About the Team

ACCEL Schools is seeking a Custodian at Columbus Arts & Technology Academy in Columbus, OH to maintain the cleanliness and safety of the school building.  

Be part of the difference at Columbus Arts & Technology Academy! Columbus Arts & Technology Academy (CATA) is a public charter school serving East Columbus K-12 students with a well-rounded, college-prep education enriched with technology and arts instruction. The school is known for its nurturing teachers and staff and wide variety of educational opportunities including College Credit Plus and Career Technical Education. Columbus Arts & Technology Academy is part of ACCEL Schools, an established network of public charter schools serving K-12 students throughout the United States since 2014.

With a network of 50 charter schools and growing, ACCEL Schools employs a diverse staff of passionate administrators and educators who value research-based practices and a desire to grow as professionals. We work tirelessly to raise student achievement, regardless of historical barriers, while committed to participating in ongoing professional development, job embedded instructional coaching and embracing a growth mindset.

About the Opportunity:

• Keep the school grounds safe, secure, and clean at all times
• Perform all routine cleaning, housekeeping, and basic maintenance for the school as prescribed by the custodial duty listing, including, but not limited to:
• Removing trash
• Cleaning and wiping down of blackboards, hand railings, doors, and other surfaces as needed
• Changing light bulbs
• Vacuuming and mopping floors
• Cleaning windows and disinfecting student and staff restrooms
• Assisting with cleaning the food service area
• Painting
• Set up and takes down lunch tables in the multi-purpose room as required
• Perform basic electrical, plumbing, and carpentry repairs as needed
• Maintain the external appearance of the building, including the parking lot, playground, sidewalks, steps, and lawns
• Perform snow removal activities as needed, including shoveling, snow-blowing, and salting walkways and steps
• Buff and waxes all floors as needed
• Prepare the school for special events, such as meetings, open houses, etc.
• Ensure school ground electronic security systems/emergency systems are working properly
• Inform School Leader of any damage or wear and tear to school property so that a replacement/refurbishment plan can be initiated
• Willingness to accept training and apply learned skills
• Properly maintain all school tools, supplies, and machinery that are used in day to day operations
• Report to the school on extraordinary event days such as snow days, staff holidays, or other events such as no electric, no water, etc. to inspect the building and ensure the safety and soundness of the building and grounds
• Contribute to a positive climate and culture by exhibiting high professional standards
• Understand, accept, abide by, and implement the school’s philosophy and mission statement in all school activities
• Other duties as assigned

About You:

• High School diploma or equivalent
• Successful completion of federal and state criminal background checks
• Ability to perform physical work in all weather conditions
• Ability to lift and/or move up to 75 lbs.
• Ability to use outdoor and indoor cleaning equipment
• Ability to report to work outside of school opening hours
• Demonstrated punctuality and reliability in reporting to work as scheduled
• Knowledge of cleaning up and disposal of hazardous and bio-hazardous materials
• Basic knowledge of and ability to perform simple electrical and plumbing repairs
• Experience in an urban setting is a plus

About Us

 “We believe that every child should be able to be anything they want in life, regardless of their birthplace and circumstances.” – Ron Packard, CEO & Founder

ACCEL Schools is a network of 80+ high-performing, public charter schools serving PK-12 students. We proudly advocate for school choice and work to address educational inequities throughout the United States. Our schools are inclusive and widely differ to reflect the unique values of the many urban, suburban, and rural communities we serve. Our brick and mortar, and virtual schools specialize in closing educational gaps and offer innovative models such as career-technical education, sports training, bilingual programming, and more. We have been recognized and praised by legislators, authorizers, and researchers for providing exceptional education options to students in historically under-resourced communities

We offer the following benefits:

Compensation

The starting hourly rate for this position is $16.00-$19.00/hour.  Factors which may affect starting pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate. 

Life benefits – time & peace of mind

• Paid time off
• Retirement contributions
• Optional Basic Life and AD&D insurance
• Voluntary life insurance (employee, spouse, child)
• Discounted childcare at Early Learning Academies locations

Health benefits – stay well & thrive

• Medical, dental, and vision insurance
• Employee Assistance Program
• Voluntary short-term disability insurance
• Voluntary long-term disability insurance

Career benefits – keep growing

• Career advancement opportunities throughout Accel Schools and our strong network of 4,000+ instructors and education professionals

EQUAL EMPLOYMENT OPPORTUNITY

It is our policy to abide by all federal, state and local laws prohibiting employment discrimination based solely on a person’s race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, childbirth, physical disability, mental and/or intellectual disability, age, military status, veteran status (including protected veterans), marital status, registered domestic partner or civil union status, familial status, gender (including sex stereotyping and gender identity or expression), medical condition, genetic information, sexual orientation, or any other protected status except where a reasonable, bona fide occupational qualification exists.

About The Role

As a Divisional Production Recruiting Lead, you are the single-threaded owner of all production/manufacturing/supplychain hiring outcomes for your assigned Division. This role exists to solve a critical alignment gap: giving Divisional leaders direct visibility, accountability, and control over their talent pipelines while maintaining leverage from centralized recruiting operations.

You will operate as an embedded player-coach and strategic program manager—personally executing your Division's most critical and complex production assignments while aligning the priorities and workload of the centralized production recruiting team for all of your divisional roles. This is a high-impact, high-autonomy role designed for a proven recruiting operator who can think strategically, execute tactically, and build trusted relationships with senior divisional leadership.

This role is a deliberate bridge in our organizational evolution: it creates the foundation for Divisions to eventually roll-up production recruiting end-to-end while maintaining execution efficiency and central coordination during a period of structural maturity.

What You'll Do

Divisional Accountability & Strategic Ownership

• Own end-to-end production hiring outcomes for your Division, including headcount planning, demand forecasting, requisition prioritization, and delivery against hiring targets.
• Act as the primary strategic talent partner to your Divisional Head of TA and senior divisional leaders, translating business objectives into executable hiring strategies.
• Deliver regular reporting on hiring health, pipeline velocity, capacity constraints, and risk mitigation to divisional leadership—providing full transparency and "positive control" over talent delivery.
• Define and manage SLAs, hiring goals, and success metrics for your Division's production portfolio in partnership with business stakeholders. 

Hands-On Recruiting Execution (Player)

• Personally own and execute full-cycle recruiting on priority roles as needed for your Division's most critical, complex, or strategic production roles, including:
  • Leadership and senior technical hires (Head of, Director, VPs)
  • Single-point-of-failure roles or positions with unique market challenges
  • First-of-their-kind roles requiring deep business context and creative sourcing strategies
• Set the standard for recruiting excellence within your Division—demonstrating best-in-class sourcing, candidate engagement, assessment rigor, and offer negotiation.
• Maintain credibility and market intelligence by staying hands-on in the craft of recruiting, ensuring you deeply understand talent availability, compensation trends, and competitive dynamics. 

Program Management & Priority Direction (Coach)

• Align the day-to-day priorities of the centralized production recruiting team aligned to your Division, ensuring their focus is calibrated to the highest-impact hiring needs.
• Provide coaching, real-time feedback, and quality assurance to centralized recruiters working on your Division's roles (without formal people management responsibility).
• Lead the operational rhythm for your Division's production hiring portfolio, including intake meetings, pipeline reviews, and cross-functional coordination with hiring managers, HR, and Finance.
• Act as the single escalation point for hiring blockers, process breakdowns, or stakeholder misalignment within your Division.
• Design and lead surge hiring initiatives, high-volume campaigns, or other complex hiring programs specific to your Division's business needs. 

Cross-Functional Collaboration & Influence

• Partner closely with The Lead Coordinator, for Overall Divisional Production TA to ensure process consistency, share best practices, and contribute to cross-divisional reporting and strategic planning.
• Provide structured input into performance evaluations and development plans for centralized recruiters supporting your Division, ensuring their contributions to divisional outcomes are recognized.
• Build strong relationships with Divisional BizOps, Finance, and Workforce Planning teams to align on headcount allocation, budget, and hiring sequencing.
• Influence hiring manager behavior and decision-making, serving as a trusted advisor on candidate quality, market realities, and talent strategy trade-offs. 

Who You Are

You are a high-performing recruiting operator who thrives in ambiguity and enjoys owning outcomes. You are equally comfortable rolling up your sleeves to close a Director-level hire and stepping back to orchestrate a 50+ role hiring sprint. You have the business acumen to partner with senior leaders, the program management discipline to drive complex initiatives, and the recruiting chops to execute at the highest level.

You see this role as what it is: a strategic springboard—a chance to prove you can own a business-critical function, build scalable systems, and lead through influence before stepping into formal people leadership.

Required Qualifications

• 8+ years of talent acquisition experience, including significant recent experience as a full-cycle production or technical recruiter in a fast-paced, high-volume environment.
• Proven ability to operate independently with minimal oversight, managing complex hiring portfolios, competing priorities, and ambiguous situations with sound judgment.
• Strong business partnership skills: experience influencing and advising Director-level and above stakeholders, translating business needs into hiring strategies, and managing escalations diplomatically.
• Demonstrated program management capability—experience leading hiring initiatives beyond individual requisitions, coordinating cross-functional teams, and delivering results through others.
• Excellent analytical and communication skills: ability to use data to drive decisions, tell a compelling story, and present hiring health narratives to senior leadership.
• Comfortable working in a matrixed environment, providing direction and feedback to peers without formal management authority. 

Preferred Qualifications

• Direct experience recruiting for production, production operations, or frontline roles in industries such as synergistics, robotics, logistics, manufacturing, field services, or government contracting.
• Experience working in a decentralized or divisional business structure, particularly in organizations undergoing TA operating model transitions.
• Formal program or project management training or certification (e.g., PMP, Agile, Six Sigma).
• Prior experience as a recruiting lead, squad lead, or business partner with responsibility for a portfolio of hiring beyond personal requisition load.
• Familiarity with workforce planning, capacity modeling, and demand forecasting in partnership with Finance or BizOps teams.
• Track record of mentoring or coaching recruiters, with examples of improving team performance or developing junior talent. 

Why This Role Matters

This is not a typical recruiting role. You are being entrusted with divisional accountability for a critical talent function during a pivotal moment in the organization's evolution. You will have direct influence over your Division's ability to meet contract milestones, scale operations, and hit revenue targets. Success in this role positions you as a proven internal candidate to lead a fully embedded or expanded Production TA organization in the future—and equips you with the strategic leadership experience needed to advance into senior TA leadership roles across the enterprise. You will be the bridge between strategy and execution. Between central leverage and divisional ownership. Between what we do today and what we build tomorrow.

Build the Path Forward

Path Robotics is redefining what's possible in autonomous welding. Our AI-powered robotic welding systems use advanced sensing and computer vision to adapt in real time. We're building the future of manufacturing, and we're looking for engineers who want to get their hands dirty doing it.

We're looking for a Mechanical Engineer with a passion for building hardware that works in the real world. You'll be embedded in our sensing and mobile welding platform team, designing the mechanical systems that put our robots in motion and keep them welding accurately in dynamic, unstructured environments. This is a hands-on role for someone who thrives on rapid iteration, owns their designs end to end, and cares deeply about how something gets made — not just how it looks in CAD.

What You'll Do

• Design and develop mechanical assemblies for mobile robotic welding platforms, including sensor integration, structural components and systems, motion systems, and tooling interfaces
• Own designs from concept through fabrication, assembly, and field validation — iterating based on test results and real-world feedback
• Collaborate closely within a cross-functional team including mechanical, electrical, software, and systems engineers to integrate sensing hardware (cameras, LiDAR, proximity sensors, etc.) into compact, robust mechanical packages
• Apply sound design-for-manufacturing (DFM) principles across multiple fabrication methods — machined components, sheet metal enclosures, and additive/3D-printed parts
• Create and maintain detailed CAD models, assemblies, drawings, and BOMs in SolidWorks, managed through PDM
• Participate in design reviews and contribute to engineering decisions with well-reasoned tradeoffs between performance, cost, and manufacturability
• Work directly with fabrication vendors and internal shop resources to turn drawings into parts — fast
• Support root cause analysis and design improvements driven by field findings and reliability data

What We're Looking For

• 3–6 years of mechanical engineering experience in a product development or hardware engineering environment
• Proficiency in SolidWorks for multi-body and multi-component assemblies, with hands-on use of PDM for version control and release workflows
• Solid command of engineering drawing standards and the ability to produce clear, manufacturable drawings; working familiarity with GD&T
• Demonstrated experience designing for multiple manufacturing methods — machining, sheet metal, and additive manufacturing
• Ability to read and reason about mechanical interfaces in the context of broader electromechanical systems

Why You’ll Love Working Here

• Competitive salary and equity in a well-funded, high-growth robotics company
• Comprehensive health, dental, and vision benefits
• 401(k)
• Flexible PTO
• Hands-on, collaborative culture

Who We Are

About Path robotics

Path Robotics is redefining what's possible in autonomous welding. Our AI-powered robotic welding systems use advanced sensing and computer vision to adapt in real time — no fixtures, no programming, no limits. We're building the future of manufacturing, and we're looking for engineers who want to get their hands dirty doing it.

The Role

We're looking for a Software Engineer with strong systems-level instincts and experience building software that interfaces directly with hardware. You'll work across our sensing stack, robotic platform, and compute infrastructure — writing the code that lets our robots see, move, and think. This is a role for someone who's comfortable working close to the metal: writing HALs, integrating sensors and actuators, and squeezing performance out of embedded compute platforms.

What You’ll Do

• Develop full-stack software for sensing and robotic systems, including HALs for cameras, laser sensors, and communication interfaces.
  
  
• Build and extend the software architecture that integrates robotic arms, welding systems, and peripheral hardware into a unified control stack.
  
  
• Design and implement robust device drivers, HALs, and ROS-based components for production robotic applications.
  
  
• Develop and optimize software for embedded compute platforms such as NVIDIA Jetson, including real-time and GPU-accelerated workloads.
  
  
• Work closely with hardware, firmware, and systems teams to bring up devices, debug issues across the stack, support deployments, and improve field performance.

Who You Are

• 3–6 years of software engineering experience in robotics, automation, embedded systems, or a related field.
  
  
• Strong C++ skills in production environments, with working knowledge of Python for tooling, scripting, and testing.
  
  
• Hands-on experience with ROS or ROS2 in deployed systems.
  
  
• Experience building HALs, device drivers, or other low-level software for sensors, actuators, and hardware peripherals.
  
  
• Comfortable with embedded Linux, cross-compilation, and working alongside hardware and firmware engineers to debug integrated systems.

Why You’ll Love Working Here

• Competitive salary and equity in a well-funded, high-growth robotics company
• Comprehensive health, dental, and vision benefits
• 401(k)
• Flexible PTO
• Hands-on, collaborative culture

*Path Robotics is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.*

Who We Are

Build the Path Forward

At Path Robotics, we’re building the future of embodied intelligence. Our AI-driven systems enable robots to adapt, learn, and perform in the real world closing the skilled labor gap and transforming industries. We go beyond traditional methods, combining perception, reasoning, and control to deliver field-ready AI that is risk-aware, reliable, and continuously improving through real-world use.

Big, hard problems are our everyday work, and our team of intelligent, humble, and driven people make the impossible possible together.

We’re looking for a Software Engineer with deep experience in C++ and Python to lead the development of core systems powering our intelligent robotic platforms. In this role, you’ll architect and implement high-performance software at the intersection of real-time robotics, perception, and machine learning. You’ll take technical ownership of critical components, mentor team members, and help shape the future of our robotics software stack.

What You’ll Do

• Drive software architecture decisions across robotics and perception systems.
• Design, implement, and optimize performance-critical components of the robotics and perception stack in C++ and Python.
• Develop and integrate 3D point cloud processing algorithms for weld joint perception, including registration, pose estimation, segmentation, and geometric reasoning.
• Lead the integration of machine learning models into real-time systems, ensuring low-latency, high-reliability performance.
• Design and implement gRPC/Protobuf service interfaces with attention to schema versioning and backward-compatible API evolution.
• Instrument perception systems for production observability, building telemetry pipelines that connect algorithmic metrics to business outcomes.

Who You Are

• Bachelor's, Master's, or PhD in Computer Science, Robotics, Electrical Engineering, or a related field.
• 5+ years of professional experience in software engineering; title and compensation will be commensurate with experience.
• Solid grasp of system-level software design, concurrency, memory management, and optimization.
• Advanced proficiency in modern C++ and Python, with demonstrated experience building production services using gRPC and Protobuf.
• Experience with robotics or perception applications, including familiarity with ROS/ROS2, motion planning, and hardware interfaces is preferred.
• Proficient in Linux-based development; experience with Docker strongly preferred

Why You’ll Love Working Here

• Daily free lunch to keep you fueled and connected with the team
• Flexible PTO so you can take the time you need, when you need it
• Comprehensive medical, dental, and vision coverage
• 6 weeks fully paid parental leave, plus an additional 6–8 weeks for birthing parents (12–14 weeks total)
• 401(k) retirement plan through Empower
• Generous employee referral bonuses—help us grow our team!

Who We Are

About impact.com
impact.com is the world’s leading commerce partnership marketing platform, transforming the way businesses grow by enabling them to discover, manage, and scale partnerships across the entire customer journey. From affiliates and influencers to content publishers, brand ambassadors, and customer advocates, impact.com empowers brands to drive trusted, performance-based growth through authentic relationships. Its award-winning products - Performance (affiliate), Creator (influencer), and Advocate (customer referral) - unify every type of partner into one integrated platform. As consumers increasingly rely on recommendations from people and communities they trust, impact.com helps brands show up where it matters most. Today, over 5,000 global brands - including Walmart, Uber, Shopify, Lenovo, L’Oréal, and Fanatics - rely on impact.com to power more than 350,000 partnerships that deliver measurable business results.

Your Role at impact.com:

We're seeking a Senior Data Scientist to serve as an embedded Data Scientist within our Programmatic Experience Group. You'll own the design and deployment of machine learning models that optimize yield, pricing, and inventory allocation at scale — sitting at the intersection of data science, platform engineering, and marketplace economics.

This is a high-craft, high-ownership individual contributor role. You'll work end-to-end: architecting the data pipelines that feed your models, engineering the features that drive performance, and deploying real-time inference systems that make decisions at speed. Your work directly determines how effectively Impact's programmatic marketplace balances advertiser performance with publisher monetization — making this one of the highest-leverage technical roles in the business.

You'll collaborate closely with Product, Data Science, and Programmatic Delivery Engine Engineering, but you operate with significant autonomy. You're expected to bring both the modeling rigor of a data scientist and the production instincts of an ML engineer — and to be genuinely excited about both.

What You'll Do:

Yield Optimization & Pricing Models

• Design and deploy ML models that optimize auction pricing, bid shading, floor price setting, and yield across Impact's programmatic inventory.
• Build and iterate on real-time pricing algorithms that balance short-term revenue efficiency with long-term publisher and advertiser health.
• Develop and maintain feedback loops that allow pricing models to adapt to shifting market conditions, inventory mix, and demand patterns.
• Quantify the revenue impact of pricing model improvements; communicate tradeoffs between yield maximization, fill rate, and partner ROI to stakeholders.

Inventory Allocation & Supply Optimization

• Own ML-driven inventory allocation logic: routing, pacing, and matching supply to demand across partner segments, deal types, and campaign objectives.
• Build models that forecast inventory availability, demand curves, and clearing prices to support proactive allocation decisions.
• Identify and address inefficiencies in inventory utilization — including unsold inventory, suboptimal deal matching, and allocation imbalances across the publisher base.

Data Architecture & Feature Engineering

• Design and own the data infrastructure that feeds programmatic models: event pipelines, feature stores, training datasets, and real-time feature serving.
• Engineer high-signal features from auction logs, bid stream data, user signals, contextual attributes, and historical performance — at the scale of programmatic data volumes.
• Build robust data pipelines with production-grade standards: reliability, observability, versioning, and efficient reprocessing.

Real-Time Inference & Production ML

• Deploy models to production real-time inference environments; own latency, reliability, and throughput requirements for auction-time decision-making.
• Build monitoring systems that track model performance, data drift, and system health in production; define alerting thresholds and retraining triggers.
• Partner with MLOps and Platform Engineering to ensure scalable, low-latency serving infrastructure meets SLOs under high-volume auction traffic.
• Own the full model lifecycle: training, evaluation, deployment, A/B testing, and iteration.

Experimentation & Performance Measurement

• Design and execute rigorous A/B and holdout experiments to measure the causal impact of model changes on yield, fill rate, advertiser performance, and publisher revenue.
• Build evaluation frameworks that go beyond offline metrics — validating model behavior in live auction environments where feedback signals are delayed or noisy.
• Translate experimental results into clear business narratives; present findings and recommendations to Product and business stakeholders.

Self-Learning Systems & Feedback Loops

• Research and implement adaptive, self-learning components within the programmatic stack — including contextual bandits, reinforcement learning signals, and online learning approaches where appropriate.
• Design feedback mechanisms that close the loop between auction outcomes, model updates, and system behavior; reduce reliance on manual tuning and rule-based overrides.
• Stay current with advances in programmatic ML, auction theory, and online optimization; evaluate applicability to Impact's specific marketplace dynamics.

Cross-Functional Collaboration

• Serve as the primary ML technical partner for the Rubicon product and engineering teams; translate business requirements into modeling approaches and communicate technical tradeoffs clearly.
• Collaborate with Data Science peers on shared infrastructure, modeling standards, and cross-domain feature reuse.
• Document models, architectures, and experimental findings to a standard that enables review, replication, and knowledge transfer across teams.

What You Bring:

Required

• Experience: 5+ years in data science, ML engineering, or quantitative research, with at least 2+ years building and deploying ML models in programmatic advertising, ad tech, marketplace optimization, or a closely related domain (e.g., real-time bidding, dynamic pricing, auction systems).
• Programmatic & marketplace depth: Demonstrated understanding of programmatic auction mechanics (RTB, header bidding, floor pricing, deal types, bid shading) and how ML can be applied to optimize outcomes across the supply-demand stack.
• Production ML engineering: Proven ability to take models from prototype to production independently — including real-time inference, monitoring, retraining pipelines, and SLO ownership.
• Data architecture: Experience designing and building data pipelines, feature stores, and training infrastructure for high-volume, low-latency ML systems.
• Technical skills:
• Strong Python and SQL; proficiency with ML libraries (scikit-learn, XGBoost, LightGBM, PyTorch/TensorFlow) and large-scale data tools (Spark, Kafka, or equivalent streaming/batch frameworks).
• Experience with real-time feature serving and low-latency model deployment (REST APIs, gRPC, or streaming inference).
• Familiarity with production ML workflows: model versioning, drift monitoring, A/B testing, evaluation, and retraining.
• Experience processing and modeling at programmatic data scale: high-cardinality auction logs, bid stream data, impression and click events.
• Experimentation rigor: Strong grasp of causal inference and experiment design in online, delayed-feedback environments (auction holdouts, switchback tests, variance reduction techniques).
• Communication: Ability to explain complex modeling decisions and tradeoffs to Product and business stakeholders; comfortable presenting in cross-functional forums.
• Education: Bachelor's in a quantitative field (CS, Statistics, Math, Engineering, Economics, or similar); Master's/PhD preferred.

Preferred / Nice to Have

• Direct experience with SSP, DSP, or exchange-side yield optimization — particularly floor price optimization, bid landscape modeling, or deal matching algorithms.
• Familiarity with auction theory (first-price vs. second-price dynamics, optimal reserve pricing, revenue equivalence) and its practical implications for programmatic ML.
• Experience with contextual bandits, multi-armed bandits, or reinforcement learning applied to real-time decisioning problems.
• Knowledge of online learning and adaptive algorithms in production environments with non-stationary data distributions.
• Familiarity with privacy-preserving ML techniques relevant to programmatic (differential privacy, federated learning, cookieless attribution modeling).
• Experience with GCP tools (BigQuery, Vertex AI, Dataflow, Pub/Sub) and/or Databricks/Spark for large-scale event processing and model training.
• Exposure to supply forecasting, inventory management, or capacity planning in programmatic or marketplace contexts.
• Familiarity with Impact's affiliate and partnership ecosystem, or prior experience at the intersection of performance marketing and programmatic delivery.

What Sets You Apart

• Marketplace intuition. You understand programmatic auctions not just as an engineer but as an economist — you think about incentive structures, equilibrium dynamics, and how model decisions ripple through the supply-demand stack.
• Full-stack ML ownership. You're as comfortable designing a feature store schema as you are tuning a gradient boosting model or debugging a latency spike in production. You own the whole chain.
• Feedback loop thinking. You don't just deploy models — you design the systems that make them smarter over time. You think about how today's decisions become tomorrow's training signal.
• Rigor under real-world constraints. You know how to run clean experiments in environments where feedback is delayed, data is noisy, and business pressures create tradeoffs. You don't let imperfect conditions become an excuse for imprecise thinking.
• Pragmatic delivery. You ship. You balance the perfect with the production-ready, iterate fast, and know when an MVP outperforms a six-month research project.
• Collaborative depth. You build genuine technical trust with engineering and product partners — not just by having good ideas, but by following through, communicating clearly, and making the integration easy.

Salary Range: $165,000 - $185,000 per year, plus an additional 5% variable annual bonus contingent on Company performance and eligible to receive a Restricted Stock Unit (RSU) grant.

*This is the pay range the Company believes is equitable for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time.

Benefits and Perks: 

At impact.com, we believe that when you’re happy and fulfilled, you do your best work. That’s why we’ve built a benefits package that supports your well-being, growth, and work-life balance.

• Medical, Dental, and Vision insurance
• Office-only catered lunch every Thursday, a healthy snack bar, and great coffee to keep you fueled 
• Flexible spending accounts and 401(k)
• Flexible Working: Our Responsible PTO policy means you can take the time off you need to rest and recharge. We're committed to a positive work-life balance and provide a flexible environment that allows you to be happy and fulfilled in both your career and your personal life.
• Health and Wellness: Your well-being is a priority. Our mental health and wellness benefit includes up to 12 fully covered therapy/coaching sessions per year, with additional dependent coverage. We also offer a monthly gym reimbursement policy to support your physical health.
• A Stake in Our Growth: We offer Restricted Stock Units (RSUs) as part of our total compensation, giving you a stake in the company's growth with a 3-year vesting schedule, pending Board approval.
• Investing in Your Growth: We’re committed to your continuous learning. Take advantage of our free Coursera subscription and our PXA courses.
• Parental Support: We offer a generous parental leave policy, 26 weeks of fully paid leave for the primary caregiver and 13 weeks fully paid leave for the secondary caregiver.
• Technology Financial Support: We provide a technology stipend to help you set up your home office and a monthly allowance to cover your internet expenses. 

impact.com is proud to be an equal-opportunity workplace. All employees and applicants for employment shall be given fair treatment and equal employment opportunity regardless of their race, ethnicity or ancestry, color or caste, religion or belief, age, sex (including gender identity, gender reassignment, sexual orientation, pregnancy/maternity), national origin, weight, neurodivergence, disability, marital and civil partnership status, caregiving status, veteran status, genetic information, political affiliation, or other prohibited non-merit factors.

#LI_Columbus_OH

About impact.com
impact.com is the world’s leading commerce partnership marketing platform, transforming the way businesses grow by enabling them to discover, manage, and scale partnerships across the entire customer journey. From affiliates and influencers to content publishers, brand ambassadors, and customer advocates, impact.com empowers brands to drive trusted, performance-based growth through authentic relationships. Its award-winning products - Performance (affiliate), Creator (influencer), and Advocate (customer referral) - unify every type of partner into one integrated platform. As consumers increasingly rely on recommendations from people and communities they trust, impact.com helps brands show up where it matters most. Today, over 5,000 global brands - including Walmart, Uber, Shopify, Lenovo, L’Oréal, and Fanatics - rely on impact.com to power more than 350,000 partnerships that deliver measurable business results.

Your Role at impact.com:

We're seeking a Senior Data Scientist to serve as an embedded Data Scientist within our Programmatic Experience Group. You'll own the design and deployment of machine learning models that optimize yield, pricing, and inventory allocation at scale — sitting at the intersection of data science, platform engineering, and marketplace economics.

This is a high-craft, high-ownership individual contributor role. You'll work end-to-end: architecting the data pipelines that feed your models, engineering the features that drive performance, and deploying real-time inference systems that make decisions at speed. Your work directly determines how effectively Impact's programmatic marketplace balances advertiser performance with publisher monetization — making this one of the highest-leverage technical roles in the business.

You'll collaborate closely with Product, Data Science, and Programmatic Delivery Engine Engineering, but you operate with significant autonomy. You're expected to bring both the modeling rigor of a data scientist and the production instincts of an ML engineer — and to be genuinely excited about both.

What You'll Do:

Yield Optimization & Pricing Models

• Design and deploy ML models that optimize auction pricing, bid shading, floor price setting, and yield across Impact's programmatic inventory.
• Build and iterate on real-time pricing algorithms that balance short-term revenue efficiency with long-term publisher and advertiser health.
• Develop and maintain feedback loops that allow pricing models to adapt to shifting market conditions, inventory mix, and demand patterns.
• Quantify the revenue impact of pricing model improvements; communicate tradeoffs between yield maximization, fill rate, and partner ROI to stakeholders.

Inventory Allocation & Supply Optimization

• Own ML-driven inventory allocation logic: routing, pacing, and matching supply to demand across partner segments, deal types, and campaign objectives.
• Build models that forecast inventory availability, demand curves, and clearing prices to support proactive allocation decisions.
• Identify and address inefficiencies in inventory utilization — including unsold inventory, suboptimal deal matching, and allocation imbalances across the publisher base.

Data Architecture & Feature Engineering

• Design and own the data infrastructure that feeds programmatic models: event pipelines, feature stores, training datasets, and real-time feature serving.
• Engineer high-signal features from auction logs, bid stream data, user signals, contextual attributes, and historical performance — at the scale of programmatic data volumes.
• Build robust data pipelines with production-grade standards: reliability, observability, versioning, and efficient reprocessing.

Real-Time Inference & Production ML

• Deploy models to production real-time inference environments; own latency, reliability, and throughput requirements for auction-time decision-making.
• Build monitoring systems that track model performance, data drift, and system health in production; define alerting thresholds and retraining triggers.
• Partner with MLOps and Platform Engineering to ensure scalable, low-latency serving infrastructure meets SLOs under high-volume auction traffic.
• Own the full model lifecycle: training, evaluation, deployment, A/B testing, and iteration.

Experimentation & Performance Measurement

• Design and execute rigorous A/B and holdout experiments to measure the causal impact of model changes on yield, fill rate, advertiser performance, and publisher revenue.
• Build evaluation frameworks that go beyond offline metrics — validating model behavior in live auction environments where feedback signals are delayed or noisy.
• Translate experimental results into clear business narratives; present findings and recommendations to Product and business stakeholders.

Self-Learning Systems & Feedback Loops

• Research and implement adaptive, self-learning components within the programmatic stack — including contextual bandits, reinforcement learning signals, and online learning approaches where appropriate.
• Design feedback mechanisms that close the loop between auction outcomes, model updates, and system behavior; reduce reliance on manual tuning and rule-based overrides.
• Stay current with advances in programmatic ML, auction theory, and online optimization; evaluate applicability to Impact's specific marketplace dynamics.

Cross-Functional Collaboration

• Serve as the primary ML technical partner for the Rubicon product and engineering teams; translate business requirements into modeling approaches and communicate technical tradeoffs clearly.
• Collaborate with Data Science peers on shared infrastructure, modeling standards, and cross-domain feature reuse.
• Document models, architectures, and experimental findings to a standard that enables review, replication, and knowledge transfer across teams.

What You Bring:

Required

• Experience: 5+ years in data science, ML engineering, or quantitative research, with at least 2+ years building and deploying ML models in programmatic advertising, ad tech, marketplace optimization, or a closely related domain (e.g., real-time bidding, dynamic pricing, auction systems).
• Programmatic & marketplace depth: Demonstrated understanding of programmatic auction mechanics (RTB, header bidding, floor pricing, deal types, bid shading) and how ML can be applied to optimize outcomes across the supply-demand stack.
• Production ML engineering: Proven ability to take models from prototype to production independently — including real-time inference, monitoring, retraining pipelines, and SLO ownership.
• Data architecture: Experience designing and building data pipelines, feature stores, and training infrastructure for high-volume, low-latency ML systems.
• Technical skills:
• Strong Python and SQL; proficiency with ML libraries (scikit-learn, XGBoost, LightGBM, PyTorch/TensorFlow) and large-scale data tools (Spark, Kafka, or equivalent streaming/batch frameworks).
• Experience with real-time feature serving and low-latency model deployment (REST APIs, gRPC, or streaming inference).
• Familiarity with production ML workflows: model versioning, drift monitoring, A/B testing, evaluation, and retraining.
• Experience processing and modeling at programmatic data scale: high-cardinality auction logs, bid stream data, impression and click events.
• Experimentation rigor: Strong grasp of causal inference and experiment design in online, delayed-feedback environments (auction holdouts, switchback tests, variance reduction techniques).
• Communication: Ability to explain complex modeling decisions and tradeoffs to Product and business stakeholders; comfortable presenting in cross-functional forums.
• Education: Bachelor's in a quantitative field (CS, Statistics, Math, Engineering, Economics, or similar); Master's/PhD preferred.

Preferred / Nice to Have

• Direct experience with SSP, DSP, or exchange-side yield optimization — particularly floor price optimization, bid landscape modeling, or deal matching algorithms.
• Familiarity with auction theory (first-price vs. second-price dynamics, optimal reserve pricing, revenue equivalence) and its practical implications for programmatic ML.
• Experience with contextual bandits, multi-armed bandits, or reinforcement learning applied to real-time decisioning problems.
• Knowledge of online learning and adaptive algorithms in production environments with non-stationary data distributions.
• Familiarity with privacy-preserving ML techniques relevant to programmatic (differential privacy, federated learning, cookieless attribution modeling).
• Experience with GCP tools (BigQuery, Vertex AI, Dataflow, Pub/Sub) and/or Databricks/Spark for large-scale event processing and model training.
• Exposure to supply forecasting, inventory management, or capacity planning in programmatic or marketplace contexts.
• Familiarity with Impact's affiliate and partnership ecosystem, or prior experience at the intersection of performance marketing and programmatic delivery.

What Sets You Apart

• Marketplace intuition. You understand programmatic auctions not just as an engineer but as an economist — you think about incentive structures, equilibrium dynamics, and how model decisions ripple through the supply-demand stack.
• Full-stack ML ownership. You're as comfortable designing a feature store schema as you are tuning a gradient boosting model or debugging a latency spike in production. You own the whole chain.
• Feedback loop thinking. You don't just deploy models — you design the systems that make them smarter over time. You think about how today's decisions become tomorrow's training signal.
• Rigor under real-world constraints. You know how to run clean experiments in environments where feedback is delayed, data is noisy, and business pressures create tradeoffs. You don't let imperfect conditions become an excuse for imprecise thinking.
• Pragmatic delivery. You ship. You balance the perfect with the production-ready, iterate fast, and know when an MVP outperforms a six-month research project.
• Collaborative depth. You build genuine technical trust with engineering and product partners — not just by having good ideas, but by following through, communicating clearly, and making the integration easy.

Salary Range: $165,000 - $185,000 per year, plus an additional 5% variable annual bonus contingent on Company performance and eligible to receive a Restricted Stock Unit (RSU) grant.

*This is the pay range the Company believes is equitable for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time.

Benefits and Perks: 

At impact.com, we believe that when you’re happy and fulfilled, you do your best work. That’s why we’ve built a benefits package that supports your well-being, growth, and work-life balance.

• Medical, Dental, and Vision insurance
• Office-only catered lunch every Thursday, a healthy snack bar, and great coffee to keep you fueled 
• Flexible spending accounts and 401(k)
• Flexible Working: Our Responsible PTO policy means you can take the time off you need to rest and recharge. We're committed to a positive work-life balance and provide a flexible environment that allows you to be happy and fulfilled in both your career and your personal life.
• Health and Wellness: Your well-being is a priority. Our mental health and wellness benefit includes up to 12 fully covered therapy/coaching sessions per year, with additional dependent coverage. We also offer a monthly gym reimbursement policy to support your physical health.
• A Stake in Our Growth: We offer Restricted Stock Units (RSUs) as part of our total compensation, giving you a stake in the company's growth with a 3-year vesting schedule, pending Board approval.
• Investing in Your Growth: We’re committed to your continuous learning. Take advantage of our free Coursera subscription and our PXA courses.
• Parental Support: We offer a generous parental leave policy, 26 weeks of fully paid leave for the primary caregiver and 13 weeks fully paid leave for the secondary caregiver.
• Technology Financial Support: We provide a technology stipend to help you set up your home office and a monthly allowance to cover your internet expenses. 

impact.com is proud to be an equal-opportunity workplace. All employees and applicants for employment shall be given fair treatment and equal employment opportunity regardless of their race, ethnicity or ancestry, color or caste, religion or belief, age, sex (including gender identity, gender reassignment, sexual orientation, pregnancy/maternity), national origin, weight, neurodivergence, disability, marital and civil partnership status, caregiving status, veteran status, genetic information, political affiliation, or other prohibited non-merit factors.

#LI_Seattle

About impact.com
impact.com is the world’s leading commerce partnership marketing platform, transforming the way businesses grow by enabling them to discover, manage, and scale partnerships across the entire customer journey. From affiliates and influencers to content publishers, brand ambassadors, and customer advocates, impact.com empowers brands to drive trusted, performance-based growth through authentic relationships. Its award-winning products - Performance (affiliate), Creator (influencer), and Advocate (customer referral) - unify every type of partner into one integrated platform. As consumers increasingly rely on recommendations from people and communities they trust, impact.com helps brands show up where it matters most. Today, over 5,000 global brands - including Walmart, Uber, Shopify, Lenovo, L’Oréal, and Fanatics - rely on impact.com to power more than 350,000 partnerships that deliver measurable business results.

Your Role at impact.com:

We're seeking a Senior Data Scientist to serve as an embedded Data Scientist within our Programmatic Experience Group. You'll own the design and deployment of machine learning models that optimize yield, pricing, and inventory allocation at scale — sitting at the intersection of data science, platform engineering, and marketplace economics.

This is a high-craft, high-ownership individual contributor role. You'll work end-to-end: architecting the data pipelines that feed your models, engineering the features that drive performance, and deploying real-time inference systems that make decisions at speed. Your work directly determines how effectively Impact's programmatic marketplace balances advertiser performance with publisher monetization — making this one of the highest-leverage technical roles in the business.

You'll collaborate closely with Product, Data Science, and Programmatic Delivery Engine Engineering, but you operate with significant autonomy. You're expected to bring both the modeling rigor of a data scientist and the production instincts of an ML engineer — and to be genuinely excited about both.

What You'll Do:

Yield Optimization & Pricing Models

• Design and deploy ML models that optimize auction pricing, bid shading, floor price setting, and yield across Impact's programmatic inventory.
• Build and iterate on real-time pricing algorithms that balance short-term revenue efficiency with long-term publisher and advertiser health.
• Develop and maintain feedback loops that allow pricing models to adapt to shifting market conditions, inventory mix, and demand patterns.
• Quantify the revenue impact of pricing model improvements; communicate tradeoffs between yield maximization, fill rate, and partner ROI to stakeholders.

Inventory Allocation & Supply Optimization

• Own ML-driven inventory allocation logic: routing, pacing, and matching supply to demand across partner segments, deal types, and campaign objectives.
• Build models that forecast inventory availability, demand curves, and clearing prices to support proactive allocation decisions.
• Identify and address inefficiencies in inventory utilization — including unsold inventory, suboptimal deal matching, and allocation imbalances across the publisher base.

Data Architecture & Feature Engineering

• Design and own the data infrastructure that feeds programmatic models: event pipelines, feature stores, training datasets, and real-time feature serving.
• Engineer high-signal features from auction logs, bid stream data, user signals, contextual attributes, and historical performance — at the scale of programmatic data volumes.
• Build robust data pipelines with production-grade standards: reliability, observability, versioning, and efficient reprocessing.

Real-Time Inference & Production ML

• Deploy models to production real-time inference environments; own latency, reliability, and throughput requirements for auction-time decision-making.
• Build monitoring systems that track model performance, data drift, and system health in production; define alerting thresholds and retraining triggers.
• Partner with MLOps and Platform Engineering to ensure scalable, low-latency serving infrastructure meets SLOs under high-volume auction traffic.
• Own the full model lifecycle: training, evaluation, deployment, A/B testing, and iteration.

Experimentation & Performance Measurement

• Design and execute rigorous A/B and holdout experiments to measure the causal impact of model changes on yield, fill rate, advertiser performance, and publisher revenue.
• Build evaluation frameworks that go beyond offline metrics — validating model behavior in live auction environments where feedback signals are delayed or noisy.
• Translate experimental results into clear business narratives; present findings and recommendations to Product and business stakeholders.

Self-Learning Systems & Feedback Loops

• Research and implement adaptive, self-learning components within the programmatic stack — including contextual bandits, reinforcement learning signals, and online learning approaches where appropriate.
• Design feedback mechanisms that close the loop between auction outcomes, model updates, and system behavior; reduce reliance on manual tuning and rule-based overrides.
• Stay current with advances in programmatic ML, auction theory, and online optimization; evaluate applicability to Impact's specific marketplace dynamics.

Cross-Functional Collaboration

• Serve as the primary ML technical partner for the Rubicon product and engineering teams; translate business requirements into modeling approaches and communicate technical tradeoffs clearly.
• Collaborate with Data Science peers on shared infrastructure, modeling standards, and cross-domain feature reuse.
• Document models, architectures, and experimental findings to a standard that enables review, replication, and knowledge transfer across teams.

What You Bring:

Required

• Experience: 5+ years in data science, ML engineering, or quantitative research, with at least 2+ years building and deploying ML models in programmatic advertising, ad tech, marketplace optimization, or a closely related domain (e.g., real-time bidding, dynamic pricing, auction systems).
• Programmatic & marketplace depth: Demonstrated understanding of programmatic auction mechanics (RTB, header bidding, floor pricing, deal types, bid shading) and how ML can be applied to optimize outcomes across the supply-demand stack.
• Production ML engineering: Proven ability to take models from prototype to production independently — including real-time inference, monitoring, retraining pipelines, and SLO ownership.
• Data architecture: Experience designing and building data pipelines, feature stores, and training infrastructure for high-volume, low-latency ML systems.
• Technical skills:
• Strong Python and SQL; proficiency with ML libraries (scikit-learn, XGBoost, LightGBM, PyTorch/TensorFlow) and large-scale data tools (Spark, Kafka, or equivalent streaming/batch frameworks).
• Experience with real-time feature serving and low-latency model deployment (REST APIs, gRPC, or streaming inference).
• Familiarity with production ML workflows: model versioning, drift monitoring, A/B testing, evaluation, and retraining.
• Experience processing and modeling at programmatic data scale: high-cardinality auction logs, bid stream data, impression and click events.
• Experimentation rigor: Strong grasp of causal inference and experiment design in online, delayed-feedback environments (auction holdouts, switchback tests, variance reduction techniques).
• Communication: Ability to explain complex modeling decisions and tradeoffs to Product and business stakeholders; comfortable presenting in cross-functional forums.
• Education: Bachelor's in a quantitative field (CS, Statistics, Math, Engineering, Economics, or similar); Master's/PhD preferred.

Preferred / Nice to Have

• Direct experience with SSP, DSP, or exchange-side yield optimization — particularly floor price optimization, bid landscape modeling, or deal matching algorithms.
• Familiarity with auction theory (first-price vs. second-price dynamics, optimal reserve pricing, revenue equivalence) and its practical implications for programmatic ML.
• Experience with contextual bandits, multi-armed bandits, or reinforcement learning applied to real-time decisioning problems.
• Knowledge of online learning and adaptive algorithms in production environments with non-stationary data distributions.
• Familiarity with privacy-preserving ML techniques relevant to programmatic (differential privacy, federated learning, cookieless attribution modeling).
• Experience with GCP tools (BigQuery, Vertex AI, Dataflow, Pub/Sub) and/or Databricks/Spark for large-scale event processing and model training.
• Exposure to supply forecasting, inventory management, or capacity planning in programmatic or marketplace contexts.
• Familiarity with Impact's affiliate and partnership ecosystem, or prior experience at the intersection of performance marketing and programmatic delivery.

What Sets You Apart

• Marketplace intuition. You understand programmatic auctions not just as an engineer but as an economist — you think about incentive structures, equilibrium dynamics, and how model decisions ripple through the supply-demand stack.
• Full-stack ML ownership. You're as comfortable designing a feature store schema as you are tuning a gradient boosting model or debugging a latency spike in production. You own the whole chain.
• Feedback loop thinking. You don't just deploy models — you design the systems that make them smarter over time. You think about how today's decisions become tomorrow's training signal.
• Rigor under real-world constraints. You know how to run clean experiments in environments where feedback is delayed, data is noisy, and business pressures create tradeoffs. You don't let imperfect conditions become an excuse for imprecise thinking.
• Pragmatic delivery. You ship. You balance the perfect with the production-ready, iterate fast, and know when an MVP outperforms a six-month research project.
• Collaborative depth. You build genuine technical trust with engineering and product partners — not just by having good ideas, but by following through, communicating clearly, and making the integration easy.

Salary Range: $165,000 - $185,000 per year, plus an additional 5% variable annual bonus contingent on Company performance and eligible to receive a Restricted Stock Unit (RSU) grant.

*This is the pay range the Company believes is equitable for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time.

Benefits and Perks: 

At impact.com, we believe that when you’re happy and fulfilled, you do your best work. That’s why we’ve built a benefits package that supports your well-being, growth, and work-life balance.

• Strong extended health benefits: Health & Prescription coverage, vision and dental care, virtual health care, out-of-country medical coverage
• Insurance coverage (life, short-term disability, long-term disability, and more)
• Health Care Spending Account
• Two different Employee Assistance Programs
• Flexible Working: Our Responsible PTO policy means you can take the time off you need to rest and recharge. We're committed to a positive work-life balance and provide a flexible environment that allows you to be happy and fulfilled in both your career and your personal life.
• Health and Wellness: Your well-being is a priority. Our mental health and wellness benefit includes up to 12 fully covered therapy/coaching sessions per year, with additional dependent coverage. We also offer a monthly gym reimbursement policy to support your physical health.
• A Stake in Our Growth: We offer Restricted Stock Units (RSUs) as part of our total compensation, giving you a stake in the company's growth with a 3-year vesting schedule, pending Board approval.
• Investing in Your Growth: We’re committed to your continuous learning. Take advantage of our free Coursera subscription and our PXA courses.
• Parental Support: We offer a generous parental leave policy, 26 weeks of fully paid leave for the primary caregiver and 13 weeks fully paid leave for the secondary caregiver.
• Technology Financial Support: We provide a technology stipend to help you set up your home office and a monthly allowance to cover your internet expenses. 

Note: Benefits may vary by location and are subject to local regulations.

impact.com is proud to be an equal-opportunity workplace. All employees and applicants for employment shall be given fair treatment and equal employment opportunity regardless of their race, ethnicity or ancestry, color or caste, religion or belief, age, sex (including gender identity, gender reassignment, sexual orientation, pregnancy/maternity), national origin, weight, neurodivergence, disability, marital and civil partnership status, caregiving status, veteran status, genetic information, political affiliation, or other prohibited non-merit factors.

#LI_Vancouver_Canada

About impact.com
impact.com is the world’s leading commerce partnership marketing platform, transforming the way businesses grow by enabling them to discover, manage, and scale partnerships across the entire customer journey. From affiliates and influencers to content publishers, brand ambassadors, and customer advocates, impact.com empowers brands to drive trusted, performance-based growth through authentic relationships. Its award-winning products - Performance (affiliate), Creator (influencer), and Advocate (customer referral) - unify every type of partner into one integrated platform. As consumers increasingly rely on recommendations from people and communities they trust, impact.com helps brands show up where it matters most. Today, over 5,000 global brands - including Walmart, Uber, Shopify, Lenovo, L’Oréal, and Fanatics - rely on impact.com to power more than 350,000 partnerships that deliver measurable business results.

Your Role at impact.com:

We're seeking a Senior Data Scientist to serve as an embedded Data Scientist within our Programmatic Experience Group. You'll own the design and deployment of machine learning models that optimize yield, pricing, and inventory allocation at scale — sitting at the intersection of data science, platform engineering, and marketplace economics.

This is a high-craft, high-ownership individual contributor role. You'll work end-to-end: architecting the data pipelines that feed your models, engineering the features that drive performance, and deploying real-time inference systems that make decisions at speed. Your work directly determines how effectively Impact's programmatic marketplace balances advertiser performance with publisher monetization — making this one of the highest-leverage technical roles in the business.

You'll collaborate closely with Product, Data Science, and Programmatic Delivery Engine Engineering, but you operate with significant autonomy. You're expected to bring both the modeling rigor of a data scientist and the production instincts of an ML engineer — and to be genuinely excited about both.

What You'll Do:

Yield Optimization & Pricing Models

• Design and deploy ML models that optimize auction pricing, bid shading, floor price setting, and yield across Impact's programmatic inventory.
• Build and iterate on real-time pricing algorithms that balance short-term revenue efficiency with long-term publisher and advertiser health.
• Develop and maintain feedback loops that allow pricing models to adapt to shifting market conditions, inventory mix, and demand patterns.
• Quantify the revenue impact of pricing model improvements; communicate tradeoffs between yield maximization, fill rate, and partner ROI to stakeholders.

Inventory Allocation & Supply Optimization

• Own ML-driven inventory allocation logic: routing, pacing, and matching supply to demand across partner segments, deal types, and campaign objectives.
• Build models that forecast inventory availability, demand curves, and clearing prices to support proactive allocation decisions.
• Identify and address inefficiencies in inventory utilization — including unsold inventory, suboptimal deal matching, and allocation imbalances across the publisher base.

Data Architecture & Feature Engineering

• Design and own the data infrastructure that feeds programmatic models: event pipelines, feature stores, training datasets, and real-time feature serving.
• Engineer high-signal features from auction logs, bid stream data, user signals, contextual attributes, and historical performance — at the scale of programmatic data volumes.
• Build robust data pipelines with production-grade standards: reliability, observability, versioning, and efficient reprocessing.

Real-Time Inference & Production ML

• Deploy models to production real-time inference environments; own latency, reliability, and throughput requirements for auction-time decision-making.
• Build monitoring systems that track model performance, data drift, and system health in production; define alerting thresholds and retraining triggers.
• Partner with MLOps and Platform Engineering to ensure scalable, low-latency serving infrastructure meets SLOs under high-volume auction traffic.
• Own the full model lifecycle: training, evaluation, deployment, A/B testing, and iteration.

Experimentation & Performance Measurement

• Design and execute rigorous A/B and holdout experiments to measure the causal impact of model changes on yield, fill rate, advertiser performance, and publisher revenue.
• Build evaluation frameworks that go beyond offline metrics — validating model behavior in live auction environments where feedback signals are delayed or noisy.
• Translate experimental results into clear business narratives; present findings and recommendations to Product and business stakeholders.

Self-Learning Systems & Feedback Loops

• Research and implement adaptive, self-learning components within the programmatic stack — including contextual bandits, reinforcement learning signals, and online learning approaches where appropriate.
• Design feedback mechanisms that close the loop between auction outcomes, model updates, and system behavior; reduce reliance on manual tuning and rule-based overrides.
• Stay current with advances in programmatic ML, auction theory, and online optimization; evaluate applicability to Impact's specific marketplace dynamics.

Cross-Functional Collaboration

• Serve as the primary ML technical partner for the Rubicon product and engineering teams; translate business requirements into modeling approaches and communicate technical tradeoffs clearly.
• Collaborate with Data Science peers on shared infrastructure, modeling standards, and cross-domain feature reuse.
• Document models, architectures, and experimental findings to a standard that enables review, replication, and knowledge transfer across teams.

What You Bring:

Required

• Experience: 5+ years in data science, ML engineering, or quantitative research, with at least 2+ years building and deploying ML models in programmatic advertising, ad tech, marketplace optimization, or a closely related domain (e.g., real-time bidding, dynamic pricing, auction systems).
• Programmatic & marketplace depth: Demonstrated understanding of programmatic auction mechanics (RTB, header bidding, floor pricing, deal types, bid shading) and how ML can be applied to optimize outcomes across the supply-demand stack.
• Production ML engineering: Proven ability to take models from prototype to production independently — including real-time inference, monitoring, retraining pipelines, and SLO ownership.
• Data architecture: Experience designing and building data pipelines, feature stores, and training infrastructure for high-volume, low-latency ML systems.
• Technical skills:
• Strong Python and SQL; proficiency with ML libraries (scikit-learn, XGBoost, LightGBM, PyTorch/TensorFlow) and large-scale data tools (Spark, Kafka, or equivalent streaming/batch frameworks).
• Experience with real-time feature serving and low-latency model deployment (REST APIs, gRPC, or streaming inference).
• Familiarity with production ML workflows: model versioning, drift monitoring, A/B testing, evaluation, and retraining.
• Experience processing and modeling at programmatic data scale: high-cardinality auction logs, bid stream data, impression and click events.
• Experimentation rigor: Strong grasp of causal inference and experiment design in online, delayed-feedback environments (auction holdouts, switchback tests, variance reduction techniques).
• Communication: Ability to explain complex modeling decisions and tradeoffs to Product and business stakeholders; comfortable presenting in cross-functional forums.
• Education: Bachelor's in a quantitative field (CS, Statistics, Math, Engineering, Economics, or similar); Master's/PhD preferred.

Preferred / Nice to Have

• Direct experience with SSP, DSP, or exchange-side yield optimization — particularly floor price optimization, bid landscape modeling, or deal matching algorithms.
• Familiarity with auction theory (first-price vs. second-price dynamics, optimal reserve pricing, revenue equivalence) and its practical implications for programmatic ML.
• Experience with contextual bandits, multi-armed bandits, or reinforcement learning applied to real-time decisioning problems.
• Knowledge of online learning and adaptive algorithms in production environments with non-stationary data distributions.
• Familiarity with privacy-preserving ML techniques relevant to programmatic (differential privacy, federated learning, cookieless attribution modeling).
• Experience with GCP tools (BigQuery, Vertex AI, Dataflow, Pub/Sub) and/or Databricks/Spark for large-scale event processing and model training.
• Exposure to supply forecasting, inventory management, or capacity planning in programmatic or marketplace contexts.
• Familiarity with Impact's affiliate and partnership ecosystem, or prior experience at the intersection of performance marketing and programmatic delivery.

What Sets You Apart

• Marketplace intuition. You understand programmatic auctions not just as an engineer but as an economist — you think about incentive structures, equilibrium dynamics, and how model decisions ripple through the supply-demand stack.
• Full-stack ML ownership. You're as comfortable designing a feature store schema as you are tuning a gradient boosting model or debugging a latency spike in production. You own the whole chain.
• Feedback loop thinking. You don't just deploy models — you design the systems that make them smarter over time. You think about how today's decisions become tomorrow's training signal.
• Rigor under real-world constraints. You know how to run clean experiments in environments where feedback is delayed, data is noisy, and business pressures create tradeoffs. You don't let imperfect conditions become an excuse for imprecise thinking.
• Pragmatic delivery. You ship. You balance the perfect with the production-ready, iterate fast, and know when an MVP outperforms a six-month research project.
• Collaborative depth. You build genuine technical trust with engineering and product partners — not just by having good ideas, but by following through, communicating clearly, and making the integration easy.

Salary Range: $165,000 - $185,000 per year, plus an additional 5% variable annual bonus contingent on Company performance and eligible to receive a Restricted Stock Unit (RSU) grant.

*This is the pay range the Company believes is equitable for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time.

Benefits and Perks: 

At impact.com, we believe that when you’re happy and fulfilled, you do your best work. That’s why we’ve built a benefits package that supports your well-being, growth, and work-life balance.

• Medical, Dental, and Vision insurance
• Office-only catered lunch every Thursday, a healthy snack bar, and great coffee to keep you fueled 
• Flexible spending accounts and 401(k)
• Flexible Working: Our Responsible PTO policy means you can take the time off you need to rest and recharge. We're committed to a positive work-life balance and provide a flexible environment that allows you to be happy and fulfilled in both your career and your personal life.
• Health and Wellness: Your well-being is a priority. Our mental health and wellness benefit includes up to 12 fully covered therapy/coaching sessions per year, with additional dependent coverage. We also offer a monthly gym reimbursement policy to support your physical health.
• A Stake in Our Growth: We offer Restricted Stock Units (RSUs) as part of our total compensation, giving you a stake in the company's growth with a 3-year vesting schedule, pending Board approval.
• Investing in Your Growth: We’re committed to your continuous learning. Take advantage of our free Coursera subscription and our PXA courses.
• Parental Support: We offer a generous parental leave policy, 26 weeks of fully paid leave for the primary caregiver and 13 weeks fully paid leave for the secondary caregiver.
• Technology Financial Support: We provide a technology stipend to help you set up your home office and a monthly allowance to cover your internet expenses. 

impact.com is proud to be an equal-opportunity workplace. All employees and applicants for employment shall be given fair treatment and equal employment opportunity regardless of their race, ethnicity or ancestry, color or caste, religion or belief, age, sex (including gender identity, gender reassignment, sexual orientation, pregnancy/maternity), national origin, weight, neurodivergence, disability, marital and civil partnership status, caregiving status, veteran status, genetic information, political affiliation, or other prohibited non-merit factors.

#LI_NewYork_NewYork

Build the Path Forward

Path Robotics is redefining what's possible in autonomous welding. Our AI-powered robotic welding systems use advanced sensing and computer vision to adapt in real time. We're building the future of manufacturing, and we're looking for engineers who want to get their hands dirty doing it.

We're looking for an Electrical Hardware Engineer with a strong foundation in PCB design and electrical systems development. You'll work on the electronics that power mobile robotic welding platforms — from sensor interfaces and motor control to power distribution and embedded communication. This is a role for someone who takes ownership of their designs end to end: from schematic capture through layout, bring-up, and integration into a working system.

What You'll Do

• Design and develop PCBs for embedded control, power management, motor drive, and sensor interfacing in robotic systems
• Own designs from schematic capture through layout, fabrication, assembly, and hardware validation
• Specify and select components with attention to availability, cost, reliability, and fit within the broader electrical architecture
• Define and validate electrical interfaces between custom PCBs, off-the-shelf modules, actuators, and sensing hardware
• Develop and execute hardware test plans; debug boards at the bench and support integration with firmware and software teams
• Maintain design documentation, schematics, and BOMs in version-controlled workflows
• Work with contract manufacturers and PCB fabricators to ensure designs are manufacturable and yield-friendly
• Support field investigations and drive design improvements based on reliability findings

Who You Are 

Required

• 3–6 years of hardware engineering experience in a product development environment
• Proficiency in a professional EDA tool for schematic capture and PCB layout
• Experience designing multi-layer PCBs with mixed-signal, power, and high-speed digital content
• Familiarity with common embedded communication protocols (SPI, I2C, UART, CAN, Ethernet)
• Working knowledge of power electronics — motor drive, DC-DC conversion, power sequencing, and protection circuits
• Ability to bring up and debug hardware independently using standard lab equipment (oscilloscope, DMM, logic analyzer)

Why You’ll Love Working Here

• Competitive salary and equity in a well-funded, high-growth robotics company
• Comprehensive health, dental, and vision benefits
• 401(k)
• Flexible PTO
• Hands-on, collaborative culture

*Path Robotics is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.*

Who We Are

.

Toast Retail is our newest and most significant investment in the future of commerce. Launched in January 2025, Toast for Retail is poised to revolutionize the retail industry by providing an all-in-one operating system for retailers to manage every aspect of their business. Our initial focus is on landing key customers in the CPG space. Toast for Retail empowers these businesses to streamline operations, optimize inventory, enhance the customer experience, and ultimately drive growth.

Role Overview

As the Regional Vice President you will lead a dynamic field sales team that’s transforming how retailers operate. You’ll oversee a group of field-based District Sales Managers and Territory Account Executives across a defined region, driving performance against key goals including unit sales, revenue, employee engagement (eNPS), and customer satisfaction (cNPS). In this role, you’ll be responsible for hiring, onboarding, and continuously developing your team through coaching, support, and performance management—empowering each person to achieve and surpass growth. Beyond a deep understanding of omni-channel journeys, you bring a disciplined, data-first approach to demand generation and pipeline health, ensuring every marketing dollar is an optimized investment toward our aggressive retail growth targets.

Territory Scope:  Major metropolitan hubs including the Michigan corridor, the Ohio River Valley, upstate NY, and the Tennessee/Alabama corridor.

This leader will demonstrate excellence across three core competency areas, along with their associated capabilities:

• Operational Excellence
• Talent identification
• Analytical skills
• Tactical execution & process delivery
• Financial deliverables
• Problem solving, innovation and creativity

• Strategic Thinking
• Strategic vision and planning
• Effective decision making and judgement
• Overall business acumen
• Continuous improvement cycling

• Advanced Leadership
• Coaching/Mentoring
• Communication (written & verbal)
• Interpersonal savvy
• Building culture, morale and team motivation
• Talent development

 A day in the life (Responsibilities) 

• Develop & lead a comprehensive Retail Marketing strategy that drives acquisition, engagement and revenue across retail customers
• Ensure all retail marketing strategies are aligned with revenue goals, owning full-funnel performance and metrics from lead generation to conversion and retention in close partnership with Sales, Product and Finance
• Build the operating model, analytics capabilities, measurement frameworks and data infrastructure to optimize funnel performance and confidently forecast demand and outcomes
• Champion best practices in multi-channel marketing - including digital advertising, organic content, email, field/partner programs and local campaigns - to reach and convert retail business owners
• Partner as a core member of the Retail Leadership Team to architect unified go-to-market programs; you will collaborate across the entire Retail ecosystem - from Product & Engineering to Sales & Customer Success - to ensure marketing strategies are seamlessly embedded throughout the merchant lifecycle
• Partner with the core Marketing organization to leverage global scale across brand identity, joint funnels and shared data infrastructure; you will work cross-functionally to collaborate on performance marketing best practices that drive vertical efficiency and full-funnel optimization

What you'll need to thrive (Requirements)

• 5+ years of B2B technology sales leadership experience including at least 3 years directly leading managers of quota-carrying sales teams
• Proven ability to operate effectively at both strategic and hands-on execution levels
• Clear perspective on sales methodologies and their application in dynamic environments
• Commitment to frontline enablement, with attention to detail and a passion for team success
• Experience in building and scaling sales in emerging markets or with new product categories
• Strong collaborator with a track record of fostering a results-driven, inclusive, and team-oriented culture
  Proficiency in sales funnel management and applying data to drive operational excellence
• Background in the retail or point-of-sale (POS) industry is a plus

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy 
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

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