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

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

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. 

AI Governance Team, Responsible AI/ML Data Scientist

We are seeking a Vice President, Responsible AI/ML Data Scientist on our AI Governance Team who combines technical expertise in Data Science and Machine Learning with a strong advisory lens to help drive trustworthy AI solution development across Accordion's practices. In this role, you will serve as an internal subject matter expert, embedding responsible AI principles and controls across the AI development lifecycle to drive validated, explainable, compliant, and auditable AI solutions. Drawing on your experience with AI policy, regulatory standards, and testing methodologies, you will translate governance requirements into actionable and testable playbooks that teams across the business can apply consistently. This position is critical to co-designing AI solutions with embedded Responsible AI practices aligned to Accordion's AI Governance principles. As Accordion scales AI capabilities across its practice areas, this role will provide the validation rigor and oversight needed to ensure we develop AI solutions our clients and firm can trust.

This position must be based in our New York City, Chicago, or San Francisco office and is a hybrid role with the flexibility to work remotely 2 days a week.

This position is not eligible for immigration sponsorship.

What You’ll Do:

Governance & Technical Standards

• Translate AI governance, regulatory, and compliance requirements into testable operational Responsible AI playbooks with quantifiable standards for transparency, accuracy, fairness, privacy, and accountability — tailored to Accordion's AI solutions and business model
• Develop frameworks and guidance supporting systematic evaluation, testing, and risk mitigation that enable auditability, lineage, and transparent decision records
• Build evaluation frameworks that guide data scientists and engineering teams in developing, testing, and monitoring AI systems requirements; define mitigation strategies, detection methodologies, and acceptability thresholds
• Develop and implement testing principles for bias detection, model robustness evaluation, privacy preservation, and AI/privacy regulation alignment across different AI architectures and data types
• Establish benchmarks and governance processes aligned with industry standards (e.g., NIST AI RMF, EU AI Act, ISO 42001) that enable auditable AI transparency and explainability against applicable regulations and Accordion standards

Testing & Validation

• Collaborate with data science and engineering teams across our AI solution practices to embed responsible AI controls throughout the development lifecycle
• Develop repeatable testing and validation playbooks and evaluation frameworks for use across practice areas
• Pressure test AI solutions for accuracy, reliability, and trustworthiness, including output anomaly detection, logging, and observability mechanisms
• Develop methods to produce model cards and support audit trails for outputs across Accordion's business practice pillars and Client solutions

Cross-Functional Advisory

• Act as the firm's internal subject matter expert on Responsible AI topics including algorithmic fairness, transparency, privacy preservation, safety protocols, and risk mitigation strategies across the AI lifecycle
• Partner with Legal/Privacy/Risk, Technology, and D&A teams to translate regulatory requirements into actionable and measurable controls and governance structures
• Collaborate with teams developing AI solutions on risk-informed design decisions — advising on model selection, testing approaches, and appropriate guardrails
• Establish Responsible AI frameworks and operational playbooks that demonstrate alignment with evolving AI regulations (e.g., EU AI Act, GDPR, CCPA) and sector-specific requirements
• Monitor emerging AI regulations, industry standards, and responsible AI methodologies — translating insights into actionable internal design guidance
• Where applicable, support higher-risk or higher-profile engagements and AI product development where rigorous testing and evaluation of AI solutions is required

You Have:

• 5+ years of hands-on experience in data and ML, including developing, deploying, and evaluating solutions using a range of skillsets (e.g., statistics, machine learning, NLP, data visualization)
• Bachelor's degree in Computer Science, Data Science, Information Systems, Mathematics, Engineering, Statistics, or a related quantitative field
• Proven technical experience in regulated or complex industries with demonstrated collaboration across Legal/Risk/Compliance, Security, and AI/ML engineering teams
• Track record of operationalizing responsible AI through technical development frameworks, testing protocols, and quantitative evaluation that embed fairness, transparency, and accountability into production AI systems
• Strong programming proficiency in Python, R, or similar languages, with experience in ML frameworks and responsible AI tooling
• Understanding of AI and privacy regulations and standards — including EU AI Act, NIST AI RMF, GDPR, CCPA, and ISO 42001 — and the ability to translate regulatory mandates into technical controls
• Exceptional communication skills with the ability to convey complex technical and regulatory considerations to non-technical stakeholders, including leadership and cross-functional teams

Preferred Qualifications:

• Advanced degree (Master's) in Computer Science, Data Science, Statistics, Information Systems, Engineering, or a related quantitative discipline
• Consulting experience at a leading management or professional services firm
• Direct experience working with Legal/Privacy/Compliance teams on AI, data governance, or emerging technology matters
• Familiarity with responsible AI tooling, red teaming platforms, or model evaluation frameworks

You Are:

• Energized by ensuring AI systems that solve complex business challenges are built responsibly — with fairness, accuracy, transparency, and privacy by design embedded from the start
• A cross-functional collaborator who navigates matrixed organizational dynamics, working seamlessly with Legal/Risk/Compliance, Technology/Engineering, and business teams to establish AI principles, governance playbooks, and technical roadmaps
• A clear communicator who can translate AI governance concepts and technical risk findings into language that resonates with non-technical stakeholders and leadership
• A proactive problem-solver who thrives on staying ahead of AI governance expectations and emerging regulations — and can turn frameworks into practical controls
• An adaptive contributor who embraces the pace of consulting, working across diverse sectors and practice areas

The annual salary for this role ranges from: $160,000 to $175,000 + benefits. This role is also eligible for bonuses, based on individual and company performance. 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

As the National Partner Manager at Rubrik, you will build and manage strategic relationships nationally with key decision-makers at AHEAD. In this role, you will collaborate closely with cross-functional teams—including Field Sales, Systems Engineering, Channel Marketing, Field Marketing, Alliances, and Sales Operations—leveraging these resources to meet and exceed sales performance goals. Your primary objective will be to grow Rubrik’s business with AHEAD nationally through strategic partner planning, enablement, sales acceleration, and robust pipeline generation.

Where you can make an impact:

• Own the strategic relationship with AHEAD at a national level.
• Drive Rubrik's technology and product focus to increase revenue and partner mindshare.
• Author and execute comprehensive business plans to define, achieve, and surpass annual target goals.
• Drive national sales and technical strategies for the AHEAD partnership.
• Spearhead consistent sales and technical enablement sessions across national and regional levels.
• Communicate and align with senior leadership (both internal and external) to provide regular business updates.
• Facilitate account mapping sessions between Rubrik account executives and AHEAD partners to define territory plans.
• Identify and develop opportunities that lead to Partner-Initiated Deals and Proof of Concepts (POCs).
• Conduct enablement sessions to train partner field sales and systems engineering (SE) staff.
• Develop strategic relationships with key business leaders across the partner organization.

Who you are:

• A hardworking, driven, and highly motivated individual with a collaborative team spirit.
• Possess comprehensive knowledge of the Data Management, Data Protection, Storage industries or Cybersecurity.
• A confident communicator, highly capable of presenting to large audiences and hosting events.
• Adept at identifying and initiating deals with partners while working in close collaboration with Rubrik account teams.

Ideal background:

• 5+ years of experience building and managing relationships specifically with AHEAD.
• Strong orientation toward developing quarterly and annual partner business plans and sales activities.
• Proven track record of developing and executing channel programs, channel marketing plans, and coordinating joint marketing activities.
• Experience delivering sales and product training for resellers and at end-customer events.
• Demonstrated success in supporting partner sales reps to identify opportunities and close complex sales campaigns.
• A natural team player who is accustomed to highly collaborative, cross-functional work environments.
• Proficient in pipeline reporting, activity tracking, and accurate forecasting.
• Extensive experience selling competitive Backup and Recovery solutions, with a strong preference for experience in the Security space.
• Solid understanding of alliance and ecosystem vendors (e.g., Pure Storage, NetApp, Palo Alto Networks, AWS, Microsoft, GCP), their value propositions, and how to build joint solutions with Rubrik.
• Ability to travel up to 50% of the time.

#LI-MR2

#LI-Remote

Who We Are 

At 8th Light, we bring life to the best ideas.

Founded in 2006 and headquartered in Chicago, we are a technology solutions provider that partners with organizations to solve meaningful challenges and drive sustainable growth. From early-stage startups to global enterprises, we work across industries to optimize our clients’ digital products through product strategy innovation, experiential design, AI solutions, and deep engineering expertise. 

Our commitment to quality means we deliver solutions we’re truly proud of, while our curiosity sparks innovation and breakthrough thinking. 8th Lights thrive in an environment that champions continuous education, fueling our growth through mentorship and hands-on work. We foster an open, collaborative culture grounded in honesty that builds trust, and believe true success is measured by the outcomes we create for our clients.

If this kind of work and our kind of people energizes you, you’ve found the right place. 

Who You Are

You’ve shown long-term repeated success on a variety of projects, typically over the course of 10+ years. You are a trusted expert and leader, often called upon to guide ambiguous initiatives and architect scalable solutions. You bring a blend of deep consulting acumen, technical expertise, and product thinking that drives measurable and impactful outcomes. In your previous experience, you have:

• Demonstrated long-term success on high-stakes consulting engagements across multiple language paradigms, stacks, ecosystems, technical environments, and client industries 
• Built high-quality, maintainable software collaboratively, incrementally, and through an approach tailored towards the unique needs of the clients you’ve served 
• Led the development and delivery of production-grade software using a variety of languages and frameworks, including but not limited to: Python, Java, JavaScript, TypeScript, React, Ruby, Scala, R, SQL, and Go
• Evaluated and strategically applied AI-assistive development tools to accelerate delivery and improve quality
• A track record of understanding, assessing, and embracing new tooling and trends within the software industry
• Experience building or integrating AI/ML-powered features into products or systems (e.g., recommendation engines, NLP models, computer vision, predictive analytics) 
• Used context-appropriate automated testing to inform software design choices and catch bugs
• Successfully led modernization efforts to align legacy systems with short and long-term business needs
• Remedied architecture-level concerns such as scalability, security, reliability, and performance
• Facilitated alignment and collaboration across technical and non-technical stakeholders to move initiatives forward in the face of ambiguity and complexity while balancing technical considerations with product and user needs
• Provided mentorship and team support at scale, while sharing knowledge and improving team practices 
• Actively sought out and effectively given feedback
• Collaboratively led stakeholders to balance technical considerations with product and user needs

What You’ll Do At 8th Light

As a go-to technologist and strategist within 8th Light, you’ll work with a variety of clients, typically one to two in a year, while continuing to deepen your and our collective domain expertise over the course of your career with us. You’ll be responsible for:

• Rapidly building trust with clients, demonstrating technical expertise and understanding of their domain and objectives 
• Guiding technical direction, solving complex problems, and demonstrating best practices while remaining deeply engaged within the codebase
• Working pragmatically to balance technology choices while delivering high-quality work within deadlines
• Advising clients on architecture, scalability and platform evolution, connecting technical decisions to product and business outcomes
• Collaborating on systems that involve the full ML lifecycle from data ingestion and preprocessing, to model deployment, integration, and performance monitoring
• Driving innovation by proactively surfacing new technical approaches and product solutions
• Leading or initiating formal feedback conversations with teams and clients via retrospectives
• Clearly articulating and documenting outcomes and driving forward action items
• Contributing to the health of your team and 8th Light’s culture by modeling our Values
• Designing and managing high-level technical roadmaps for large engagements
• Building your network and maintaining relationships with clients and other industry leaders within your domain
• Coaching client engineering teams, transferring knowledge and leveling up practices
• Influencing client CTOs and executive decisions. Planning and execute technical work that involves stakeholders outside of project boundaries such as across a client's technical organization
• Participating in account planning; opportunity identification.
• Facilitating retrospectives, strategy sessions, and technical deep-dives to improve team and project outcomes
• Identifying, mitigating, and resolving blockers to team progress
• Contributing to 8th Light by serving as a mentor, leading or designing workshops internally or for clients, representing 8th Light in the tech community, or supporting our hiring processes
• Demonstrating leadership in scalable system design, modular architecture, and platform- or product-oriented development.
• Bringing depth in testing strategies, observability, fault tolerance, and secure engineering practices.
• Applying architectural patterns to evaluate tradeoffs and drive clear, documented design rationale.

Strongly Preferred Skills

We work across many areas, and encourage anyone with the experience listed above to apply. We would particularly like to encourage applicants with experience in the following areas:

• Delivering and advising on enterprise-grade AI systems, including RAG pipelines, vector search, and agentic frameworks (e.g., LangChain, LlamaIndex, Crew AI, AutoGen, n8n), ensuring scalable, production-ready solutions that empower developers and align with business outcomes.
• DevSecOps & DevOps
• MLOps
• Infrastructure as Code
• Data Engineering: including platforms like Databricks for data processing and analytics.

Building a truly diverse, equitable, and inclusive workplace is an ongoing journey, and we’re excited to keep learning and growing together. We have a proud tradition of hiring talented colleagues with real-world career experiences. 

How You’ll be Supported

At 8th Light, we believe our people are our greatest asset. Their growth, well-being, and success shape our future. 

Our wellness package is designed with the Whole YOU in mind and includes:

• A robust L&D program featuring unlimited access to thousands of books, courses, and expert-led training on the O'Reilly learning platform.
• Annual financial stipend and time allotment for learning & development
• Coworking support for our global team
• Flexible PTO 
• 12 weeks of new parent leave available for eligible employees

See our full list of Benefits. 

A Note on Compensation

At 8th Light, we are committed to a compensation philosophy that is transparent, fair, and helps us attract and retain top talent in alignment with our company’s strategic growth goals and clients’ needs.

We benchmark our salaries using Geographic Structures to establish competitive pay ranges within the regions where 8th Lights live. Our pay ranges for our Principal Engineer position within our four US structures are as follows:

• Structure 1 (Tampa Metro, Ohio, Tennessee, Wisconsin)
• RANGE: $151,535-$189,418 USD
• Structure 2 (Chicago Metro, Miami Metro, Philadelphia Metro, Raleigh Metro ) 
• RANGE: $159,240-$199,050 USD
• Structure 3 (Austin Metro, Boston Metro , DC Metro)
• RANGE: $169,513-$211,892 USD
• Structure 4 (Los Angeles, Seattle, New York City)
• RANGE: $176,705- $220,881 USD

Reach out to recruiting@8thlight.com for more relevant information pertaining to your local market.

8th Light Hubs and Geographies

As a remote-first company, 8th Light's culture is rooted in strong connections that extend across our teams, regions, and beyond client work. We are a distributed team across the United States, Canada, and the United Kingdom, with hubs in Chicago, London, Los Angeles, New York, and Seattle. 

If you are hired into a hub, you will be a part of a team with regular rituals around co-working and community building. For team members outside of those cities, we offer access to coworking spaces to foster continued collaboration and connection across our global team. 

In most cases, our consulting engagements do not require travel.

We hope to see you apply! 

_#LI-Remote

Senior Software Engineer - [Chicago | Atlanta | Boston]

Who We Are 

At 8th Light, we bring life to the best ideas.

Founded in 2006 and headquartered in Chicago, we are a technology solutions provider that partners with organizations to solve meaningful challenges and drive sustainable growth. From early-stage startups to global enterprises, we work across industries to optimize our clients’ digital products through product strategy innovation, experiential design, AI solutions, and deep engineering expertise. 

Our commitment to quality means we deliver solutions we’re truly proud of, while our curiosity sparks innovation and breakthrough thinking. 8th Lights thrive in an environment that champions continuous education, fueling our growth through mentorship and hands-on work. We foster an open and collaborative culture grounded in honesty that builds trust, and believe true success is measured by the outcomes we create for our clients.

If this kind of work and our kind of people energizes you, you’ve found the right place. 

Who You Are

You’ve shown repeated success on a variety of projects, typically over the course of 4+ years. You have a broad range of expertise that allows you to make an immediate impact on projects. In your previous experience, you have:

• Successfully contributed to high-stakes consulting engagements from discovery to production 
• Written production-quality code using a variety of languages and frameworks, that include: Python, Java, JavaScript, TypeScript, React, Ruby, Scala, R, SQL, and Go
• Built high-quality, maintainable software collaboratively, incrementally, and through an approach tailored towards the unique needs of the clients you’ve served 
• Leveraged AI-assistive development tools for tasks like scaffolding, refactoring, debugging, test generation, and documentation, where appropriate
• Experience building or integrating AI/ML-powered features into products or systems (e.g., recommendation engines, NLP models, computer vision, predictive analytics) 
• Used context-appropriate automated testing to inform software design choices and catch bugs
• Debugged and refactored pre-existing code to incrementally improve it
• Collaborated with teams using Git, MacOS/Linux, and CI/CD
• Remedied architecture-level concerns such as scalability, security, reliability, and performance
• Contributed to forums that encourage idea sharing, collaboration, and problem solving
• Made thoughtful recommendations and set direction in the face of ambiguity
• Mentored and shared knowledge with colleagues
• Actively sought out and effectively given feedback
• Communicated empathically with stakeholders and colleagues
• Influenced stakeholders to balance technical considerations with product and user needs

What You’ll Do At 8th Light

As a senior technologist on projects, you’ll work with a variety of clients, typically one to two in a year, through a variety of technologies and frameworks over the course of your career with us. You’ll work with colleagues who share your passion for technology solutions. You’ll invest time developing your skills and sharing what you know. You’ll be responsible for:

• Making immediate contributions to projects, rapidly building trust with your clients and team
• Working pragmatically to balance technology choices while delivering high-quality work within deadlines
• Contributing to architecture and software design discussions
• Collaborating on systems that involve the full ML lifecycle from data ingestion and preprocessing, to model deployment, integration, and performance monitoring
• Generating new potential solutions to challenges (technical and non-technical) in partnership with team members and clients
• Contributing to formal feedback conversations with teams and clients via retrospectives
• Clearly articulating and documenting outcomes and driving forward action items
• Regular syncs with your delivery team to provide status updates, and for identifying and evaluating risks and presenting potential solutions
• Identifying, mitigating, and resolving blockers to team progress
• Pursuing opportunities to further your skills to grow your career and keep pace with the rapid changes within the technology industry 
• Contributing to your team culture by building connections with your fellow 8th Lights, showing up on camera, and leveraging collaboration opportunities, such as coworking spaces and local team gatherings, where appropriate
• Confidently predicting the next World Series Win for the Chicago White Sox. 

Strongly Preferred Skills

We work across many areas, and encourage anyone with the experience listed above to apply. We would particularly like to encourage applicants with experience in the following areas:

• MLOps: including tools like LangChain for application development and managing the ML lifecycle
• Data Engineering: including platforms like Databricks for data processing and analytics
• DevSecOps & DevOps
• Infrastructure as Code

Building a truly diverse, equitable, and inclusive workplace is an ongoing journey, and we’re excited to keep learning and growing together. We have a proud tradition of hiring talented colleagues with real-world career experiences. 

How You’ll be Supported

At 8th Light, we believe our people are our greatest asset. Their growth, well-being, and success shape our future. 

Our wellness package is designed with the Whole YOU in mind and includes:

• A robust L&D program featuring unlimited access to thousands of books, courses, and expert-led training on the O'Reilly learning platform
• Coworking support for our global team
• Flexible PTO 
• 12 weeks of new parent leave available for eligible employees
• Transparent semi-annual promotion panel

See our full list of Benefits. 

A Note on Compensation

At 8th Light, we are committed to a compensation philosophy that is transparent, fair, and helps us attract and retain top talent in alignment with our company’s strategic growth goals and clients’ needs.

We benchmark our salaries using Geographic Structures to establish competitive pay ranges within the regions where 8th Lights live. Our pay ranges for our Senior Engineer position within Chicago, Illinois is: $104,160-$130,200 USD. 

Reach out to recruiting@8thlight.com for more relevant information pertaining to your local market.

8th Light Hubs and Geographies

As a remote-first company, 8th Light's culture is rooted in strong connections that extend across our teams, regions, and beyond client work. We are a distributed team across the United States, Canada, and the United Kingdom, with hubs in Chicago, London, Los Angeles, New York, and Seattle. 

If you are hired into a hub, you will be a part of a team with regular rituals around co-working and community building. For team members outside of those cities, we offer access to coworking spaces to foster continued collaboration and connection across our global team. 

In most cases, our consulting engagements do not require travel.

We hope to see you apply! 

_#LI-Remote

DRW is a major Chicago-based proprietary trading firm founded in 1992 by Don Wilson, specializing in diversified, technology-driven market-making and quantitative trading across asset classes including fixed income, options, derivatives, commodities, energy, equities, FX, and cryptocurrency.

DRW is building out a dedicated prediction markets desk focused on platforms such as Polymarket and Kalshi. As a Prediction Markets Trader, you will develop, execute, and optimize high-conviction trading strategies in binary event contracts. You will manage a live portfolio, targeting consistent positive expectancy through market making, microstructure exploitation, cross-platform arbitrage, event-driven momentum, and statistical models. This role requires genuine, demonstrated passion for prediction markets, strong quantitative reasoning, and the ability to operate in thin, volatile, event-resolution-driven environments.

Core Responsibilities:

• Monitor and trade active markets in real time across Polymarket (CLOB/Gamma/Subgraph APIs) and Kalshi (FIX/WebSocket/REST).
• Execute strategies including: market making with dynamic skew, microstructure arbitrage (order-flow and book-imbalance sniping), cross-platform arb, news/event momentum (sub-second reaction), and statistical pairs/mean-reversion.
• Develop and backtest models using historical tick data, Bayesian probability updates, NLP sentiment parsing, and ML for fair-value estimation.
• Collaborate with engineering on low-latency infrastructure (API integrations, order engines, anomaly detection).

Required Qualifications:

• Bachelor's or higher in Quantitative Finance, Statistics, Computer Science, Economics, Mathematics, or equivalent.
• Strong programming skills: Python (pandas, NumPy, backtesting).
• Solid foundation in probability, statistics, time-series analysis, and Bayesian methods.
• Hands-on experience with prediction market platforms (Polymarket and/or Kalshi APIs) or closely related domains (options, binary events, sports/event betting).
• Genuine, demonstrated interest in prediction markets — we expect you to be actively engaged with the space (personal trading, deep reading of protocols, following major resolutions, contributing to discussions, etc.). This is non-negotiable.

Highly Valued (but not strictly required):

• Prior profitable trading experience in prediction markets, options, or event-driven strategies (personal or professional).
• Familiarity with blockchain/DeFi tools (ethers.js, Polygon RPC, USDC wallets).
• Experience with low-latency systems, FIX protocol, or Web3 integrations.
• Track record of building and backtesting quantitative models with real historical data.
• Deep domain knowledge of high-impact events (politics, macroeconomics, climate, sports).

Who We’re Looking For: We are especially interested in exceptionally sharp, self-motivated individuals — including strong campus hires and new graduates — who are obsessed with prediction markets and can demonstrate clear, substantive engagement with the space. If you’ve been actively trading Polymarket/Kalshi, analyzing resolutions, building personal models, or following the ecosystem closely, we want to talk to you.

Apply With: 

• Resume
• Cover letter explicitly detailing your genuine interest in prediction markets (specific examples of your engagement: trades you’ve made, resolutions you’ve studied, models you’ve built, protocols you follow, etc.)
• GitHub, personal blog, or portfolio links showing relevant work

Applications reviewed on a rolling basis. Strong candidates will receive a technical screen, strategy discussion, and live coding/modeling exercise focused on real prediction market scenarios.

Location:  Flexible.  US-based preferred.

The annual base salary range for this position is $175,000 to $200,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus.  In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

#LI-GV1

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

Help toddlers discover who they are and what they can do.

At Guidepost Montessori, our Lead Toddler Guides create calm, purposeful environments where curiosity, independence, and confidence grow every day.

If you’re passionate about early childhood development and ready to lead a classroom designed for exploration and independence, this is your opportunity to make a meaningful impact.

Your Role

As a Lead Toddler Guide, you’ll lead a mixed-age toddler classroom in a Montessori environment thoughtfully designed to support children during one of the most formative stages of development.

Montessori guides prepare beautiful, orderly environments that invite exploration and support independence. Through careful observation, individualized lessons, and respectful guidance, you’ll help each child develop language, coordination, self-regulation, and confidence.

Your leadership will empower toddlers to explore freely, make choices, and take pride in what they can accomplish laying the foundation for lifelong learning.

What You’ll Do

• Observe each child closely to understand and support their physical, emotional, and cognitive development
• Prepare and maintain a beautiful, orderly classroom that fosters focus, independence, and exploration
• Support independence by encouraging toddlers to “do it themselves”
• Provide lessons in practical life skills, language development, and grace and courtesy
• Build warm, trusting relationships with children and families
• Communicate and collaborate with parents to support each child’s growth
• Lead classroom routines and collaborate with team members to create a respectful, joyful community

The Montessori Prepared Environment

Every Guidepost toddler classroom is fully equipped with high-quality Montessori materials and designed according to the principles of beauty, order, and independence.

Our toddler environments feature:

• Open spaces that encourage movement and exploration
• Child-sized furniture and tools to support independence
• Curriculum that builds skills in dressing, feeding, and toilet learning
• Scientifically designed materials for fine and gross motor development
• Natural elements including cozy rugs, real plants, and abundant light
• Beautiful, breakable materials made from wood, metal, and glass
• Opportunities to climb, crawl, and explore without restrictive devices

What We’re Looking For

• Interest in pursuing fully sponsored Montessori certification through our Prepared Montessorian Institute, or a previously earned Montessori diploma
• Experience working with children ages 0–3 in a group care or early learning setting
• Alignment with child-led educational approaches (Montessori, Reggio Emilia, or similar)
• Required ECE or Child Development credits
• Bachelor’s degree (Child related field)

What We Offer

• Sponsored Montessori diploma training and ongoing professional development
• Competitive salary: $40,000 - $50,000 depending on experience and education
• Health, dental, and vision insurance
• Paid time off and paid holidays
• 75% tuition discount for up to two children at any Guidepost school
• A collaborative, supportive network of peers and mentors
• Clear opportunities for career growth and leadership advancement

About Guidepost Montessori

Guidepost Montessori is a growing network of over 100 schools across the U.S. and Asia, serving children from 3 months to 6 years old in our Nido, Toddler, and Children’s House programs.

We believe children are capable and we intentionally design environments that empower them to explore, grow, and flourish. Our mission is to transform education by nurturing independence, joy, and lifelong learning.

If you’re inspired by toddler development, excited to partner with families, and ready to lead with purpose, we’d love to welcome you to Guidepost Montessori.

Apply today and help toddlers take their next big steps.

Help toddlers discover who they are and what they can do.

At Guidepost Montessori, our Lead Toddler Guides create calm, purposeful environments where curiosity, independence, and confidence grow every day.

If you’re passionate about early childhood development and ready to lead a classroom designed for exploration and independence, this is your opportunity to make a meaningful impact.

Your Role

As a Lead Toddler Guide, you’ll lead a mixed-age toddler classroom in a Montessori environment thoughtfully designed to support children during one of the most formative stages of development.

Montessori guides prepare beautiful, orderly environments that invite exploration and support independence. Through careful observation, individualized lessons, and respectful guidance, you’ll help each child develop language, coordination, self-regulation, and confidence.

Your leadership will empower toddlers to explore freely, make choices, and take pride in what they can accomplish laying the foundation for lifelong learning.

What You’ll Do

• Observe each child closely to understand and support their physical, emotional, and cognitive development
• Prepare and maintain a beautiful, orderly classroom that fosters focus, independence, and exploration
• Support independence by encouraging toddlers to “do it themselves”
• Provide lessons in practical life skills, language development, and grace and courtesy
• Build warm, trusting relationships with children and families
• Communicate and collaborate with parents to support each child’s growth
• Lead classroom routines and collaborate with team members to create a respectful, joyful community

The Montessori Prepared Environment

Every Guidepost toddler classroom is fully equipped with high-quality Montessori materials and designed according to the principles of beauty, order, and independence.

Our toddler environments feature:

• Open spaces that encourage movement and exploration
• Child-sized furniture and tools to support independence
• Curriculum that builds skills in dressing, feeding, and toilet learning
• Scientifically designed materials for fine and gross motor development
• Natural elements including cozy rugs, real plants, and abundant light
• Beautiful, breakable materials made from wood, metal, and glass
• Opportunities to climb, crawl, and explore without restrictive devices

What We’re Looking For

• Interest in pursuing fully sponsored Montessori certification through our Prepared Montessorian Institute, or a previously earned Montessori diploma
• Experience working with children ages 0–3 in a group care or early learning setting
• Alignment with child-led educational approaches (Montessori, Reggio Emilia, or similar)
• Required ECE or Child Development credits
• Bachelor’s degree (Child related field)

What We Offer

• Sponsored Montessori diploma training and ongoing professional development
• Competitive salary: $40,000 - $50,000 depending on experience and education 
• Health, dental, and vision insurance
• Paid time off and paid holidays
• 75% tuition discount for up to two children at any Guidepost school
• A collaborative, supportive network of peers and mentors
• Clear opportunities for career growth and leadership advancement

About Guidepost Montessori

Guidepost Montessori is a growing network of over 100 schools across the U.S. and Asia, serving children from 3 months to 6 years old in our Nido, Toddler, and Children’s House programs.

We believe children are capable and we intentionally design environments that empower them to explore, grow, and flourish. Our mission is to transform education by nurturing independence, joy, and lifelong learning.

If you’re inspired by toddler development, excited to partner with families, and ready to lead with purpose, we’d love to welcome you to Guidepost Montessori.

Apply today and help toddlers take their next big steps.

• You’ll be responsible for client success, partnering with the Customer Success Team to own the technical relationship for your assigned accounts and help drive technical adoption, accelerated technical value, and continued technical maturity
• Help customers successfully instrument Braze across their stack and refine that instrumentation over time as their use of Braze matures and becomes even more valuable, which in turn contributes to renewals and upsells
• Facilitate conversations regarding the customers’ desired use case, conducting discovery, and recommending solutions based on their unique needs and architecture
• Support and advocate for day-to-day inquiries and requests to support optimization and value through the customer lifecycle
• Empower customer product and engineering teams to use our product as independently and efficiently as possible, communicating with customers and internal teams to explain products and solutions by delivering enablement and education
• Adopt governance practices such as creating solutions documentation and building architectural diagrams, and drive progress against key technical work streams through project management
• Instill best practice and engineering excellence amongst your customer portfolio by validating product use cases and technical feasibility for product launch and translating the customers’ unique requirements to Braze’s Product team

• 3-5 years client-facing experience as a TAM or in a related technical area such in Implementation, Technical Support, or Solutions Architecture, for a product offering serving Enterprise/Strategic accounts
• 3+ years of technical experience in managing complex customer environments with strong product command and technical knowledge of two or more of the following: SaaS, Mobile, API, or Programming
• You are an excellent communicator (written and verbal skills), with demonstrable customer communication and coordination efforts, and the ability to take complex technical ideas and translate them to non-technical stakeholders
• You are a natural problem solver with a high level of intellectual curiosity and love working amongst a team to solve those problems
• You are able to maintain a high level of productivity, manage multiple competing priorities, and work effectively under the pressure of time constraints in a fast-paced, complex, and collaborative environment
• You may have bilingual skills beyond English that facilitate us talking with our global customer base in their native language. Please note that this is not a requirement for the role but something that we welcome in our team

Rithum™ is the world’s most trusted commerce network, accelerating how brands, suppliers, and retailers work together to deliver seamless e-commerce experiences. We provide an unmatched platform for brands and retailers, enabling them to accelerate growth, optimize operations across channels, scale product offerings and enhance margins.

Today, more than 40,000 companies trust Rithum to grow their business across hundreds of channels, representing over $50 billion in annual GMV. Using our commerce, marketing, and delivery solutions, our customers create optimized consumer shopping journeys from beginning to end.

Overview

Rithum is an AI‑first organization, meaning AI is foundational to how we work, collaborate, and grow. Across all roles, employees are expected to leverage AI to move faster, work smarter, and create repeatable patterns that benefit others. AI proficiency is a core capability, reinforced through clear standards, tooling, and ongoing support. In this role, you contribute to advancing Rithum’s AI‑first ways of working. 

As a Senior Product Manager, you own the strategy, roadmap, and outcomes for a key product area within Rithum's commerce platform. You operate largely independently, tackle open-ended and ambiguous problems, and bring cross-functional teams together around a shared vision. You are expected to have deep expertise in your domain and leverage AI-powered capabilities to rapidly shape the next generation of commerce for the world's largest retailers and brands. 

Responsibilities

• Be the owner of your product and drive the long-term vision for the world’s leading eCommerce platform, leveraging AI-first approaches to accelerate discovery, decision-making, and delivery.
• Synthesize qualitative inputs—including client interviews, support tickets, and survey feedback—using AI tools to identify themes, opportunity areas, and prioritization inputs that inform product strategy.
• Collaborate with engineering, product, and cross-functional teams to drive efficient business processes, improve team operations, and align client needs with internal objectives. 
• Own and drive roadmap prioritization for your product area, making independent decisions on scope, sequencing, and trade-offs while incorporating AI-assisted insights and data exploration.
• Leverage AI tools to prototype and validate product concepts and workflows (e.g., user flows, wireframe descriptions, low-fidelity mocks) to de-risk ideas prior to engineering investment.
• Lead end-to-end product development & execution from concept to launch (e.g., PRDs, prioritization, client discussions, testing & QA, change management, client adoption/engagement, etc.), holding yourself and your cross-functional team accountable for high-quality, timely delivery.
• Use AI to accelerate product documentation workflows (PRDs, one-pagers, release notes) while exercising strong editorial judgment and maintaining product quality and clarity.
• Track development progress, report on status to stakeholders, and assist in managing product release cycles. Support product testing and validation to ensure high-quality releases and a seamless user experience.
• Be the voice and champion of our clients; triage incoming requests with urgency and follow-through and build relationships grounded in trust.  
• Lead and influence stakeholders across functional teams of designers and engineers to ensure successful delivery at a fast velocity; ensuring high product validation and QA standards are met.  
• Collaborate with stakeholders at all levels of the organization to gain buy-in and alignment on product strategies, goals and initiatives, balancing urgency and resource availability.
• Leverage AI-assisted data exploration and analysis (e.g., natural language querying, chart interpretation, anomaly identification) to support faster, evidence-based product decisions. 

Qualifications 

Minimum Qualifications  

• 3+ years of proven product management experience within the SAAS industry with a complex enterprise level product
• Experience as a Product Manager working on AI‑powered products, AI workflows, or data & insights platforms
• Strong experience with the full product development lifecycle, including setting goals for your products, measuring the results, and quantifying the impact of features on the business
• Experience driving strategy and execution for complex, integrated software ecosystems, particularly with unifying multiple platforms
• Proven experience in supporting team-based projects, with a focus on ensuring alignment with project goals and contributing to technical teams.  
• Experience using AI tools to synthesize qualitative research (e.g., client interviews, support tickets, survey feedback) into structured themes, opportunity areas, and/or prioritization inputs.
• Experience prototyping product concepts or workflows using AI tools (e.g., generating wireframe descriptions, user flows, or low-fidelity mockups via AI) to validate ideas before engineering investment.
• Proven use of AI to accelerate documentation workflows (PRDs, release notes, one pagers, etc.) while maintaining high quality and appropriate editorial judgment.
• Comfort using AI-assisted tools for data exploration and analysis (e.g., natural language querying of datasets, AI-generated chart interpretation, or anomaly identification) to support faster, evidence-based decisions.
• Strong ability to work with vendors and internal teams, ensuring effective communication with stakeholders for successful project delivery.
• Comfortable presenting product strategy and impact to stakeholders across all levels of the organization
• Analytically minded with proficiency in data-driven decision making and experience with product analytics tools
• Experience collaborating with large clients – our clients are some of the biggest in commerce
• Positive & growth-oriented mindset with a strong bias to action
• Strong and concise written & verbal communication skills with the ability impactfully tailor your communication to any audience
• Ability to explain technical concepts to non-technical audiences  
• Ability to work in fast-paced environments and manage multiple projects simultaneously 

Preferred Qualifications 

• Bachelors or Advanced degree 
• 5+ years of product management experience
• PM experience at a top tech company or fast-growing startup preferably in eCommerce
• Intrapreneurial/founder mindset  
• Experience working on a global product management team  

Travel Required

Up to 10%

Other Duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

What it’s like to work at Rithum 

When you join Rithum, you can expect to work with smart risk-takers, courageous collaborators, and curious minds.

As part of the Rithum team, you are valued, supported, and included. Guided by a transparent culture and accessible, approachable leadership, we offer career opportunities aligned to your ambitions and talents. To ensure work and life balance works for you, we also offer an array of resources to support you and your families, including comprehensive benefits and wellness plans.

At Rithum you will:

• Partner with the leading brands and retailers.
• Connect with passionate professionals who will help support your goals.
• Participate in an inclusive, welcoming work atmosphere.
• Achieve work-life balance through remote-first working conditions, generous time off, and wellness days.
• Receive industry-competitive compensation and total rewards benefits.

We believe in transparency and fairness in our compensation practices.

For this position, the expected base pay range is: $120,000-$195,000 per year. 

This range represents the base pay for the role across all U.S. locations and is determined based on market data, internal equity, and experience. Final compensation may vary depending on geographic location, skills, and relevant experience.In addition to base pay, we offer a discretionary bonus for non-sales roles, a comprehensive benefits package, and, where applicable, sales incentives.

For this position, the expected discretionary bonus is 10% of the annual base salary.

 Benefits 

• Medical, dental and vision benefits: Affordable health care plans and company HSA contributions, starting on Day 1
• A 6% 401(k) match
• Competitive time off package with 20 days of Paid Time Off, 9 Company-Paid holidays, 2 paid floating holidays, 7 paid sick days, 2 Wellness days, and 1 Paid Volunteer Day; at 3 years of service PTO increases to 22 days, and at 5 years it increases to 25 days
• 12 weeks primary caregiver leave & 4 weeks secondary caregiver leave
• Accident, critical illness, and hospital indemnity insurance
• Pet insurance
• Legal assistance and identity theft insurance plans
• Life insurance 2x salary
• Access to the Calm app and the Employee Assistance Program
• $65/month Remote work stipend for internet
• Culture and team-building activities
• Tuition assistance
• Career development opportunities
• Charitable contribution match up to $250 per year

Rithum is an equal opportunity employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other protected characteristic. All employment is decided on the basis of qualifications, merit, and business need.

We're committed to providing reasonable accommodations in accordance with the law for qualified applicants. If you require assistance during the interview process due to a medical condition or need support accessing our website or completing the application process, please reach out to us by completing the Accommodations Request Form. Your comfort and accessibility are important to us, and we're here to ensure a seamless experience as you explore opportunities with our team.

Location: Hybrid (US only) + 60–80% travel to jobsites nationwide. In practice, this probably looks like 1-2 days traveling each week or bi-weekly throughout the year, but travel cadence may vary. Depending on location, you may also be expected to spend time in client offices more often.

Application: If you have a presentation/training sample from something you developed and led, we'd love to see it. Feel free to attach with your application (or be ready to share once contacted for an interview).

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 partner with large design-build companies (~$10B revenue) that employ thousands of project engineers and project managers running complex jobsites across the country. Human Agency is building custom AI tools and strategies to make those teams dramatically more effective. The missing piece is someone who lives in the field, understands how construction actually works, and can connect the dots between emerging technology and real jobsite needs.

That’s this role. You’ll travel to active jobsites, shadow project teams, and develop a deep, current picture of how work gets done, where it breaks down, and where technology can genuinely help. You’ll be the person who’s wildly up to speed on everything happening in construction technology — from autonomous equipment to AI-assisted estimating to reality capture — and can evaluate where each piece might actually fit in the real workflows you’re observing.

You carry two mandates. Enablement: helping field teams understand and leverage AI tools to work better, faster, and smarter. Intelligence: capturing expert knowledge from the people who actually build things, understanding the technology landscape with depth and nuance, and feeding those insights directly into Human Agency’s venture studio and product roadmap. Your perspective shapes what we build, who we invest in, and how we think about making our design-build partners great.

What You’ll Own

Field Intelligence & Expert Knowledge Capture

• Conduct structured job shadows of Project Engineers, Project Managers, and superintendents across project types — healthcare, industrial, data centers, commercial — to map how work actually flows day-to-day and where the friction, waste, and brilliance live.
• Extract and codify expert knowledge from experienced construction professionals. The people you shadow know things that aren’t written down anywhere. Your job is to capture that institutional intelligence and make it an asset.
• Synthesize field observations into actionable briefs for Human Agency’s venture studio and product teams, directly informing what to build, what to invest in, and where the biggest opportunities are.
• Build and maintain a living knowledge base of construction workflows, pain points, and technology gaps across our design-build partners’ project portfolios.
• Identify systemic patterns across jobsites and project types that point to high-leverage opportunities for technology intervention or process improvement.

Contech Landscape & Evaluation

• Maintain comprehensive, current knowledge of the construction technology landscape. You should have an informed opinion on every major platform, startup, and emerging capability in the space.
• Evaluate emerging technologies like Bedrock Robotics (autonomous heavy equipment), reality capture tools, AI co-pilots for estimating and scheduling, and next-generation project management platforms against real jobsite needs you’re observing firsthand.
• Develop technology fit assessments: given what you see in the field, where could a given tool actually create value vs. where would it be shelfware? Your judgment on this is the product.
• Brief Human Agency and client leadership on contech trends, investment-worthy companies, and technology bets with a practitioner’s perspective, not a vendor’s pitch.
• Contribute directly to Human Agency’s venture studio thesis on where the AEC industry is heading and which technology gaps represent real opportunities.

AI Enablement & Coaching

• Help jobsite teams understand and adopt AI-assisted workflows that Human Agency has built for the client — tools for submittals, change orders, RFP assessment, meeting synthesis, quality knowledge, and more.
• Run hands-on coaching sessions (1:1, small group, lunch-and-learns) that translate AI capabilities into construction language. You’re teaching a PM how this saves them an hour on submittals, not lecturing about large language models.
• Identify the highest-leverage AI use cases for specific roles and project types based on what you’re seeing in the field, and work with our product team to customize solutions accordingly.
• Serve as the credible, trusted voice on AI and technology for field teams. You earn this by understanding their work, not by evangelizing from a slide deck.
• Surface adoption barriers, user friction, and workflow mismatches back to the product team so tools get better with every jobsite visit.

Who You Are

Required

• Construction industry experience (3+ years) with time spent on or around jobsites. You know what a three-week lookahead is, you’ve seen a PE’s actual day, and you understand the difference between how construction is supposed to work and how it actually works. Backgrounds in project engineering, project management, field operations, or construction technology.
• Deep fluency with the contech landscape. You follow the space obsessively — you know the players, the platforms, the funding rounds, and the gaps. You have a point of view on where it’s all heading.
• AI literacy that goes beyond using ChatGPT. You’ve built workflows, automated processes, and can demonstrate how AI tools change the way people work. You can teach this to others.
• Exceptional communication skills across audiences — you can have a credible conversation with a superintendent on a slab at 6am and brief a C-suite on technology strategy at 2pm.
• Comfort with heavy travel (60–80%) to jobsites across the country. This role lives in the field, not behind a desk.
• Natural credibility with construction professionals. You’re respected in those rooms because you understand the work, not just the tools.

Preferred

• Direct experience with construction technology platforms (Procore, PMWeb, OpenSpace, Bluebeam, BIM tools, or similar) — either as a power user, implementer, or builder.
• Background in construction technology or AEC innovation — whether at a startup, a GC’s operations or innovation team, or a technology consultancy serving the industry.
• Experience in technology evaluation, venture analysis, or strategic advisory roles where your judgment on “will this actually work” was the deliverable.
• Familiarity with how AI products are built — understanding how field insights and user research translate into product decisions.
• Comfort operating in a consulting structure where you’re a Human Agency team member embedded in a client’s organization and culture.

Why This Role Matters

Construction is a $13 trillion global industry where the people doing the work are brilliant but chronically underserved by their tools. Technology companies build for construction from the outside. Consultants advise from conference rooms. Nobody is living on jobsites, capturing what experts actually know, staying current on every emerging technology, and connecting those two things together.

That’s the gap this role fills. Your field intelligence shapes what Human Agency builds, who we invest in, and how we help our design-build partners operate at the highest level. Your enablement work ensures that the tools we’ve already built actually land with the people who need them. You’re the connective tissue between technology and the real world — and in an industry this large and this underserved, that’s a position with enormous leverage.

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.

Job Title: Research Professional – Oeindrila Dube - AI and Machine Learning for Social Impact  (Full-Time, Benefits Eligible)

Location: Chicago, IL 

Salary Ranges: $55,000–62,000 annual salary, additional $2,000 professional development fund. The included pay rate or range represents the University’s good faith estimate of the possible compensation offer for this role at the time of posting.

Terms: Seeking a Research Professional for a period of at least one but ideally two years 

Expected Start Date: July 1, 2026 

Department: Becker Friedman Institute  

Benefits Eligible: Yes. The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook.

About the program

The Becker Friedman Institute for Economics (BFI) is seeking to hire a full-time Research Professional to work with Professor Oeindrila Dube. Applicants must have completed a Bachelors degree by June 2026 and available to begin work in summer 2026. The Research Professional’s responsibilities will span all stages of research, including collecting data of in both tabular and spatial formats, developing algorithms that clean and organize data, conducting statistical analyses, running simulations, and preparing manuscripts and presentations. 

The program is intended to serve as a bridge between college and graduate school for students interested in empirical economics. Applicants must have strong quantitative and programming skills. Candidates with research experience are strongly preferred, especially those with experience in Stata, R, Python or Matlab. The ideal candidate would work for BFI for one or two years before applying to graduate school in Economics or another quantitative social science. BFI offers competitive salary and employee benefits. 

Job Summary 

Can cutting-edge AI make policing more equitable?  Can we infer what is in a police officer’s mind from observing their behavior? These are the kinds of question driving our research program, and we're looking for someone to help answer them. 

The Becker Friedman Institute for Economics (BFI) is seeking a full-time Research Professional to work with Oeindrila Dube, Philip K. Pearson Professor at the University of Chicago's Harris School of Public Policy. This is a hands-on research role at the frontier of computer science and economics, with real stakes: the projects you'll work on aim to change how police interact with the public.  

We are applying NLP and machine learning to terabytes of body-worn camera footage to build tools that improve policing outcomes. We will evaluate the effectiveness of these tools using experimental methods. This work builds on "A Cognitive View of Policing" (QJE 2025). You will be working at real scale, using data that matters.  

The ideal candidate has strong training in computer science and economics or a related social science field. While you don’t need to have majored in economics, you should be excited to learn how economists think about leveraging NLP/AI tools and generate causal evidence. 

Why this, instead of a software job? 

If you're a CS student weighing this against a position in industry: the work here is harder in different ways, more collaborative, and the output is knowledge that gets published and used to inform real policy decisions. Pre-doctoral research positions like this one are a well-established pathway into PhD programs in economics, computer science, public policy, and related fields — and a growing number of CS researchers have found that combining their technical skills with training in causal inference opens up research questions that neither field can tackle alone. 

Unit-preferred Competencies

• Strong programming skills in Python, including experience with at least some machine learning libraries (e.g., scikit-learn, PyTorch, Hugging Face) 
• Has experience working with large structured/unstructured datasets in a research or internship setting
• Ability to work independently and manage multiple projects simultaneously 
• Excellent organizational skills 
• Attention to detail 
• Strong academic writing/communication skills

Minimum Qualifications:

Education

• Bachelor's degree in CS, economics, statistics, math, or a related quantitative discipline

Experience

• At least one year of relevant research experience (coursework and school projects count)

Technical Knowledge/Skills

• Knowledge of R and/or Python preferred 
• Knowledge of STATA preferred 

Preferred Qualifications:

• Has experience in NLP, speech/ASR, or computer vision. 
• Has experience with R and Stata are a plus (as Stata is used in the field experiment work) 
• Has had exposure to causal inference or program evaluation — or is eager to develop these skills quickly.  

Application Documents

• Resume/CV (required)
• Cover Letter (required)
• Writing Sample (required)
• Transcripts (unofficial is acceptable) (required)
• Two Professional References (required)

About the Department  

The Becker Friedman Institute for Economics aims to foster frontier research and apply those findings to achieve global impact. BFI brings together researchers from the Booth School of Business, the Kenneth C. Griffin Department of Economics, the Harris School of Public Policy, the Law School, and the entire University of Chicago Economics Community to leverage robust data, apply cutting-edge analytical tools, and uncover novel insights on the world’s most difficult economic problems. BFI then bridges the divide between academic researchers and relevant policy makers by translating and packaging rigorous research into accessible formats and proactively sharing those findings with decision-makers and thought leaders in business, government and nonprofit institutions. In this way, BFI has the potential to play a significant role in meeting the most difficult challenges facing the global community. 

The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University’s Notice of Nondiscrimination.

Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form.

All offers of employment are contingent upon a background check that includes a review of conviction history.  A conviction does not automatically preclude University employment.  Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.

The University of Chicago’s Annual Security & Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: http://securityreport.uchicago.edu. Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.

THE OPPORTUNITY

People at Vectara are passionate about helping users take advantage of breakthroughs in applied AI to discover and learn more about their business and the world around them. Our team is a group of unquestionable all-stars in their respective fields of computer science and business.

Our work is validated by some of the most demanding technology, financial services, and semiconductor companies in the world. 

• Broadcom has standardized on Vectara as the central platform for Agentic RAG and Conversational AI. Combining Agentic RAG and Search together powers their customer facing support serving 3M users. 
• Texas Instruments uses Vectara for air-gapped on-prem search that accelerates design-in decisions. 
• Compass Real Estate replaced a five-person engineering effort with a single AI expert building on Vectara. 
• Aon enables non-technical analysts to query complex claims data in natural language. 

The business outcomes are concrete. Customers consistently describe Vectara as the moment their AI strategy went from experimentation to production.

Joining Vectara means joining a growing, well-funded company at the exact inflection point when enterprise AI is moving from pilots to scale. You will work alongside a team that has built some of the most influential search, retrieval, and machine-learning systems in the industry. The problem space is large, the market is early, and the impact of every hire is visible. 

We are looking for the few people who have the grit to join a Series A startup that is growing rapidly in a quickly evolving market. You are someone who doesn't back down from a challenge and will do what it takes to make it successful. You want to be part of a team that puts in the hours with pipeline generation, finding deals by networking and creativity, and 100% hustling. You are effectively the owner of your business in the region and a founding Enterprise Account Executive. If this fits you, continue reading. 

Own the full sales cycle from first outreach to signed contract. You find, develop, and close your own opportunities. Inbound marketing is in place but consider that extra. 

•   Sell into complex enterprise accounts where the buyer is technical (VP of Engineering, CIO, CDO, Head of AI/ML) and the problem is real — data sprawl, compliance risk, AI accuracy, knowledge retrieval at scale.
•   Navigate multi-stakeholder deals across IT, security, legal, and the business line. Build champions, map the org, and drive consensus.
•   Develop deep expertise in Vectara’s platform so you can answer hard technical questions, and earn the trust of engineering-led buyers.
•   Partner closely with our engineering team — we have a very large engineering org relative to sales, and they’re your secret weapon. Bring them into deals early and often.
•   Build your territory from scratch. Create your own target lists, develop your own outbound sequences, and generate pipeline through hustle, creativity, and relentless follow-up.
•   Give direct feedback to the product team. At this stage, what you hear from the market shapes what we build next.

 QUALIFICATIONS

•   3–8 years of enterprise or mid-market B2B SaaS sales experience, ideally selling technical products to technical buyers.
•   Proven track record of exceeding quota in environments with limited brand recognition or sales infrastructure.
•   Experience selling into at least one of: AI/ML, data infrastructure, cloud platforms, cybersecurity, or enterprise software.
•   Comfortable engaging with C-suite, VP, and Director-level stakeholders across both technical and business functions.
•   Strong written and verbal communication — you can write a compelling cold email and deliver a boardroom presentation with equal confidence.
•   Based in or willing to travel to key markets. We’re building a distributed team, but face-to-face matters.
•   You don't need a perfect LinkedIn profile. Your story matters most.

Your customer relationships and their trust matters more than the length of your experience.

Perks and Benefits:

100% paid Medical, Dental, Vision for employees.  Option of Health Savings Account (HSA) or Flexible Savings Account (FSA). Generous paid time off (PTO) plus paid sick time and holidays. Professional development and training opportunities. Company virtual happy hours and fun team building activities and more. 

Salary is just one component of Vectara’s employee compensation. Our full-time employees are also equity owners in the company, which although not an immediate cash component, can have positive impacts on long-term total compensation for each participating employee. We would be remiss if we didn’t highlight and celebrate our focus on engaging many of our employees in being economic co-owners of the business.

Vectara welcomes all. We value the collective wisdom of people from different backgrounds, experiences, abilities and perspectives.  We never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. Vectara has a positive and supportive culture—we look for people who are inventive and work to be a little better every single day. We seek to be smart, humble, hardworking and, above all, curious. After all, we are on a mission to find meaning.

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. 

Req ID: 16511

#LI-FD1 #LI-director 

At Instawork, our labor marketplace tech company, we believe that even in the age of AI, the core of success comes down to good people doing honest work. To empower these individuals and ensure our technology truly serves them, we're seeking a curious and driven Product Operations Intern to help us operationalize our intelligent product features, ensuring they deliver value and efficiency to our users. This is a fantastic opportunity to grow your career at the intersection of product, data, and user experience.

To help us evaluate your skills in a hands-on context, you will receive an email invitation to complete a practical case study upon applying to this role. 

Who You Are:

• Currently enrolled in an undergraduate program with a strong interest in product operations.
• A Passion for Product & Tech: You are fascinated by how technology products are built, launched, and improved. You're eager to learn and contribute to the product lifecycle.
• Curious about AI: You don't need to be an expert, but you're an enthusiast interested in learning about the latest AI technologies and tools and their potential to improve user experiences.
• Analytical & Data-Curious: You have a knack for looking at data to find patterns and answer questions. You're comfortable with spreadsheets (Excel/Google Sheets) and are excited to learn more about data analysis.
• A Problem-Solver: You enjoy tackling challenges and are motivated to find efficient solutions. You're organized, detail-oriented, and not afraid to ask questions to get to the root of a problem.
• Eager to Learn Technical Skills: You have an interest in learning data analysis tools. Any exposure to SQL or other data tools is a plus, but a strong desire to learn is most important.
• Collaborative & Hands-On: You are a team player who is ready to roll up your sleeves and help with a variety of tasks, from testing new features to analyzing user feedback.

What You'll Do:

• Support Product Rollouts & Adoption: Work closely with product, design, and operations teams to help execute outreach and rollout plans for new features.
• Contribute to Product Development: Act as a key tester for new product capabilities. You'll document your findings, share user feedback with the product team, and help identify areas for improvement.
• Analyze Feature Performance: Assist in monitoring the performance of new features by tracking key metrics, analyzing user behavior, and summarizing insights for the team.
• Champion the User Experience: Be a voice for our users. You'll help gather, organize, and analyze user feedback from various channels to inform the product roadmap.
• Streamline Team Operations: Support the team by identifying opportunities to make our processes more efficient, whether through better documentation, improved feedback loops, or simple automations.

Nice To Have:

• Familiarity with Coding Agents: Extensive experience building with autonomous agents like Replit Agent and Cursor to move from natural language prompts to production-ready code and complex workflows.
• Data Analysis Exposure: Basic experience with SQL, Python (Pandas), or data visualization tools like Tableau or Looker.
• Internship or Project Experience: Previous internships or relevant project work in a tech, startup, or marketplace environment.
• Customer-Facing Experience: Experience in a role where you directly interacted with users or customers (e.g., customer support, community management).

For IL based applicants:

• The pay range for this position is $30 - $40 per hour

A variety of factors are considered when determining someone’s compensation including a candidate’s professional background, experience, and location. Final offer amounts may vary from the amounts listed above.

At Instawork, the safety of our marketplace is our highest priority. We are looking for a Trust & Safety Specialist who is, first and foremost, a meticulous and objective investigator. You will be responsible for protecting our community by resolving complex safety incidents with a firm commitment to evidence and policy.

To excel at the scale we operate, you must be highly proficient in modern operational leverage. This means using vibe coding (Natural Language to SQL) and AI-driven automation to gather facts, synthesize data, and streamline your workflow. We aren't looking for someone to just follow a manual—we want an investigator who uses the latest technology to find the truth faster and more accurately.

Who You Are:

• The Master Investigator: You have a "detective" mindset. You know how to weigh conflicting evidence, identify biases, and reach a fair conclusion under pressure.
• AI-Native & Tech-Fluent: You are proficient in using AI to enhance your productivity. You understand how to use natural language to interface with data (vibe analytics) and automate repetitive administrative tasks.
• High Agency: You take extreme ownership of your cases. You don't just "process" a ticket; you solve the underlying problem.
• Experience: 3+ years in Trust & Safety, Operations, or Compliance. Experience communicating with external stakeholders (clients, legal, or law enforcement) is a must.
• Data-Inquisitive: You are comfortable navigating internal systems and using data to build a narrative of facts.

What You’ll Do: 

• Lead Complex Investigations: Your primary focus is the end-to-end resolution of safety incidents. You will conduct objective, unbiased, and thorough evidence-based investigations to protect all stakeholders on the platform.
• Evidence-Based Resolution: Manage escalated support tickets with a cool head. You will communicate clearly and consistently with professionals and partners, ensuring that resolutions are grounded in facts and aligned with our terms.
• Vibe Analytics (NL-to-SQL): Proactively interrogate our databases using natural language to generate SQL queries. You will pull your own data to identify fraud patterns and safety trends without needing a technical intermediary.
• Policy Stewardship: Act as a subject matter expert on Instawork’s Community Guidelines. You will apply these policies with precision and help evolve them as the marketplace grows.
• Automated Workflow Design: Identify manual bottlenecks in the investigation process and use AI or low-code automation to build scalable enforcement solutions.

For IL-based applicants:

• The base salary for this position is $90,000 - $100,000
• This position is eligible for equity in the form of stock options
• This position is eligible for Instawork benefits, including:
• A variety of medical, dental, and vision plans with coverage beginning on the date of hire
• Flexible paid time off and paid company holidays
• Phone stipend
• Commuter stipend
• Supplemental pay on qualified leaves
• Employee health savings accounts (HSA) contribution
• Flexible spending plans
• 401K plan
• Employee discount program

#LI-Onsite

Senior Data Scientist / P3358

Summary

We are seeking a Senior Data Scientist to join our Proprietary Models team. In this role, you will play a critical part in developing, evaluating, and democratizing our foundation models portfolio—including embeddings, pre-trained LLMs, and fine-tuned language models. You will build and optimize embedding pipelines, design rigorous evaluation frameworks, drive models from experimentation to production, and guide business stakeholders through the process of integrating these models into their workflows. The ideal candidate combines deep technical expertise in machine learning and AI with strong problem-solving abilities, a commitment to engineering excellence, and a passion for enabling others to leverage AI effectively.

Responsibilities

Your work will cover a lot of ground, from engineering data pipelines to testing novel AI methodologies to guiding business stakeholders. You will be expected to flex between these skill domains as work progresses through its lifecycle, and to collaborate within a team to make it all happen.

• Develop and optimize embedding pipelines for vector search, retrieval-augmented generation (RAG), and downstream ML applications.
• Conduct rigorous model testing, evaluation, and validation against quality metrics, performance benchmarks, and reliability standards prior to release.
• Design and execute proof of concepts to demonstrate feasibility for specific business problems.
• Build and maintain automated testing frameworks for model performance, data quality, and pipeline integrity.
• Collaborate with MLE/Researchers/Engineers to develop, fine-tune, and deploy foundation models.
• Perform exploratory data analysis (EDA), feature engineering, and data preprocessing to support model development.
• Develop and maintain Jupyter notebooks, scripts, and workflows for reproducible experimentation and analysis.
• Contribute to building and maintenance of code packages, APIs, hosted applications, and other foundation model delivery mechanisms.
• Troubleshoot integration challenges and provide technical guidance for model integrations.
• Guide business stakeholders, data science and engineering teams through adoption and integration of foundation embedding and generative AI models.
• Create documentation, user guides, and best practices for internal model adoption and usage.
• Serve as a liaison between the Foundation Models team and business stakeholders, gathering feedback to inform the development roadmap.

Qualifications and Experience

Required

• Bachelor’s degree in Data Science, ML, Computer Science, or a related discipline
• 3+ years of hands-on experience in data science or machine learning roles
• 3+ years’ experience building in Python using big data tools (e.g. Hadoop, Databricks)
• Hands-on experience building processes incorporating LLMs, embeddings, or related model architecture
• Experience applying embeddings within AI projects and machine learning applications
• Track record of shipping, measuring, and maintaining machine learning models in production
• Exceptional communication skills with ability to explain complex technical concepts to non-technical audiences
• Experience in stakeholder management, technical documentation creation, and cross-functional collaboration

Preferred

• Experience building in cloud data platforms (i.e. Azure, GCP)
• Previous developer relations, technical evangelism, or advocacy experience
• Background in NLP, conversational AI, or generative AI applications
• Open-source contributions or thought leadership in AI/ML community

#LI-SSS

How You’ll Make an Impact
As an Applied Machine Learning Engineer, you will collaborate with architects, data scientists, agentic AI developers, platform engineers, and the product team to build advanced AI and ML capabilities into our platform. Your work will drive innovation in generative AI and beyond, integrating and customizing a wide range of machine learning techniques to solve complex problems in healthcare. By developing next-generation AI agents, algorithms, and computation engines, you will help Strata strengthen its market leadership, improve operational efficiency, and support healthcare providers in delivering high-quality care while maintaining financial health.

A Day in the Life

• Read and translate the latest research (e.g., arXiv papers) into production-ready solutions in Python.

• Prototype and iterate on machine learning models, focusing on areas such as regression, causal inference, optimization, and vector embeddings.

• Collaborate with cross-functional teams to embed ML and AI capabilities directly into our software platform.

• Partner with data scientists to design experiments and apply statistical concepts to real-world data.

• Optimize, test, and scale ML models to support mission-critical healthcare analytics.

Our Technology Stack
Our core platform is used by more than half of the nation’s leading healthcare providers, enabling them to leverage financial, operational, and clinical data. Our AI and ML stack includes:

• Languages & Libraries: Python, PyTorch, NumPy, Pandas, Polars, PyMC

• Infrastructure: AWS, Snowflake, Docker, GitHub

• Techniques & Tools:

  • Regression (with and without Bayesian priors)

  • Vector embeddings, similarity, clustering

  • Core statistics and distributions for EDA

  • Optimization methods (multi-armed bandit, mixed integer programming)

  • Causal inference and probabilistic modeling

What We’re Looking For
We’re seeking a technically curious engineer who thrives on turning theory into practice. The ideal candidate has:

• Strong experience implementing ML models in Python.

• Familiarity with regression, embeddings, causal inference, and optimization techniques.

• Experience applying statistical methods to exploratory data analysis.

• Comfort working with modern ML libraries and frameworks.

Bonus points if you have worked with:

• NLP tasks (LLMs, spaCy, neural networks).

• Recommender systems, latent factors, matrix factorization.

• Graph algorithms.

• Claude Code, Docker, and GitHub.ess computation engine.

Estimated Salary Range: $117,000-150,000

Actual salary will be determined based on factors including, but not limited to, skill set and level of experience. This salary range is a good faith estimate of base pay. Strata also provides discretionary variable pay programs based on role. In addition, Strata provides a comprehensive benefits package including retirement benefits, health and welfare benefits, paid time off, parental leave, life and accident insurance, and other voluntary and well-being benefits.

Location: Remote (US only) + 60–80% travel to jobsites nationwide

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 partner with large design-build companies (~$10B revenue) that employ thousands of project engineers and project managers running complex jobsites across the country. Human Agency is building custom AI tools and strategies to make those teams dramatically more effective. The missing piece is someone who lives in the field, understands how construction actually works, and can connect the dots between emerging technology and real jobsite needs.

That’s this role. You’ll travel to active jobsites, shadow project teams, and develop a deep, current picture of how work gets done, where it breaks down, and where technology can genuinely help. You’ll be the person who’s wildly up to speed on everything happening in construction technology — from autonomous equipment to AI-assisted estimating to reality capture — and can evaluate where each piece might actually fit in the real workflows you’re observing.

You carry two mandates. Enablement: helping field teams understand and leverage AI tools to work better, faster, and smarter. Intelligence: capturing expert knowledge from the people who actually build things, understanding the technology landscape with depth and nuance, and feeding those insights directly into Human Agency’s venture studio and product roadmap. Your perspective shapes what we build, who we invest in, and how we think about making our design-build partners great.

What You’ll Own

Field Intelligence & Expert Knowledge Capture

• Conduct structured job shadows of Project Engineers, Project Managers, and superintendents across project types — healthcare, industrial, data centers, commercial — to map how work actually flows day-to-day and where the friction, waste, and brilliance live.
• Extract and codify expert knowledge from experienced construction professionals. The people you shadow know things that aren’t written down anywhere. Your job is to capture that institutional intelligence and make it an asset.
• Synthesize field observations into actionable briefs for Human Agency’s venture studio and product teams, directly informing what to build, what to invest in, and where the biggest opportunities are.
• Build and maintain a living knowledge base of construction workflows, pain points, and technology gaps across our design-build partners’ project portfolios.
• Identify systemic patterns across jobsites and project types that point to high-leverage opportunities for technology intervention or process improvement.

Contech Landscape & Evaluation

• Maintain comprehensive, current knowledge of the construction technology landscape. You should have an informed opinion on every major platform, startup, and emerging capability in the space.
• Evaluate emerging technologies like Bedrock Robotics (autonomous heavy equipment), reality capture tools, AI co-pilots for estimating and scheduling, and next-generation project management platforms against real jobsite needs you’re observing firsthand.
• Develop technology fit assessments: given what you see in the field, where could a given tool actually create value vs. where would it be shelfware? Your judgment on this is the product.
• Brief Human Agency and client leadership on contech trends, investment-worthy companies, and technology bets with a practitioner’s perspective, not a vendor’s pitch.
• Contribute directly to Human Agency’s venture studio thesis on where the AEC industry is heading and which technology gaps represent real opportunities.

AI Enablement & Coaching

• Help jobsite teams understand and adopt AI-assisted workflows that Human Agency has built for the client — tools for submittals, change orders, RFP assessment, meeting synthesis, quality knowledge, and more.
• Run hands-on coaching sessions (1:1, small group, lunch-and-learns) that translate AI capabilities into construction language. You’re teaching a PM how this saves them an hour on submittals, not lecturing about large language models.
• Identify the highest-leverage AI use cases for specific roles and project types based on what you’re seeing in the field, and work with our product team to customize solutions accordingly.
• Serve as the credible, trusted voice on AI and technology for field teams. You earn this by understanding their work, not by evangelizing from a slide deck.
• Surface adoption barriers, user friction, and workflow mismatches back to the product team so tools get better with every jobsite visit.

Who You Are

Required

• Construction industry experience (3+ years) with time spent on or around jobsites. You know what a three-week lookahead is, you’ve seen a PE’s actual day, and you understand the difference between how construction is supposed to work and how it actually works. Backgrounds in project engineering, project management, field operations, or construction technology.
• Deep fluency with the contech landscape. You follow the space obsessively — you know the players, the platforms, the funding rounds, and the gaps. You have a point of view on where it’s all heading.
• AI literacy that goes beyond using ChatGPT. You’ve built workflows, automated processes, and can demonstrate how AI tools change the way people work. You can teach this to others.
• Exceptional communication skills across audiences — you can have a credible conversation with a superintendent on a slab at 6am and brief a C-suite on technology strategy at 2pm.
• Comfort with heavy travel (60–80%) to jobsites across the country. This role lives in the field, not behind a desk.
• Natural credibility with construction professionals. You’re respected in those rooms because you understand the work, not just the tools.

Preferred

• Direct experience with construction technology platforms (Procore, PMWeb, OpenSpace, Bluebeam, BIM tools, or similar) — either as a power user, implementer, or builder.
• Background in construction technology or AEC innovation — whether at a startup, a GC’s operations or innovation team, or a technology consultancy serving the industry.
• Experience in technology evaluation, venture analysis, or strategic advisory roles where your judgment on “will this actually work” was the deliverable.
• Familiarity with how AI products are built — understanding how field insights and user research translate into product decisions.
• Comfort operating in a consulting structure where you’re a Human Agency team member embedded in a client’s organization and culture.

Why This Role Matters

Construction is a $13 trillion global industry where the people doing the work are brilliant but chronically underserved by their tools. Technology companies build for construction from the outside. Consultants advise from conference rooms. Nobody is living on jobsites, capturing what experts actually know, staying current on every emerging technology, and connecting those two things together.

That’s the gap this role fills. Your field intelligence shapes what Human Agency builds, who we invest in, and how we help our design-build partners operate at the highest level. Your enablement work ensures that the tools we’ve already built actually land with the people who need them. You’re the connective tissue between technology and the real world — and in an industry this large and this underserved, that’s a position with enormous leverage.

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.

Junior Software Engineer (Trading Systems & OS) 

Location: Chicago, IL (Loop) 

Team: Proprietary Trading Group 

The Opportunity 

Geneva Trading is seeking a Junior Software Engineer with a systems-programming pedigree to join our Chicago headquarters. In this role, you will be an integral part of a specialized development staff that works side-by-side with Traders and Quantitative Researchers. We aren't looking for a "back-office" developer; we need a problem solver who wants to sit at the intersection of code and the markets. You will use your understanding of Operating Systems and low-level architecture to ensure our strategies are the fastest and most reliable in the world. This role is for the curious mind—the engineer who doesn’t just want to write a strategy but wants to understand exactly how the Linux kernel handles every packet that strategy sends. 

Core Responsibilities 

• Collaborative Development: Work daily within a tight-knit unit of Traders and Quants to translate high-frequency strategies into production-ready code. 

• Systems-Level Optimization: Build and tune trading applications using Modern C++, with a heavy focus on OS-level performance (e.g., CPU affinity, memory management, and kernel bypass). 

• Research & Diagnostic Tooling: Leverage Python to build high-speed data pipelines, backtesting frameworks, and real-time monitoring tools to analyze strategy behavior. 

• Deep-Dive Problem Solving: Act as the "systems expert" for the desk—diagnosing jitter, race conditions, or latency spikes by digging into the Linux stack (schedulers, interrupts, and syscalls). 

• Execution Excellence: Maintain a "zero-error" mindset, ensuring the absolute correctness of trading logic in a high-stakes, real-time environment. 

The Technical Profile 

• Education: BS/MS in Computer Science or Computer Engineering with a strong academic focus on Operating Systems. 

• Language Proficiency: C++: Professional-level understanding of pointers, memory layout, and concurrency. 

• Python: Ability to write clean, efficient code for data analysis and automation. 

• OS Fundamentals: Deep knowledge of Linux/Unix internals. You should understand how the OS manages hardware resources and how to optimize that interaction for speed. 

• The "Curious" Mindset: A natural drive to deconstruct complex systems. You are the person who reads the man pages and enjoys figuring out the "why" behind a system's behavior. 

The Geneva Environment 

• High-Touch Collaboration: You are part of the trading desk’s heartbeat, where feedback loops between code and market impact are measured in microseconds. 

• Intellectual Rigor: Solve non-trivial puzzles alongside some of the brightest minds in the industry. 

• Chicago Culture: Work in our state-of-the-art Chicago office, enjoying the energy of the trading floor combined with a flat, meritocratic structure. 

Compensation 

Base Salary Range: $80,000 – $130,000, plus eligibility for a performance-based bonus. 

Final compensation will be determined based on the candidate’s skills, experience, education, and qualifications. In addition to base salary, Geneva Trading offers a competitive total rewards package, including a comprehensive benefits program. Learn more about our employee incentives here: https://www.genevatrading.com/employee-incentives/ 

Application expected to close on 5/15/26

Position Overview:

We are looking for a Senior Machine Learning Engineer to build the core Machine Learning foundations that power Nova’s agentic experiences. This role focuses on applied Machine Learning in production environments: retrieval systems, evaluation frameworks, and model integration layers that make AI features reliable, scalable, and repeatable. You will design and implement the underlying components that support rich, intelligent interactions in the Iterable platform.

You will work closely with backend, frontend, and product teams to shape how Machine Learning is introduced and maintained across the company. The work blends hands-on engineering with system design, and is ideal for someone who can drive complex efforts independently, make practical architectural decisions, and collaborate in a fast-moving, cross-functional product environment.

Responsibilities:

• Design and build Machine Learning platform components that support agentic systems, including retrieval pipelines, indexing strategies, and model integration layers.
• Introduce and operationalize RAG use cases, from data sourcing and embedding generation to runtime retrieval patterns.
• Develop generalized evaluation frameworks for LLM- and agent-based features, including offline metrics, golden datasets, and continuous monitoring.
• Implement abstractions, tooling, and reusable patterns that enable other teams to build ML- and LLM-powered experiences efficiently.
• Partner with backend engineers to productionize ML features with strong reliability, observability, and performance characteristics.
• Prototype applied ML solutions to validate feasibility before investing in full builds.
• Ensure secure, robust handling of data used in ML workflows and retrieval operations.
• Collaborate with product, design, and engineering to align ML system design with user experience and product goals.
• Contribute to iterative improvements of the Nova agent framework, including workflows built with Mastra and TypeScript.

Qualifications:

• 5+ years experience as a Machine Learning Engineer or similar role focused on production systems.
• Strong engineering skills with Python or TypeScript, including experience building ML workflows in frameworks like Mastra or comparable agent/LLM toolkits.
• Experience with retrieval systems, vector databases, search technologies, or RAG architectures.
• Prior work integrating ML or LLM-powered features into production applications.
• Understanding of ML evaluation techniques, experimentation design, and failure analysis.
• Ability to lead complex projects, make practical trade-offs, and work independently in areas of ambiguity.
• Strong communication and collaboration skills in a distributed environment.

Bonus Points

• Experience building ML or LLM platforms, tooling, or developer-facing frameworks.
• Prior work with embeddings, search–ranking systems, or advanced RAG architectures.
• Familiarity with event-driven systems or streaming architectures.
• Experience with model observability, performance monitoring, or proactive regression detection.
• Background in personalization, recommendations, or applied NLP.
• Experience working in remote-first engineering teams.

Perks & Benefits:

• 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 $133,500 - $212,000. 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.

Job Title: Summer Research Assistant, Energy & Environment Lab 

Location: Chicago, IL 

Who We Are 

The University of Chicago Energy & Environment Lab (E&E Lab) partners with agencies at the local, state and federal level to identify, rigorously evaluate, and help scale programs and policies that reduce pollution and improve environmental outcomes, while ensuring access to reliable and affordable energy. The E&E Lab uses natural experiments, randomized controlled trials, behavioral economics, and machine learning to help policymakers identify and generate evidence around innovative approaches to their most pressing environmental and energy-related challenges. 

The E&E Lab is part of the University of Chicago’s new Institute for Climate and Sustainable Growth. The Lab's mission is to partner with government agencies to identify and rigorously evaluate policies with the greatest potential to improve human lives at scale; the Lab's evidence-based approach gives policymakers and practitioners the knowledge they need to effectively achieve the greatest social good per dollar spent. 

Job Summary 

The E&E Lab is seeking Summer Research Assistants (RAs) with strong research, methodological, and programming skills to support large-scale environmental policy research projects. The RAs will work on a portfolio of economics projects, designed to evaluate the impact of promising energy and environmental interventions. Typical research projects involve the analysis of environmental and energy data, utilizing quasi-experimental and experimental methods to provide government partners with guidance on key policy questions. 

Responsibilities: 

• Coding, review, and cleaning of data. 

• Data analytics, statistical analysis, and building econometric and/or machine learning models. 

• Project development and coordination. 

• Literature reviews. 

• Presentation of results of analysis (e.g., graphs and tables). 

• Assisting in writing, formatting, and editing reports and works for publication and for dissemination to partners. 

Job Requirements 

Competencies: 

• Interest in and aptitude for developing advanced programming and analytic skills. 

• Experience with at least one statistical analysis language required; R, or Python strongly preferred. 

• Strong verbal and written communication skills, with the ability to synthesize multiple sources. 

• Strong initiative and a resourceful approach to problem-solving and learning. 

• Ability to work both independently and as part of a team. 

• High attention to detail and organizational skills. 

• Knowledge of environment and/or energy policy issues preferred. 

Education: 

• Significant progress towards an undergraduate or graduate degree in economics, computer science or related discipline. 

• Coursework in economics, applied math, computer science, statistics. 

• Research experience in an academic setting preferred. 

Documents Required: 

• Resume 

• Cover Letter 

• Academic transcript(s) 

The internship duration is ten weeks, with a flexible start date. Applications will be reviewed as they are received, with decisions made on a rolling basis. Due to the high volume of applications, only shortlisted candidates will be contacted. 

The E&E Lab main office is in Chicago; some research staff are based in the offices of our federal and state government partners.  

To apply, please complete the form and upload your resume, cover letter, and transcript below. Questions and inquiries about the summer position should be directed to eelabhiring@uchicago.edu. 

All applicants must be authorized to work in the United States. 

The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national or ethnic origin, age, status as an individual with a disability, protected veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination. 

Staff Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form. 

The University of Chicago's Annual Security & Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: http://securityreport.uchicago.edu. Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.