Create repeatable processes for AI implementation: discovery frameworks, solution architectures, evaluation routines, and governance models
• Design prompts, playbooks, and knowledge bases optimized for reliability, consistency, and reusability across multiple clients
• Implement lightweight automation using no/low-code tools (Zapier, Make, Airtable) integrated with AI capabilities
• Establish monitoring and feedback loops that enable self-correcting, continuously improving systems
• Document patterns and best practices that can be deployed at scale

Client Service Delivery & Organizational Rollouts

• Own end-to-end delivery on multiple client engagements involving AI-enabled solutions (e.g., knowledge assistants, workflow automations, content summarization, research copilots), from discovery through launch and sustained adoption
• Lead company-wide and client-wide AI adoption initiatives—managing stakeholder alignment, training, governance, and measurement across entire organizations
• Run comprehensive discovery to surface use cases, success metrics, risks, change-management needs, and technical requirements; translate findings into scopes, timelines, and clear acceptance criteria
• Coordinate solution build-outs with internal teammates and external partners: data/connectivity needs, tool selection, integration planning, prompt engineering, and rollout choreography
• Design change-management approaches that address skill gaps, cultural resistance, workflow disruption, and organizational readiness
• Partner with client leadership to sequence rollout phases, manage dependencies, and demonstrate ROI

Quality, Governance & Evaluation

• Set lightweight evaluation routines: accuracy metrics, latency benchmarks, cost tracking, quality assurance processes, and continuous improvement cycles
• Establish prompt/playbook management, basic safety/guardrail checks, and UAT plans
• Build governance frameworks that enable responsible, scalable AI adoption across organizations
• Implement monitoring systems that track performance, usage, and business impact

Stakeholder Management & Enablement

• Lead standing client check-ins, executive presentations, demo readiness, decision logs, and release notes, presenting succinct options and recommendations
• Create comprehensive enablement materials: user guides, FAQs, training programs, and governance playbooks that empower client teams to operate AI systems independently
• Build lasting client relationships through proactive communication, anticipation of needs, and consistent delivery quality
• Present to executive audiences with clarity and confidence, addressing concerns about accuracy, security, and adoption

Operations & Project Management

• Design and continuously improve the operating system for AI work: intake → triage → prioritization → delivery → QA → launch → measurement
• Manage staffing assignments and subcontractor contributions across concurrent workstreams; keep tools current (Asana/Notion, Google Workspace, Slack)
• Budget & scope control: track time against SOWs, flag changes early, manage vendors, and ensure on-budget delivery with clear documentation
• Establish shared dashboards for delivery health (timeline, risk, burn, dependency status) and run tight meeting cadences

Communications & Reporting

• Prepare agendas, briefings, and executive-ready presentations; synthesize complex information into actionable insights
• Provide clear, timely reporting to the Managing Director of AI and stakeholders on progress, risks, and decisions
• Contribute to Human Agency's AI thought leadership through documentation of best practices, case studies, and insights

Who You Are

Experience & Skills

• 5-7+ years in operations, client services, product/program/project management, strategic support, consulting, or transformation roles with direct ownership of client-facing delivery
• Demonstrated success leading multi-stakeholder projects and organizational change initiatives end-to-end (scope, timelines, budgets, risk, and change management)
• Deep AI fluency: hands-on experience implementing LLM-enabled solutions, prompt engineering, workflow automation, and knowledge management systems; can shape prompts/playbooks, evaluate quality, and choose appropriate tools or vendors
• Strong understanding of AI capabilities and limitations, when to use AI, how to design for reliability, and how to manage risks responsibly
• Proven ability to design repeatable processes and systems that scale beyond individual projects
• Experience with no/low-code automation platforms (e.g., Zapier/n8n), knowledge bases, and modern AI tooling
• High proficiency with Google Workspace, Asana/Notion, Slack, and comfort with modern web and content tools; experience preparing polished executive documents and presentations
• Exceptional ability to translate complex technical concepts into clear business value for non-technical audiences
• Bonus: Experience leading organizational-level technology rollouts, background in management consulting, familiarity with responsible AI considerations (privacy, data handling, consent, bias mitigation), or experience in AI/ML product development

Mindset & Traits

• Builder and operator: You design systems that work without constant oversight, not just execute tasks
• Strategic and tactical: Comfortable setting vision while rolling up sleeves for hands-on implementation
• AI pragmatist: Excited about possibilities but grounded in what actually delivers measurable value
• Mission-driven; systems thinker with bias for action
• Clear, persuasive communicator who can influence executive stakeholders and earn trust through delivery
• Calm under pressure with excellent judgment about when to escalate vs. solve independently
• Able to hold strategic context while driving tactical execution across multiple concurrent engagements
• Intellectually curious with strong learning agility, you stay current on AI capabilities and translate findings into practical applications
• Comfortable operating in ambiguity and creating structure where none exists

Considerations

• Education: Bachelor's degree or equivalent experience; an advanced degree in business, technology, or a related field is a plus
• Ethics: Commitment to ethical practices and responsible AI (transparency, human oversight, privacy, bias mitigation)
• Travel: Regular (20–40%) for client activities, organizational rollouts, and events
• Location: Remote-friendly with preference for candidates in major tech hubs

Compensation

This role offers a competitive base salary with performance-based bonuses and potential equity participation. Final compensation will vary based on experience, performance, and location.

Why Join Human Agency

Join a team of thinkers and builders creating meaningful impact across sectors—with autonomy to lead, the resources to succeed, and room to grow. This role offers the opportunity to shape how organizations integrate AI at scale, with clear pathways to increased leadership responsibility as our practice expands.

Equal Opportunity Commitment

Human Agency is an Equal Opportunity Employer. We value diverse backgrounds and strive to build an inclusive culture where everyone feels welcomed and empowered.

About the Role:

Groupon is rebuilding how it sells — from the ground up, with AI. The vehicle is Project Foundry: a production fleet of AI agents designed to give Groupon a parallel sales force and make every human rep sharper the moment they step into a deal. The fuel Foundry runs on is intelligence: which leads are worth pursuing, in what order, and why. That intelligence layer is what this role exists to build and own.

Reporting directly to the CSO, the AI-Powered Growth Intelligence Associate owns Groupon’s lead scoring architecture, routing logic, and pipeline forecasting. You work with one of the most data-rich commercial environments in e-commerce — proprietary consumer transaction signals, merchant health data, and years of conversion history. You don’t configure Salesforce. You extract signal from it, build models on top of it, and use AI to turn raw data into the queue every rep opens each morning. There is no separate analytics team to hand off to. You build it, you own it.

The intelligence layer you build is what Foundry's autonomous agents run on. When an AI agent sequences an outbound lead, reactivates a dormant merchant, or routes an inbound inquiry — it is working from your scoring model. When a rep opens their queue, the ranked order reflects your logic. You sit at the foundation of the AI sales architecture, not at its edge.

North Star

Turn Groupon’s raw lead data into a predictive intelligence system — so every rep opens their queue and finds the right account, in the right order, with the right context, every single day.

What You’ll Do:

• Own the lead scoring model — Design, build, and continuously refine the AI-powered scoring model that determines which leads get prioritised. Use firmographic data, behavioural signals, merchant health indicators, and conversion history to predict outcomes — not just activity.
• Define and improve lead routing — Translate scoring intelligence into assignment rules that get the right lead to the right rep at the right time. Work with the Sales Operations team on implementation; you define the logic and own the outcome.
• Build pipeline intelligence — Give the CSO and Sales leadership a live view of where pipeline is healthy, where it is at risk, and what is likely to convert this quarter.
• Run experiments on live data — Test whether a new signal improves conversion. Measure the delta. Iterate. Every change has a before/after record. You do not ship and move on.
• Mine Groupon’s data advantage — Use CRM data, call transcripts, and enrichment sources to find signals no competitor can replicate. This is Groupon’s moat. You are building on top of it.

What You Bring:

• A degree from an Ivy League or equivalent top-tier university strongly preferred — data science, computer science, economics, statistics, or a quantitative field that trained you to think in systems. Up to 2 years of professional experience.
• Hands-on fluency with Python and data tools — you have built models and connected data sources. You need to build a working pipeline without asking someone else to write the code.
• Active use of AI tools — you have used LLM APIs (OpenAI, Anthropic, or equivalent) to build something real, and you know the difference between a demo and a deployed workflow.
• Analytical rigor without a safety net — you build your own measurement frameworks. You do not accept a metric you cannot define or a result you cannot explain.
• Commercial curiosity about how leads and sales motions work — you don’t need a sales background, but you need the instinct to connect what you build to a GP outcome.

Who You Are:

• Builder first. Your instinct is to build before you ask, and to measure before you conclude.
• AI-native, not AI-curious. You use AI the way a previous generation used spreadsheets: constantly, purposefully, and with measurable output.
• Comfortable owning something fragile. You stabilize it, document it, then improve it.
• Rigorous with ambiguity. When there is no clean data, you make a reasoned call, document your assumptions, and build a way to test whether you were right.
• Commercially wired. You connect what you build to pipeline outcomes. If conversion doesn’t move, the model isn’t done.

You are early in your career. That is the point. If you don’t tick every box but you build, learn fast, and want to work on something that doesn’t yet exist — we want to hear from you.

How We Operate:

At Groupon, we build on five principles: Extreme Ownership, Speed Over Comfort, Impact Obsessed, Simplify to Scale, and Disciplined. These aren’t values on a wall — they’re how we expect everyone to show up.

In this role, these principles mean:

• Extreme Ownership — If a rep is working the wrong leads, that traces back to your model. You own the diagnosis and the fix.
• Speed Over Comfort — You ship a scoring model with 80% of the signals before waiting for perfect coverage. Every week without better lead intelligence has a real cost to pipeline.
• Impact Obsessed — Lead-to-opportunity conversion is your north star metric. Everything else is a proxy.
• Simplify to Scale — A routing algorithm no one understands won’t be trusted. You build for clarity.
• Disciplined — You build measurement into every model before you ship it. If you cannot tell whether it’s working, you don’t call it done.

How We Measure Your Success:

• Lead-to-opportunity conversion rate — sustained improvement against baseline, tracked monthly.
• Routing accuracy — percentage of leads assigned to the right rep on first touch.
• Pipeline forecast accuracy — variance between model output and actual conversion, at CSO level.
• Model iteration cadence — how quickly the scoring model is updated when signals degrade.
• First working model in production by day 90, with a documented hypothesis and performance data.

Compensation & Benefits:

• Base salary: 90k-120k base + 10% ABP Bonus 
• Location: Downtown Chicago (hybrid, 3 days a week in-office)
  • Alternate locations: Can be remote for the right fit, NYC strongly encouraged
• Benefits start the 1st of the month after your start date — Medical, Dental, Vision, Life Insurance, Disability, FSAs, EAP, 401(k) match, ESPP, flexible PTO, and more
• Employee Resource Groups & inclusive team culture

This is Adyen

Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. 

For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster.

Why you should join the Adyen Integration Enablement Team

Adyen is growing fast and the Integration Enablement team builds products to help customers integrate fast and efficiently into its APIs and test their integration. The team works on products like surfacing the quality of their integration before going live to various kinds of simulators. We work closely with our customers, regularly meeting them and talking to developers from their side. As the world moves towards more AI, this team is at the forefront of how integration experience is evolving between companies and LLM agents. This engineering team is embedded within our Developer Experience group in the Customer Experience organization.  

Sounds exciting? Keep reading!

What You’ll Do:

• You will be primarily working on the user interfaces for the team using VueJS to help us scale our business by providing the best possible user experience for users of our product.
• You will be responsible for the full life cycle of your developments. This includes architecture, communicating with stakeholders to understand requirements (product owners, product designers, merchants etc), automated testing, iterating purposefully, and monitoring the impact of your projects. You will collaborate with backend developers on API design and user flows.
• You will have the freedom to identify and improve parts of the platform to make it more consistent, robust and scalable.
• There are Frontend developers in many teams and there are a few core teams that enable the larger frontend community. Keeping in sync with this group is important for maintaining our scalability. You will collaborate across streams and time zones and all frontenders can contribute architecturally to core components as well leading to a short path to having a large impact.  

Who You Are:

• You have at least 5+ years of experience with building things in JavaScript and solid experience in Vue.js.
• You recognize yourself in the Adyen Formula: being open minded, having a proactive attitude, always trying to make it work while keeping the bigger picture in mind.
• You actively share your knowledge and enthusiasm to develop yourself and your team.
• You are comfortable with asking and receiving constructive feedback from your colleagues regularly.
• You’re able to independently gather technical requirements and create a plan to execute those requirements.
• You are not allergic to backend code.
• You are a strong team player, you like to connect and communicate in person with your team members and other stakeholders to come to the best solution.
• You are available to travel to Amsterdam to our HQ 2 times a year.
• Office First Culture: We love working together! Due to our hybrid work model, we expect you to come to the office at least three days per week.
• Able to communicate in English

Our Diversity, Equity and Inclusion commitments 

Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen. 

Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application!

What’s next?

Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility.

Adyen is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.

All your information will be kept confidential according to EEO guidelines.

This role is based out of our Chicago office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.

At Fever, we’re building something exceptional—combining strategy, creativity, and the power of advanced technology to redefine what’s possible in organic search.  By partnering with world-class Product, Engineering, Data and Marketing teams, we leverage cutting-edge tools and data-driven insights to deliver exceptional performance and measurable impact across major search engines and dynamic digital ecosystems.

About the Role:

• You'll be the expert in technical SEO for our transactional ecosystems (feverup.com, white label websites and other Fever group websites) reporting directly to the SEO Manager.
• Analysis, definition and optimisation of the information architecture
• Strong Technical Skills (Crawling, Indexing, Structure data, Core web vitals, HTML, CSS, CDN performance, APIs Automatition…)
• Ensure optimal bot accessibility for the best processing for traditional search engines and LLMs.
• Be up to date with the latest changes on search industry to be able to propose quick actions adapting our sites so that they comply with the latest SEO/GEO requirements
• Take ownership of monitoring, establishing success KPIs and tracking methodologies, including large-scale log analysis with dashboarding and alerting systems (ELK, BigQuery, Splunk or similar).
• Partner with Data, Product and Systems to execute against our technical roadmap
• Design, implement and iterate experiments to increase traffic/ranks at a rigorous pace
• Audit and measure our engineering developments and implement changes to prevent visibility losses on search ecosystems.

About You:

• Proven experience as a technical SEO for ecommerce or similar (at least 5 years working with high traffic websites) and experience providing results from actions
• Experience working with international sites, adapting the global SEO strategy according to the needs of local markets
• Proactive or independent profile capable of self-management
• Being data-driven and kind of a data-geek: clear understanding of data, analytics and metrics with the ability to make data-driven recommendations of actions
• Hands-on experience applying AI/LLMs to build SEO solutions, automate workflows and enhance productivity
• Thorough knowledge of search engine ranking factors, including emerging LLM-powered search ecosystems (RAG, citations, query fan-out) and their optimization strategies
• Knowledge of HTML, JS and CSS required
• Critical thinker and problem-solving skills
• Familiar with industry-standard & enterprise SEO software
• Possess up-to-date knowledge and maintains current SEO practices
• Strong personal ownership, High level of initiative and work well in a team environment
• Excellent Spanish & English written and oral communication skills

Valuable Requirements:

• Understanding of Google Apps Script and Python.
• Knowledge of SQL for data exploitation 
• Experience on workflows automation
• Experience managing teams

Benefits & Perks:

• Attractive compensation package consisting of base salary and the potential to earn a significant bonus for top performance.
• Opportunity to have a real impact in a high-growth global category leader
• 40% discount on all Fever events and experiences
• Work in a location in the heart of Madrid
• Home office friendly
• Responsibility from day one and professional and personal growth
• Great work environment with a young, international team of talented people to work with!
• Health insurance and other benefits such as Flexible remuneration with a 100% tax exemption through Cobee.
• English and Spanish Lessons
• We have free  food, drink and fruit at the office!
• Wellhub Membership
• Possibility to receive in advance part of your salary by Payflow

#LI-Hybrid

At Fever, we’re building something exceptional—combining strategy, creativity, and the power of advanced technology to redefine what’s possible in organic search.  By partnering with world-class Product, Engineering, Data and Marketing teams, we leverage cutting-edge tools and data-driven insights to deliver exceptional performance and measurable impact across major search engines and dynamic digital ecosystems.

About the Role:

Forget about acronyms like SEO, GEO, AEO or AEO, we care about impact. We're seeking an AI Search Innovation Strategist obsessed with digging into how LLMs build their answers and defining how to measure it. You'll be focused on testing new tools, MCPs, and platforms, evolving SEO discipline to maximize our brand's authority in the next era.

• Own the strategic evolution of core SEO practices by integrating methods to secure our brand’s authoritative presence across all major LLMs and AI search results.
• Lead testing and measurement: Design and execute testing to decipher how established SEO signals influence LLM citations and generative presence.
• Design and maintain the analytical framework to measure AI visibility performance. Proactively integrate new data sources, external and internal, and provide methodologies to ensure accurate reporting.
• Collaborate intensively with Product and Engineering to ensure our data schema, site architecture, and API feeds are optimally engineered for seamless ingestion and prioritization by AI models.
• Continuously evaluate all new LLM releases, AI models, and emerging platforms (including MCPs), translating industry developments into actionable testing strategies.
• Design and execute PR and community conversation strategies to accelerate and measure LLM perception.

About You:

• You hold a Bachelor’s or Master’s degree in Engineering, Mathematics, Statistics, Data Analytics or Big Data (STEM degree)
• You bring to the table 3-5 years of relevant experience on SEO, demonstrating ownership, attention to detail, and a proactive, self-motivated approach to problem solving
• Strong analytical and quantitative skills as well as a strong bias towards data-based decision
• Your exceptional written and verbal communication skills enable you to excel in cross-functional collaboration and effectively convey complex concepts to diverse audiences with varying backgrounds
• Working knowledge in Python, JavaScript, or other programming languages is required and familiarity with SQL is a plus
• Proficiency in both written and spoken English is a must, while knowledge of additional languages is a valuable asset.

Benefits & Perks:

• Attractive compensation package consisting of base salary and the potential to earn a significant bonus for top performance.
• Opportunity to have a real impact in a high-growth global category leader
• 40% discount on all Fever events and experiences
• Work in a location in the heart of Madrid
• Home office friendly
• Responsibility from day one and professional and personal growth
• Great work environment with a young, international team of talented people to work with!
• Health insurance and other benefits such as Flexible remuneration with a 100% tax exemption through Cobee.
• English and Spanish Lessons
• We have free  food, drink and fruit at the office!
• Wellhub Membership
• Possibility to receive in advance part of your salary by Payflow

#LI-Hybrid

HPC Data Center Production Engineer
Location: Chicago or New York (On-site 5 days/week)
Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.
Trading Infrastructure is a global organization of Engineers who architect, build and maintain our world-class infrastructure. From colo design/implementation, to optimizing our exchange connectivity, to building world class low latent Wide Area Networks, we leverage research and automation to consistently adapt and innovate our infrastructure to scale and drive our trading and evolving business.
We are looking for an HPC Data Center Production Engineer to build and own the automation and tooling that powers Jump's HPC data center operations. This is a development-heavy role focused on automating the onboarding and lifecycle management of data center hardware—servers, switches, rack PDUs, CDUs, and environmental sensors—and building tools for capacity planning, outage simulation, monitoring, and metrics integration. You will work hand-in-hand with the HPC Planning, Engineering, and Operations leads to turn tooling and monitoring vision into production-ready systems. Heavy, daily use of AI tools is expected to accelerate development and raise the quality bar on everything you build.
What You'll Do:
Hardware Onboarding Automation

• Design, develop, and maintain automation to onboard new hardware devices into Jump's HPC data centers, including servers, network switches, rack PDUs, CDUs, and environmental sensors.

• Build end-to-end provisioning workflows that take hardware from racked-and-cabled through discovery, configuration, validation, and production-ready state with minimal manual intervention.

• Extend and adapt onboarding automation as new hardware platforms and device types are introduced.
  Data Center Tooling Development

• Develop tools for power and cooling capacity planning—enabling the operations and planning teams to model current utilization, forecast growth, and identify constraints before they become problems.

• Build outage simulation tooling to model the impact of power, cooling, or network failures across HPC facilities and validate redundancy/failover configurations.

• Develop and maintain operational tooling that supports day-to-day data center workflows such as hardware lifecycle tracking, data center inventory/spares, change management, and diagnostics.
  Monitoring & Metrics Integration

• Build and maintain monitoring integrations for HPC data center infrastructure—pulling telemetry from servers, switches, PDUs, CDUs, environmental sensors, and facility systems into centralized observability platforms.

• Integrate metrics feeds from colocation and data center providers into Jump's monitoring stack, normalizing data for alerting and capacity reporting.

• Work with the Operations Lead to implement the monitoring and alerting strategy, translating requirements into deployed, production-grade instrumentation.
  Cross-Team Collaboration

• Work very closely with the HPC Planning, Engineering, and Operations leads to understand tooling and monitoring needs and bring their vision to fruition.

• Partner with HPC Engineering on integration points between data center automation and compute/storage/network provisioning systems.

• Translate operational pain points and manual processes into automated, maintainable solutions.
  Systems Maintenance & Reliability

• Own the reliability and lifecycle of all systems and tools you develop—monitor for failures, respond to issues, and iterate based on operational feedback.

• Maintain comprehensive documentation for all tooling, automation workflows, and integrations.

• Participate in large, coordinated maintenance operations, including during evenings and weekends.
  AI-Driven Development

• Use AI tools daily across all aspects of the role: writing and reviewing code, analyzing data, debugging, generating documentation, and accelerating development velocity.

• Identify opportunities to apply AI to data center operations problems—anomaly detection, predictive capacity planning, intelligent alerting, and beyond.
  Additional duties as assigned or needed.
  Skills You'll Need:

• 5+ years of professional experience in production engineering, infrastructure automation, or site reliability engineering, preferably in HPC or large-scale data center environments.

• Proven track record of building and shipping production automation and tooling—not just scripts, but maintained, reliable systems.

• Experience automating hardware provisioning and lifecycle management (servers, network devices, power/cooling infrastructure).

• Strong understanding of data center infrastructure: power distribution, cooling systems (air and liquid), environmental monitoring, and structured cabling.

• Experience integrating with hardware management interfaces (IPMI/BMC/Redfish, SNMP, vendor APIs) for discovery, configuration, and telemetry collection.

• Demonstrates a high level of energy, results driven, and able to work under pressure with tight deadlines.
  Technical Skills:

• High proficiency in Golang and at least one additional language (e.g., Python). You will write a lot of code in this role.

• Strong Linux systems knowledge—you should live in Linux. Proficient with system administration, networking, storage, process management, log analysis, and troubleshooting at the OS level.

• Experience with Grafana for building dashboards, alerting, and visualization of infrastructure metrics. Experience with Prometheus, InfluxDB, or similar observability platforms and building custom integrations/exporters.

• Experience with configuration management and infrastructure-as-code tools (SaltStack, Ansible, Terraform, or similar).

• Solid understanding of networking concepts: L2/L3 protocols, VLANs, BGP, SNMP, and switch/router configuration (Arista, Cisco).

• Experience with APIs and data integration—consuming vendor APIs, normalizing heterogeneous data sources, building data pipelines for metrics and reporting.

• Experience with ClickHouse and MySQL—writing queries, designing schemas, and building tooling that reads from and writes to these databases.

• Experience with GitHub for version control, code review, CI/CD workflows, and collaborative development.

• Demonstrated heavy use of AI tools (e.g., LLM-based coding assistants, AI-driven analytics) in a professional setting. You should already be using AI daily and be eager to push its application further.

• A compulsion to perform root cause analysis.

• Excellent written and verbal communication skills with the ability to work across a global engineering team.

• Extremely high personal standards for work quality.

• Reliable and predictable availability, including ability to work evenings and weekends as required.

• Bachelor's degree preferred.

Who We Are (Mode Mobile)

Mode Mobile is the creator of EarnOS, a transformational software that turns ordinary smartphones into "EarnPhones." This innovation empowers users globally to monetize everyday mobile activities such as streaming, gaming, shopping, etc. We enable users to profit from their data and attention rather than letting only tech giants benefit. Our inclusive approach sets us apart - converting users into earners and facilitating over $150M in earnings and savings while going a step further and turning earners into owners by awarding stock ownership in Mobile Mobile based on their usage. We have attracted over 40 million users across 170 countries.  

​​Mode Mobile is proud to stand as the #1 Fastest-Growing North American Software Company recognized in Deloitte's 2023 Technology Fast 500 and ranked #2 across all sectors.

For additional insights, check out the information about our reward-based super app, Mode Earn App, which also powers the reward engine behind our proprietary smartphone, Mode Earn Phone.

Our Team and Culture Drive Our Success

Our team is the heart of our culture.  We value innovation, collaboration, and curiosity, with a passion for getting things done.  We strive to hire and cultivate the best team members and foster a culture of open communication and transparency.  We are driven and hard-working but also committed to having fun along the way.  We allow OKRs to guide us, assume positive intent, sometimes agree to disagree and commit, honor our commitments, seek to accomplish more with less, and encourage everyone to speak up as our team owns our company’s success.

You can read more about our team and how we work here.

The Opportunity

The new Market Research business unit will be focused on data monetization, market intelligence, and research-driven revenue. The General Manager of Mode Market Research will build this business from the ground up, own multiple revenue streams, and turn underutilized data assets into meaningful profit centers. We are looking for a founder-minded General Manager to build this business from zero to recurring, enterprise-grade revenue.

The GM of Mode Market Research will own four data monetization segments and one existing web product. The mission is to create revenue lines, structure partnerships, collaborate with the Chief Data Officer and product teams, and scale each business into an independent profit engine with dedicated staff. The first phase is hands-on execution. Hiring follows once revenue baselines are met. This role blends data strategy, partnerships, product execution, and full P&L responsibility.

This is not a traditional management role. This is a revenue-building, hands-on operator role with full ownership.

AI & Data Innovation Ownership

• Design and implement AI-driven data products, including predictive models, LLM-powered insights, and automated reporting tools
• Leverage modern AI stacks (e.g., LLMs, embeddings, vector databases) to transform raw datasets into scalable intelligence products
• Identify opportunities to replace manual workflows with agentic AI systems that accelerate revenue generation
• Partner with the Chief Data Officer to integrate AI capabilities into Mode’s data infrastructure and EarnOS ecosystem

What You’ll Own

Audience and Profile Data Monetization

Build Mode’s audience and profile data business by defining datasets, structuring a centralized data lake, and partnering with major marketplaces.

• Monetize email lists, user profiles, and audience data across Mode’s product portfolio
• Partner closely with the Chief Data Officer to structure scalable data pipelines
• Establish and manage partnerships with data marketplaces and identity platforms (e.g., LiveRamp, Experian, and similar platforms)
• Build revenue before adding dedicated sales support

Receipt Scanning and Commerce Intelligence

Turn existing receipt-scanning and Trimbox shopping data into institutional-grade purchase intelligence.

• Standardize purchase and transaction data across Mode product lines
• Collaborate with the Chief Data Officer and product teams to ensure data quality, consistency, and usability
• Establish direct sales relationships and channels with hedge funds and research buyers

App Usage, Installed App Graph, and Web Behavior

Scale Mode’s market-data business by selling insights directly to enterprise buyers.

• Expand Mode’s app usage and behavioral intelligence offerings beyond SDK-based monetization 
• Co-own the vertical in partnership with the GM of Mode Earn App
• Work with the Chief Data Officer to improve data completeness, coverage, and reliability

Location Data Monetization

Rebuild Mode’s geo-data revenue line and expand it with new high-value partners.

• Identify up to three profitable location-data partners
• Work with the product org on integration
• Co-own this vertical with the GM of Earn App

Who You Are

You are a founder-style builder who:

• Has built or scaled 6-7 figure ARR in data, SaaS, or analytics businesses
• Has sold directly to enterprise or institutional buyers
• Thinks in terms of margin and lifetime value
• Is comfortable operating without a large team
• Moves quickly and eliminates ambiguity
• Understands privacy frameworks and data governance standards

You are as comfortable closing a contract as you are defining the product.

Success Profile

The ideal candidate collaborates closely with product, data, business development, and revenue. You’ll execute quickly, eliminate ambiguity, and build repeatable revenue lines from assets that already exist within the business. You are comfortable starting as an operator and evolving into a leader who hires and manages a small team.

Why Join Mode Mobile

• Be part of a company where the culture is the magic. Our team consistently says the best part of Mode is the people - collaborative, humble, hungry, and genuinely invested in each other’s success.
• Make an impact on millions of users across a global social platform with massive scale and cultural relevance.
• Work with a global, top-tier engineering team that cares deeply about craftsmanship, velocity, and helping each other win.
• Shape the next stage of a high-growth social platform, entering an exciting next phase of growth, scale, and innovation.
• Join a mission-driven culture where ownership is real, ideas travel fast, and your work has a visible impact.
• Grow inside a fast-growing, post-acquisition business backed by strong leadership and investment in monetization, UA, and product innovation.
• Work fully remote with a globally distributed team that values autonomy, trust, and transparent collaboration.

Alignment with Our Core Values:

• ​​Accountable: You take ownership of your responsibilities, demonstrating trustworthiness and self-discipline. You are consistent in your work, transparent in your actions, and communicate effectively. You follow through on commitments and strive for continuous improvement.
• Action-driven: Identify what is most important, agree on scope, execute in a timely manner, and drive the greatest impact.  You take initiative, roll up your sleeves, and get things done.
• Caring: You genuinely care about yourself and others, our business and craft, our mission and vision, and are passionate in heart and mind. You understand the importance of our team and strive to create a positive, supportive work environment.
• Curious: You focus on the ‘why,’ learn and expand your knowledge, explore new ideas, and generally make things better.  You're a lifelong learner with a thirst for knowledge and a constant desire to improve.
• Thorough: Your work is thoughtful, impactful, timely, accurate, and complete.  You pay attention to detail, are meticulous, and ensure quality work and compliance.

We Believe in the Following Workplace Norms

• Allow OKRs to Guide Us
• Assume Positive Intent
• Agree to Disagree & Commit
• Set New Precedents
• Accomplish More with Less
• Hold Yourself & Others to High Standards
• Speak Up
• Be Resourceful
• Follow the 80/20 Rule

What We Are Offering

• We are a 100% remote-first, global company.
• A competitive compensation package.
• We offer generous perks & benefits to team members. 
• Participation in the Company's equity plan (for full-time team members).
• We provide individual bonuses in accordance with our Company Bonus Program.
• Work with energetic, passionate, and results-driven people.
• Celebrate team members' personal and work milestones.
• Remote social activities, including virtual coffee buddies. 
• Bonusly - We use Bonusly as a way to recognize and reward team members for their hard work and commitment.
• Weekly Wednesday Get Stuff Done Days (No Meetings).
• Open PTO, generous Company Holidays, and Wellness Days (for full-time team members).

If we just described you and your perfect role, we'd love to talk with you.  We have a lot to accomplish this year and look forward to making headway and creating success together!

Mode Mobile does not accept/pay fees for unsolicited resumes from third-party agencies/vendors.

Our company is an Equal Employment Opportunity (EEO) employer. We are committed to providing a work environment free of discrimination and harassment. All employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. We celebrate diversity and strive to create an inclusive environment for all team members.

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

Jump's infrastructure team is a global organization of Engineers who architect, build, and maintain our world-class infrastructure. From colocation design and implementation, to optimizing exchange connectivity, to building low-latency wide area networks and world-class HPC research clusters, we leverage research and automation to consistently innovate and scale our infrastructure to drive our trading and evolving business.

We are looking for an experienced Electrical Engineer to lead the electrical engineering design and oversight of Jump's mission-critical HPC data center infrastructure. This role takes responsible charge of power system design, from medium voltage distribution through high-density rack-level delivery, across new builds, expansions, and ongoing operations. You will establish electrical design standards, perform engineer-of-record duties, and work closely with mechanical, structural, and technology teams to ensure integrated, resilient system design for our high-performance computing environments.

What You'll Do:

Electrical System Design & Standards
- Lead the electrical engineering design for Jump's critical HPC data center infrastructure projects, taking responsible charge for overall project delivery and technical excellence.
- Design/Review plans for  complex power systems including generator plants, medium voltage distribution, uninterruptible power systems, automatic transfer systems, and redundant power architectures for mission-critical facilities.
- Develop initial electrical system concepts and establish design standards, specifications, and criteria for data center projects.
- Perform calculations, equipment selection, equipment specification, system design, and system layout for high-density computing environments.
- Produce high-quality technical deliverables including drawings, specifications, and reports consistent with Jump requirements and industry standards.

Engineer of Record & QA/QC
- Perform Engineer of Record duties and assume responsible charge for electrical discipline deliverables.
- Serve as engineer of record for electrical power striping from RPPs/busways to device cabinets, ensuring correct phase balancing, circuit allocation, and redundancy across high-density HPC environments.
- Participate in QA/QC processes and technical reviews of work produced by team members and external partners.
- Conduct due diligence reports, gap analyses, and feasibility studies for new data center sites and expansions.

Project & Team Leadership
- Lead multi-discipline project teams and coordinate with mechanical, structural, and technology teams to ensure integrated system design.
- Establish and manage project budgets, schedules, and resource allocation for assigned projects.
- Mentor and train junior engineers while providing technical leadership and guidance.

Construction & Field Operations
- Perform field investigations, construction administration, and commissioning oversight.
- Process and review RFIs, change orders, bulletins, and addenda during construction phases.
- Evaluate existing site conditions and provide detailed assessment reports.

Vendor & Stakeholder Management
- Interface with colocation providers, contractors, equipment vendors, and manufacturers throughout the project lifecycle.
- Support business development activities and maintain relationships with key stakeholders.

AI-Driven Engineering
- Use AI tools daily to accelerate design work, perform calculations, analyze power data, draft documentation, and improve engineering workflows.
- Identify opportunities to apply AI across electrical design and operational processes.

Codes, Standards & Continuing Education
- Maintain current knowledge of electrical codes, industry standards, and emerging technologies relevant to data center design.
- Stay current with LEED principles and their application to data center environments.

Additional duties as assigned or needed.

Skills You'll Need:

- Bachelor's degree in Electrical Engineering or Architectural Engineering with electrical building systems emphasis from an accredited university.
- Professional Engineer (PE) license required.
- EIT credential required if PE not yet obtained.
- Minimum 7+ years experience designing electrical systems for mission-critical facilities, data centers, or high-performance computing environments, preferably in a consulting or end-user engineering capacity.
- Proven track record as lead project engineer capable of directing technical teams and managing complex projects.
- Experience interacting with clients, contractors, architects, and cross-functional project teams.
- Demonstrates a high level of energy, results driven, and able to work under pressure with tight deadlines.
- Excellent written and verbal communication skills with ability to interface with technical and non-technical stakeholders.
- Strong project management skills including proposal writing, budget management, and stakeholder relations.
- Attention to detail, highly organized, self-starter with ability to manage multiple projects simultaneously.

Technical Skills:

- Expert knowledge of electrical systems including medium/low voltage distribution, emergency power systems, UPS systems, and grounding.
- Experience with data center-specific requirements including redundancy levels (N, N+1, 2N), concurrent maintainability, fault tolerance, and high-density power distribution.
- Proficiency with Revit and AutoCAD MEP for electrical design and Building Information Modeling (BIM).
- Ability to read and review floor plans, sections, elevations, and visualize systems in 3D space.
- Strong working knowledge of electrical codes and standards (NEC, NFPA, IEEE).
- Understanding of LEED principles and their application to data center environments.
- Programming/scripting experience (Python preferred) is a plus.
- Demonstrated heavy use of AI tools (e.g., LLM-based assistants, AI-driven analytics) in a professional setting. You should already be using AI daily and be eager to push its application further.
- Extremely high personal standards for work quality.
- Reliable and predictable availability, including the ability to work evenings and weekends as required.

HPC Infrastructure Operations Lead

Location: Chicago or New York (On-site 5 days/week; regular travel to HPC data center sites required)

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

Trading Infrastructure is a global organization of Engineers who architect, build and maintain our world-class infrastructure. From colo design/implementation, to optimizing our exchange connectivity, to building world class low latent Wide Area Networks, we leverage research and automation to consistently adapt and innovate our infrastructure to scale and drive our trading and evolving business.

Jump's HPC infrastructure powers some of the most demanding computational workloads in the industry. As our HPC footprint grows, we need a seasoned operations leader to own the reliability, standards, and day-to-day excellence of these environments. This role leads the teams that keep the lights on across Jump's HPC data centers, ensuring maximum uptime through disciplined operations, proactive maintenance, and deep technical expertise in critical facility systems. Heavy, daily use of AI tools is expected in this role—to accelerate decision-making, automate operational workflows, analyze data center telemetry, and continuously raise the bar on how the team operates.

What You'll Do:

Team Leadership & Organizational Ownership
- Lead and manage data center site leads and their teams across multiple HPC facilities; site leads report directly to this role.
- Recruit, mentor, and develop team members while conducting performance reviews and building a culture of operational rigor.
- Direct onsite contractors by providing clear scope and validating completed work.

HPC Data Center Standards, Processes & Preventative Maintenance
- Develop, document, and enforce operational standards and procedures for Jump's HPC data centers covering power, cooling, cabling, and hardware lifecycle.
- Design and own the preventative maintenance program, including scheduled inspections, component replacements, and firmware/capacity reviews to minimize unplanned downtime.
- Drive continuous improvement of operational processes and pursue automation—including AI-driven approaches—to reduce manual effort and human error.

Critical Facility Systems Expertise
- Serve as the subject matter authority on HPC data center power distribution, power striping strategies, and failover/redundancy configurations.
- Own expertise across air cooling, liquid cooling (direct-to-chip, rear-door, CDU-based), and hybrid cooling architectures.
- Maintain deep knowledge of environmental monitoring and controls (temperature, humidity, airflow, leak detection) and ensure systems remain within design parameters.

Monitoring & Incident Response
- Own the HPC data center monitoring strategy end-to-end: define what is monitored, set alerting thresholds, and ensure comprehensive visibility into facility and hardware health.
- Leverage AI tools to analyze telemetry data, identify failure patterns, predict potential issues, and accelerate root cause analysis during incidents.
- Lead critical incident response and drive root cause analysis and corrective actions to prevent recurrence.
- Establish and track operational KPIs including availability, mean time to repair, and efficiency metrics.

Server & Switch Hardware Expertise
- Maintain deep, hands-on knowledge of server hardware architectures including multi-socket platforms, GPU/accelerator configurations, memory subsystems, NVMe/storage controllers, BMC/IPMI management, and firmware lifecycle.
- Maintain deep, hands-on knowledge of network switch hardware including line cards, optics/transceivers, switch fabrics, and platform-specific diagnostics for Arista and Cisco platforms.
- Evaluate new hardware platforms, drive hardware qualification and acceptance testing, and provide informed recommendations on hardware selection.

Hardware Break-Fix
- Own the overall hardware break-fix function across all HPC sites, ensuring rapid diagnosis and resolution for servers, GPUs, network equipment, storage, and facility infrastructure.
- Diagnose complex hardware failures at the component level—CPUs, DIMMs, GPUs, NICs, PSUs, fans, drives, switch line cards, and optics—and direct the team to resolve efficiently.
- Establish escalation paths, SLA targets, and reporting for hardware failures.

Inventory & Spares Management
- Own inventory processes and spares tracking across all HPC facilities, ensuring critical spares are stocked, tracked, and replenished to meet availability targets.
- Maintain accurate asset records for all serialized and consumable inventory.

Planning, Vendor & Budget Management
- Conduct capacity planning for space, power, cooling, and cabling to stay ahead of growth.
- Gather requirements and plan new hardware installations including physical placement, power/cooling needs, and cabling.
- Manage relationships with colocation providers and hardware vendors; negotiate contracts and SLAs.
- Develop and manage operational budgets for equipment, staffing, and facilities.

Networking & Linux
- Possess strong working knowledge of networking concepts including L2/L3 protocols, VLANs, BGP, OSPF, LACP, ECMP, and high-performance fabrics relevant to HPC environments.
- Understand network architectures such as spine-leaf, fat-tree, and high-radix topologies used in HPC clusters.
- Maintain strong Linux systems knowledge—comfortable navigating and troubleshooting at the OS level, including storage, networking, process management, log analysis, and system diagnostics.

AI-Driven Operations
- Use AI tools daily across all aspects of the role: writing and reviewing documentation, analyzing operational data, drafting procedures, managing communications, and problem-solving.
- Champion AI adoption within the team—set the expectation that every team member integrates AI into their daily workflows.
- Identify and implement opportunities where AI can replace or augment manual operational processes.

Cross-Team Partnership
- Partner with HPC Engineering, Network Engineering, and other teams to align operations with research and business needs.
- Ensure compliance with all safety, security, and regulatory requirements.

Travel
- Travel regularly to Jump's HPC data center sites for operational oversight, project execution, and team engagement. This is a core requirement of the role.

Additional duties as assigned or needed.

Skills You'll Need:

- Minimum 7+ years of data center operations experience with at least 3 years leading teams in 24/7 critical infrastructure environments. HPC environment experience strongly preferred.
- In-depth knowledge of data center power systems, power distribution/striping, and failover/redundancy architectures.
- In-depth knowledge of cooling technologies including air cooling, liquid cooling (direct-to-chip, rear-door heat exchangers, CDUs), and environmental control systems.
- Proven experience building and maintaining preventative maintenance programs and operational standards/procedures.
- Strong experience with data center monitoring platforms (DCIM, BMS, environmental sensors) and defining monitoring/alerting strategies.
- Demonstrates a high level of energy, results driven, and able to work under pressure with tight deadlines.

Technical Skills:

- Deep knowledge of server hardware architectures: multi-socket platforms, GPU/accelerator systems, memory subsystems, NVMe storage, BMC/IPMI, and firmware management.
- Deep knowledge of network switch hardware: line cards, optics/transceivers, switch fabrics, and platform diagnostics across Arista and Cisco platforms.
- Proven hardware break-fix experience with the ability to diagnose failures at the component level (CPUs, DIMMs, GPUs, NICs, PSUs, drives, line cards, optics).
- Strong understanding of networking concepts: L2/L3 protocols, VLANs, BGP, OSPF, LACP, ECMP, and HPC network topologies (spine-leaf, fat-tree).
- Strong Linux systems proficiency—well beyond basic CLI usage. Comfortable with OS-level troubleshooting, storage and network configuration, process management, log analysis, and system diagnostics.
- Experience managing inventory and spares programs for critical infrastructure.
- Structured cabling standards expertise.
- Programming/scripting experience (Python preferred) is a plus.
- Demonstrated heavy use of AI tools (e.g., LLM-based assistants, AI coding tools, AI-driven analytics) in a professional setting. You should already be using AI daily and be eager to push its application further across operations.
- Strong project management skills with multi-site infrastructure deployment experience.
- Knowledge of industry standards including ASHRAE and TIA-942.
- Excellent written and verbal communication skills with the ability to communicate effectively across technical and non-technical audiences.
- Meet physical requirements including working on ladders/elevated platforms and lifting up to 50 lbs.
- Extremely high personal standards for work quality and operational discipline.
- Reliable and predictable availability, including ability to work evenings and weekends as required.
- Willingness and ability to travel regularly to data center sites.
- Bachelor's degree preferred.

What we do

Our Lead Senior Staff Software Engineers are end-to-end owners who will participate in all aspects of designing, building, and delivering the foundational experiences that make The Trade Desk platform exceptional for the traders who rely on it every day.

The Desk Fundamentals team sits within the Core Workflows engineering organization and owns the platform UI framework that the rest of our buying-side engineering teams build on top of. Our mission is straightforward but demanding: deliver consistent experiences, logical navigation, and user-friendly page components at platform scale. We own the shared design patterns and frontend frameworks that empower other teams to ship features quickly and reliably. We build and evolve the Portfolio Views that give traders clarity into performance across partners and advertisers. We maintain the Programmatic Table — one of the highest-traffic surfaces on the platform — and we are the team that sets the bar for what quality looks like across The Trade Desk's core product.

At The Trade Desk, we believe that each opportunity to engage with all internal and external stakeholders is unique. This means that based on your interests and background, you will have the opportunity to work on large-scale, distributed systems — for example, coordinating thousands of servers in cloud and physical data centers around the world, petabyte-scale data challenges, advanced data visualizations, and interactive user interfaces, to name a few.

Our system performs every day, 24/7, serving global traffic. It's important that we focus on quality at scale in an agile environment based on collaboration, ownership, and trust. Our software engineering teams fully own their charter to work on long-term roadmaps while enhancing existing features or tools and continuously improving efficiency.

What you’ll do

It's the best of both worlds — you'll get a chance to exercise your technical leadership and build up your people management and leadership skills. Some of the work that you will be doing to help us deliver on our mission includes the following:

Technical leadership

• Actively review designs, code, and architecture across the team's surface area, from the platform framework to the data-rich tables and panels that traders use every day.

• Deliver meaningful, technical, and hands-on contributions to the team's objectives, from architectural decisions on our shared UI framework to concrete pull requests.

• Understand strategic business priorities and communicate with the team on how their work connects to the broader roadmap and company goals.

• Drive the technical direction for how other engineering teams within Core Workflows — and across the broader organization — build on top of the platform framework the Desk Fundamentals team owns.

Project level processes and execution

• Collaborate with the PM team to develop the roadmap and MVP plans, translating complex UX and platform consistency challenges into clearly scoped, executable engineering work.

• Develop execution plans including resources, milestones, and timelines for roadmap initiatives.

• Define and track the business KPIs and user-facing metrics that connect the team's engineering work to meaningful outcomes, ensuring the team understands the impact of what they ship.

• Continuously analyze and optimize team efficiency, removing blockers and ensuring the team ships with quality.

• Establish and deliver on team commitments, and communicate important developments and changes to area leadership and other stakeholders.

• Measure and maintain the quality of the team's contributions, including platform reliability, consistency, and developer experience for the teams building on top of what we own.

People management

• Manage a small team of talented engineers, serving as both their technical leader and their people manager.

• Help team members develop career growth plans and accelerate toward their next level.

• Give regular and effective feedback, and hold weekly 1:1 meetings with direct reports.

• Conduct annual reviews and make compensation recommendations.

• Foster an inclusive, psychologically safe team culture where diverse perspectives are genuinely valued.

Who you are

Our culture is much deeper than just having fun together (though we do that well, too). We take pride in our engineers being trust-builders, generous givers, scrappy problem solvers, and gritty pursuers of excellence. You do not have to meet all the requirements below, but we believe that people who meet most of them will have a higher likelihood of succeeding in this role:

• You have a solid understanding of SDLC (Software Development Life Cycle), DevOps, and agile methodologies.

• You have a solid understanding of cloud computing and the trade-offs of large-scale, distributed web applications.

• You have a solid understanding of design patterns and software architecture, including frontend systems design and component-based architectures.

• You have experience contributing to the professional growth of software engineers, and a proven track record of growing multiple senior engineers and tech leads.

• You have experience providing technical and project leadership of initiatives involving multiple teams, including platform or framework work where your team's decisions directly affect the velocity and quality of teams outside your own.

• You have experience leading and completing projects with a high degree of technical ambiguity.

• You have experience driving major, strategic, company-wide initiatives with significant risk.

• You have experience hiring and conducting interviews.

• You are proficient in one or more of the following programming languages: TypeScript/JavaScript, C#, Java, C, C++, Python, SQL, or Scala.

• You have 13+ years of software development engineering experience.

• You have 1+ years of experience directly managing people.

• You have a Bachelor's/Master's level degree in computer science or a relevant engineering-related field, or equivalent experience. Not everyone has the same level of access to opportunities. What is most important to us is what and how you can contribute, which is why our consideration is not limited by the level of education you have.

• You have additional nice-to-have experience in the following areas: full-stack web development, frontend framework design, data visualization and table-heavy UI systems, distributed systems, microservices, Kubernetes, and AI/LLM integration into production applications.

We are a global team with different backgrounds, experiences, and perspectives. To complement this team, you will welcome ideas that are different from your own and be well-versed in building from common ground to value, seek out, and foster invisible and visible dimensions of diversity.

A variety of technical opportunities is one of the best things about working at The Trade Desk as a software engineer, which is why we do not expect you to know every technology we use when you start. What we care about is that you can learn quickly and find solutions to complex problems using the optimum tools for the job. What you know is less important than how well you learn and innovate. We are not seeking engineers who know all the answers; we need engineers who can invent answers no one has thought of yet and find answers to the questions yet to be asked.

The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

The Role

We’re looking for a Growth Engineer, GTM AI who builds the systems that power our go-to-market motion using AI, automation, and data to generate pipeline, improve conversion, and scale execution.

You’ll partner with Sales, Marketing, and RevOps to break down workflows, identify inefficiencies, and rebuild them into scalable, automated systems. You’ll also contribute to more advanced, multi-step AI systems that operate across our GTM stack. The goal is to turn manual processes into repeatable, high-impact execution.

This is a hands-on builder role. You will prototype quickly, ship often, and continuously improve systems based on performance. You should be comfortable going from idea to deployed workflow with minimal guidance and applying new technologies to real business problems.

We’re looking for someone who challenges the status quo, operates with a bias for action, and takes ownership of outcomes in ambiguous environments.

Responsibilities

• Design and deploy AI-powered GTM systems that generate pipeline, improve conversion, and automate execution across key workflows
• Build and extend multi-step AI workflows and agent-driven systems that operate across tools, data sources, and decision points
• Break down and rebuild GTM workflows. Identify bottlenecks across marketing to sales handoff and replace manual processes with scalable, automated solutions
• Rapidly prototype and productionize automation using code, APIs, and AI tools. Move from idea to deployed workflow with speed and ownership
• Own funnel performance end-to-end. Instrument systems, run experiments such as A/B testing and conversion optimization, and continuously improve based on results
• Build and maintain integrations across the GTM stack such as CRM, data warehouse, enrichment, and outreach tools. Ensure clean data flow and system reliability
• Develop targeting and orchestration systems to power campaigns, segmentation, and automated outreach at scale
• Partner with Sales, Marketing, and RevOps to translate business goals into technical systems that drive measurable revenue impact
• Continuously evaluate and apply new technologies to improve how we operate and increase efficiency and performance
• Create reusable systems, playbooks, and tooling that enable teams to leverage automation and AI in their daily workflows
• Monitor, debug, and improve live systems to ensure performance, accuracy, and alignment with evolving GTM needs

What we are looking for

• 3+ years of experience in a technical GTM, growth, or automation role such as RevOps, Growth Engineering, Marketing or Sales Ops, or Solutions Engineering
• Proven track record of building and deploying systems that drive pipeline, conversion, or GTM efficiency
• Hands-on experience building or working with multi-step AI workflows, agent-like systems, or LLM-powered automation beyond simple API integrations
• Experience working with stateful or multi-step AI systems is required
• Strong experience with automation and integrations using APIs, webhooks, or workflow orchestration across GTM tools such as Salesforce, enrichment APIs, and marketing automation platforms
• Proficiency in coding such as Python and working with data systems such as SQL, warehouses, or event data
• Deep understanding of GTM processes across Marketing, Sales, and Customer Success, including funnel mechanics and handoffs
• Experience designing and optimizing workflows for lead generation, qualification, routing, and follow-up
• Strong analytical mindset with experience in experimentation, funnel optimization, and performance measurement
• Ability to connect technical systems and automation outputs to business impact such as pipeline, conversion, and revenue
• Experience working with and transforming GTM data such as accounts, contacts, leads, and opportunities across systems
• High ownership and ability to go from idea to prototype to deployed system with minimal guidance
• Strong problem-solving skills with attention to data quality, system reliability, and edge cases
• Clear communicator who can document systems and explain technical concepts to non-technical stakeholders

Nice to Have

• Experience working within or contributing to shared AI systems, internal platforms, or reusable automation frameworks
• Experience with attribution, pipeline analytics, or revenue forecasting models
• Experience designing QA frameworks, monitoring systems, or identifying anomalies in automated workflows
• Background in high-growth or fast-paced startup environments

#LI-RH1

Role: Senior Production Technology Director

Location: Chicago, IL

About the role: 

Working in true collaboration with our tech team, we are looking for a Senior Production Technology Director to help audit our current processes and develop a production technology toolset that is robust, scalable, and increasingly powered by AI and advanced automation. You will be working with the, internal clients Implementation, IT & Services, and Sales to develop new workflows as a core part of our service offering. The purpose of this role is to manage overall daily production support across the group, oversee the specification and build of AI-powered tools and solutions, and consistently improve current workflows to enhance cost and production efficiency, quality, and service levels. You will guide and manage a team of Developers and Technology Managers, setting technical direction, nurturing talent, and ensuring the team operates together at a high standard across all production technology initiatives. This includes overseeing the team's adoption and proficient use of AI-assisted coding and scripting tools (such as GitHub Copilot, ChatGPT, Claude, and other LLM-based development assistants) to accelerate development cycles, improve code quality, and reduce manual effort in building and maintaining production solutions. 

You will be required to support the Technology Director in the management of key new account implementations from a technical and operational point of view, working with them to create comprehensive projects to deliver production automation and company-wide solutions. This includes identifying, specifying, and building overseeing bespoke AI-powered tools — from adaptive workflow automation and predictive production scheduling to AI-enabled quality assurance and content adaptation — cooperating with internal stakeholders to ensure plans are delivered on time and on budget. With a track record in complex projects, you will help ensure the smooth transition of the plan and manage ongoing needs. The primary focus for this role will be to implement and consistently improve the daily operational effectiveness of accounts. Tightening up processes, streamlining workflows, embedding AI and machine learning solutions where they can deliver measurable gains, and ensuring teams cooperate around best practices — making sure we are utilising the systems, resources, and partners we have to their fullest potential. 

The Senior Production Technology Director is responsible for ensuring that the agency has best-in-class processes, systems, and AI capabilities that maintain the highest standards in project and campaign delivery and meet the evolving demands of the client with the same level of commitment and passion as the client. Work with the Production Support Team to define and implement workflows on tools like Dalim ES/Twist and other automation tools, including AI-enabled automation platforms, and to promote use of automation and AI across the group. Working with the Global Technology and Innovation Director, PMO office, and OMG team to evaluate, architect, and implement AI-powered automation software across our network of agencies and hubs globally — including assessing emerging AI technologies, building proof-of-concept solutions, and scaling successful implementations across the business.

What you will be doing: 

• Guide, manage, and develop a team of Developers and Technology Managers, setting clear goals, conducting code reviews, and fostering a culture of innovation, collaboration, and continuous improvement 
• Spec, design, and oversee the build of AI-powered production tools and platforms — from requirements gathering and solution architecture through to development, testing, and deployment 
• Encourage and promote the use of AI-assisted coding and scripting tools across the development team (e.g., GitHub Copilot, LLM-based code generation, automated testing frameworks, AI-enabled debugging) to accelerate delivery, improve code quality, and reduce repetitive manual development tasks 
• Evaluate emerging AI/ML technologies (including generative AI, computer vision, NLP, and smart automation) for application within production workflows, recommending and implementing solutions that deliver tangible efficiency and quality gains 
• Build and maintain AI-powered automation pipelines for content production, asset management, quality control, and workflow orchestration 
• Accountable for delivery of assigned projects to time, scope, and quality 
• Advise and connect with stakeholders internally and externally, developing warm, trusting working relationships with various teams across the business and with key client contacts 
• Ensure project plans are signed off and have met quality standards and guidelines before deployment 
• Ensure projects are accurately recorded within agreed tools 
• Ensure all tools are deployed following consistent agency standards, e.g., our internal tool OMG 
• Map and deploy agreed process changes, including AI-augmented workflows and adaptive routing and prioritisation systems 
• Ensure key documentation is created and training is provided to new team members, including AI tool onboarding and upskilling programmes for the wider production team 
• Provide input into ongoing process improvements and changes to ensure the team is continuously improving, leveraging data insights and AI to inform and shape direction 
• Establish best practices and governance frameworks for responsible AI use, including data privacy, ethical AI standards, and quality assurance for AI-generated outputs 
• A desire to be in the detail — systems, processes, profitability, utilisation, production, and delivery 
• Experience in fast-paced agencies. This business manages scale and speed across the USA and Canada 
• Trusting, dependable relationships built through honest, consistent delivery 

What you need to be great in this role: 

• 10+ years of technical services experience in a complex production environment — not a traditional agency — across Print, Digital, Social, and Motion technologies 
• Demonstrated experience managing and nurturing teams of Developers and Technology Managers, with a track record of attracting, retaining, and growing technical talent 
• A solid understanding of AI and machine learning technologies, including practical experience specifying, building, or implementing AI-powered tools and solutions within a production or creative technology environment 
• Hands-on experience with AI-assisted development workflows — comfortable using and promoting tools like GitHub Copilot, ChatGPT/Claude for code generation, scripting automation, prompt engineering, and AI-enabled QA/testing 
• Experience with AI/ML frameworks, APIs, and platforms (e.g., OpenAI, Azure AI, AWS AI/ML services, Google Cloud AI, or similar) and an understanding of how to integrate these into production systems 
• Familiarity with scripting and programming languages commonly used in production automation (e.g., Python, JavaScript, Shell scripting) with the ability to leverage AI tools to accelerate coding, troubleshooting, and solution development 
• Experience in building and deploying complex production technologies 
• Experience in implementation of large-scale projects and ideally change management processes 
• Ability to manage multiple projects in a fast-paced environment 
• Excellent planning and organisational skills 
• Ability to work under pressure to meet deadlines 
• Effective interpersonal and collaborative judgement skills 
• Excellent attention to detail and accuracy skills 
• Capable and forward-thinking — able to manage their work and always meet commitments 
• A thoughtful, methodical thinker with common sense 
• Ability to question constructively and explore ideas openly (both their own and others') 
• Ability to see the bigger picture 
• Technical competence and understanding of creative process / working within a creative environment 
• Clear, effective communication skills both internally and externally with clients 
• Past experience in managing external partner relationships 
• A genuine passion for AI innovation and a curious, considerate mindset — constantly exploring how new technologies can transform production workflows and deliver meaningful advantage 
• At the time of this posting, the base salary for this position may range from  $123,250.00 to $137,750.00. Individual compensation varies based on job related factors, including location, business needs, level of responsibility, experience, and qualifications. The range listed is just one component of OLIVER’s total compensation package.