About the Team

Roku's Recommendations team powers nearly all Roku-controlled UI surfaces, presenting content, apps, and offers through personalized browse pages, carousels, rows, and destination experiences across 100+ surfaces. The system matches over 100M viewers to millions of entertainment entities daily, optimizing for user engagement, monetization, and long-term platform health.

About the Role

We are looking for a Senior Product Manager to own and drive critical product areas within Recommendations. In this role, you will be responsible for defining product strategy, leading experiments, and delivering measurable outcomes that drive viewer engagement KPIs and business model outcomes (for ad-supported, subscription, and TVOD/PVOD), through the ML/AI recommendations ecosystem.

This is a high-ownership, high-visibility role. You will operate across multiple surfaces and partner closely with engineering, UX, data science, content, business, and cross-functional PMs to shape how Roku's recommendations platform serves users and the business.

For New York Only - The estimated annual salary for this position is between $195,000 - $303,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.

What You’ll Be Doing

• Define and own the product strategy and roadmap for your area within Platform Recommendations, with a focus on maximizing user engagement and business value across all monetization models
• Identify unique problem spaces across surfaces and develop strategic recommendations backed by data and analysis
• Drive material outcomes from strategic themes: Drive material outcomes from strategic themes through deep, independent analysis, quantified impact, coherent recommendations, and leadership-ready proposals
• Articulate customer and business problems clearly: Articulate customer and business problems clearly, evaluate options and trade-offs, and develop sequenced roadmaps that move the ball forward strategically
• Lead KPI definition and defense: propose clear primary decision metrics and supporting metrics for every initiative, especially in ambiguous domains where north-star KPIs are not easily defined
• Own experiment design end-to-end: define test contracts and hold the line on experimental rigor
• Drive experiments to decisions: ensure every test is tied to a concrete decision or roadmap change, and prevent KPI drift by proactively aligning stakeholders
• Move fast and demonstrate extreme ownership of outcomes: actively track, unblock, and push for value, and propose concrete options when faced with trade-offs
• Maintain 100% lockstep with partners: Maintain 100% lockstep with partners in ML Research and Engineering, Merchandising, and Analytics with detail orientation and ensure alignment on strategy, outcomes and requirements/timelines
• Communicate with clarity and conciseness: Communicate with clarity and conciseness, with high signal-to-noise in written documents, messaging, presentations and verbal discussions
• Proactively keep stakeholders informed: Proactively keep stakeholders informed of progress, risks, and blockers with specific impacts, options and recommended paths

We’re Excited If You Have

• 7+ years of product management experience, ideally in recommendations, personalization, search/discovery, or ML/AI-driven product areas
• Strong analytical rigor: comfort with experiment design, A/B testing, statistical significance, and metric frameworks. Ability to define, defend, and prevent drift on KPIs
• Proven ownership and bias to action: track record of driving complex, ambiguous initiatives end-to-end — from problem framing through strategy to shipped outcomes. You escalate early, propose alternatives, and don't let work stall
• Technical depth: experience working closely with ML engineers and data scientists on ranking, optimization, and signal-based systems. Ability to engage meaningfully in technical discussions about model performance, feature engineering, and system architecture
• Excellent cross-functional leadership: demonstrated ability to influence and drive alignment across engineering, data science, design, business, and content teams without direct authority
• Outcome-oriented experimentation mindset: experience designing and running experiments that drive real product and business decisions
• Clear, concise communicator: strong written and verbal skills; ability to present strategy, trade-offs, and recommendations to executive leadership
• Experience in streaming, media, entertainment, or large-scale content platforms
• Familiarity with recommendation systems, content ranking, collaborative filtering, or personalization at scale (100M+ users)
• Experience with GenAI/LLM applications in product discovery, content understanding, or signal generation
• Experience operating across multiple product surfaces (TV, mobile, web) with different user behaviors and constraints
• BS/MS in a quantitative field (engineering, CS, mathematics); MBA a plus

#LI-SSC

About the role 

Roku is looking for an outstanding Sr. Financial Analyst to join the Platform Finance team. Reporting to the Sr. Manager Platform FP&A, this role will play a critical role in providing senior management with an assessment of historical and forward-looking financial performance, including analysis of business performance and trends, risks and opportunities, and communication of business insights.   This role will play a key role in Strategic Finance support for the Platform business. Critical to success in this role is the ability to balance competing priorities, navigate a fluid and ambiguous environment and drive projects from inception to completion with minimal supervision. The ideal candidate will possess a strong quantitative background and analytical mindset, advanced modeling abilities and superior attention to detail. This is an individual contributor role based out of New York City.  

For New York Only - The estimated annual salary for this position is between $135,000 and 155,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off. 

What you’ll be doing  

• Own reporting packages, including variance analysis (vs. plan, forecast, YoY, QoQ) and executive dashboards that deliver clear, actionable insights on key operational and financial metrics 
• Track and synthesize key Platform metrics; conduct deep dives on anomalies and emerging trends  
• Manage headcount and non-HC OPEX for the Platform business - monitor actuals, maintain forecasts, track hiring trends, support new asks, and flag risks and opportunities  
• Support recurring FP&A processes: forecast submissions, decks, earnings analysis, and OPEX management 
• Partner cross-functionally with Business Unit FP&A and corporate Finance teams, and day-to-day business support 
• Continuously improve reporting processes and analytical infrastructure — leverage AI tools to drive efficiency and scale 

We’re excited if you have  

• 5+ years in corporate finance, investment banking, management consulting, or corporate strategy — top-tier pedigree expected 
• Background in tech and/or media strongly preferred 
• Deep expertise in financial modeling and Excel; experience with BI/data tools (e.g. Tableau, Looker, SQL) a plus 
• Hands-on with AI tools (ChatGPT, Claude, Copilot, etc.) and motivated to push their use in finance workflows 
• Exceptional communicator - able to distill complex analysis into crisp narratives for senior executives 
• Operates at every altitude: comfortable in board-level strategy and row-level data in the same day 
• High ownership, low ego - no task too small, no problem too ambiguous 
• Bachelor's degree in finance, economics, mathematics, or a related quantitative field  
• Highest standards of accuracy and precision; highly organized 
• Curious; a constant learner with a relentless drive to acquire knowledge and new skill sets 

#LI-RR1 

About the Role 

We're seeking a Senior Analyst, Ads Forecasting & Inventory Yield to join our team of forecasting and yield specialists working to maximize profitable ad revenue across Roku's AVOD ecosystem. This role combines analytical rigor, strategic thinking, and hands-on execution to improve forecast accuracy, optimize inventory utilization, and support key monetization decisions. The ideal candidate brings strong quantitative skills, experience with large-scale advertising data, cross-functional fluency, and a demonstrated ability to leverage AI and automation to accelerate analytical workflows. This position reports to the Sr. Manager, Ad Forecasting & Inventory Yield, within Revenue Operations.  

This position is a hybrid role, Monday – Thursday in office with the option to work from home on Friday. This position is based in New York, NY. 

For New York - The estimated annual salary for this position is between $140,000 - $150,000 annually.  

Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off. 

What you'll be doing  

• Own and enhance end-to-end forecast reporting (demand, supply, yield), advancing insights into revenue, gross profit, sell-through, fill rate, and other key KPIs 
• Own global demand forecasts and in-quarter revenue pacing views; design tools for scenario analysis, what-if modeling, and performance-versus-plan tracking 
• Build analytical frameworks that measure forecast performance, identify gaps, and quantify risks and opportunities across the ads business 
• Partner with Revenue Operations and Sales leadership to translate forecast and inventory insights into pricing, packaging, and yield strategies 
• Proactively identify under-utilized inventory segments and recommend actions to improve monetization 
• Standardize, centralize, and define new metrics that give RevOps leadership clear views into business health from an inventory, yield, and product perspective 
• Build and maintain a scalable dashboard suite; own the roadmap for enhancements, tech debt, and automation priorities 
• Collaborate with Business Automation, Data Engineering, and Product teams to ensure reporting requirements are represented in data models and pipelines 
• Define escalation paths within Revenue Operations for data outages, dashboard issues, and forecast anomalies, including SLAs and communication norms 
• Create documentation and SOPs for dashboards, reports, analytical workflows, and AI-assisted processes; mentor junior analysts on tools and best practices 
• Deliver ad hoc analysis and strategic insights as Roku explores new ad units, formats, packaging, and business development initiatives 

We’re excited if you have 

• 5–8+ years in digital advertising, streaming/CTV, or related fields in an inventory, yield, revenue operations, forecasting, or business analytics role 
• Experience partnering with Sales, Finance, or Product teams in a high-growth media/tech or streaming environment strongly preferred 
• Proven track record leading projects end-to-end — from problem definition through implementation, change management, and impact measurement 

Domain & Technical Skills 

• Strong knowledge of digital ad serving tools, industry metrics, and terminology; programmatic buying/selling and auction dynamics experience is a plus 
• Solid understanding of yield and monetization strategy (floor pricing, packaging, auction dynamics, supply/demand balancing) 
• Highly proficient in Excel (advanced formulas, modeling, scenario analysis) and PowerPoint for executive-ready storytelling 
• Hands-on SQL experience for extracting and transforming large datasets 
• Experience with BI tools (Looker, Tableau, or similar) for dashboard development and self-service analytics 

AI & Automation Proficiency 

• Demonstrated experience using AI/LLM tools (e.g., Claude, ChatGPT, Copilot) to accelerate data analysis, automate workflows, and generate or debug code 
• Ability to critically evaluate AI-generated outputs for accuracy, bias, and business applicability 
• Experience or strong interest in applying AI to forecasting, anomaly detection, scenario modeling, or other analytical use cases 
• Familiarity with prompt engineering or integrating AI tools into analytical workflows is a plus 

Soft Skills 

• Excellent communication skills; able to present complex topics succinctly to technical and non-technical stakeholders 
• Strong project management and detail orientation; manages multiple priorities in a fast-paced environment 
• Works autonomously with a bias for creative, data-driven solutions to ambiguous problems 

Characteristics of Success at Roku 

• Self-motivated — drives work forward without waiting for direction 
• Positive & collaborative — builds strong cross-functional relationships 
• Non-political — focused on what's best for the business 
• Results-oriented — bias toward action and measurable impact 
• Practical — balances rigor with speed 
• Hands-on — dives into details while thinking strategically 

If you thrive at the intersection of analytics, forecasting, and business strategy — and you're excited to use both traditional and AI-powered tools to shape how Roku manages and monetizes ad inventory at scale — we'd love to hear from you. 

#LI-SR3

This is Adyen

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

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

Head of Strategy & Business Operations

The Strategy & Business Operations Lead will play a critical role in shaping and driving Adyen’s long term direction. This role sits at the intersection of strategy, planning and business operations and partners closely with Leadership to drive company wide alignment, informed decision making and eventually ensure we deliver. 

You will lead strategic, cross-cutting initiatives, establish strong operating rhythms and build a high performing team to support the Adyen growth and evolution. This is a full-time position based in our Amsterdam or Chicago office reporting into our VP of Global Strategy & Execution.

What you’ll do:

Company wide Strategy:

• Support shaping the global Adyen strategy and strategic initiatives.  
• Enable strategic decision making through a clear and aligned framework across different options (across Buy-Partner-Build). 
• Analyze market dynamics and assess internal capabilities to inform strategic decisions. Drive deep dives and/or intelligence on trends and opportunities.

Strategic Planning:

• Shape and drive Adyen wide Strategic Planning, Priorities and Goals in close collaboration with the business and Strategic Finance. 
• Lead investment and trade-off discussions, connecting resources and investments to strategic priorities and business outcomes. 

Business Operations:

• Shape, implement and drive business operations rhythms through business reviews: Monitor the health of the business through the creation of performance dashboards, key performance indicators and tracking priorities at varying levels. 
• Cross functional alignment and connect strategy (e.g. commercial, operations etc) across Adyen. 

Strategic Communication: 

• Design and roll out a clear company wide strategy communication plan, working closely with Internal and External Communications to ensure consistent messaging across all teams and functions at Adyen.

Leadership:

• Establish, lead and develop a high-performing team to deliver across Strategy & Business Operations.

Who you are:

• 18+ years of experience across Strategy, Business operations, Corporate Development, Product, Finance or related roles within Tech companies.
• 7+ years of proven experience building, leading and scaling high-performing teams.
• At least 3 years of dedicated experience driving company-wide strategy is a must. 
• A long-term systems thinker with a proven track record of scaling, operationalizing and evolving company strategy.
• A trusted partner to leadership, capable of building strong relationships and credibility across different functions and levels of the organization. 
• Highly effective at influencing direction and outcomes without direct authority.
• Experienced in operating within cross-functional environments, balancing diverse perspectives and ultimately driving execution forward. 
• Data-driven, leveraging quantitative and qualitative insights to inform recommendations, decisionmaking and trade-offs.
• Able to distill complex, ambiguous problems into clear insights, structured approaches and actionable next steps.
• End-to-end owner with a bias for action, taking accountability from problem definition to implementation.

Our Diversity, Equity and Inclusion commitments 

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

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

What’s next?

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

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

Position Title: Corporates Ratings - Associate Director (New York / Chicago) 

Entity: Kroll Bond Rating Agency, LLC

Employment Type: Full-Time

Location: New York, New York; Chicago, Illinois 

Summary/Overview:

KBRA (Kroll Bond Rating Agency, LLC) is seeking an Associate Director to join our growing our Corporates Ratings team with a focus on conducting fundamental credit analysis and research across a wide range of sectors.

The Associate Director will work in a highly collaborative team that liaises with internal and external stakeholders to produce high quality and timely corporate credit opinions. The Associate Director will also help conduct credit research on a variety of industrial sectors, including analyzing and publishing trends, key rating factors, and evolving credit metrics. This individual will have significant interaction with senior management of corporate issuers, and their advisors. This position is based in our New York or Chicago office.

Job Responsibilities:

• Lead the credit rating process by preparing internal credit memos, analyzing cash flows, performing sector analysis, and publishing credit reports.
• Author sector research for investors and lenders across private credit, direct lending, and public debt markets.
• Assist in the development and evolution of rating processes and analytical tools.
• Participate in issuer and investor meetings to explain KBRA methodologies and demonstrate understanding of industry trends.

Key Job Qualifications:

Flourish in a fast-paced, deadline driven environment.  Effectively collaborate with your team members and are motivated to succeed and continually strive for consistency, accuracy and timeliness.

You will be successful in this role if you:

• Bachelor’s degree in finance, accounting, economics or management or any subject that prepared you to be a thoughtful qualitative and quantitative analyst and a strong writer. Master’s degree and/or CFA are preferred.
• A minimum of five (5) or more years of work experience performing credit analysis within Corporates in a rating agency, buy-side, sell-side, banking, or other similar environment within a bank or other financial institution.  Prior fundamental credit training (including financial statement analysis) is preferred.
• Conduct due diligence and interact with clients as part of the rating process.
• Possess a solid understanding of capital markets and relevant experience in credit, fixed income research or capital markets.
• Experience with corporate financial statements including 10-Ks, 10-Qs. 
• Work as an integral part of a team and across disciplines in a challenging and dynamic environment.
• Manage time and resources in a fast-growing company.
• Familiarity with Generative AI tools such as ChatGPT for research, data insights, and general productivity is a plus.
• Excellent communication (verbal and written) skills.
• Strong quantitative skills including advanced capabilities with Excel and proficiency in financial statement analysis.
• Ability to work, lead, and seamlessly integrate in a highly collegial, dynamic, and innovative work environment.

Salary Range:

The anticipated annual base salary range for this full-time position is $120,000 to $150,000. Offer amounts are determined by factors such as experience, skills, geography, and other job-related factors.

KBRA Benefits

• A hybrid work schedule (Tuesday, Wednesday and Thursdays in the office)
• Competitive benefits and paid time off
• Paid family and disability leave
• 401(k) plan, including employer match (100% vested)
• Educational and professional development financial assistance
• Employee referral bonus program

About Us:

Kroll Bond Rating Agency, LLC (KBRA) is a full-service credit rating agency registered with the U.S. Securities and Exchange Commission as an NRSRO. Kroll Bond Rating Agency Europe Limited is registered as a CRA with the European Securities and Markets Authority. Kroll Bond Rating Agency UK Limited is registered as a CRA with the UK Financial Conduct Authority pursuant to the Temporary Registration Regime. In addition, KBRA is designated as a designated rating organization by the Ontario Securities Commission for issuers of asset-backed securities to file a short form prospectus or shelf prospectus. KBRA is also recognized by the National Association of Insurance Commissioners as a Credit Rating Provider.

More Info

KBRA encourages applications from all qualified individuals without regard to race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, citizenship, disability, and veteran status or any other basis prohibited by federal, state or local law.

#LI-DG1

#LI-HYBRID

About the Role

Our Product Pricing & Monetization team sits at the intersection of product and commercial strategy, responsible for holistic pricing and packaging across Gusto's full product suite.

We're looking for a Senior Pricing and Monetization Manager to focus across our platform. portfolio including Gusto Payroll, Gusto Time management and HR, and our suite of embedded financial services for employers and employees. You'll collaborate closely with product, sales, marketing, data, engineering, and finance, with work that is visible to Gusto leadership.

What You'll Do

• Work in partnership across Product, Finance, Marketing, and Go-to-Market to review and recommend monetization and pricing strategies for new product launches and our existing portfolio.
• Be a world-class operator, owning and delivering on cross-functional projects and commercial go-to-market initiatives. In an AI-native environment, strategy, ownership, and execution goes broad. You will be asked to learn, adapt and grow your range of expertise.
• Help shift from a commercial strategy and operations function, to an AI-powered builder program. You’ll ship MVPs, Proof of Concepts, and pilots right into market.
• Decide, Build, and Monitor the key Pricing and Monetization KPIs across our product and go-to-market portfolio.
• Be the pricing and monetization expert and go-to-partner for Monetization and Commercial strategy.
• Work closely with key stakeholders such as: Product, Product Marketing, Sales, Data Science, and Finance. Products will have direct executive line-of-sight and direct impact to our product and business.

What We're Looking For

• Background in fintech, business banking, retirement, E-commerce, payroll, or HR back office SaaS
• Background in B2B / B2C Saas in Payroll, HR, Fintech, ECommerce or related field.
• An AI-native operator who can go from strategy to execution quickly, building Agents instead of processes. You’ll be an expert in Claude.ai, Claude Code, and Cursor.
• A strong analytical mindset with strong attention to detail and creative problem-solving ability. Able to use AI tools to conduct end-to-end technical data analysis.
• Executive relationship management and communication. You’ll be presenting and working on topics for our executives, board, and senior leaders across Gusto.
• Exceptional cross-functional stakeholder management and relationship-building skills. Your success will be defined by your ability to move a broad set of stakeholders towards a common goal.
• Clear, concise communicator, able to distill complex ideas for any audience
• Thrives in fast-moving environments; able to pivot quickly and manage competing priorities
• Curious, growth-oriented, and genuinely passionate about pricing

Nice to Have

• Experience developing and delivering pricing and go-to-market recommendations in product, marketing, finance, or consulting.
• Experience with technical pricing research, like conjoint or max diff analysis, or other quantitative research techniques. 
• Expertise in technical data analysis skills, like SQL, Python or R. Expect underlying foundation coupled with ability to use AI to execute.
• Familiarity with the latest AI tools to help with coding or data analytics tools such as Claude, Cursor, Gumloop

Compensation

Our cash compensation amount for this role is targeted at $152,000 - $180,000/yr in Denver, Phoenix, and Atlanta, and $180,000 - $218,000/yr for San Francisco & New York. The salary range for Toronto is CAD 133,000 - 160,000. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

#LI-Hybrid

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

The Platform Sales team is a highly consultative, enterprise sales team that is responsible for some of Stripe’s largest and fastest growing partners. Stripe helps software platforms offer more value to their customers by embedding Stripe’s powerful payments technology into their solution. As a Platform Sales Manager, you will play a critical role on our go-to-market leadership bench-- leading a team of AEs to make payments-as-a-service a competitive advantage for high-growth organizations.

What you’ll do

• Drive sales growth through successful leadership, organizational planning, customer service and outstanding execution 
• Oversee the expansion of Stripe’s footprint with global saas platforms
• Make hiring decisions, honing our ideal candidate profile and onboarding strategy
• Create structure and focus for GTM ideas and product sales campaigns that the product team is exploring. Drive execution and measurement. Analyze results and make recommendations for action in a timely manner.
• Define key sales support mechanisms, processes, and programs to meet the rapid growth of the business and achieve revenue attainment and market development objectives
• Build a world-class organization and write the playbook for the era of monetizing payments on platform

Responsibilities

• Lead a team of sophisticated Existing Business, Platform AEs focused on expanding our global footprint with enterprise SaaS platforms
• Drive deal strategy and partner across the business to ensure healthy pipeline, funnel conversion, win rate, and margin preservation across the portfolio
• Effectively work cross-functionally across the organization to shape Stripe's product roadmap and drive best practices on selling and forecasting
• Engage with the largest strategic opportunities, leading executive relationships 
• Being accountable for delivering revenue growth

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

• 12+ years of relevant enterprise sales experience
• 3+ years of people management experience
• Ability to hire, coach, and motivate a high-performance sales team
• Ability to articulate complex, technical concepts and translate them into business-relevant terms
• Demonstrated quantitative and analytical skills

Preferred qualifications 

• Thrives in fast-paced settings with a high-level of autonomy and can create clarity and structure 
• A knack for working well with a wide range of stakeholders, both internally and externally
• Experience scoping and managing strategic projects with input from cross-functional teams
• Prior experience in financial services, the payments industry, or with the card networks

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 large amount of work ahead of us. 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

At its core, Stripe is a treasury company, and the Treasury Finance team is key to building the Global Payments and Treasury Network (GPTN). We collaborate closely with product, engineering, sales, and finance teams to create innovative solutions that enhance Stripe’s financial capabilities. As part of Treasury Finance’s AI and Quantitative Analytics team, you’ll work at the intersection of finance, artificial intelligence, and product development, building autonomous agents and intelligent solutions that enhance treasury capabilities and enable us to better serve and scale with the global economy. 

What you’ll do

Within Treasury Finance AI and Quantitative Analytics, you’ll leverage your finance, artificial intelligence (AI) and technical expertise to  build intelligent solutions that enhance Stripe’s treasury capabilities. You’ll develop AI-powered tools and models, autonomous agents, and data products that automate complex workflows and provide actionable insights. Working at the intersection of artificial intelligence, finance, and product development, you'll collaborate with engineering and finance teams to deploy cutting-edge AI applications that scale with Stripe's growth and support our mission of increasing the GDP of the internet. 

You will:

• Apply your treasury and finance domain expertise to identify high-impact opportunities where AI can solve complex liquidity, financial risk management, and capital markets challenges
• Build AI-powered tools and artificial intelligence solutions to automate treasury workflows, enhance risk management, and scale our operations
• Design and deploy autonomous AI agents using frameworks like LangChain and LangGraph that can reason, plan, and execute complex multi-step problems and enhance decision-making processes
• Ship interactive data products and self-service analytics tools using Python frameworks (Streamlit, Dash, Gradio) that provide real-time insights and actionable intelligence
• Work across Treasury Finance and partner teams to scope AI-driven solutions that allow us to optimize and scale our most complex, data-driven financial workflows 
• Explore and prototype cutting-edge AI applications to address emerging treasury challenges

Who you are

We’re looking for a technical problem-solver with treasury and finance expertise who’s excited about leveraging artificial intelligence and 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

• Bachelor’s degree in finance, mathematics, computer science, engineering or a related field with 5+ years of work experience in software development, data science, or treasury/finance roles 
• Working familiarity with financial risk and capital markets concepts
• Proficiency in Python and experience with AI/ML frameworks including PyTorch and TensorFlow
• Experience with Large Language Model (LLM) frameworks such as LangChain, LangGraph, or similar tools for building AI applications and agentic systems
• Solid understanding of AI fundamentals, including deep learning, natural language processing, and generative AI
• Results-oriented, with a focus on delivering impact in a fast-paced environment 
• Excellent communication skills for collaborating with product, engineering, and finance teams
• Highly organized, with attention to detail and the ability to manage tight deadlines

Nice to have

• • Familiarity with the payments industry and fintech landscape
  • Experience with Databricks and cloud platforms (AWS, GCP, Azure) 
  • Software engineering experience in Ruby

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 teams

MaaS (“Money as a Service”) Data Science

The MaaS Data Science team is central to all money movements, embedded finance, and platform solutions for our biggest and most complex customers.  The two roles available are in Embedded Finance (Capital, Issuing) and Connect (Stripe’s solution and growth suite for platforms and marketplaces).  We set the data foundations for company wide data primitives + external products; drive strategy through modelling, analytics, and experimentation; build world class data-driven + ML powered product experiences; and partner closely with cross-functional partners across all facets of the business (Product, Engineering, Risk, Marketing, Ops, Strategy, and more) to ensure the success of our Connect, Capital, and Issuing product suite.  

Growth Data Science

The Growth Data Science team helps businesses on Stripe get started both quickly and effectively. We work closely with Growth product and engineering leads to optimize every step of the user journey, from awareness and acquisition, through product adoption, to usage growth and retention. Our team is known for being an experimentation powerhouse, for pushing the frontiers of causal analysis and cumulative impact measurement, and for developing a deep understanding of the user journey that helps drive the product roadmap. We work closely with Growth Product and Engineering, and more broadly with Sales, Marketing, Developer Platform, Support, and Risk teams.

What you’ll do

Data Science Managers at Stripe are responsible for the success of their team. You’ll be deeply involved in the modeling and design processes as well as coaching, mentoring, and leading the team. You’ll have a deep understanding of how to drive efficient data science teams and you’ll have a strong user-focus. You’ll be working with data scientists, analysts and engineers on creating technical solutions and communicating effectively across teams and senior leadership.

Responsibilities

• Drive the roadmap and priorities for your team, and work with many Stripe leaders across the company to enhance our ability to be data driven.
• Collaborate with stakeholders across the organization such as engineering, analytics, operations, finance, and marketing.
• Lead and manage processes to help the team do its best work and engage effectively with the rest of Stripe
• Manage a high-performing team of data scientists, supporting them to achieve a high level of technical excellence and advance in their careers.
• Recruit and onboard great data scientists, in collaboration with Stripe’s recruiting team
• Contribute to broad data science initiatives as a member of Stripe’s data science management team.

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

• A PhD or MS or BS in a quantitative field (e.g., Statistics, Operations Research, Economics, Computer Science, Engineering).
• You have at least 3 years of direct management experience leading data science or ML teams, and 10 years of overall data science experience.
• You have demonstrated expertise in designing metrics and guiding business decisions with data.
• You have technical expertise to drive clarity with staff and senior scientists about architecture and strategic modeling decisions.
• You’ve managed teams that have built and shipped machine learning systems and data products at scale, and have hands-on experience with challenging problems.
• You work very well cross-functionally, and are able to think rigorously and make hard decisions and tradeoffs.
• You have clear and persuasive communication skills in writing and verbally.
• You thrive on a high level of autonomy and responsibility.
• You foster a healthy, inclusive, challenging, and supportive work environment.

Preferred requirements

• You are comfortable working with geographically distributed teams
• Expertise in time series forecasting, predictive modeling, or optimization
• Expertise in data design and building scalable data architectures

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

Growth Data Science

The Growth Data Science team helps businesses on Stripe get started both quickly and effectively. We work closely with Growth product and engineering leads to optimize every step of the user journey, from awareness and acquisition, through product adoption, to usage growth and retention. Our team is known for being an experimentation powerhouse, for pushing the frontiers of causal analysis and cumulative impact measurement, and for developing a deep understanding of the user journey that helps drive the product roadmap. We work closely with Growth Product and Engineering, and more broadly with Sales, Marketing, Developer Platform, Support, and Risk teams.

What you’ll do

Data Science Managers at Stripe are responsible for the success of their team. You’ll be deeply involved in the modeling and design processes as well as coaching, mentoring, and leading the team. You’ll have a deep understanding of how to drive efficient data science teams and you’ll have a strong user-focus. You’ll be working with data scientists, analysts and engineers on creating technical solutions and communicating effectively across teams and senior leadership.

Responsibilities

• Drive the roadmap and priorities for your team, and work with many Stripe leaders across the company to enhance our ability to be data driven.
• Collaborate with stakeholders across the organization such as engineering, analytics, operations, finance, and marketing.
• Lead and manage processes to help the team do its best work and engage effectively with the rest of Stripe
• Manage a high-performing team of data scientists, supporting them to achieve a high level of technical excellence and advance in their careers.
• Recruit and onboard great data scientists, in collaboration with Stripe’s recruiting team
• Contribute to broad data science initiatives as a member of Stripe’s data science management team.

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

• A PhD or MS or BS in a quantitative field (e.g., Statistics, Operations Research, Economics, Computer Science, Engineering).
• You have at least 3 years of direct management experience leading data science or ML teams, and 10 years of overall data science experience.
• You have demonstrated expertise in designing metrics and guiding business decisions with data.
• You have technical expertise to drive clarity with staff and senior scientists about architecture and strategic modeling decisions.
• You’ve managed teams that have built and shipped machine learning systems and data products at scale, and have hands-on experience with challenging problems.
• You work very well cross-functionally, and are able to think rigorously and make hard decisions and tradeoffs.
• You have clear and persuasive communication skills in writing and verbally.
• You thrive on a high level of autonomy and responsibility.
• You foster a healthy, inclusive, challenging, and supportive work environment.

Preferred requirements

• You are comfortable working with geographically distributed teams
• Expertise in time series forecasting, predictive modeling, or optimization
• Expertise in data design and building scalable data architectures

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

The Enterprise Product team is responsible for bridging the gap between Stripe's core capabilities and the bespoke needs of the world's largest organizations. We are hiring PMs who will be aligned to specific priority industries (e.g., insurance, healthcare, public sector), with each PM acting as the "CEO" of their assigned vertical - identifying high-leverage opportunities, building 0-to-1 products to solve industry-specific blockers, and influencing our global product roadmap. You will be a critical partner to GTM leadership (Sales, Partnerships, Marketing) and a navigator across the broader Product organization. We are looking for high-agency builders who thrive in ambiguity and know how to move mountains through both direct execution and cross-functional influence.

What you’ll do

We're hiring a Product Manager to own Stripe's product strategy and execution across our priority industry verticals, starting with complex, regulated industries like insurance, healthcare and public sector. We are seeking a highly entrepreneurial, data-driven product leader who will define where Stripe plays, build 0-to-1 products to unlock new revenue, and influence Stripe's broader Product organization to meet the unique needs of enterprise customers in your vertical. The products you build will directly shape how the world's largest companies use Stripe - and how Stripe grows within one of its most strategic segments.

Responsibilities

• Own the Industry Product Roadmap: Define and execute the multi-year product strategy for your priority vertical. Translate your "where to play / how to win" thesis into a concrete roadmap - deciding what Stripe builds natively, what we solve through platform extensibility, and where we partner. Own measurable outcomes tied to revenue, adoption, and merchant satisfaction. 
• Ship 0→1 Products: Identify unmet needs through deep customer research, data analysis, and market intelligence. Lead the full product lifecycle for industry-relevant functionality - from problem definition and technical scoping with engineering, through PRD, API and UX design, build, launch, and post-launch iteration. You'll make hands-on trade-off decisions about scope, technical approach, and sequencing with your engineering team. 
• Be a Strategic Partner to GTM and Customers: Work deeply with our largest customers, partners, and GTM teams. Translate "market noise" into clear product signal - shaping feature requirements, and defining the data models and integration patterns that enterprise customers in your vertical need.
• Act as a Force Multiplier Across Stripe's Platform: Influence Stripe's core product teams (Payments, Billing, Connect, and beyond) to ensure their roadmaps reflect the requirements of enterprise customers in your vertical. To do this credibly, you'll need to go deep on Stripe's platform - understanding our APIs, infrastructure constraints, and extensibility model - so you can advocate for changes with technical specificity, not just business cases.

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

• 12+ years of Product Management experience, with a track record of shipping successful products in complex, regulated environments.
• Technical fluency: You don't need to write code, but you should be comfortable reading an API spec, reasoning about system design trade-offs, and holding your own in engineering discussions. You've shipped products where the "how we build it" mattered as much as the "what." 
• Deep customer obsession: A talent for getting close to customers - talking to merchants and partners - and distilling complex pain points into simple, elegant product requirements.
• Analytical rigor: You use data - not just intuition - to prioritize. You're comfortable defining metrics frameworks, digging into usage data, and making quantitative arguments for (or against) product investments. 
• A Master Communicator: Stripe is a writing-heavy culture. You must be able to articulate deep technical and strategic concepts through precise, persuasive prose - your narrative docs should be things of beauty.
• High Agency & Influence: Adept at finding "homes" for initiatives, building consensus across disparate teams, and driving momentum without needing formal authority.
• Entrepreneurial mindset and bias for action: Comfortable with ambiguity, skilled at prioritizing high-impact initiatives, and experienced operating with limited resources to unlock outsized outcomes.

Preferred qualifications

• Direct experience building products in Healthtech, Insurtech, Public Sector or similarly complex, regulated industries.
• Experience building platform, API, or developer-facing products. 
• Experience working closely with Enterprise Sales teams and C-suite stakeholders at Fortune 500 companies.

Business Overview 

KINESSO is a technology-driven performance marketing agency that provides actionable growth for both our agency partners and clients. We turn 'action' into 'outcome' for our clients, leveraging our unique capabilities in optimization, analytics, AI, and experimentation. KINESSO has brought together the collective power of what was formerly Matterkind, Reprise, P3, and Kinesso under one collective entity that will serve as the most powerful delivery engine in the industry. We have extensive offerings spanning across performance marketing and data and technology. Fueled by a deep understanding of consumer behavior, we offer an end-to-end engine of planning and optimization while also delivering on data-driven strategy for social platforms, actionable growth in e-commerce, and creating curated marketplaces specific to each client's function and needs. The company has more than 6,000 employees operating in more than 60 countries. Learn more at www.KINESSO.com.

Position Overview

As a passionate and driven paid social expert, you thrive in collaborating with an integrated marketing team, transforming senior-level digital strategies into effective daily tactics. In this role, you'll lead Paid Social Associates and Sr. Associates, offering mentorship, training, and ensuring all work meets quality standards. Your responsibilities include managing day-to-day operations, guiding your team to achieve client goals and KPIs, and fostering strong client relationships. You're eager to deliver top tier paid social campaigns for high-profile brands, confidently communicating the impact of tactics and strategies as the primary client contact. You excel in a dynamic environment, where training and coaching team members is key to ensuring flawless execution.

Responsibilities

• Responsibilities will be across social media platforms such as Facebook, Instagram, Pinterest, SnapChat, Twitter, LinkedIn, TikTok and Reddit
• Responsible for overseeing Paid Social Associates and Sr. Associates on the team and owning their career development
• Developing and overseeing optimizing, and maintaining paid social campaigns for clients, including coordination of assets between creative agencies and budget management
• Works with a cross-discipline team to integrate paid social media strategy into a multi-channel, holistic recommendation.
• Uses strong quantitative skills, including analytical and story-telling ability, to analyze data and provide insights and optimization recommendations. Familiarity with third-party data and measurement solutions. Developing, executing, and testing across campaign variables that create client-specific insight and feed future successions of testing.
• Helps creatives express their ideas with feasible recommendations to tie it closer to the brief. Passionate about innovation and the creative process, desires to find creative ways to say "yes" to ideas and to contribute your own.
• Understanding client goals and how to maximize those measures of success through tactical strategies and technologies; Maintaining and optimizing client campaigns to improve overall performance against pre-determined benchmarks on an ongoing basis
• Brainstorming and researching new first to market ideas including new betas and opportunities with our partners.
• Strong familiarity with 3rd-party tracking vendors and integrating with social platforms

Required Skills and Experience

• Substantial experience in account management, planning, and/or performance media experience
• Strong working understanding of the Paid Social platforms, including major players and supporting technology Facebook Ad Manager, X (formerly Twitter) Ads, etc.
• Demonstrable experience working with multiple partners, on enterprise level paid social media accounts with diverse budget levels and objectives
• Proven ability to understand high-level client goals and how they translate into paid media strategy when applied via online technologies
• Ability to effectively communicate processes and tactics to clients, peers, and junior members of the team
• Understanding of paid social measurement and experience utilizing multiple native measurement tools
• Excellent written and verbal communication skills

Desired Skills and Experience

• 3+ years of experience
• Agency experience strongly preferred
• Detail and process oriented, with the ability to multitask and prioritize tasks based on client objectives
• Time management skills

Wage and Benefits

We offer a Total Rewards package that includes medical and dental coverage, 401(k) plans, flex spending, life insurance, disability, employee discount program, employee stock purchase program and paid family benefits to support you and your family.

The salary range for this position is posted below. Where an employee or prospective employee is paid within this range will depend on, among other factors, actual ranges for current/former employees in the subject position, market considerations, budgetary considerations, tenure and standing with the Company (applicable to current employees), as well as the employee’s/applicant’s skill set, level of experience, and qualifications.

Employment Transparency

It is our policy to provide equal employment opportunities to all employees and applicants for employment without regard to race, color, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, veteran status, disability, or any other basis prohibited by applicable federal, state, or local law.

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

The employer will make reasonable accommodations in compliance with the American with Disabilities Act of 1990. The job description will be reviewed periodically as duties and responsibilities change with business necessity. Essential and other job functions are subject to modification. Reasonable accommodations may be provided to enable individuals with disabilities to perform the essential functions.

For applicants to jobs in the United States: In compliance with the current Americans with Disabilities Act and state and local laws, if you have a disability and would like to request an accommodation to apply for a position, please email accommodation@mbww.com.

Noom is on a mission to help people live better, longer. We're a consumer-led digital health company, connecting people to content, coaching, community, and clinicians, to build lasting habits and live healthier lives. We're a high-growth organization powered by science, technology, and world-class talent. When you join Noom, on any team, you'll see the impact of your work on the world.

Our Clinical team is at the heart of Noom's ability to deliver medically sound, scalable health programs. We sit at the intersection of clinical excellence and operational innovation, partnering with Product, Engineering, and our B2B team to implement and grow Noom’s clinical and behavioral programs.

About the Role

As we continue to grow, we're seeking a Senior Director, Clinical Operations to lead and scale our clinical operations function. Reporting to the SVP of Health Operations and Customer Experience, you will inherit an existing team and portfolio of active initiatives and build new ones. You will own the clinical protocols, vendor relationships, and operational models that bring Noom's clinical programs to life across B2B and direct-to-consumer channels.

You Will

• Own the end-to-end clinical operations org for Noom Med, spanning D2C and B2B, including the strategic expansion of clinical programs, protocol development, and operationalization of new initiatives in partnership with Product and Engineering
• Serve as the operational bridge between clinical strategy and execution, ensuring commitments made to members and enterprise partners are delivered with quality, precision, and measurable outcomes
• Lead and scale a high-performing clinical ops team, managing hiring plans and headcount growth as the business expands
• Drive clinical implementations across D2C and B2B strategic initiatives, coordinating across internal clinical teams, external provider networks, and vendor partners to bring programs to life.
• Own the provider and member experience, holding provider satisfaction, clinical quality, and member health outcomes as core success metrics
• Build and maintain the operational infrastructure that powers the clinical org: capacity models, utilization targets, reporting frameworks, and workflow systems that scale with growth
• Evolve and adapt your roles and responsibilities to support Noom Med as it continues to grow
• Be comfortable with occasional travel
  
  

About You

If you're interested in shaping the future of digital health and building the operational foundation that makes it possible, this role may be for you!

You Have

• 8+ years of clinical operations experience, with 3+ years in health tech (telehealth, consulting, payor, provider, or services)
• Experience in digital healthcare required; healthcare subscription background acceptable
• Bachelor’s degree, or eqjuivalent level of education
• Demonstrated ability to lead people, run operations, and think strategically at a senior level
• Distinctive analytical and quantitative skills; you can model trade-offs, evaluate information, and translate strategy into operational plans
• Exceptional communication skills and the ability to manage a complex portfolio of stakeholders and initiatives
• End-to-end telehealth experience is a strong plus
  
  

What Makes This Job Amazing

• You will be at the forefront of one of the most exciting movements in healthcare, where the work you do directly impacts millions of people's health outcomes
• You will have real ownership and real impact, giving you the rare opportunity to both run the business and shape where it goes next
• You will work at the intersection of technology, healthcare, and behavior change at a company that has helped millions live healthier lives and is just getting started

What You’ll Earn and Enjoy:

• Pay that reflects your impact. Compensation benchmarked to the market and shaped by your impact and value.
• Investment in your future. A 401(k) with company match to help you build long-term financial security.
• Time to truly recharge. Paid holidays, generous time off, Summer Fridays, and a company-wide Summer Break week so the whole team can unplug together.
• Care that covers it all. Access to top-tier medical plans for you and your family, including a premium-free plan option, alongside dental, vision, and life insurance.
• Support for growing families. Paid parental leave to give you the time and flexibility to focus on what matters most.
• And more to help you thrive. Stock awards, performance-based bonus, and exclusive access to Noom’s products, so you can grow with us, win with us, and enjoy what we build.

The base salary range for this position is $225,000 - $265,000. Actual compensation is determined by job-related factors, including experience, skills, qualifications, and location. 

We have office locations in NYC and Princeton (hybrid schedule, 2 days per week on-site), and may consider candidates in other locations on a remote basis.

More About Noom

Noom is a leading whole-person health platform on a mission to help people live better, longer. We combine personalized medication with the science of behavior change and psychology, to help people build lasting habits and live longer, healthier lives. With nationally-recognized, holistic programs spanning weight, diabetes prevention, GLP-1 support, menopause, longevity, and more, we serve millions through health plans, employers, and direct-to-consumer offerings. As a trailblazer in the world of health and wellness, Noom makes healthy living easy, fun, and deeply rewarding.

We’re more than a health tech company—we’re a movement. This belief extends to our culture: we empower our people to think big, act boldly, and take pride in their contributions to shaping the future of health. With a strong remote culture, as well as offices in NYC and Princeton, we’ve been named one of the Best Places to Work by Inc., Fortune, Glassdoor, and Quartz—including honors for technology and diversity.

Join us in shaping the future of health. You’ll be part of a passionate, mission-driven team working to make the world a healthier place—one habit at a time.

Noom is proud to be an Equal Opportunity Employer, and all applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, caste, national origin, physical or mental disability, protected veteran status, age, or any other characteristic protected by applicable law. Noom is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities. 

To help protect against potential hiring scams, please be aware that all email communications from the Noom Talent team and/or hiring managers will come only from an @noom.com email address. Please ignore any messaging or communication from other domains (e.g. @noom.team). Noom will never ask you for personal payment, require you to purchase equipment, conduct an interview process or messaging exchange via Microsoft Teams, or extend a job offer without the completion of a multi-step interview process featuring a combination of phone, Zoom, and in-person interviews, as well as references. If you are unsure about the validity of a Noom job posting on another website, we strongly encourage you to apply directly through our website.

Data at Brex

The Data organization develops insights, models, and data infrastructure for teams across Brex, including Sales, Marketing, Product, Engineering, and Operations. Our Data Scientists, Analysts, and Engineers work together to make data—and insights derived from data—a core asset across the company.

What you’ll do

As a senior Data Analyst (DA III), you will own the end-to-end analytics lifecycle for one or more business areas at Brex. You’ll go beyond building dashboards—you’ll frame the right questions, design rigorous analyses, apply statistical methods, and translate your findings into clear recommendations for leadership. You will also serve as a technical leader on the Data Analytics team, mentoring more junior analysts and helping define the standards and best practices that elevate the team’s work.

This role sits at the intersection of analytics, analytics engineering, and business strategy. You’ll work in a modern data stack environment and partner closely with Data Scientists, Data Engineers, and senior leaders across the organization.

Where you’ll work

This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Own the analytics lifecycle for assigned business areas: from problem framing and data sourcing through analysis, insight generation, and stakeholder presentation.
• Build and maintain dashboards and self-service reporting tools that enable business teams to independently track performance, identify risks, and make data-driven decisions.
• Write production-quality SQL and Python code to extract, transform, and analyze data at scale.
• Collaborate with Data Engineers and Data Scientists to develop and maintain analytical data models, improve data pipelines, and ensure data quality across the organization.
• Partner with leadership across Sales, Operations, Product, Finance, and other departments to identify high-impact analytical opportunities and deliver actionable recommendations.
• Mentor other data analysts and contribute to the development of team standards, documentation, code review practices, and analytical frameworks.
• Proactively identify gaps in data infrastructure, propose improvements, and contribute to the evolution of the team’s tooling and processes.

Requirements

• 5+ years of experience in data analytics, business intelligence, or a related quantitative role.
• 3+ years of experience partnering directly with Sales, Operations, Product, or equivalent business teams as an embedded analytics partner.
• Advanced SQL proficiency, including CTEs, window functions, performance optimization, and working across complex data models.
• Proficiency in Python for data analysis, automation, and modeling (Pandas, NumPy, scikit-learn, or similar).
• Experience with cloud data warehouses, particularly Snowflake (BigQuery and Databricks also valued).
• Hands-on experience with BI and data visualization tools (Looker, Tableau, Hex, or similar).
• Strong stakeholder management skills—proven ability to present complex technical findings to non-technical audiences.
• Experience with generative AI and LLM-based tools (Claude Code, Cursor, GitHub Copilot) to perform and accelerate analyses, automated reporting, and build self-service data tools.

Bonus points

• Demonstrated experience applying statistical methods to business problems (e.g., regression, classification, A/B testing).
• Experience with dbt for data modeling and transformation.
• Experience building and maintaining data pipelines using orchestration tools such as Airflow.
• Experience working with APIs for data ingestion and integration.
• Familiarity with version control systems (Git).
• Experience in fintech, financial services, or payments.
• Track record of leading cross-functional analytics projects from scoping through delivery.

Compensation

The expected salary range for this role is $114,192 - $142,740. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

Position Summary: 

Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Machine Learning Engineer.  We are looking for a software engineer with machine learning expertise to join us in expanding our AI capabilities, enabling increased productivity and magical experiences in our products and services. 

In this role you will be expected to design and implement complex AI systems that leverage ML models for NLP, NLG, multimodal data analysis, chatbots, and RAG-based QnA. The ideal candidate should be passionate about applying AI/ML concepts to difficult problems and develop scalable solutions. We want people who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing capabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare. 

Responsibilities: 

• Develop and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc. 

• Develop and maintain backend services using Python, focusing on AI-driven applications. 

• Design and implement APIs for seamless integration with AI models and services. 

• Develop tools for large-scale data processing and ETL and contribute to extracting insights from data to help guide ML systems development 

• Participate in code reviews, testing, and quality assurance processes. 

• Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services. 

• Develop algorithms to ensure the integrity and robustness of ML solutions by developing automated testing and validation processes. 

• Document and communicate development processes and implementation details with peers and supervisors 

• Ensure the security and compliance of healthcare data, adhering to HIPAA regulations. 

Required Qualifications: 

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related quantitative field. 

• 2+ years experience in the industry with a strong focus on ML solutions development and production deployment is a plus. 

• Good understanding of Machine Learning fundamentals such as Deep Neural Networks, Transformer-based LLM and MLMs, Boosted or standard decision trees, RAG, etc.  

• Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development. 

• Proficiency in Python and familiarity with ML libraries such as PyTorch. 

• Familiarity with GenAI services such as OpenAI GPT, Anthropic Claude, Google Gemma etc. Some experience in developing and fine-tuning prompts on any of the GenAI services is a plus. 

• Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking. 

• The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment. 

• Good written communication skills that enable collaboration in a remote environment. 

Eulerity is an AI-native marketing automation platform. Our software runs paid advertising, social, listings, reputation, and call tracking for thousands of locations across enterprise franchises and SMB networks, executing autonomously across Google, Meta, Apple, and Microsoft. The Technical Operations team is the analytical engine that keeps that execution sharp.

We are hiring an intern to sit with this team for the summer.

Who we are looking for

This is not a marketing internship. We are looking for someone who is genuinely analytical. The kind of person who opens a messy dataset and gets curious instead of overwhelmed. Who enjoys figuring out why a number moved. Who can read a chunk of SQL or Python and follow what it does, even if they would not write it from scratch. Who would otherwise be heading toward an analyst seat at a consulting firm or a product role at a startup.

If you love spreadsheets, you will feel at home here. If you have ever built a model in Excel just to understand something better, even more so.

What you will actually do

You will work directly with our Technical Account Management and Analytics teams on the parts of campaign management that require thinking, not clicking. That includes:

• Diagnosing why specific campaigns are underperforming and proposing fixes grounded in the data.
• Building and refining Excel and Sheets models that our account teams use to make decisions.
• Auditing campaigns at scale, often across hundreds of locations for a single brand, and surfacing patterns no one else has noticed.
• Pulling, cleaning, and analyzing performance data from Google Ads, Meta, LinkedIn, and our internal platform.
• Helping operationalize new analytical workflows, including ones we are building on top of AI tooling.
• Contributing to internal projects that make our team faster and smarter.

You will not be writing ad copy or designing creative. You will be doing the analytical work that makes the campaigns actually perform.

What we want from you

• Current student or recent graduate, ideally with coursework in something quantitative. Economics, statistics, computer science, engineering, math, finance, or similar. A traditional marketing background is not what we are looking for here.
• Strong Excel chops. Comfort with pivot tables, lookups, conditional logic, and building models from scratch.
• Basic code literacy. You do not need to be a programmer, but you should be able to read SQL, Python, or JavaScript and roughly understand what it is doing.
• Comfort with AI tools as a daily part of how you work. We expect everyone here to use them aggressively and intelligently, and you should be the kind of person who already does.
• Sharp written communication. You can take a messy analysis and explain the takeaway in three sentences.
• Detail-oriented and self-directed. You catch things other people miss and you do not need to be told twice.

Logistics

• Summer 2026, with potential to extend based on performance.
• Hybrid out of our NYC office, 3 to 4 days per week in person.
• Minimum 20 hours per week, flexible schedule.
• $16 to $18 per hour.
• Lunch credits and unlimited snacks when in-office.
• Direct mentorship from senior operators on our team.

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IMPORTANT 🛑

PLEASE FILL THIS FORM TO COMPLETE YOUR APPLICATION 

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The Role 

We are seeking a talented individual within our Credit COO team, driving business management, PM onboarding, business analytics, and cross-functional initiatives. This role combines strategic planning, operational execution, and data-driven insights to optimize performance, enhance efficiency, and support growth across the business. This role reports into the COO of Credit.

What you’ll do

Business Management

• Act as a partner to the Credit COO & Credit Business, translating business and infrastructure initiatives into detailed plans.
• Develop and own the plan for these growth initiatives and PM builds.
• Identify, recommend and drive actions to enhance the Core business.

PM Onboarding & Lifecycle Management

• Coordinate pre-launch testing, market data, and trading integrations for newly on-boarded PMs.
• Lead onboarding of new PM teams, e.g. market-data entitlements, trading-system connectivity, and counterparty onboarding.

Business & Performance Analytics

• Help Design dashboards on KPIs and business metrics.
• Lead cost/benefit cases for data, analytics and technology spend; track realized savings and ROI.

Project Management

• Lead strategic, cross functional projects across operations, treasury, compliance, and technology—owning end to end delivery and change management, and ensuring these projects are appropriately prioritized in the overall book of work.
• Run high-priority, cross-desk projects and own end-to-end delivery.
• Coordinate with Legal / Treasury to support trading strategies.

Vendor & Data Management

• Own the vendor lifecycle for trading and analytics platforms (contract negotiation, SLA governance, ongoing performance reviews).
• Stay abreast of emerging data/analytics vendors in macro and fixed income and evaluate fit for the platform.

What you’ll bring
What you need:

• 5-7 years in business management / COO or product related role on the Buy-Side (hedge fund, asset manager) or sell-side fixed income business.
• NY Based
• Good Fixed Income or Credit product knowledge.
• Fluency with trading technologies: order & execution-management systems, market-data feeds.
• Advanced analytical toolkit—Excel / VBA a must; Python, SQL or PowerBI strongly preferred.
• Exceptional project-management, prioritization, and stakeholder-influencing skills; comfortable presenting to senior management.
• Highly organized, proactive and able to manage multiple deliverables in a fast-moving market environment.
• Impeccable integrity and discretion when handling sensitive trading and financial information.

Who we are  
Schonfeld is a global multi-manager hedge fund that strives to deliver industry-leading risk-adjusted returns for our investors. We leverage both internal and external portfolio manager teams around the world, seeking to capitalize on inefficiencies and opportunities within the markets. We draw from decades of experience and a significant investment in proprietary technology, infrastructure and risk analytics to invest across four main strategies: Quant, Tactical, Fundamental Equity and Discretionary Macro & Fixed Income.

Our Culture
At Schonfeld, we’ll invest in you. Attracting and retaining top talent is at the heart of what we do, because we believe that exceptional outcomes begin with exceptional people. We foster a culture where talent is empowered to continually learn, innovate and pursue ambitious goals. We are teamwork-oriented, collaborative and encourage ideas—at all levels—to be shared. As an organization committed to investing in our people, we provide learning and educational offerings and opportunities to make an impact. We encourage community through internal networks, external partnerships and service initiatives that promote inclusion and purpose beyond the firm’s walls.

The base pay for this role is expected to be between $150,000.00 and $190,000.00. The expected base pay range is based on information at the time this post was generated. This role may also be eligible for other forms of compensation such as a performance bonus and a competitive benefits package. Actual compensation for the successful candidate will be determined based on a variety of factors such as skills, qualifications, and experience.

#LI-MM1

IMC Americas, Inc. has multiple openings for Trader (REQ#4461664101) in Chicago, IL and Brooklyn, NY.

Your Core Responsibilities

• Develop, maintain, and enhance mathematical models, strategies, and trading system components for quantitative proprietary trading in collaboration with developers (10%).
• Independently design and implement changes to trading models, strategies, and systems from end-to-end, including conceiving of proposed changes, creating a testing plan, and performing tests, and implementing changes (15%).
• Analyze, interpret, and model financial, economic, and industry data to optimize trading and maximize revenue generation using existing internal tools (15%).
• Create custom analysis tools for use at the firm to perform research beyond available analysis tools (5%).
• Prepare and present high-quality financial analysis and reports following IMC global guidelines (15%).
• Perform daily operational tasks on the trading desk, ensuring systems are running correctly and escalating as needed to designated contacts (15%).
• Supervise and mentor graduate traders and interns (10%).
• Train graduate traders through the firm's traineeship (5%).
• Contributing to planning and prioritization decisions of future projects on their trading desk (5%).
• Monitoring and managing a trading firm's risk exposure (5%).

Partial telecommuting permitted. Multiple positions available. Requisition Number: 4461664101

Your Skills and Experience

This position requires a Bachelor's degree, or foreign equivalent, in Mathematics, Econometrics, Computer Science, Financial Engineering, Physics, or similarly quantitative and mathematical field and one (1) year of experience in the job offered or a related position.

Must have experience in the following skills:

• Developing, maintaining, and enhancing mathematical models, strategies, and trading system components for quantitative proprietary trading in collaboration with developers;
• Operating trading strategies through a range of market circumstances, having a thorough understanding of risk at any point in time;
• Rolling out and verifying new features on trading strategies;
• Managing a trading firm's risk exposure;
• Using Python and python coding libraries, including Pandas, NumPy, and SciPy to assist in quantitative analysis; and
• Experience trading products and navigating compliance regulations in trading markets. 

Requires FINRA Certifications: (1) SIE and (2) Series 57.

#LI-DNI

About this role

We are seeking a highly strategic and outcome-oriented Senior Growth Partnerships Manager to scale our affiliates and partnerships-driven retailer acquisition strategy. This role will be responsible for driving the strategy and execution of our affiliate channel, which includes managing our agency and external vendor relationships, exploring and testing new growth opportunities across the broader partnerships ecosystem, and rigorously tracking performance to ensure it is a consistent, ROI-positive contributor of retailer acquisitions (RAs) at scale

With 5-8 years of experience in growth marketing or partnerships strategy, the ideal candidate is equally comfortable on the partner relationship side and the quantitative side of growth. We are looking for someone who brings a metrics-driven lens to everything they own, thrives in a fast-paced, test-and-learn environment, and has a track record of scaling acquisition-driven programs from 0 to 1, and beyond. This is a high-impact role that requires a well-rounded leader, and the ideal candidate is a results-focused, structured thinker who can drive complex projects to completion with minimal direction.

What you’ll do 

• Affiliate Program Management: Directly drive Faire’s GMV and revenue growth by owning and optimizing our affiliate program end-to-end to maximize retailer acquisition growth while maintaining efficient acquisition costs.
• Agency & Partner Relationship Management: Serve as the primary point of contact for our affiliate agency. Oversee program execution, set clear deliverables, and hold the agency accountable to performance targets to ensure continued strong results. Evaluate and make recommendations on the right operating model — agency-led or in-house — as the program scales.

New Channel Development: Build the ROI case to test new acquisition channels within the broader partnerships ecosystem — including blog, influencer, and referral programs. Establish and refine KPIs, analyze performance data, and continuously iterate to maximize scale and efficiency.

• Partnership Strategy and Prioritization: Analyze the third-party partner ecosystem and invest in innovative BD partnership models to drive retailer acquisition, including direct partnerships, sponsorships and trade show collaborations. Test deal structures and own the product/design integration and messaging framework for new partnerships.
• Performance Measurement: Analyze and own accountability for campaign and channel performance; partner with Marketing Analytics and MarTech to hit KPI targets, maintain strong reporting, ensure reliable attribution, and uphold data quality standards.
• Collaborate cross-functionally: Work closely with Growth Marketing, Marketing Analytics, Business Development and Product teams to integrate partnerships into our broader acquisition strategy.

SEO/AEO Support: Collaborate with cross-functional partners to support SEO and AEO initiatives where partnerships can contribute to organic discovery and retailer acquisition goals.

Qualifications

• 4+ years of experience in Growth Marketing or Partnerships, with a focus on acquisition-driven partnerships in B2B or B2C (e.g., affiliates, influencers, referrals, sponsorships).
• Deep understanding of affiliate marketing strategies, including experience with networks, publishers, influencers, and performance-based partnerships; experience managing affiliate networks (e.g., Impact, PartnerStack, CJ, Rakuten, Awin, ShareASale) and developing direct partnerships.
• Proven experience managing external agencies or vendors, including setting deliverables and holding partners accountable to performance targets
• Proven ability to scale affiliate programs within ROI guardrails, optimize partner performance, and manage both long-tail and strategic partnerships with the tenacity to overcome obstacles to growth.
• Hands-on experience in testing and launching new growth channels, including referral programs, influencer partnerships, and non-traditional acquisition channels.
• Ability to identify and cultivate high-value third-party partnerships, balancing short-term testing with long-term scalability and opportunity sizing.
• Some experience structuring or negotiating partnership or business development deals
• Excellent analytical, organizational, and written/verbal communication skills; Can effectively communicate through data using clear and concise summary; familiar with SQL or willingness to learn a plus. 
• Strong project management and execution skills, able to drive multiple initiatives simultaneously in a fast-paced environment.

Salary Range

New York: the pay range for this role is $148,000 to $203,500 per year.

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

About this role

We are looking for an experienced Senior Business Intelligence Analyst to scale a critically important function responsible for building and maintaining systems, processes and services that enable us to understand financial performance and unlock key business insights at Faire. The ideal candidate for this role will ensure key accounting procedures are automated in ways that are accurate, efficient, easy-to-understand, and scalable. This role will sit in the Finance department and collaborate with team members from a breadth of functional groups across Faire, including Accounting, Finance & Strategy, Engineering and Data Infrastructure. This role will have a tremendous impact on the ability for Faire employees to use data effectively in order to report numbers externally and make impactful decisions internally. As an early member of a burgeoning team, you will have the opportunity to write the roadmap for how we improve access to business critical data and unlock automation that amplifies the impact of a variety of functions. 

What you’ll do 

• Scope, design, create, and manage complex ETL flows that aggregate and synthesize key business performance metrics and financial reporting, ensuring efficient, accurate, and scalable data models using best practices 
• Act as a trusted analytical partner to the Accounting and Finance teams providing technical expertise, gathering requirements from product and operational teams, and enabling data-driven decision-making and accountability by ensuring core ledgers accurately reflect business changes 
• Collaborate closely with Engineering, Data Infrastructure, and other stakeholders as a key translator and process improver, gathering requirements and delivering impactful data solutions that ensure alignment and efficiency across the organization 
• Lead initiatives to drive data strategy, roadmap planning, and prioritization, ensuring alignment with business objectives 
• Act as a thought leader to expand the team’s influence and impact throughout the Finance team and the broader organization 
• Drive workflow automation and innovation across Finance, including identifying and implementing Gen-AI–enabled productivity solutions to modernize processes and increase team leverage

Qualifications

• 5+ years of work experience in Business Intelligence, Analytics Engineering, Data Analytics, or comparable function 
• Expert in SQL with focus on data modeling, large-scale data processing, and tool development for analytics or Financial use cases. 
• Experience and knowledge of data warehousing concepts, ETLs, big data technologies, and analytics platforms 
• Experience with analytics workflow tools (examples: Airflow, Docker, dbt), data warehousing and storage (examples: Snowflake, BigQuery, Redshift, S3), and data visualization tools (examples: Mode, Tableau, Looker) 

Nice to have: 

• Experience with Python, R or other programming languages 
• BA/BS degree, ideally in computer science, math or another quantitative field 
• Familiarity with version control using Git and proficiency in command-line tools for workflow automation and data manipulation

Salary Range

San Francisco and New York: The pay range for this role is $174,500 to $240,000 per year. 

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

Location: NYC

Hybrid

Full-time

Role summary

Join Payoneer as a Corporate Development & M&A Associate, where you'll leverage your financial modeling and market analysis skills to evaluate acquisition opportunities. Collaborate with global teams in a hybrid work environment to drive strategic growth and maintain relationships with key stakeholders.

What you'll do:

• Building in-depth financial models, analyses and presentations to help Management discuss merits of acquisition vs. partnership vs. building in-house
• Performing detailed due diligence on potential transactions
• Conducting research of key areas of M&A focus, including analysis of the competitive landscape, industry trends, and reaching out to targets identified
• Attending conferences to build M&A pipeline; maintaining relationships with investment banks

 Who you are:

• Bachelor’s degree in a quantitative discipline with 2+ years of relevant experience
• Strong quantitative skills in financial modeling and market analysis, with past experience in investment banking, corporate development, or a similar analytical role
• Strong communication skills, including development of clear memos and presentations to senior management at the Company
• Collaborative mindset to work within the team and across different functions of Payoneer
• Experience within the payments industry and understanding of its current evolution across the world a plus

#LI-AB4

#LI-Hybrid

About the Role:

Tubi is seeking a Sr. Lead, Vertical Marketing to help shape and execute industry-specific marketing strategies that elevate Tubi’s presence in key verticals. In this role, you’ll partner closely with the Sr. Manager of Vertical Marketing while taking the lead on go-to-market strategy for high-potential verticals where focused, impactful marketing can drive outsized results.You’ll partner closely with Sales, Ad Product Marketing, Creative, Events, and Research teams to bring to life compelling narratives, sales enablement tools, and campaign strategies that drive awareness and revenue among category advertisers.

This is a strategic and hands-on role suited for a B2B marketer who is equal parts creative storyteller, project manager, and collaborator—with an interest in helping advertisers understand the unique value of Tubi’s ad-supported streaming platform.

This is a hybrid role based out of our New York or Los Angeles office. You must be willing to travel to our office two days/week. 

What You'll Do:

• Own the marketing strategy and execution for key verticals by creating content and programs that highlight Tubi’s value proposition to key stakeholders within these industries.
  Support the Sr. Manager, Vertical Marketing in developing scalable marketing frameworks and playbooks across additional verticals, collaborating on insights and opportunities that can be leveraged across industries.
• Build sales enablement materials, including pitch decks, one-sheeters, and talking points tailored to the needs of your assigned verticals.
• Partner with Sales and the Ad Solutions team to surface success stories, case studies, and use cases that support active conversations with advertisers.
• Contribute to cross-functional GTM planning by collaborating with Events, Creative, Product Marketing, and Research to bring campaigns and thought leadership to market.
  Help execute vertical-specific marketing activations such as webinars, conferences, or sponsorships, ensuring flawless delivery and follow-up.
• Monitor industry trends, advertiser behavior, and campaign performance to inform content and marketing tactics.
• Ensure all work aligns with brand guidelines, legal compliance, and cross-functional feedback loops.

Your Background:

• 4–6 years of experience in B2B marketing, media, or ad tech, ideally supporting Sales or industry marketing
  Understanding of the advertising ecosystem, particularly in digital or streaming video
  Strong storytelling and content development skills—able to distill complex ideas into clear and persuasive marketing materials
• Ability to manage multiple projects across teams, prioritizing effectively while keeping a high standard of quality
  Familiarity with industry or category marketing in the ads business a plus, but not required
  Comfortable working independently while contributing to a collaborative team environment
• Data-minded with the ability to connect qualitative insights and quantitative results to drive marketing outcomes

#LI-MJ1

#LI-Hybrid 

About EG

Engineers Gate (EG) is a leading investment manager founded in 2014 as a quantitative, computer-driven trading firm. Today, EG operates as a diversified, multi-strategy investment platform that combines systematic research with selective discretionary approaches. 
 
EG's multi-manager platform allows independent investment teams to pursue distinct strategies while benefiting from shared infrastructure, risk management, and operational support. The firm’s collaborative groups of researchers, engineers, and investment professionals deploy sophisticated statistical models, proprietary technology, and a centralized data platform to isolate and solve challenging problem sets in the global financial markets. 

About The Role 

We are seeking an End User Services Engineer to join our Information Technology team. In this role, you will be part of a global team responsible for ensuring reliable, secure, and high-performance technology operations across all business units. This role requires hands-on end-user support, proactive issue resolution, and ownership of IT systems that enable productivity at scale. You will support traders, executives, and research staff in a fast-paced, mission-critical environment.  

The ideal candidate will have combined deep technical knowledge with outstanding communication and problem-solving skills, consistently delivering “white glove” service while improving systems and processes. This role is ideal for an engineer who thrives on solving complex problems, values precision and responsiveness, and wants to make a direct impact on mission-critical operations within a high-performance environment. 

This is an on-site role based out of our New York City office, five days a week.

Key Responsibilities 

• Deliver high-quality technical support to users across Windows, macOS, and mobile platforms (iOS). 
• Provide prompt troubleshooting and resolution of hardware, software, network, and market data issues. 
• Manage user onboarding/offboarding, permissions, and account administration. 
• Support audio/visual systems and conferencing technologies (Zoom, Teams, Cisco). 
• Assist with mobile device configuration and management through Intune or similar platforms. 
• Support virtual desktop infrastructure (VDI) environments to enable secure and flexible remote access. 
• Utilize an IT Service Management (ITSM) platform to log, track, and resolve support requests. 
• Document solutions and maintain IT knowledge bases for recurring issues and procedures. 
• Identify opportunities for automation and workflow improvement to enhance efficiency. 
• Provide after-hours and weekend on-call coverage as part of a support rotation. 

Qualifications 

• 2+ years of IT support experience in the financial services industry. 
• Bachelor's degree in computer science, Information Technology, or related field. 
• Strong troubleshooting, communication, and prioritization skills. 
• Experience supporting enterprise desktop environments, including Windows 11, and Office 365. 
• Knowledge of identity and access management systems, user management, and security group administration. 
• Experience with endpoint management, software deployment concepts, and packaging. 
• Understanding of basic networking concepts (LAN/WAN, VPN, DNS, DHCP). 
• Familiarity with cloud-based collaboration platforms (Microsoft 365, SharePoint, OneDrive). 
• Working knowledge of AV setups and remote conferencing technologies. (e.g. Zoom) 
• Ability to work independently, manage priorities, and maintain attention to detail in a fast-paced environment. 
• Comfortable interfacing directly with traders, executives, and analysts to provide professional, high-touch support. 

What We Value 

• Clear communication: You build trust through empathy, clarity, and accountability. 
• Proactive mindset: You anticipate issues and improve systems before problems arise. 
• Ownership: You take initiative and follow through until issue is resolved. 
• Growth orientation: You stay curious, learn continuously, and adapt quickly to new tools and technologies. 

The base salary for this role is anticipated to be $100,000–$130,000, excluding potential bonuses, additional compensation, and benefits. Actual compensation will depend on various factors including skills, experience, and qualifications. 

About EG 
Engineers Gate (EG) is a leading investment manager founded in 2014 as a quantitative, computer-driven trading firm. Today, EG operates as a diversified, multi-strategy investment platform that combines systematic research with selective discretionary approaches. 
 
EG's multi-manager platform allows independent investment teams to pursue distinct strategies while benefiting from shared infrastructure, risk management, and operational support. The firm’s collaborative groups of researchers, engineers, and investment professionals deploy sophisticated statistical models, proprietary technology, and a centralized data platform to isolate and solve challenging problem sets in the global financial markets.  

About The Role 
We are seeking a Network Engineer to help lead network projects at the firm. Reporting into the Systems Infrastructure Team, this individual will serve as a primary driver of network engineering initiatives including counterparty integrations, new office buildouts, and ongoing network projects. 

This role is designed for an experienced, collaborative professional looking for a growth opportunity. While network engineering will be the initial focus, the breadth of responsibilities is expected to expand over time. 

This is an on-site role based out of our New York City office, five days a week.

Key Responsibilities 

• Lead network projects at the firm, including counterparty integrations, new office buildouts, and ongoing network initiatives 
• Design, implement, operate, and support network infrastructure across all layers of the environment 
• Manage routing, switching, and firewall systems 
• Support and expand cloud networking capabilities, particularly within AWS 
• Develop and maintain scripting and automation solutions to improve operational efficiency 
• Enforce and evolve network security best practices and controls 
• Collaborate cross-functionally with other infrastructure team members on shared projects and priorities 

Required Skills, Qualifications and Experience 

• Bachelor's degree in Computer Science, Electrical Engineering, or a related field 
• 5–10 years of experience in a network and/or network security role 
• Strong expertise in traditional networking — routing, switching, and firewall systems 
• Proficiency in scripting and/or programming (Python, Bash, PowerShell, or similar) 
• Working knowledge of security best practices and controls 
• Superb communication and strong project management skills 
• Ability to learn new platforms and technologies quickly 
• Familiarity with public cloud environments, particularly AWS 
• Financial industry experience helpful, but not required 

The base salary for this role is anticipated to be $200,000–$250,000, excluding potential bonuses, additional compensation, and benefits. Actual compensation will depend on various factors including skills, experience, and qualifications. 

ABOUT THE ROLE

The Senior Manager, Supply Chain Strategy is responsible for leading optimization projects to solve cross-functional supply chain challenges.  Projects range from short multi-week sprints impacting a small team to long-term global cross-functional projects impacting multiple departments (E.g., sourcing, manufacturing, middle mile, final mile, transportation, international). You will play a key role in deciding Peloton’s future network, ensuring effective deployment of new capabilities, and in the planning and execution of efficient supply chain strategies. 

Peloton is a fast-paced, innovative, and metric-driven company with a team that is passionate about delighting our members. Within the Supply Chain organization we are passionate about optimizing our cost structure and ensuring a fabulous member experience.

YOUR DAILY IMPACT AT PELOTON

• Build relationships across internal teams as well as peer functions.  Partner with Data Science, Warehousing and Transportation, Planning, Member Support, Enterprise Tech, and Finance to identify and advocate improvement opportunities  
• Optimize the end-to-end global network strategy from manufacturing to Middle Mile Distribution Centers to Final Mile to minimize cost while delivering the best member experience possible
• Build analyses and business cases, execute key activities, resolve risks / issues, document key assumptions, provide leadership updates; identify cross-functional impacts and serve as the single point of truth
• Develop mechanisms to track savings, cost and service metrics impacted by these projects

YOU BRING TO PELOTON

• 6+ years experience in analytical/operational or consulting roles supporting Operations and Supply Chain teams
• OR Advanced degree in business administration, supply chain management, or related field
• Proven track record of designing, implementing, and supporting supply chain network optimization, transportation optimization, inventory optimization, or simulation projects
• Experience conducting quantitative and qualitative financial analysis
• Clear communicator with keen ability to present findings in succinct presentations; experience with executive communications
• Extremely organized and detail-oriented - ability to keep track of project impacting details and manage multiple, simultaneous programs with competing priorities 
• Strong quantitative, analytical and critical thinking skills with demonstrated use of data analysis and metrics to drive decision making
• Experience in data analytics tools a plus (SQL, Looker, Python)
• Experience with network optimization tools
• Ability to travel up to 25% of the time

#LI-CG1
#LI-Remote

The Property Manager leads all aspects of a single asset or portfolio of commercial, industrial, and/or retail properties and coordinates all marketing, operations, and financial activities per client and/or company requirements.

Essential Duties and Responsibilities:

• Ensure that services are provided consistent with policies, procedures, and regulations as well as contractual obligations and standards.
• Coordinate and lead daily and long-term activities of the team; establish work schedules, assign tasks, and cross-train staff; establish and track deadlines to meet client and company objectives; elevate team performance through subject matter expertise and suggestions to improve systems, processes, and procedures; provide formal coaching, mentoring, supervision, and guidance; recruit and hire new team members; monitor training and development of staff; develop and deliver performance reviews.
• Direct, review, and approve vendor invoice payments and other accounting related activities following the terms of the management agreement, LPC policies, and property management approval authorization limits.
• Direct and control preparation, and delivery, of timely, accurate, and insightful monthly reports as well as annual operating and capital budgets; prepare and submit tenant rent and Common Area Maintenance (CAM) or Escalation (OpX) recovery charges to client.
• Maintain oversight of contracted terms that impact the financial performance of the asset/company; report on expirations, covenants, restrictions, and other encumbrances that drive decision making and asset value.
• Coordinate all lease administration activities with lease administrator and accounting; review all lease set ups, lease changes, reporting, etc. and provide final approval.
• Coordinate tenant move-ins and move-outs, and "walk-through" spaces with tenants and tenant improvement department; maintain vacant spaces in "tour ready" condition; ensure teams assigned to tenant onboarding activities properly document and communicate with tenants timely and appropriately; follow up with tenants to ensure a successful transition.
• Respond to tenant needs, ensuring that administrative and building technical staff resolve problems promptly; craft, deliver, and communicate an effective tenant care program that maximizes tenant retention.
• Direct sourcing and procurement activities to effect optimal operations; deliver detailed bid analysis and recommendations to clients that drive value; manage quality of vendor service delivery to ensure contract compliance and desired value.
• Proactively collect rent and other charges in accordance with lease terms and report status of AR to client(s) with recommendations for action; prepare client approved standard legal notices.
• Ensure that at least monthly property inspections are performed; recommend and/or approve alterations, maintenance, and reconditioning.; contract for, and coordinate, vendors.
• Document plans and preparations for emergency response; ensure resources, supplies, and backups are in place to effectively recover from adverse events; coordinate drills and other required training.
• Act as primary contact with property owners, serving as Owner Representative to ensure objectives are being met.
• Perform other duties as assigned.

Qualifications:

• Bachelor's degree (BA/BS) preferred; minimum of 3-5 years of related experience and/or training; or a combination of education and experience; experience with commercial office, retail, and/or industrial properties is highly preferred
• Real Estate License required where mandatory by local regulation; CPM or RPA professional designation or candidacy preferred
• Intermediate to advanced skills with Microsoft Office Suite, including Microsoft Excel required; knowledge of Yardi or MRI and Kardin preferred
• Excellent written and verbal communication skills; ability to clearly and effectively convey complex topics with a positive tone to achieve operational and relationship objectives
• Advanced knowledge of financial terms and principles required; ability to forecast outcomes, prepare budgets with long-term capital plans, and deliver insightful variance reports; ability to prepare or draft recommendations for cost/benefit propositions, ROI analysis, and other business proposals
• Strong organizational skills that deliver timely results and influence team productivity
• Ability to comprehend, analyze, and interpret complex documents and problems involving several options; advanced analytical and quantitative skills required
• Fundamental leadership experience or significant collaborative contributions within a high functioning team
• Proven track record for delivering excellent internal and external customer service; ability to successfully interact/communicate with tenants/vendors/contractors as well as teammates and leadership team
• Strong organizational skills with an inquisitive and entrepreneurial mindset
• Ability to travel daily to assigned properties as necessary
• Ability to work after hours, weekends, holidays, and during emergency situations to meet the needs of the client
• Ability to read and write English in order to understand manuals and procedures, and to write reports

Physical Requirements:

Ability to sit/stand/walk for long periods of time; manual dexterity to operate a computer keyboard, phone, and other office equipment; eyesight that allows for reading a computer screen, phone screen, reports, etc.; hearing that allows for hearing/understanding spoken words; lifting and carrying up to 20 lbs.  NOTE: Some, but not all, of our positions may have an additional requirement to comply with COVID-19 health and safety protocols, including COVID-19 vaccination proof and/or rigorous testing.

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed above are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 

This position is 100% in-office. The role requires working in office during standard business hours. Remote work or telecommuting is not an option for this position.

About the team + role

We are looking for an intellectually curious and enthusiastic individual to help the organization prepare for continued rapid growth by having a good understanding of the impact of the financial markets and risks on Robinhood. This role is responsible for monitoring corporate liquidity risks and investments, developing financial risk models, forecasting key balance sheet items and providing deep dive analysis into financial market drivers of the business.

This role suits those with a bias towards action and impact, who believe in end to end execution and accountability. You are the perfect mix of analytical, technical, operational, and creative. You are a clear, confident communicator who loves taking a complicated problem, decomposing it, and building data driven models, then turning those models into processes and reports. 

What you’ll do

• Monitor and report on financial risks across the firm on a daily basis, ensuring timely escalation of material exposures
• Conduct deep-dive quantitative analyses into liquidity risks emerging across the Robinhood ecosystem   
• Enhance and maintain liquidity risk models and forecasting frameworks to support proactive risk management
• Partner with Data Science and Engineering teams to design and deliver dashboards, automated alerts, and data pipelines that surface capital, liquidity, and counterparty credit risks for the Treasury function
• Collaborate with Finance and Product teams to assess emerging risks associated with new products and business initiatives

What you bring

• Bachelor's degree in mathematics, computer science, engineering or a related field.
• 1–3 years of experience in data analytics, risk management, or a comparable analytical role
• Strong quantitative and problem-solving skills, with the ability to communicate complex findings clearly to non-technical stakeholder
• Solid grounding in financial risk methodologies including Value-at-Risk, stress testing, scenario analysis, and attribution modeling
• Understanding of macroeconomics, financial markets, financial instruments, trading strategies, and investment theory
• Advanced proficiency in SQL and Python
• Ability to build and own process from the ground up
• Demonstrated ability to design and own end-to-end processes in ambiguous, fast-moving environments

Bonus points:

• Advanced graduate degree such as an MFE or in a similar technical field preferred.
• Experience developing and deploying production-grade financial models in Python or R
• Familiarity with sophisticated financial instruments including derivatives, futures, leveraged products, and digital assets
• Experience with time series modeling and regression techniques
• Hands-on experience with AI/ML tooling and business intelligence platforms such as Superset or Looker
• Working knowledge of ETL pipelines and workflow orchestration tools such as Airflow

ABOUT AUDAX PRIVATE DEBT

Based in New York, Audax Private Debt is a leading debt capital partner for North American middle market companies. Since its inception in 2000, the firm has invested $50 billion in support of over 290 private equity sponsors. Audax Private Debt works collaboratively to build tailored financing solutions for its clients through a comprehensive range of offerings that includes first lien, stretch senior, unitranche, second lien, and subordinated debt, as well as equity co-investments. Audax Private Debt is an experienced and trusted partner with senior leadership averaging more than 26 years in private credit and 15 years working together at the firm through multiple economic cycles. For more information, please visit audaxprivatedebt.com or follow us on LinkedIn.

POSITION SUMMARY:

Audax Group is seeking an Investor Operations Co-op Coordinator to contribute to a high-performing team.  The firm’s Investor Operations effort has a high degree of responsibility and corresponding visibility externally with limited partners and internally with senior management.  The Investor Operations Coordinator will handle outbound communications to investors as well as a variety of inbound inquiries specifically related to Audax Private Debt.  The role requires the ability to prioritize multiple assigned tasks and deliverables in a deadline-oriented environment.  Successful candidates are creative problem-solvers and self-starters who have the proven ability to produce results.  Attention to detail, strong interpersonal skills, quantitative and qualitative reasoning ability, and a rigorous work ethic are prerequisites.

RESPONSIBILITIES:

• Maintain CRM data quality through routine review of investor data and assist with data backfills when needed.
• Support downstream internal and external custodian investor reporting by coordinating inputs, performing quality checks, and helping ensure timely, accurate delivery.
• Assist with ad hoc anti-money laundering screening, escalating as needed, and documenting outcomes per internal procedures.
• Maintain the DDQ/RFP library by updating/organizing categorization to standard responses, and ensuring version control along with content consistency.
• Monitor vendor and platform invoicing to payment completion and establishing a calendar of deliverables.
• Assist with new product onboarding by tracking required steps, coordinating stakeholder reviews, and maintaining documentation.
• Monitor news and research licenses by tracking renewals and entitlement to keep access current.
• Support fundraising industry news deliverables by gathering articles and compiling materials for data input.
• Cross training to provide overflow support for investor onboarding, correspondence merging, monthly/quarterly reporting, and ad hoc requests received.
• Complete special projects as assigned.

REQUIREMENTS/QUALIFICATIONS:

• Currently enrolled in a BS/BA program
• 0-2 years of previous administrative experience
• Previous finance industry or operations experience preferred
• Strong organizational skills, extremely detail oriented
• Self-starter with the willingness to learn.
• Ability to multitask and prioritize workload in an environment of tight deadlines and high quality standards.
• MUST be team oriented and able to operate autonomously and collaboratively
• Excellent verbal and written communication skills and a professional, proactive attitude
• Ability to handle confidential and sensitive information with appropriate discretion
• Proficiency with Microsoft Office: Word, Excel, PowerPoint, Outlook
• Knowledge of private debt or private equity industries, CRM databases (Dynamo, Salesforce) or alternative investment databases (Preqin, eVestment), is a plus
•  

Location: New York, NY.

This is a Hybrid position: 4 days/week in the office.

Date: July 2026 – December 2026

LOCATION:

New York, New York.  Hybrid, 4 days/week in office. These in office requirements may change based on the needs of the business.

For New York City only: The hourly range for this position is $23 - $28 per hour. The hourly range represents the estimated low and high end for this position at the time of this posting. Consistent with applicable law, compensation may vary and will be determined based on but not limited to, the skills, qualifications, and experience of the applicant along with the requirements of the position, and Audax reserves the right to modify this pay range at any time. An employee may also be eligible for annual discretionary incentive compensation based on performance. 

Audax offers a wide range of employee benefits, including health insurance, life insurance, disability insurance, paid time off (including sick leave, parental leave, volunteer leave, and vacation), charitable donation match, family support services (including Bright Horizons and Benefit Advocate Center), and a 401(k) in addition to other benefits.

As a Senior Analyst, Analytics engineering, you’ll enable our analytics community to get the most out of our data. You’ll support analysts of varying levels of scope and experience by building, maintaining, and governing a data warehouse of operational and financial data.

You’ll keep us on the cutting edge of AI-driven analytics by partnering with Data Ops to develop a semantic layer and various agents to facilitate faster, better, and more interpretable insights.

We're seeking someone based near one of the following cities: San Francisco, Salt Lake City, Chicago, or New York City.

RESPONSIBILITIES

• Develop and maintain data models in Snowflake with dbt
• Design and build a testing and alerting framework to improve data quality
• Create data governance/democratization policies to support the broader analyst community
• Design and build a self-service analytics AI framework, including both the semantic modeling and tooling architecture

Partner with Data Engineering to optimize data staging in Snowflake

QUALIFICATIONS 

• 4+ years of experience in data engineering, analytics, or data science
• A bachelor’s degree in Computer Science, Information Systems, Statistics, or another quantitative field
• Advanced SQL knowledge (experience with dbt is a plus)
• Moderate Python knowledge (JavaScript knowledge is a plus)
• Experience building complex data pipelines using engineering best practices in platforms like Airflow or Prefect

Strong organizational discipline and quality assurance skills

PERKS & BENEFITS 

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

The annual salary hiring range for this position is $120,000 - $145,000 USD. 

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

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

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

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

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

#LI-NK1

About Nabis

Nabis is the #1 licensed cannabis wholesale platform in the world, supplying $1B+ worth of cannabis products annually from hundreds of brands to retailers across California, New York, and Nevada. Our mission is to empower the world to discover cannabis by providing choice, access, and innovation.Through modern, scalable infrastructure, our mission is to empower the world to discover cannabis by providing choice, access, and innovation.

We’re at the forefront of this movement, building an innovative, technology-first platform to scale the entire cannabis industry. Backed by Y Combinator and investors, including DoorDash Co-Founder Stanley Tang, NFL Hall of Famer Joe Montana, Gmail creator Paul Buchheit, and Twitch co-founder Justin Kan, Nabis is rapidly expanding across the U.S. with the goal of becoming the largest and most influential cannabis distribution network globally.

About the Role

Nabis is seeking a reliable and motivated Operations Manager to support our downstate New York hub. This individual will be highly organized, demonstrate excellent interpersonal skills, and be motivated to take ownership of their site’s accuracy and efficiency. This role is full-time and may at times include demanding hours. This position requires prior supervisor or manager-level experience in warehouse and/or distribution logistics.

The Operations Manager will report to the New York Operations Manager and will be responsible for maintaining a complete understanding of Nabis’s central warehouse processes and the nuances of enterprise client relationships. The Operations Manager will organize, oversee, and strategize the daily site operations while working closely with other Nabis hubs. They will work cross-functionally to support the streamlining of all new & existing processes. The ideal candidate will thrive in an environment of intense pressure, short deadlines, and ever-changing requirements.

Responsibilities:

• Work holistically with the New York GM, Operations Manager, Supervisors, and Associates to ensure the timely and accurate transportation and movement of all inbound/outbound activities within the warehouse
• Track daily team performance and provide feedback and training to associates as needed
• Track and manage daily volume to ensure no disruption in SLA compliance
• Manage and make progress on all market OKRs and KPIs specifically around DOTIF, quality of service, inventory, and provide a best in class experience to our brand and retail partners
• Monitor and track team’s adherence to standard operating procedures (SOP)
• Forecast and monitor staffing needs and schedules of department associates
• Collaborate with all departments (including Central Ops, Engineering, Finance, and People) to ensure regular and productive cross-department communication
• Provide timely and professional communication to support other Nabis departments and external partner relationships
• Ensure compliance with all state and federal regulations regarding cannabis distribution, including inventory tracking and reporting
• Manage relationships with vendors and other supply chain partners
• Lead continuous improvement initiatives, leveraging technology and data analytics to enhance operational efficiency and customer satisfaction

Desired Skills & Qualifications:

• High empathy, excellent communication skills, and an interest in working directly with a wide array of people
• Superior time management and organization
• Tenacity and adaptability to navigate the evolving demands of working at a high-growth startup
• High EQ, low ego, and a willingness to do everything, including manual labor
• Delegation and project follow-up
• Meticulous and detail-oriented
• 2+ years of experience within a warehouse or logistics setting
• 2+ years of experience managing a team of at least 30+ employees
• Adaptability and flexibility
• Familiarity with MS Office and various business software (e.g., ERP, CRM)
• Monday -- Friday on-site work availability 
• Experience in the Cannabis industry preferred
• Supply chain / data analysis training or the equivalent work experience
• Project management and quantitative analysis expertise

Compensation & Benefits:

• You'll work at the fastest-growing cannabis startup in the U.S.
• Medical/Dental/Vision offered to all full-time employees: 75% of employee premium paid by Nabis
• Competitive salary at $70k - $80k depending on experience along with 401k

Nabis is an Equal Opportunity Employer

Nabis is seeking to create a diverse work environment because all teams are stronger with different perspectives and life experiences. We strongly encourage women, people of color, LGBTQIA individuals, people with disabilities, members of ethnic minorities, foreign-born residents, older members of society, and others from minority groups and diverse backgrounds to apply. We do not discriminate on the basis of race, gender, religion, color, national origin, sexual orientation, age, marital status, veteran status, or disability status. All employees and contractors of Nabis are responsible for maintaining a work culture free from discrimination and harassment by treating others with kindness and respect.

Come work with us:

Metropolitan Commercial Bank (the “Bank”) is a full-service commercial bank based in New York City. The Bank provides a broad range of business, commercial, and personal banking products and services to individuals, small businesses, private and public middle-market and corporate enterprises and institutions, municipalities, and local government entities.

Metropolitan Commercial Bank was named one of Newsweek’s Best Regional Banks and Credit Unions 2024. The Bank was ranked by Independent Community Bankers of America among the top ten successful loan producers for 2023 by loan category and asset size for commercial banks with more than $1 billion in assets. Kroll affirmed a BBB+ (investment grade) deposit rating on January 25, 2024. For the fourth time, MCB has earned a place in the Piper Sandler Bank Sm-All Stars Class of 2024.

Metropolitan Commercial Bank operates banking centers and private client offices in Manhattan, Boro Park, Brooklyn and Great Neck on Long Island in New York State.

The Bank is a New York State chartered commercial bank, a member of the Federal Reserve System and the Federal Deposit Insurance Corporation, and an equal housing lender. The parent company of Metropolitan Commercial Bank is Metropolitan Bank Holding Corp. (NYSE: MCB).

Position Summary:

The Vice President AI Model Validation with extensive big-bank experience, strong technical expertise, and proven capabilities in model risk management, risk reporting, and large-scale data management, will be responsible for developing, maintaining, and enhancing the Bank’s Model Risk Management framework in compliance with regulatory guidance (e.g., SR 11-7). This individual will be well-versed in regulatory requirements, model governance frameworks, and secure data practices, enabling a more resilient, compliant, and value-added risk management function.  The VP AI Model Validation will oversee the governance, validation, monitoring, and reporting of models used across the Bank—including BSA/AML, Credit, CECL, ALM, Capital planning, Stress testing, liquidity, and other decision-support models.

The ideal candidate will combine strong quantitative skills with practical banking experience, expertise in data quality and visualization, and the ability to clearly communicate technical model risk findings to senior management, regulators, and business stakeholders.  The knowledge and ability to conduct thorough model validations and reviews is a critical responsibility for this position. 

The successful candidate for this role will be a proactive and analytical individual with a solid understanding of risk management principles, excellent communication skills, and the ability to work collaboratively in a dynamic environment. This role reports to the Director of Model Risk & Risk Reporting and will be based in New York City.

We have a flexible work schedule where employees can work from home one day a week.

Essential duties and responsibilities:

Governance and Policy Compliance:

• Support and enhance the Bank’s Model Risk Management policy, procedures, and control framework.
• Maintain a comprehensive model inventory, ensuring accuracy, completeness, and appropriate model tiering.
• Oversee and lead model lifecycle governance, including development, implementation, use, monitoring, and retirement.
• Ensure full compliance with SR 11-7, CECL, and other regulatory guidance.

 Model Validation & Review

• Conduct independent validations of models, including BSA/AML, CECL/ALLL, Credit, ALM, stress testing, market risk, and liquidity models.
• Assess conceptual soundness, input data integrity, methodology, and performance monitoring.
• Challenge assumptions, limitations, and use cases of models, and provide recommendations for remediation.
• Document validation results and present findings to senior management, committees, and regulators.

Data Governance & Reporting

• Design and implement data quality processes to support reliable model inputs and outputs, and data used across MRM reporting.
• Establish controls for data accuracy, completeness, timeliness, and reconciliation across model datasets.
• Develop Power BI dashboards and automated reports to track model performance, issues, and usage.
• Support regulatory and management reporting through clear, visual, and actionable insights.

Monitoring & Issue Management

• Execute ongoing model performance monitoring plans, including back-testing and benchmarking.
• Track and manage model risk issues, findings, and remediation efforts.
• Provide regular reporting on model risk metrics, emerging trends, and validation progress.

Stakeholder Engagement

• Partner with business units, finance, risk, audit, and IT to ensure models meet business and regulatory needs.
• Provide training and guidance to model owners and users on governance and data quality requirements.
• Support Internal Audit and regulatory examinations related to model risk.

 Continuous Improvement:

• Continuously review and enhance risk management processes, tools, and methodologies to adapt to evolving business environments and emerging risks.
• Provide training and guidance to employees on risk management with the best practices and procedures.
• Seek opportunities to leverage technology solutions for improving Enterprise Risk Management practices.
• Other Duties as Assigned

Required knowledge, skills and experience:

• Master’s degree in Finance, Economics, Statistics, Mathematics, Data Science, or related field (PhD or CFA/FRM preferred).
• 8+ years of relevant experience in model risk management, validation, or quantitative risk within a bank or consulting firm.
• Knowledge of banking regulations and regulatory frameworks, including but not limited to Basel III, Dodd-Frank Act, BSA/AML, and consumer protection laws. Knowledge of requirements for banks exceeding the $10 billion asset threshold.
• Experience with CECL, ALM, stress testing, and other regulatory/decision-support models.
• Strong knowledge of data quality frameworks and their application in risk management.
• Knowledge of Federal Reserve, New York State Department of Financial Services and Consumer Financial Protection Bureau rules and regulations.
• Strong analytical skills with the ability to interpret emerging risks and issues, and trends in Key Risk Indicator data in order to escalate any negative trends to senior management.
• Proficiency in statistical/programming tools (Python, R, SAS, SQL, MATLAB).
• Strong skills in Power BI (reporting, dashboards, DAX, data modeling).
• Experience in data governance, lineage, and data quality assessment.
• Detail-oriented and organized, with the ability to manage multiple priorities and deadlines in a fast-paced environment.
• Sound judgment and decision-making skills, with the ability to balance regulatory requirements with business objectives and risk considerations.

Potential Salary: $200,000- $230,000 annually

This salary range reflects base wages and does not include benefits, bonus, or incentive pay. Salary bands are purposefully wide ranging to encompass the different factors considered in determining where a candidate falls in the range, including but not limited to, seniority, performance, experience, education, and any other legitimate, non-discriminatory factor permitted by law. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed here.

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

This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Scale is a vital part of bringing AI-enabled technologies to the world, from autonomous driving to drones, robots, and large language models. For example, Scale works with the world's top self-driving car and robotics ML teams as well as the largest companies in the generative AI space. 

As our customer base is growing, you will be on the front lines of our field engineering efforts for our federal AI projects, having the opportunity to meaningfully impact millions of dollars in revenue by working closely with our largest public sector customers and ensuring that they become passionate, lifelong Scale customers.

Our Field Engineers ensure customers' experiences with Scale's technology are seamless and optimized to build a successful, long-term partnership. Field Engineers partner closely with Product, Engineering, and Operations to lead existing customers through building production-grade data pipelines. We do this by knowing our customer’s use-cases inside and out, and creating the tooling and documentation needed to scalably support their growth.

Field Engineers in general are experts on Scale's products and codebase, and have general technical knowledge on web development, using APIs, and working with large volumes of data. Field Engineers are strong relationship builders, great project managers, and always fun to work with. 

The ideal person is a software engineer generalist who enjoys working with clients directly, taking ambiguous requirements and issues, and quickly designing and building sustainable solutions in close collaboration with the Product and Engineering teams. This role is at the intersection of customer delivery, product, and engineering, giving you a breadth of experience and fully leveraging both sides of your brain. If this sounds like you, we invite you to apply!

You will:

• Implement end-to-end data integrations, syncing customer’s data to Scale’s platform and back
• Work closely with our customer’s engineering teams to optimize data pipelines, including providing input towards designing API endpoints and input/output schemas
• Design, develop and maintain playbooks, internal tools, Scale’s documentation and SDKs to quickly get customers set up for long-term success
• Partner with Software Engineers and Operations to remove any technical hurdles customers may face / Debug technical issues impacting delivery and own technical escalations coming from the customer
• Be accountable for the customer’s technical experience throughout their time with Scale
• Work with AEs and PMs to identify customer-specific feature requests
• Develop technical domain expertise in areas of Large Language Models, 2D Image Annotation, and working with API integrations
• Evangelize Scale and interact with customers at major events
• Have an active TS/SCI clearance

Ideally you'd have:

• Track record of success as a hybrid customer-facing engineer or similar function, wearing multiple hats along the way
• Prior technical hands-on experience working with clients in a pre or post-sales capacity to realize business goals
• Prior experience developing with Python and JavaScript, or other modern software languages
• Strong engineering background preferably in Computer Science, Mathematics, or other quantitative fields
• Strong project management and interpersonal skills
• Presentation skills with a high degree of technical credibility when speaking with executives and front-line engineers
• High level of comfort communicating effectively across internal and external organizations
• Intellectual curiosity, empathy, and ability to operate with high velocity

Nice to haves:

• Experience in AI
• Experience working in classified environments
• Previous experience as a technical go-to-market resource
• Understanding of DevSecOps principles, including secure software delivery, infrastructure as code, and continuous integration/deployment
• Hands-on knowledge of container orchestration with Kubernetes and experience with Helm charts for application deployment
• Experience automating infrastructure and configuration management using Ansible or similar tools

Scale AI builds the data infrastructure that powers the world’s most advanced AI. We are the trusted data partner behind frontier model makers and enterprise AI teams — providing the high-quality training data, evaluation frameworks, and human-feedback systems that make models smarter, safer, and more capable.

Scale operates as a two-sided marketplace. On the demand side, our customers — leading AI labs and enterprises — need precisely labeled, expert-curated data to train and evaluate their models. On the supply side, we work with a global network of 500,000+ skilled contributors across 100+ countries who perform the complex annotation, evaluation, and data-generation tasks that fuel AI progress. Product Managers at Scale sit at the intersection of these two sides, shaping the systems, tooling, and experiences that make this marketplace work at unprecedented quality and scale.

We are hiring Product Managers across multiple teams within our GenAI organization. These roles span both demand-side products (the tools and platforms our customers interact with) and supply-side products (the systems that power our contributor ecosystem). Each role offers the opportunity to work on high-impact, technically complex problems at the frontier of AI — with dedicated engineering, design, and data science teams.

About the Role

• Scale’s GenAI platform is how the world’s leading AI companies — from frontier model labs to Fortune 500 enterprises — create the training data that makes their models best-in-class. As a PM here, you are building the systems that directly shape AI model quality.
• These roles are deeply cross-functional. You will work with dedicated engineering, design, and data science teams, as well as operations, finance, growth, and customer-facing stakeholders. The problems are technically complex, the pace is fast, and the impact is measurable.
• Whether you are on the demand side (shaping the products customers use to create and evaluate training data) or the supply side (building the systems that power our global contributor marketplace), you will own your product area end-to-end — from strategy to execution to instrumentation.
• Scale is a growth-stage company with the resources of a well-funded leader and the urgency of a startup. PMs here operate with significant autonomy, ship frequently, and are expected to be deeply analytical and hands-on.

Example Product Management Openings:

Task UX (Demand Side) — Own the end-to-end tasking product. You will define how tasks are designed, how contributors interact with multi-turn chat interfaces, and how in-task quality is measured and enforced across diverse conversational modalities. This is a critical surface area for training the next generation of models.

Multi-Dimensional Quality (Demand Side) — Own Scale’s MDQ measurement framework, the CoPilot assisted-annotation experience, and our data pipeline connectivity layer. You will drive the core data quality infrastructure that customers depend on — defining how quality is decomposed, measured, and surfaced, while building AI-assisted tooling that helps contributors produce higher-quality outputs faster.

Pay & Incentives (Supply Side) — This PM owns the payment and incentive systems that serve Scale’s global contributor base. You will ensure 500,000+ contributors across 100+ countries are paid accurately and on time, set pay rates methodically by skill and geography, and design incentive structures that balance cost efficiency, data quality, and contributor satisfaction. This role sits at the intersection of marketplace economics, global payments operations, and contributor experience.

You Will

• Set the product strategy and roadmap for your area, grounded in customer needs, data analysis, and business impact
• Develop and execute a data-driven product roadmap through close collaboration with senior leadership, engineering, operations, data science, analytics, and design
• Translate customer and internal-user needs into clear, well-defined functional and technical requirements backed by data analysis and deep understanding of your users
• Guide and interface closely with engineering and data teams to define scope, review and refine technical capabilities, prioritize projects for release, and identify new opportunities
• Build long-term instrumentation, monitoring, and evaluation capabilities for product performance tracking and insight generation
• Establish business cases and projected return on investment to identify and prioritize opportunities
• Partner with finance and business leaders to manage impact on the profitability and growth of the overall business
• Communicate product vision, strategy, and progress to executive stakeholders and cross-functional partners

Ideally, You’d Have

• 4–10 years of experience in Product Management in the tech industry, with scope appropriate to level (L4: 4–6 yrs, L5: 6–8 yrs, L6: 8–10+ yrs)
• Strong business acumen and analytical rigor, with demonstrated success driving products in ambiguous, high-growth environments
• Experience translating complex technical systems into clear product strategies — comfort engaging deeply with engineering and data science teams
• Excellent communication and stakeholder management skills, capable of influencing across technical and non-technical audiences
• Experience building products from the ground up and iterating through the scaling journey of a business
• Bachelor’s or advanced degree in a quantitative, engineering, or related discipline

Nice to Have:

• Experience in AI/ML, data infrastructure, or marketplace businesses
• Strong understanding of the AI landscape — model training workflows, data labeling, evaluation, and deployment
• Experience with global payment systems, contributor/gig-economy platforms, or trust & safety domains  
• Experience working at high-growth startups or scaling consumer/enterprise platforms

At Scale AI, we help leading enterprises turn AI from a promising capability into reliable systems that improve real workflows and deliver measurable business value. We are hiring a Senior Forward Deployed Data Scientist / Engineer to work directly with customers on ambiguous, high-impact problems at the intersection of data science, product development, and AI deployment.

This is not a traditional analytics role. On this team, data scientists do the core statistical and modeling work, but they also build real tools and products: evaluation explorers, operator workflows, decision-support systems, experimentation surfaces, and customer-specific AI/data applications that get used in production. In many cases, the data scientist builds the first usable version of the solution, proves value quickly, and helps drive it into a durable product or platform capability.

The right candidate is strong in first-principles problem solving, rigorous measurement, and technical execution. They know how to define metrics, design experiments, diagnose failures, and build systems that people actually use. They are also comfortable using modern AI-assisted development tools to prototype and iterate quickly without sacrificing reliability, observability, or judgment. Python and SQL matter in this role, but as execution fluency in service of building better products and making better decisions.

What you’ll do

• Partner directly with enterprise customers to understand workflows, operational pain points, constraints, and success criteria
• Turn ambiguous business and product problems into measurable solutions with clear metrics, technical designs, and deployment plans
• Design and build internal and customer-facing data products, including evaluation tools, workflow applications, decision-support systems, and thin product layers on top of data/ML systems
• Build end-to-end solutions across data ingestion, transformation, experimentation, statistical modeling, deployment, monitoring, and iteration
• Design evaluation frameworks, benchmarks, and feedback loops for ML/LLM systems, human-in-the-loop workflows, and model-assisted operations
• Apply rigorous statistical thinking to experimentation, causal inference, metric design, forecasting, segmentation, diagnostics, and performance measurement
• Use AI-assisted development workflows to accelerate prototyping and product iteration, while maintaining strong engineering discipline
• Diagnose failure modes across data quality, model behavior, retrieval, workflow design, and user experience, and drive fixes into production
• Act as the voice of the customer to Product, Engineering, and Data Science, using field learnings to shape roadmap and platform capabilities

What we’re looking for

• 5+ years of experience in data science, machine learning, quantitative engineering, or another highly analytical technical role
• Proven track record of shipping data, ML, or AI systems that delivered measurable business or product impact
• Exceptional ability to structure ambiguous problems, define the right success metrics, and translate them into executable technical plans
• Strong foundation in statistics, experimentation, causal reasoning, and measurement
• Experience building tools or products, not just analyses — for example internal workflow tools, evaluation systems, operator-facing products, experimentation platforms, or customer-specific applications
• Hands-on fluency in Python, SQL, and modern data/AI tooling; able to inspect data, prototype quickly, debug deeply, and productionize solutions that work
• Comfort using AI-assisted coding and development workflows to move from idea to usable product quickly
• Strong communication and stakeholder management skills; able to work effectively with customers, engineers, product teams, and executives
• High ownership and bias toward shipping in fast-moving environments with incomplete information

Preferred qualifications

• Experience in a forward deployed, solutions, consulting, or other client-facing technical role
• Experience designing evaluation frameworks for LLMs, retrieval systems, agentic workflows, or other AI-enabled products
• Experience with large-scale data processing and distributed systems such as Spark, Ray, or Airflow
• Experience with cloud infrastructure and modern data platforms such as AWS, GCP, Snowflake, or BigQuery
• Experience building lightweight applications, APIs, internal tools, or workflow software on top of data/ML systems
• Familiarity with marketplace experimentation, causal inference, forecasting, optimization, or advanced statistical modeling
• Strong product instinct and the judgment to know when the right answer is a model, an experiment, a tool, or a workflow redesign

What success looks like

Success in this role means taking a messy, high-stakes customer problem and turning it into a deployed system that is actually used. Sometimes that system is a model. Sometimes it is an evaluation framework. Sometimes it is an operator-facing tool or a lightweight data product that changes how decisions get made. In all cases, success is defined by measurable impact, rigorous evaluation, and reliable execution.

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the usage of frontier data and models by building complex agents for enterprises around the world through our Scale Generative Platform (SGP).

The SGP ML team works on the front lines of this AI revolution. We interface directly with clients to build cutting edge products using the arsenal of proprietary research and resources developed at Scale. As an Applied AI Engineer, you’ll work with clients to create ML solutions to satisfy their business needs. Your work will range from building next-generation AI cybersecurity firewalls to creating transformative AI experiences in journalism to applying foundation genomic models making predictions about life-saving drug proteins. Daily data-driven experiments will provide key insights around model strengths and inefficiencies which you’ll use to improve your product’s performance. If you are excited about shaping the future of the modern AI movement, we would love to hear from you!

You will:

• Own, plan, and optimize the AI behind our Enterprise customer’s deepest technical problems
• Leverage SGP to build the most advanced AI agents across the industry including multimodal functionality, tool-calling, and more
• Have experience gathering business requirements and translating them into technical solutions 
• Meet regularly with customer teams onsite and virtually, collaborating cross-functionally with all teams responsible for their data and ML needs
• Push production code in multiple development environments, writing and debugging code directly in both our customer’s and Scale’s codebases.
• Be able and willing to multi-task and learn new technologies quickly

Ideally you'd have:

• 7+ years of full-time engineering experience, post-graduation
• A love for solving deeply complex technical problems with ambiguity using state of the art research and AI to accomplish your client’s business goals
• Strong engineering background: a Bachelor’s degree in Computer Science, Mathematics, or another quantitative field or equivalent strong engineering background.
• Deep familiarity with a data-driven approach when iterating on machine learning models and how changes in datasets can influence model results
• Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment
• Proficiency in Python to write, test and debug code using common libraries (ie numpy, pandas)

Nice to haves:

• Strong knowledge of software engineering best practices
• Have built applications taking advantage of Generative AI in real, production use cases
• Familiarity with state of the art LLMs and their strengths/weaknesses

Scale AI is seeking a highly technical and strategic Staff / Senior Staff Machine Learning Engineer to act as the Tech Lead (TL) for our next generation of deep research agents for the Enterprise. This high-impact role will drive the technical direction and oversight for Deep Research Agent Development, translating cutting-edge research in Generative AI, Large Language Models (LLMs), and Agentic Frameworks into robust, scalable, and high-impact production systems that enhance enterprise operations, analytics, and core efficiency.

The ideal candidate thrives in a fast-paced environment, has a passion for both deep technical work and mentoring, and is capable of setting a long-term technical strategy for a critical domain while maintaining a strong, hands-on delivery focus.

Responsibilities

Technical Leadership & Vision

• Set the Technical Roadmap: Define and own the technical strategy, architecture, and roadmap for Deep Research Agents for the Enterprise, ensuring alignment with Scale AI’s overall AI strategy and business goals.
• Drive Breakthrough Research to Production: Lead the end-to-end development, from initial research to production deployment, to landing on customer impact, with a focus on integrating diverse data modalities.
• Core Agent Capabilities Development:
• Advanced Knowledge Retrieval: Architect and implement state-of-the-art retrieval systems to ensure the agents provide accurate and comprehensive answers from public and proprietary data sources from enterprises.
• Data analysis: Design and champion the development of data analysis agents that accurately translate complex natural language queries into executable SQL/code against diverse enterprise data schemas.
• Multimodal Intelligence: Lead the integration of Multimodal AI capabilities to process and extract structured information from visual documents, tables, and forms, enriching the agent's knowledge base.
• Architecture & Design: Design and champion highly scalable, reliable, and low-latency infrastructure and frameworks for building, orchestrating, and evaluating multi-agent systems at enterprise scale.
• Technical Excellence: Serve as the technical authority for the team, leading design reviews, defining ML engineering best practices, and ensuring code quality, security, and operational excellence for all agent systems.

Team Leadership & Mentorship

• Lead and Mentor: Technically lead and mentor a team of Machine Learning Engineers and Research Scientists, fostering a culture of innovation, rigorous engineering, rapid iteration, and technical depth.
• Recruiting & Growth: Partner with management to hire, onboard, and grow top-tier talent, helping to shape the long-term structure and capabilities of the team.
• Cross-Functional Influence: Collaborate effectively with Product Managers, Data Scientists, and other engineering/science teams to translate ambiguous, high-level business problems into concrete, executable technical specifications and impactful agent solutions.

Basic Qualifications

• Bachelor's degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience.
• 8+ years of experience in software development, with at least 6 years focused on Machine Learning, Deep Learning, or Applied Research in a production environment.
• 2+ years of experience in a formal or informal Technical Leadership role (Team Lead, Tech Lead) with a focus on setting technical direction for a domain.
• Deep expertise in Generative AI and Large Language Models (LLMs).
• Demonstrated experience designing, building, and deploying AI Agents or complex Agentic systems in production at scale.
• Experience with large-scale distributed systems and real-time data processing.

Preferred Qualifications

• Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, or a related quantitative field.
• Demonstrated experience designing and deploying production-grade Text-to-SQL systems, including handling complex schema linking and query optimization.
• Practical experience with Multimodal AI, specifically integrating OCR and vision-language models for document intelligence and structured data extraction from images/forms.
• Proven experience in one or more relevant deep research areas: Reinforcement Learning (RL), Reasoning and Planning, Agentic Systems.
• Experience with vector databases and advanced retrieval techniques.
• A track record of publishing research papers in top-tier ML/AI conferences (e.g., NeurIPS, ICML, ICLR, KDD).
• Excellent written and verbal communication skills, with the ability to articulate complex technical vision to executive stakeholders and technical peers.
• Experience driving cross-team technical initiatives that have delivered significant business impact.

Scale AI operates a global two-sided marketplace. On the demand side, AI labs and enterprises need high-quality training data. On the supply side, 500,000+ contributors across 100+ countries perform the annotation, evaluation, and data-generation work that makes frontier AI possible. For example, our contributor network includes Math PHDs from Vietnam, law professors at top colleges and investment bankers modeling efficient capital structures - all in service of training next-gen AIs. Keeping this marketplace trustworthy and free from fraud is foundational — to contributor experience, to customer data quality, and to the health of the business.

We are looking for a senior Product Manager to lead Trust & Safety at Scale. This is a high-autonomy, high-impact role. You will own the product strategy for fraud detection, prevention, and remediation across our contributor ecosystem — building the systems that protect our platform from abuse while preserving a fair, transparent experience for legitimate contributors. T&S at Scale intersects every part of the contributor lifecycle: onboarding, task assignment, quality assessment, and payments. The scope is global, the adversaries are sophisticated, and the stakes are real.

This role requires deep domain expertise in fraud and trust & safety. You should bring a strong point of view on how to build world-class T&S systems — because you will be the resident expert. You will set the vision for moving T&S from a reactive, fire-fighting posture to a proactive, intelligence-driven function with scalable detection and prevention infrastructure.

About the Role:

• You will be the most senior T&S product leader at Scale, reporting directly to the Head of GenAI Product. You will have dedicated engineering, data science, and operations partners, and will work closely with EPD leadership and Delivery Ops.
• T&S at Scale is not a mature function — it has been built reactively over time in response to specific fraud incidents. The platform needs a cohesive strategy that balances fraud mitigation with contributor growth, reduces false positives, and replaces ad-hoc solutions with scalable systems. You will inherit a patchwork of existing tools, signals and products and shape them into a coherent, defensible platform with mature processes.
• The contributor marketplace creates unique fraud vectors: account farming, task manipulation, quality gaming, payment fraud, and collusion — all evolving as AI capabilities change. You need to stay at the leading edge of adversarial behavior in AI-native marketplaces.
• This is a highly cross-functional role. You will collaborate with stakeholders across Ops, EPD, Finance, and leadership. Fires happen weekly. You need to be the person who navigates complexity and drives resolution efficiently.

You will:

• Set the product vision and strategy for Trust & Safety at Scale, shifting the function from reactive incident response to proactive, intelligence-driven fraud prevention
• Own the product roadmap for fraud detection, prevention, and remediation systems — including the Risk Engine, data signals intelligence, anomaly detection, and contributor investigation tooling
• Build a balanced approach to fraud mitigation and growth protection — ensuring T&S interventions don’t unnecessarily throttle the contributor funnel or create friction for legitimate users
• Investigate and deeply understand contributor behavior patterns to identify emerging fraud vectors before they become material
• Drive cross-functional alignment across Ops, EPD, Finance, and executive leadership — independently handling escalations, stakeholder conflicts, and weekly fire drills without requiring constant HM involvement
• Translate complex fraud patterns into clear product requirements for engineering, and partner with data science to build and improve detection models
• Build long-term instrumentation, monitoring, and evaluation capabilities to measure fraud rates, false positive rates, contributor impact, and financial exposure
• Establish business cases quantifying fraud losses and ROI of prevention investments to secure resources and prioritize effectively
• Partner with Finance and Delivery Ops leadership to manage the financial impact of fraud on business profitability

Ideally, you’d have:

• 8–12 years of experience in Product Management in the tech industry, with at least 3–4 years leading Trust & Safety, Fraud, or Risk product teams
• Deep domain expertise in fraud (not security) — specifically consumer product fraud, marketplace fraud, or contributor/gig-economy fraud. FinTech/payments fraud alone is not sufficient; we need someone who understands platform-level abuse and adversarial user behavior
• Track record of building T&S systems at consumer-facing marketplace companies (e.g., Uber, DoorDash, Airbnb, eBay, Instacart) or similar high-growth platforms with global contributor/user bases
• Proven ability to balance fraud mitigation with growth protection — you’ve made hard tradeoff decisions between blocking bad actors and preserving good UX
• Exceptional stakeholder management skills — you’ve navigated complex orgs with Ops, Engineering, and leadership stakeholders who have competing priorities and strong opinions. You handle escalations, build trust, and drive alignment independently
• Strong analytical capabilities — you can investigate contributor behavior data, define fraud metrics, and build detection logic. High proficiency in SQL
• Experience setting ambitious product vision and executing against it — you’ve moved a function from reactive to proactive
• Bachelor’s or advanced degree in a quantitative, engineering, or related discipline

Nice to Have:

• Experience building T&S systems with global/international coverage across diverse contributor populations
• Understanding of AI-enabled fraud vectors and how adversarial behavior evolves as AI capabilities improve
• Experience with contributor/gig-economy platforms specifically (not just consumer marketplaces)
• Experience working at early-to-growth-stage companies where T&S was being built or rebuilt from scratch

About Us

NLG Capital, the investment management company of NLG, manages approximately $40+ billion in AUM. Our purpose is simple – to allow NLG to keep its promises. How we do this – an obsessive focus on delivering investment results. We drive results through a rigorous but collaborative investment process, and we hold ourselves to the highest of standards, both as investors and teammates. While our process is based on rigor, our culture is based on our guiding principles: Meritocracy, Uncompromising Transparency, Intellectual Honesty, Performance Driven Learning, Relentless Pursuit of Excellence. These principles serve as the foundation of our team.  They govern the way we conduct ourselves, how we interact with teammates and how we approach every investment decision.  We act with the integrity and humility required to make the investment decision that is right for the firm, and ultimately our policyholders.  Our culture has been deliberately built to foster curiosity and provide opportunities to learn and grow, both as people and investors. The flat and collaborative nature of our team promotes an atmosphere where the best ideas are continually expressed and rewarded. Our pursuit of excellence is unwavering.

Please note that we do not offer visa sponsorship for this position.

Role Summary

• The Senior Hedging Trader at NLG Capital is responsible for execution and implementation of the hedging program for the company’s insurance and reinsurance operations. This is a critical role that sits at the intersection of investments, risk management, and actuarial strategy. The position requires deep expertise in hedging and derivative strategies, combined with the ability to play a senior role within the hedging team working with the Head of Hedging and the broader NLG Capital investment team to ensure effective risk management, capital efficiency, and alignment with the firm’s long-term objectives.

Essential Duties and Responsibilities

• Facilitate day-to-day hedging transaction management within the stated goals of the organization, within risk limitations and in conjunction with the broader resources of the organization.
• Monitor and report on hedge effectiveness, including metrics such as value-at-risk, hedge P&L attribution, and capital impacts.
• Partner with investment, actuarial, and finance teams to design and execute hedging strategies for new products, M&A, and reinsurance deals—including FX hedging and inforce risk management.
• Optimize collateral and capital efficiency associated with hedging activities.
• Collaborate with actuaries, distribution partners, and banking counterparties on the development and launch of new FIA and RILA products, including custom and indexed-linked strategies.
• Work with corporate finance and actuarial valuation teams to support projections, capital planning, and stress testing.

Minimum Qualifications

• Proven track record of successfully designing and implementing hedging programs in insurance or reinsurance contexts.
• Broad understanding of life and annuity products, including FIA and RILA.
• Strong ability to communicate complex hedging strategies simply and effectively to diverse stakeholders.
• Experience balancing risk management and capital efficiency objectives.
• Strong technical proficiency, including Microsoft Office (Excel, Word, PowerPoint); experience with quantitative tools preferred.
• Self-motivated with excellent leadership, collaboration, and communication skills.
• Actuarial, quantitative finance, or CFA background preferred but not required.
• This position currently offers an onsite hybrid work schedule, with the expectation that you are in the office four days per week. The work schedule type and core days are subject to change with advance notification and manager discretion.

Preferred Qualifications

• Familiarity with U.S. statutory accounting, GAAP, and actuarial guidelines.
• Experience managing collateral and counterparty relationships.
• Prior leadership of derivatives or hedging teams in an insurance or asset management setting.

Benefits

• Your benefits start day one and are flexible and customizable to your and your family’s specific needs. Check out the BENEFITS of a Career at National Life!

About Us

NLG Capital, the investment management company of NLG, manages approximately $40+ billion in AUM. Our purpose is simple – to allow NLG to keep its promises. How we do this – an obsessive focus on delivering investment results. We drive results through a rigorous but collaborative investment process, and we hold ourselves to the highest of standards, both as investors and teammates. While our process is based on rigor, our culture is based on our guiding principles: Meritocracy, Uncompromising Transparency, Intellectual Honesty, Performance Driven Learning, Relentless Pursuit of Excellence. These principles serve as the foundation of our team.  They govern the way we conduct ourselves, how we interact with teammates and how we approach every investment decision.  We act with the integrity and humility required to make the investment decision that is right for the firm, and ultimately our policyholders.  Our culture has been deliberately built to foster curiosity and provide opportunities to learn and grow, both as people and investors. The flat and collaborative nature of our team promotes an atmosphere where the best ideas are continually expressed and rewarded. Our pursuit of excellence is unwavering.

Please note that we do not offer visa sponsorship for this position.

Position Overview

The Director of RMBS Trading & Residential Credit Investing is responsible for leading residential mortgage-backed securities (RMBS) trading, whole loan trading, and private residential credit investment initiatives. This role oversees portfolio management, sourcing, pricing, structuring, and execution across a broad range of residential credit asset classes. The Director drives relative value analysis, develops proprietary analytical tools, manages junior team members, and partners cross-functionally to deliver attractive risk-adjusted returns.

Key Responsibilities

RMBS Trading & Portfolio Management

• Manage and actively trade multi-sector RMBS portfolio, including agency, non-agency, CRT, NPL/RPL, and other structured credit subsectors.
• Conduct relative value analysis, performance surveillance, and risk monitoring across holdings.
• Source and evaluate market opportunities, maintaining relationships with buy-side and sell-side counterparties.
• Develop and enhance internal pricing models and analytical frameworks to support trading decisions.
• Oversee portfolio analytics, scenario analysis, and performance attribution.
• Build loan-level pricing models incorporating prepayment, default, severity, and rate assumptions.
• Manage and mentor junior team members responsible for modeling and portfolio surveillance.
• Manage acquisition and disposition of whole loan asset classes
• Coordinate transaction execution with legal, transaction management, counterparties, and servicers.
• Prepare and present detailed investment committee memoranda outlining return expectations, risk factors, and sensitivities.

Risk Analytics & Process Development

• Design and implement robust portfolio monitoring and delinquency tracking frameworks.
• Develop expected loss modeling and pricing optimization tools.
• Collaborate with middle and back-office teams to design underwriting and operational processes.

Qualifications

• Bachelor’s degree in Economics, Finance, Mathematics, Statistics, or related quantitative field; strong academic record required.
• 7+ years of experience in RMBS trading, whole loan trading, residential credit investing, structured products, or mortgage analytics.
• Deep knowledge of residential mortgage products, securitization structures, and credit performance drivers.
• Strong financial modeling skills (loan-level cash flow modeling, scenario analysis, yield and spread analysis).
• Experience presenting investments to Investment Committees.
• Demonstrated ability to manage portfolios and drive P&L performance.
• Strong negotiation and cross-functional collaboration skills.
• Prior team leadership or analyst management experience preferred.

Benefits

• Your benefits start day one and are flexible and customizable to your and your family’s specific needs. Check out the BENEFITS of a Career at National Life!

About Us

NLG Capital, the investment management company of NLG, manages approximately $40+ billion in AUM. Our purpose is simple – to allow NLG to keep its promises. How we do this – an obsessive focus on delivering investment results. We drive results through a rigorous but collaborative investment process, and we hold ourselves to the highest of standards, both as investors and teammates. While our process is based on rigor, our culture is based on our guiding principles: Meritocracy, Uncompromising Transparency, Intellectual Honesty, Performance Driven Learning, Relentless Pursuit of Excellence. These principles serve as the foundation of our team.  They govern the way we conduct ourselves, how we interact with teammates and how we approach every investment decision.  We act with the integrity and humility required to make the investment decision that is right for the firm, and ultimately our policyholders.  Our culture has been deliberately built to foster curiosity and provide opportunities to learn and grow, both as people and investors. The flat and collaborative nature of our team promotes an atmosphere where the best ideas are continually expressed and rewarded. Our pursuit of excellence is unwavering.

Please note that we do not offer visa sponsorship for this position.

Role Summary

• The Hedging Leader at NLG Capital is responsible for designing, implementing, and overseeing the hedging framework and activity for the company’s insurance and reinsurance operations. This is a critical leadership role that sits at the intersection of investments, risk management, and actuarial strategy. The position requires deep expertise in hedging and derivative strategies, specifically index and product related design, combined with the ability to lead a team and collaborate across functions to ensure effective risk management, capital efficiency, and alignment with the firm’s long-term objectives.

Essential Duties and Responsibilities

• Develop and implement a scalable hedging program to manage market, interest rate, and option risks across NLG’s insurance companies.
• Oversee day-to-day hedging operations, starting with static hedging programs and evolving toward dynamic overlays as business and asset volumes increase.
• Monitor and report on hedge effectiveness, including metrics such as value-at-risk, hedge P&L attribution, and capital impacts.
• Partner with investment, actuarial, and finance teams to design and execute hedging strategies for new products, M&A, and reinsurance deals—including FX hedging and in force risk management.
• Optimize collateral and capital efficiency associated with hedging activities.
• Build and lead a high-performing team of 2–3 professionals responsible for hedge execution, reporting, and analytics.
• Collaborate with actuaries, distribution partners, and banking counterparties on the development and launch of new FIA and RILA products, including custom and indexed-linked strategies.
• Work with corporate finance and actuarial valuation teams to support projections, capital planning, and stress testing.

Minimum Qualifications

• Proven track record of successfully designing and implementing hedging programs in insurance or reinsurance contexts.
• Broad understanding of life and annuity products, including IUL, FIA, MYGA and RILA.
• Strong ability to communicate complex hedging strategies simply and effectively to diverse stakeholders.
• Experience balancing risk management and capital efficiency objectives.
• Strong technical proficiency, including Microsoft Office (Excel, Word, PowerPoint); experience with quantitative tools preferred.
• Self-motivated with demonstrated excellent leadership, collaboration, and communication skills.
• Actuarial, quantitative finance, or CFA background preferred but not required.
• This position currently offers an onsite hybrid work schedule, with the expectation that you are in the office four days per week during onsite core days. The work schedule type and core days are subject to change with advance notification and manager discretion.

Preferred Qualifications

• Experience with U.S. statutory accounting, GAAP, insurance regulatory and actuarial guidelines.
• Experience managing collateral and counterparty relationships.
• Prior leadership of derivatives or hedging teams in an insurance or asset management setting.

Tasks & Responsibilities:

• Develop and optimize passenger rail service concepts, operating plans, and detailed timetables, with a focus on North American intercity, commuter and regional rail systems.
• Apply experience gained at Deutsche Bahn in Germany to introduce European best practices for service design, scheduling, and operations planning.
• Lead the design and evaluation of theoretical and operational timetables, including capacity and head-way analysis, rolling stock utilization, and infrastructure interface considerations.
• Collaborate with internal and external partners—including railroad operators, infrastructure owners, and planning agencies—to ensure integrated and feasible service plans.
• Mentor and review the work of consultants and analysts supporting service planning projects to foster technical development.
• Support workshops and presentations to communicate complex operational concepts to clients and stakeholders.
• Leverage DB’s international expertise and tools, coordinating with colleagues in Germany to transfer knowledge and adapt methodologies for North American applications.

Requirements:

• Bachelor’s degree in Engineering, Transportation, Business Administration or similar (M.Sc.).
• Minimum of 10 years of experience in railway operations planning, timetable development, or service design, including direct experience working with Deutsche Bahn (DB) in Germany.
• Deep understanding of European railway scheduling methodologies, capacity planning, and coordination between infrastructure managers and train operators.
• Demonstrated proficiency with rail service planning tools, such as Viriato or similar timetable development or dynamic simulation software.
• Outstanding analytical, conceptual, and problem-solving skills and an innovative and entrepreneurial mindset; ability to work independently; aptitude to quickly grasp new concepts and effectively produce results.
• Passion for tackling complex challenges in mobility and railway transportation sector.
• Strong written and verbal presentation and communication skills.
• Ability to work effectively in a fast-paced, team-oriented environment with strong interpersonal skills.
• Experience in using MS-Office (Excel, PowerPoint, Word) for performing analyses and developing quantitative models.
• Occasional domestic / international travel may be required.

Working Conditions and Travel:

You may work from a well-lighted, heated and air-conditioned indoor office setting with adequate ventilation. Occasional overnight travel by land and air.

Physical Requirements, with or without a reasonable accommodation:

• Ability to work at a computer workstation for periods up to 4 hours at a time
• Ability to speak on the telephone for a total of up to 3 hours per day
• Ability to sit for up to 3 hours without breaks at meetings
• Ability to walk and stand for up to 4 hours without breaks at program site visits and meetings

We offer an annual gross salary between $161,000 and $188,000 + bonus (USD) for full-time employment, depending on professional qualifications and experience.

Follow your passion

Are you looking to make a BIG impact? At Zeta, we pursue an unprecedented combination of high academic achievement and social-emotional development for our students. We insist that every student receives a world-class education while fostering a love for learning. We are passionate about changing the landscape of public education in New York City and beyond, and we are uncompromising in our mission.

Currently, we operate multiple elementary and middle schools in the Bronx, Upper Manhattan, and Queens. We plan to grow and open 1-2 schools each year because children in every community deserve excellent, equitable education. Join our growing team today, and be a change agent for children.

Our Network office is located at 401 W. 218th St., New York, NY 10034. Our Network team follows a hybrid work schedule: we work in-person from our office on Tuesdays and Thursdays with optional remote days on Mondays, Wednesdays, and Fridays, if your team's scope of work permits.

Deliver powerful results

To achieve our vision, we are searching for a stellar Manager of Finance with a Bachelor's Degree and 2-3 years of work experience in finance, accounting, or consulting who is fueled by a passion for team success and continual improvement. Candidates with a background in quantitative analysis are highly encouraged to apply. In this role you will support our team to ensure that Zeta has the financial freedom and flexibility to build a world-class, scaling organization and can afford all the necessary resources for excellent programming for our students. The finance team will strategically plan for our financial needs to ensure that Zeta is able to operate existing schools, open new schools, and continue to grow to achieve our big aims. 

The ideal candidate will demonstrate:

• Exceptional quantitative and analytical skills, with the ability to translate complex financial data into clear, actionable insights for diverse stakeholders
• A track record of building accurate financial models, reports, and tools that inform strategic decision-making
• Strong financial acumen across budgeting, forecasting, cash flow management, and internal control
• Meticulous attention to detail and a commitment to accuracy, compliance, and risk mitigation
• Ownership over timelines and deliverables, with the ability to manage multiple priorities in a fast-paced, scaling environment
• Comfort operating in ambiguity and wearing multiple hats on a lean team
• A collaborative mindset, with a genuine investment in team success and continuous process improvement
• Experience in quantitative analysis roles is a plus, but not required

Responsibilities:

• Develop clear, comprehensive financial reports, tools, and templates to communicate key financial information to internal leadership, board members, and external stakeholders
• Build and maintain financial models to assess the feasibility and sustainability of new programs and strategic initiatives
• Improve and streamline tools and processes that support accurate and efficient student invoicing
• Prepare timely and accurate financial information in response to inquiries from public and private funders and grantees
• Monitor organizational financial activity to mitigate risk, strengthen internal controls, and safeguard against fraud
• Support day-to-day finance operations, including accounts payable processing, cash flow management, expense tracking, and grant coding/tagging
• Wear multiple hats as a part of a lean scale-up team, supporting the work of others on the team and taking on new projects and tasks as needed

Join our purpose-driven community

Zeta teammates are lifelong learners who live with child-like joy and a deep sense of purpose. We disrupt the status quo and tackle problems together. Our team stands united by our commitment to a limitless future for every child. Our Zeta team is comprised of top talent with incredible schooling and private sector experience. At Zeta:

• We are passionate about our mission of providing world-class education to all students
• We bring a mindset of growth, flexibility, and openness to feedback
• We are hungry and determined to not only meet our goals, but surpass them
• We are humble, willing to put the team's needs ahead of our own, and committed to contributing to a collaborative work environment
• We have a high bar for excellence and sweat over the details
• We are caring and put team over individual at all times

We are accepting applications on a rolling basis. The salary range for this position is between $85,000 and $100,000. New hires can expect to be brought into the organization at a salary at or near the start of the range, depending on relevant experience and internal equity. Compensation is based on our salary scales. This position is eligible to receive an annual discretionary, merit-based performance bonus.

How does Zeta invest in you?

We offer great benefits:

• Comprehensive and affordable medical, dental, and vision plans
• Flexible spending accounts for eligible medical purchases and commuter expenses
• 403(b) retirement plan; Zeta offers matching contributions toward your savings
• Competitive compensation

We provide awesome perks:

• Monthly stipend for wellness and lifestyle expenses (Gym memberships, salon appointments, concerts – it's up to you!)
• 4 live therapy sessions per month through Talkspace, and a free Headspace subscription
• MacBook Air, and specified monthly reimbursement for use of mobile phone
• Fully stocked teacher workrooms with favorite snacks and Nespresso machine
• Zeta swag, team outings, and NYC's finest sweet treats
• Books for professional development

We care deeply about your personal and professional growth:

• Clear pathway to professional growth
• Consistent feedback and support from managers and teammates
• Community Circle practice to build and strengthen our sense of team
• Interactive Mindfulness and DEIJ programming

Apply Now!

Equity is at the heart of our mission. We have a deep commitment to pursuing diversity and striving for equity. Zeta is an equal opportunity employer. Candidates of all backgrounds are encouraged to apply. Work authorization is required (candidate must have permanent authorization to work in the U.S.).

Your Impact on our Mission

Zocdoc’s most important asset is our people. As a Staff Data Scientist, Marketplace, you’ll play a meaningful role in transforming healthcare by shaping how millions of patients discover and book care.

The Marketplace team is responsible for driving patient demand, optimizing the search and booking experience, and ensuring a healthy, high-performing two-sided marketplace. This includes areas such as Growth, Search, Insurance, and Patient Home.

As a strategic technical leader on the Marketplace Analytics team, you’ll design and scale analytical frameworks that inform product and growth strategy, guide experimentation, and optimize performance across the patient funnel—from acquisition through booking and retention. Your work will directly improve marketplace liquidity, efficiency, and long-term value.

You’ll enjoy this role if you are…

• Passionate about transforming healthcare through data and turning complex datasets into meaningful product insights

• A force multiplier who loves mentoring and enabling teams to deliver scalable, high-impact work

• Comfortable operating at the intersection of business strategy, data science, and product innovation

• Energized by complex, ambiguous problems and skilled at translating them into structured analytical solutions

• Personally motivated by building systems, frameworks, and capabilities that outlast any one analysis

• Serious about your work, but not about yourself — you value rigor and humility equally

Your day to day is…

• Partnering with Product, Marketing, Finance, Engineering, and Commercial teams to translate insights into actionable product and business strategy

• Architecting and executing experimentation frameworks, including A/B testing design, power analysis, variance reduction, and advanced causal inference methodologies (e.g., DiD, synthetic controls, propensity modeling, causal forests)

• Identifying, designing, and guiding the development of analytical models (e.g., LTV, survival, uplift models) to improve provider utilization, acquisition, retention, patient engagement, and client ROI

• Establishing scalable statistical frameworks and best practices to quantify the impact of product and commercial initiatives

• Partnering with Engineering to ensure data quality, event instrumentation, feature availability, and scalable pipelines that enable trustworthy analysis

• Mentoring and upskilling analysts and data scientists, raising the bar for analytical rigor and impact across Zocdoc

• Advancing AI-assisted analytical workflows to streamline recurring analysis and decision support

• Working with cutting edge GenAI tools and technology

You’ll be successful in this role if you have…

• An unrelenting desire to build more equitable, inclusive, and diverse workplaces, and view this role as an opportunity to create positive change

• 8+ years of experience in data science, machine learning, or related quantitative roles

• Proven success developing LTV models, survival models, uplift models, or similar predictive frameworks for customer targeting and optimization

• Deep expertise in SQL and Python (pandas, NumPy, scikit-learn, statsmodels)

• Strong knowledge of experimentation and causal inference, including statistical power analysis, experiment design, and quasi-experimental methodologies

• Experience shaping and scaling analytics functions—not just building individual models

• Experience working in cross-functional product organizations

• The ability to integrate generative AI tools into daily workflows to automate tasks, foster innovation, and maximize productivity

• Superb communication skills and the ability to influence non-technical stakeholders

• The mentality of an entrepreneur/owner with a strong bias to action

• Humility — you treat all people with dignity and respect, regardless of title or tenure

Nice to have

• Master’s or PhD in Statistics, Economics, Applied Math, or another quantitative field

• Experience within a SaaS organization

Benefits

• Flexible, hybrid work environment at our convenient Soho location

• Unlimited Vacation

• 100% paid employee health benefit options (including medical, dental, and vision)

• Commuter Benefits

• 401(k) with employer funded match

• Corporate wellness program with Wellhub

• Sabbatical leave (for employees with 5+ years of service)

• Competitive paid parental leave and fertility/family planning reimbursement

• Cell phone reimbursement

• Catered lunch everyday along with beverages and snacks

• Employee Resource Groups and ZocClubs to promote shared community and belonging

• Great Place to Work Certified

HFT Quantitative Research and Trading

The Role

We are looking for exceptional HFT Quantitative Researchers and Traders to work at the intersection of research, engineering, low-latency execution, creating alpha and monetising our deep-learning alpha alpha across a broad spectrum of markets, products, and asset classes.

Key Responsibilities

• Monetise core alpha through efficient execution strategies across futures and related products.
• Expand trading universes - identify and onboard new instruments within existing markets and work closely with BD to identify new opportunities and exchanges. 
• Develop and refine execution logic - optimise market access, routing, and order placement to minimise slippage and latency impact.
• Collaborate closely with researchers, developers, and infrastructure engineers to bring models from research to production.
• Design and test short-term signals and execution algorithms to preserve alpha and reduce transaction costs.
• Monitor live strategies, diagnose performance drift, and implement continual improvements.
• Conduct PnL attribution and microstructure analysis to measure and enhance monetisation efficiency.
• Stay ahead of exchange microstructure changes and proactively adapt strategies to evolving market dynamics and market impact dynamics.

Ideal Candidate Profile

• 5+ years of experience in HFT or ultra-low-latency trading, ideally within futures markets (options experience is a strong plus).
• Proven track record in execution alpha monetisation - not just signal generation - you’ve taken models from idea to production.
• Deep understanding of L3 data, market microstructure, order book dynamics, and short-horizon predictive models.
• Hands-on experience in strategy deployment and productionisation, including calibration, risk controls, and post-trade analytics.
• Strong quantitative and programming skills - Python and C++ preferred; familiarity with distributed and low-latency systems advantageous.
• Knowledge of cross-exchange arbitrage, market making, or execution cost optimisation a plus.
• Highly analytical, commercial mindset with the ability to operate autonomously in a fast-paced, research-driven environment

Director of Scholar Support

About the Opportunity

Democracy Prep Public Schools seeks a Director of Scholar Support who will work alongside the Director of Social Workers and Family Services to provide network-wide leadership and guidance to school-based scholar support teams in the development of a positive, joyful, and rigorous school culture. This role is responsible for driving the consistent implementation and continuous improvement of scholar support systems across campuses, including behavior management, social-emotional learning, and attendance.

The Director of Scholar Support will coach and hold school leaders and scholar support teams accountable for implementing these systems with fidelity, using data to monitor effectiveness, identify trends, and strengthen practice across schools. Through this work, the role will help schools cultivate environments where scholars experience strong relationships, high expectations, and a deep sense of belonging—resulting in increased engagement, consistent attendance, and academic success.

Priority will be given to applications submitted by May 31, 2026

Who You Are

• An education reformer with an unwavering commitment to Democracy Prep’s mission of college success and authentic civic engagement for all scholars, especially those facing the greatest challenges
• A self-reflective, equity-driven leader committed to advancing antiracism and fostering inclusive, identity-affirming school communities
• A strong relationship builder who can influence across teams, effectively managing up and laterally to drive alignment and results across campuses
• A systems-oriented thinker who can translate vision into clear, actionable practices and ensure consistency across schools
• An experienced coach with a proven track record of developing leaders (e.g., Deans of Culture, Scholar Support teams) and strengthening their impact
• A skilled communicator who can tailor messaging to diverse stakeholders and lead high-quality professional development on school culture, classroom management, and scholar support systems
• A data-driven practitioner who uses qualitative and quantitative data to diagnose challenges, identify trends, and drive continuous improvement
• Deeply committed to advocating for scholars and partnering with families and communities to support student success
• Bachelor’s degree required; Master’s degree in a related field preferred

What You’ll Do

• Coach and hold accountable school-based scholar support leaders (including Deans of Culture, Behavior Support Specialists, and Scholar Support Specialists) to ensure consistent, high-quality implementation of behavior, SEL, and attendance systems
• Lead and facilitate ongoing professional development, coaching cycles, and team meetings that build the capacity of scholar support teams and school leaders
• Conduct regular school walkthroughs and audits to assess the strength of culture systems and classroom environments; provide clear, actionable feedback aligned to network expectations
• Analyze school culture and attendance data to identify trends, diagnose root causes, and drive targeted support and intervention strategies across campuses
• Oversee and strengthen tiered attendance systems, coaching schools to implement effective interventions that improve student attendance, engagement, and family partnership
• Support schools in implementing restorative practices and aligned behavior systems that reinforce strong relationships, accountability, and belonging
• Ensure the consistent, high-quality implementation of culture-building structures (e.g., town halls, celebrations, student experiences) that foster joy, belonging, and strong school identity.
• Partner with school leaders to ensure classroom culture reflects both strong systems and high levels of student engagement, coaching Deans to translate expectations into daily practice
• Collaborate with the special education team to analyze data and align supports for scholars with IEPs, ensuring interventions are coordinated and effective
• Provide strategic support to school leaders during high-need situations, including culture resets, complex behavioral incidents, and suspension decision-making
• Respond to network and school-based requests with clear guidance, coaching, and follow-through, ensuring alignment to network-wide scholar support priorities

Compensation 

Salary is $140,000 - $155,000 and commensurate with your experience. Democracy Prep employees are provided with a benefits package that includes medical, vision, and dental insurance, 403B matching, parental leave, tuition reimbursement, a smartphone, and a laptop. 

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Democracy Prep is an Equal Opportunity Employer and will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, or ancestry, sex, age, physical or mental disability, pregnancy, veteran or military status, genetic information, sexual orientation, gender identity or expression, marital status, familial status, domestic violence victim status, or any other legally recognized protected basis under federal, state or local laws, regulations or ordinances. Our mission is to educate responsible citizen-scholars who will change the world. We strongly believe that by building a DREAM team that represents numerous perspectives, backgrounds, and expertises, we can achieve this goal together. This is a value we highly support and strongly encourage candidates of all backgrounds to apply.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.  

The successful candidate will join the global Cloud Infrastructure team to design, build and support services and solutions to meet a wide variety of business requirements. You will be working closely with the trading, research and wider business teams to drive adoption of cloud-based services, implementing a cloud-first approach to problem solving. Cloud computing infrastructure is at the heart of QRT’s IT platform, and spans across many business areas including research technology, trading tools, market execution and data processing.

Your future role within QRT:

• Design and implement highly available, scalable, and secure cloud infrastructure on AWS
• Develop automation scripts to manage and maintain cloud infrastructure using tools such as Terraform and CloudFormation
• Monitor and optimize the performance and cost-effectiveness of cloud infrastructure
• Collaborate with development teams to support the deployment and operation of applications on AWS
• Evaluate and recommend new technologies to improve the reliability, scalability, and security of the company's cloud infrastructure
• Troubleshoot and resolve technical issues related to AWS infrastructure

Your present skillset:

• Extensive experience with AWS, including experience with EC2, S3, VPC, and other core services
• Proficiency with scripting languages (e.g. Python, Bash)
• Familiarity with configuration management tools (e.g. Ansible, Terraform)
• Experience with containers and orchestration technologies (e.g. Docker, ECS, Kubernetes)
• Experience with monitoring and performance tuning in a cloud environment
• Familiarity with agile software development methodologies
• Excellent communication and collaboration skills

Base salary range for this position is $150,000 to $220,000 per year. 

QRT Total Compensation includes discretionary performance-based bonuses and a competitive benefits package.