Job Summary

Role and Responsibilities

• Deliver an excellent customer experience in all interactions
• Resolve new and escalated service tickets, provide guidance for or personally resolve aging and complex issues
• Troubleshoot and resolve client emergencies with minimal oversight, escalating to senior engineering resources where necessary
• Serve as an escalation point to mentor and coach team members
• Assist clients with the design and implementation, installation, configuration and ongoing usability of desktop computers, mobile devices, peripheral equipment, telephony systems, servers, storage, networking and software
• Work with vendor representatives to resolve software and hardware issues
• Install and/or upgrade Microsoft Windows Server Operating Systems
• Perform advanced virus, malware and ransomware mediation
• Provide professional quality server room cable management
• Responsible for creating and maintaining high quality, detailed documentation 
• Resolve backup issues and perform restore testing
• Install, configure, support complex virtual environments with High Availability in VMWare ESXi and Hyper-V environments
• Work with clients to harden security posture through policy and advanced technologies according to Abacus standards and processes
• Communicate with clients as required:  Keeping them informed of incident progress, notifying them of impending changes or agreed upon outages
• Take part in after hours
• On Call rotation as needed – must have a minimum of 6 months experience at Abacus and have supervisor approval before joining rotation.
• Accountable for continued customer satisfaction and coordinates all activities with the client, assists with client training while representing Abacus in a professional manner
• Perform on-site technical and customer service support, to include:
  • Emergency/unscheduled repairs of clients’ on-site technical systems and equipment
  • Performs scheduled maintenance and repairs of clients’ technical systems and equipment
  • Network switch and server room cable management
  • Diagnoses, troubleshoots, repairs, and debugs complex technical and computer systems, and software
  • Follow standard procedures to isolate and fix problems in malfunctioning equipment or software.
  • Performs routine cleanup of client network closets including labeling, removal of unneeded equipment, and updating of documentation
• Demonstrate proficiency in reporting activities, maintaining local spare parts inventories, recording time and travel expense records and client log records
• Exhibit adaptability and is willing to alter shifts and job requirements to meet the needs of clients and Abacus
• Comply with all safety requirements, including but not limited to: completing all required training, following all guidance provided in Abacus policies, procedures, field guidelines, reporting requirements, and technical advisories.  Demonstrates a pro-active approach toward safety, health, and quality in compliance with all Company, governmental and customer requirements
• Lead teams on standard projects (i.e. system migrations, virtual server configurations, server and firewall installations, office setups and moves, VPN tunnel configurations)
• Participate in project planning, solution delivery, mentoring and teaching improved processes to team members
• Follow Abacus’s defined processes, policies, service delivery standards 
• All other duties assigned.

Qualifications and Education Requirements

• Associates degree in technology related field OR equivalent combination of education and work experience
• A minimum of 3+ years of experience in IT Support, working in Microsoft Environments
• Required certifications:  Network +, Server +, Windows Server 70-410, 98-365 or equivalent
• Complete other technical and professional development as outlined in development plan
• Understanding of Windows 2016/2012/2008 servers, Active Directory, SQL, Sharepoint, Exchange Servers, Backup Technologies, Internet/DNS/E-mail/Communication issues
• Knowledge of VMWare, Citrix, VPN and Terminal Services
• Knowledge of VoIP, voicemail, analog, and vendor specific hardware/software
• MSP specific experience strongly desired
• Excellent problem solving and client relationship skills
• Excellent verbal and written communication skills
• Ability to learn and retain new technology skills and troubleshooting processes, team player, maintain calm and present yourself professionally in high stress situations.

Job Summary

Role and Responsibilities

• Deliver an excellent customer experience in all interactions
• Resolve new and escalated service tickets, provide guidance for or personally resolve aging and complex issues
• Troubleshoot and resolve client emergencies with minimal oversight, escalating to senior engineering resources where necessary
• Serve as an escalation point to mentor and coach team members
• Assist clients with the design and implementation, installation, configuration and ongoing usability of desktop computers, mobile devices, peripheral equipment, telephony systems, servers, storage, networking and software
• Work with vendor representatives to resolve software and hardware issues
• Install and/or upgrade Microsoft Windows Server Operating Systems
• Perform advanced virus, malware and ransomware mediation
• Provide professional quality server room cable management
• Responsible for creating and maintaining high quality, detailed documentation 
• Resolve backup issues and perform restore testing
• Install, configure, support complex virtual environments with High Availability in VMWare ESXi and Hyper-V environments
• Work with clients to harden security posture through policy and advanced technologies according to Abacus standards and processes
• Communicate with clients as required:  Keeping them informed of incident progress, notifying them of impending changes or agreed upon outages
• Take part in after hours
• On Call rotation as needed – must have a minimum of 6 months experience at Abacus and have supervisor approval before joining rotation.
• Accountable for continued customer satisfaction and coordinates all activities with the client, assists with client training while representing Abacus in a professional manner
• Perform on-site technical and customer service support, to include:
  • Emergency/unscheduled repairs of clients’ on-site technical systems and equipment
  • Performs scheduled maintenance and repairs of clients’ technical systems and equipment
  • Network switch and server room cable management
  • Diagnoses, troubleshoots, repairs, and debugs complex technical and computer systems, and software
  • Follow standard procedures to isolate and fix problems in malfunctioning equipment or software.
  • Performs routine cleanup of client network closets including labeling, removal of unneeded equipment, and updating of documentation
• Demonstrate proficiency in reporting activities, maintaining local spare parts inventories, recording time and travel expense records and client log records
• Exhibit adaptability and is willing to alter shifts and job requirements to meet the needs of clients and Abacus
• Comply with all safety requirements, including but not limited to: completing all required training, following all guidance provided in Abacus policies, procedures, field guidelines, reporting requirements, and technical advisories.  Demonstrates a pro-active approach toward safety, health, and quality in compliance with all Company, governmental and customer requirements
• Lead teams on standard projects (i.e. system migrations, virtual server configurations, server and firewall installations, office setups and moves, VPN tunnel configurations)
• Participate in project planning, solution delivery, mentoring and teaching improved processes to team members
• Follow Abacus’s defined processes, policies, service delivery standards 
• All other duties assigned.

Qualifications and Education Requirements

• Associates degree in technology related field OR equivalent combination of education and work experience
• A minimum of 3+ years of experience in IT Support, working in Microsoft Environments
• Required certifications:  Network +, Server +, Windows Server 70-410, 98-365 or equivalent
• Complete other technical and professional development as outlined in development plan
• Understanding of Windows 2016/2012/2008 servers, Active Directory, SQL, Sharepoint, Exchange Servers, Backup Technologies, Internet/DNS/E-mail/Communication issues
• Knowledge of VMWare, Citrix, VPN and Terminal Services
• Knowledge of VoIP, voicemail, analog, and vendor specific hardware/software
• MSP specific experience strongly desired
• Excellent problem solving and client relationship skills
• Excellent verbal and written communication skills
• Ability to learn and retain new technology skills and troubleshooting processes, team player, maintain calm and present yourself professionally in high stress situations.

Job Summary

Role and Responsibilities

• Deliver an excellent customer experience in all interactions
• Resolve new and escalated service tickets, provide guidance for or personally resolve aging and complex issues
• Troubleshoot and resolve client emergencies with minimal oversight, escalating to senior engineering resources where necessary
• Serve as an escalation point to mentor and coach team members
• Assist clients with the design and implementation, installation, configuration and ongoing usability of desktop computers, mobile devices, peripheral equipment, telephony systems, servers, storage, networking and software
• Work with vendor representatives to resolve software and hardware issues
• Install and/or upgrade Microsoft Windows Server Operating Systems
• Perform advanced virus, malware and ransomware mediation
• Provide professional quality server room cable management
• Responsible for creating and maintaining high quality, detailed documentation 
• Resolve backup issues and perform restore testing
• Install, configure, support complex virtual environments with High Availability in VMWare ESXi and Hyper-V environments
• Work with clients to harden security posture through policy and advanced technologies according to Abacus standards and processes
• Communicate with clients as required:  Keeping them informed of incident progress, notifying them of impending changes or agreed upon outages
• Take part in after hours
• On Call rotation as needed – must have a minimum of 6 months experience at Abacus and have supervisor approval before joining rotation.
• Accountable for continued customer satisfaction and coordinates all activities with the client, assists with client training while representing Abacus in a professional manner
• Perform on-site technical and customer service support, to include:
  • Emergency/unscheduled repairs of clients’ on-site technical systems and equipment
  • Performs scheduled maintenance and repairs of clients’ technical systems and equipment
  • Network switch and server room cable management
  • Diagnoses, troubleshoots, repairs, and debugs complex technical and computer systems, and software
  • Follow standard procedures to isolate and fix problems in malfunctioning equipment or software.
  • Performs routine cleanup of client network closets including labeling, removal of unneeded equipment, and updating of documentation
• Demonstrate proficiency in reporting activities, maintaining local spare parts inventories, recording time and travel expense records and client log records
• Exhibit adaptability and is willing to alter shifts and job requirements to meet the needs of clients and Abacus
• Comply with all safety requirements, including but not limited to: completing all required training, following all guidance provided in Abacus policies, procedures, field guidelines, reporting requirements, and technical advisories.  Demonstrates a pro-active approach toward safety, health, and quality in compliance with all Company, governmental and customer requirements
• Lead teams on standard projects (i.e. system migrations, virtual server configurations, server and firewall installations, office setups and moves, VPN tunnel configurations)
• Participate in project planning, solution delivery, mentoring and teaching improved processes to team members
• Follow Abacus’s defined processes, policies, service delivery standards 
• All other duties assigned.

Qualifications and Education Requirements

• Associates degree in technology related field OR equivalent combination of education and work experience
• A minimum of 3+ years of experience in IT Support, working in Microsoft Environments
• Required certifications:  Network +, Server +, Windows Server 70-410, 98-365 or equivalent
• Complete other technical and professional development as outlined in development plan
• Understanding of Windows 2016/2012/2008 servers, Active Directory, SQL, Sharepoint, Exchange Servers, Backup Technologies, Internet/DNS/E-mail/Communication issues
• Knowledge of VMWare, Citrix, VPN and Terminal Services
• Knowledge of VoIP, voicemail, analog, and vendor specific hardware/software
• MSP specific experience strongly desired
• Excellent problem solving and client relationship skills
• Excellent verbal and written communication skills
• Ability to learn and retain new technology skills and troubleshooting processes, team player, maintain calm and present yourself professionally in high stress situations.

Job Summary

Role and Responsibilities

• Deliver an excellent customer experience in all interactions
• Resolve new and escalated service tickets, provide guidance for or personally resolve aging and complex issues
• Troubleshoot and resolve client emergencies with minimal oversight, escalating to senior engineering resources where necessary
• Serve as an escalation point to mentor and coach team members
• Assist clients with the design and implementation, installation, configuration and ongoing usability of desktop computers, mobile devices, peripheral equipment, telephony systems, servers, storage, networking and software
• Work with vendor representatives to resolve software and hardware issues
• Install and/or upgrade Microsoft Windows Server Operating Systems
• Perform advanced virus, malware and ransomware mediation
• Provide professional quality server room cable management
• Responsible for creating and maintaining high quality, detailed documentation 
• Resolve backup issues and perform restore testing
• Install, configure, support complex virtual environments with High Availability in VMWare ESXi and Hyper-V environments
• Work with clients to harden security posture through policy and advanced technologies according to Abacus standards and processes
• Communicate with clients as required:  Keeping them informed of incident progress, notifying them of impending changes or agreed upon outages
• Take part in after hours
• On Call rotation as needed – must have a minimum of 6 months experience at Abacus and have supervisor approval before joining rotation.
• Accountable for continued customer satisfaction and coordinates all activities with the client, assists with client training while representing Abacus in a professional manner
• Perform on-site technical and customer service support, to include:
  • Emergency/unscheduled repairs of clients’ on-site technical systems and equipment
  • Performs scheduled maintenance and repairs of clients’ technical systems and equipment
  • Network switch and server room cable management
  • Diagnoses, troubleshoots, repairs, and debugs complex technical and computer systems, and software
  • Follow standard procedures to isolate and fix problems in malfunctioning equipment or software.
  • Performs routine cleanup of client network closets including labeling, removal of unneeded equipment, and updating of documentation
• Demonstrate proficiency in reporting activities, maintaining local spare parts inventories, recording time and travel expense records and client log records
• Exhibit adaptability and is willing to alter shifts and job requirements to meet the needs of clients and Abacus
• Comply with all safety requirements, including but not limited to: completing all required training, following all guidance provided in Abacus policies, procedures, field guidelines, reporting requirements, and technical advisories.  Demonstrates a pro-active approach toward safety, health, and quality in compliance with all Company, governmental and customer requirements
• Lead teams on standard projects (i.e. system migrations, virtual server configurations, server and firewall installations, office setups and moves, VPN tunnel configurations)
• Participate in project planning, solution delivery, mentoring and teaching improved processes to team members
• Follow Abacus’s defined processes, policies, service delivery standards 
• All other duties assigned.

Qualifications and Education Requirements

• Associates degree in technology related field OR equivalent combination of education and work experience
• A minimum of 3+ years of experience in IT Support, working in Microsoft Environments
• Required certifications:  Network +, Server +, Windows Server 70-410, 98-365 or equivalent
• Complete other technical and professional development as outlined in development plan
• Understanding of Windows 2016/2012/2008 servers, Active Directory, SQL, Sharepoint, Exchange Servers, Backup Technologies, Internet/DNS/E-mail/Communication issues
• Knowledge of VMWare, Citrix, VPN and Terminal Services
• Knowledge of VoIP, voicemail, analog, and vendor specific hardware/software
• MSP specific experience strongly desired
• Excellent problem solving and client relationship skills
• Excellent verbal and written communication skills
• Ability to learn and retain new technology skills and troubleshooting processes, team player, maintain calm and present yourself professionally in high stress situations.

Job Summary

Role and Responsibilities

• Deliver an excellent customer experience in all interactions
• Resolve new and escalated service tickets, provide guidance for or personally resolve aging and complex issues
• Troubleshoot and resolve client emergencies with minimal oversight, escalating to senior engineering resources where necessary
• Serve as an escalation point to mentor and coach team members
• Assist clients with the design and implementation, installation, configuration and ongoing usability of desktop computers, mobile devices, peripheral equipment, telephony systems, servers, storage, networking and software
• Work with vendor representatives to resolve software and hardware issues
• Install and/or upgrade Microsoft Windows Server Operating Systems
• Perform advanced virus, malware and ransomware mediation
• Provide professional quality server room cable management
• Responsible for creating and maintaining high quality, detailed documentation 
• Resolve backup issues and perform restore testing
• Install, configure, support complex virtual environments with High Availability in VMWare ESXi and Hyper-V environments
• Work with clients to harden security posture through policy and advanced technologies according to Abacus standards and processes
• Communicate with clients as required:  Keeping them informed of incident progress, notifying them of impending changes or agreed upon outages
• Take part in after hours
• On Call rotation as needed – must have a minimum of 6 months experience at Abacus and have supervisor approval before joining rotation.
• Accountable for continued customer satisfaction and coordinates all activities with the client, assists with client training while representing Abacus in a professional manner
• Perform on-site technical and customer service support, to include:
  • Emergency/unscheduled repairs of clients’ on-site technical systems and equipment
  • Performs scheduled maintenance and repairs of clients’ technical systems and equipment
  • Network switch and server room cable management
  • Diagnoses, troubleshoots, repairs, and debugs complex technical and computer systems, and software
  • Follow standard procedures to isolate and fix problems in malfunctioning equipment or software.
  • Performs routine cleanup of client network closets including labeling, removal of unneeded equipment, and updating of documentation
• Demonstrate proficiency in reporting activities, maintaining local spare parts inventories, recording time and travel expense records and client log records
• Exhibit adaptability and is willing to alter shifts and job requirements to meet the needs of clients and Abacus
• Comply with all safety requirements, including but not limited to: completing all required training, following all guidance provided in Abacus policies, procedures, field guidelines, reporting requirements, and technical advisories.  Demonstrates a pro-active approach toward safety, health, and quality in compliance with all Company, governmental and customer requirements
• Lead teams on standard projects (i.e. system migrations, virtual server configurations, server and firewall installations, office setups and moves, VPN tunnel configurations)
• Participate in project planning, solution delivery, mentoring and teaching improved processes to team members
• Follow Abacus’s defined processes, policies, service delivery standards 
• All other duties assigned.

Qualifications and Education Requirements

• Associates degree in technology related field OR equivalent combination of education and work experience
• A minimum of 3+ years of experience in IT Support, working in Microsoft Environments
• Required certifications:  Network +, Server +, Windows Server 70-410, 98-365 or equivalent
• Complete other technical and professional development as outlined in development plan
• Understanding of Windows 2016/2012/2008 servers, Active Directory, SQL, Sharepoint, Exchange Servers, Backup Technologies, Internet/DNS/E-mail/Communication issues
• Knowledge of VMWare, Citrix, VPN and Terminal Services
• Knowledge of VoIP, voicemail, analog, and vendor specific hardware/software
• MSP specific experience strongly desired
• Excellent problem solving and client relationship skills
• Excellent verbal and written communication skills
• Ability to learn and retain new technology skills and troubleshooting processes, team player, maintain calm and present yourself professionally in high stress situations.

Job Summary

Role and Responsibilities

• Deliver an excellent customer experience in all interactions
• Resolve new and escalated service tickets, provide guidance for or personally resolve aging and complex issues
• Troubleshoot and resolve client emergencies with minimal oversight, escalating to senior engineering resources where necessary
• Serve as an escalation point to mentor and coach team members
• Assist clients with the design and implementation, installation, configuration and ongoing usability of desktop computers, mobile devices, peripheral equipment, telephony systems, servers, storage, networking and software
• Work with vendor representatives to resolve software and hardware issues
• Install and/or upgrade Microsoft Windows Server Operating Systems
• Perform advanced virus, malware and ransomware mediation
• Provide professional quality server room cable management
• Responsible for creating and maintaining high quality, detailed documentation 
• Resolve backup issues and perform restore testing
• Install, configure, support complex virtual environments with High Availability in VMWare ESXi and Hyper-V environments
• Work with clients to harden security posture through policy and advanced technologies according to Abacus standards and processes
• Communicate with clients as required:  Keeping them informed of incident progress, notifying them of impending changes or agreed upon outages
• Take part in after hours
• On Call rotation as needed – must have a minimum of 6 months experience at Abacus and have supervisor approval before joining rotation.
• Accountable for continued customer satisfaction and coordinates all activities with the client, assists with client training while representing Abacus in a professional manner
• Perform on-site technical and customer service support, to include:
  • Emergency/unscheduled repairs of clients’ on-site technical systems and equipment
  • Performs scheduled maintenance and repairs of clients’ technical systems and equipment
  • Network switch and server room cable management
  • Diagnoses, troubleshoots, repairs, and debugs complex technical and computer systems, and software
  • Follow standard procedures to isolate and fix problems in malfunctioning equipment or software.
  • Performs routine cleanup of client network closets including labeling, removal of unneeded equipment, and updating of documentation
• Demonstrate proficiency in reporting activities, maintaining local spare parts inventories, recording time and travel expense records and client log records
• Exhibit adaptability and is willing to alter shifts and job requirements to meet the needs of clients and Abacus
• Comply with all safety requirements, including but not limited to: completing all required training, following all guidance provided in Abacus policies, procedures, field guidelines, reporting requirements, and technical advisories.  Demonstrates a pro-active approach toward safety, health, and quality in compliance with all Company, governmental and customer requirements
• Lead teams on standard projects (i.e. system migrations, virtual server configurations, server and firewall installations, office setups and moves, VPN tunnel configurations)
• Participate in project planning, solution delivery, mentoring and teaching improved processes to team members
• Follow Abacus’s defined processes, policies, service delivery standards 
• All other duties assigned.

Qualifications and Education Requirements

• Associates degree in technology related field OR equivalent combination of education and work experience
• A minimum of 3+ years of experience in IT Support, working in Microsoft Environments
• Required certifications:  Network +, Server +, Windows Server 70-410, 98-365 or equivalent
• Complete other technical and professional development as outlined in development plan
• Understanding of Windows 2016/2012/2008 servers, Active Directory, SQL, Sharepoint, Exchange Servers, Backup Technologies, Internet/DNS/E-mail/Communication issues
• Knowledge of VMWare, Citrix, VPN and Terminal Services
• Knowledge of VoIP, voicemail, analog, and vendor specific hardware/software
• MSP specific experience strongly desired
• Excellent problem solving and client relationship skills
• Excellent verbal and written communication skills
• Ability to learn and retain new technology skills and troubleshooting processes, team player, maintain calm and present yourself professionally in high stress situations.

BASE SALARY: $150,000 to $190,000 per year, paid semi-monthly

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

TOTAL COMPENSATION

Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments.

BASE SALARY: $150,000 to $190,000 per year, paid semi-monthly

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

TOTAL COMPENSATION

Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments.

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 are looking for a skilled Backend Engineer with strong experience in Go (Golang) to help design and build high-performance, scalable backend services. You'll work closely with our infrastructure and product teams to develop APIs, optimize throughput, and design distributed systems that power our large-scale application. We are composed of highly cohesive and loosely coupled teams to maximize productivity and encourage ingenuity. At impact.com you will not be just another cog in the machine. You will be a key contributor, able to let your ideas and talents flourish, striving towards building better software!

What You'll Do:

• Design, build, and maintain high-throughput, low-latency backend services using Golang
• Architect and implement scalable server-side systems capable of handling millions of requests per day
• Collaborate on system design, API design, and data modeling
• Write clean, efficient, and testable code with attention to performance and reliability
• Participate in code reviews, design discussions, and performance tuning
• Work closely with DevOps to deploy and monitor production systems (GCP preferred)
• Investigate and resolve complex performance and scalability issues

What You Bring:

• 5+ years of professional experience developing backend systems in Golang
• Strong understanding of server-side development, concurrency, and network I/O
• Proven experience with system design and distributed systems concepts
• Experience building Ad Server solutions
• Experience building or maintaining high-throughput / low-latency systems
• Proficiency in RESTful APIs, JSON, and related web technologies
• Working knowledge of SQL databases as well as NoSql (Aerospike)
• Ability to quickly connect technology with business context  

Nice to Have:

• Experience with Google Cloud Platform (GCP)
• Familiarity with Kafka or other streaming/message-queue systems
• Knowledge of microservices architectures and containerized deployments (Docker, Kubernetes)
• Understanding of performance profiling, tracing, and distributed monitoring

Salary Range: $120,000 - $150,000 USD 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-Hybrid

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 are looking for a highly analytical and business-minded FP&A Manager to help scale the financial operating system of the company. This role will act as a strategic partner to company leadership and own core planning, performance management, and decision-support processes across the organization. You will help translate operational complexity into financial clarity and ensure disciplined execution as the business scales.

This is an ideal role for someone who thrives in ambiguity, enjoys building from scratch, and wants to materially influence how a fast-growing robotics company allocates capital and executes strategy.

What You’ll Do

• Own the Financial Operating Cadence

  • Lead the company forecasting process (weekly outlooks, monthly forecast, annual plan, and long-range model)
  • Establish scalable planning and reporting processes across departments
  • Drive monthly business reviews and performance accountability across functional leaders
  • Develop and maintain KPI frameworks that connect operational metrics to financial outcomes
  • Improve reporting efficiency by incorporating automation and AI-assisted workflows into recurring finance processes

  Strategic Decision Partner

  • Partner with Product, Engineering, Operations, and GTM leadership to evaluate investments, capacity decisions, and pricing strategy
  • Evaluate ROI of major initiatives including deployments, product development, and expansion efforts
  • Translate business strategy into financial models that guide resource allocation
  • Identify risks and opportunities early and drive corrective actions with stakeholders

  Modeling & Analysis

  • Own the company operating model and scenario planning framework
  • Build models supporting fundraising, capital planning, and board decision-making
  • Perform deep dive analyses into margins, unit economics, utilization, and scaling efficiency
  • Deliver clear narratives from complex data to executive leadership

  Executive & Investor Support

  • Support preparation of Board and investor materials
  • Partner with the VP Finance and CEO on financial storytelling and performance communication
  • Help define operating targets and ensure the organization is aligned to them

  Build Scalable Infrastructure

  • Improve systems, reporting automation, and data quality across finance and operations
  • Leverage modern tooling (including AI-enabled analysis and workflow automation) to reduce manual work and increase decision speed
  • Implement processes that increase accountability and visibility across teams
  • Mentor junior analysts and help establish best practices for financial rigor

Who You Are

• 5–8 years of experience in FP&A, investment banking, consulting, or strategic finance
• Experience operating as a business partner to senior stakeholders
• Strong understanding of financial statements, forecasting, and operating drivers
• Advanced modeling skills (complex models, scenario planning, sensitivity analysis)
• Comfortable adopting new tools and improving workflows through automation and AI assistance
• Able to move between high-level strategy and detailed execution
• Clear communicator who can influence without authority
• Comfortable working in ambiguity and building structure where it doesn’t exist
• Strong ownership mindset — you proactively identify problems and solve them

Preferred Experience

• High-growth startup, SaaS, robotics, or manufacturing environment
• ERP / planning systems (NetSuite, DataRails, etc.)
• SQL, BI tools, or data analytics experience

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

At Path Robotics we love coming to work to solve interesting and tough challenges but also because our ideas are welcomed and valued. We encourage unique thinking and are dedicated to creating a diverse and inclusive environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

If you require a reasonable accommodation to participate in the application process or any part of the hiring process, please contact HR@path-robotics.com. We are committed to providing equal access and will work with qualified individuals to ensure a fair and accessible hiring experience. We will respond to your request within 48 hours.

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.

You will play a mission-critical role in architecting our data platform, enabling our machine learning and robotics teams to move faster, experiment more effectively, and deploy AI solutions into production.

This is a founding-level opportunity to lay the groundwork for our entire data infrastructure and build the data team. Reporting to the Director of AI, you’ll collaborate with a talented team of machine learning engineers and software engineers to deliver clean, reliable, and scalable data pipelines that fuel experimentation, production models, and cutting-edge AI development.

What You’ll Do

• Architect and build our end-to-end data platform, including ingestion, transformation, orchestration, quality monitoring, and data access layers.
• Lead initiatives that break down data silos and enable seamless collaboration between business domains
• Design and develop optimized database architecture and data schemas with strategic partitioning for large scale multi-modal data.
• Implement scalable ETL/ELT pipelines that serve experimentation, training, validation, and real-time deployment needs across robotics and AI systems.
• Collaborate with ML and robotics engineers to define and deliver the data infrastructure required for cutting-edge model development and real-world deployment.
• Establish data governance, reproducibility, and lineage standards to ensure data integrity and traceability at scale.
• Develop data contracts and API specifications to ensure reliable data exchange between robotics systems, ML models, and downstream applications.
• Write production-grade, maintainable, and well-documented Python and SQL code for critical data workflows.
• Help shape our MLOps, observability, and CI/CD practices for continuous learning systems in physical environments.

Who You Are

• 5+ years of experience in data engineering, with a strong track record of building scalable data systems and infrastructure from the ground up.
• Previous experience supporting AI/ML teams with data platforms in fast-paced or startup environments.
• Deep proficiency in SQL, Python, and distributed data systems.
• Hands-on experience with tools like AWS, Snowflake, Dagster, dbt, or equivalent modern data stack.
• Experience with streaming technologies such as Kafka, Flink, or similar platforms for real-time data processing.
• Passionate about building clean, reliable data pipelines that power real-time ML and robotics workflows.
• Experience with data quality, observability, and production monitoring of data systems.
• Comfortable operating in ambiguity and taking ownership. You’re excited to build and own the foundation of a data-first company.
• Bonus: experience working with sensor data, robotics logs, time series, or other high-volume real-world datasets.

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

Regulatory and Compliance Requirements
This position may support work performed under U.S. Government contracts and requires compliance with applicable federal regulations, including FAR and DFARS where applicable.
The role may involve access to export-controlled information subject to ITAR and/or EAR. Candidates must be able to comply with U.S. export control regulations, which may include meeting the definition of a “U.S. Person” where required.
This position may also involve handling Controlled Unclassified Information (CUI) and requires adherence to company and federal data protection and confidentiality standards. Employment may be contingent upon successful completion of a background check consistent with applicable requirements.

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

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 225,000 partnerships that deliver measurable business results.

Your Role at impact.com:

As a Technical Services Engineer III, you will build a deep understanding of impact.com’s technology and platform capabilities, supporting clients throughout the full lifecycle, from initial integration through post-launch optimization and ongoing support. You will design, implement, and support technical solutions across our SaaS platform, helping ensure reliability, scalability, and long-term success.

Working closely with Onboarding, Client Success, Product, Engineering, and other internal teams, you will partner directly with client business and technical stakeholders to guide integrations, troubleshoot complex technical issues, and provide ongoing guidance on best practices. In this role, you will sit at the center of the technical challenges impacting our client base, using your expertise to diagnose issues, drive resolutions, and continuously improve the client experience after go-live.

What You'll Do:

• Develop and maintain a deep understanding of impact.com’s products, platform capabilities, and enhancements, while staying current with relevant industry trends.
• Support the design, implementation, and ongoing management of technical integrations for both new and existing clients across the impact.com platform, including troubleshooting, optimization, and maintenance.
• Partner closely with Onboarding, Customer Success, Product, Engineering, Solutions, and other internal teams to deliver a seamless onboarding experience and strong post-launch support.
• Take end-to-end ownership of client technical issues, from initial investigation and root cause analysis through resolution and clear, timely communication.
• Manage incoming technical requests through ticketing systems, prioritizing effectively in a fast-paced environment.
• Identify emerging or recurring issues and communicate trends, risks, and insights to management and cross-functional stakeholders.
• Contribute to the creation and maintenance of technical documentation, integration guides, training materials, and help content for both clients and internal teams.
• Identify, scope, and help develop internal tools or reports that improve troubleshooting workflows or enable other teams across the organization.

What You Bring:

• Bachelor’s degree in Computer Science, Engineering, Science, Mathematics, or a related discipline, or equivalent practical experience.
• Experience in a tech-focused role at a digital marketing or technology-driven company, preferably in a customer-facing capacity.
• Strong understanding of the design, implementation, and support of client solutions on SaaS platforms.
• Experience with web technologies such as HTML, CSS, JavaScript, SQL, REST APIs, FTP, and related tools.
• Ability to analyze logs and data to troubleshoot issues, including writing SQL queries when applicable.
• Familiarity with affiliate marketing or the broader digital marketing ecosystem is a plus.
• Excellent problem-solving and troubleshooting skills, with the ability to think critically and navigate complex technical challenges.
• Clear, confident verbal and written communication skills in English, with the ability to explain technical concepts to both technical and non-technical audiences using a calm, constructive, and customer-centric approach.
• A self-starter mindset with curiosity and a desire to continuously learn, improve processes, and step outside of your comfort zone.
• Strong organizational skills, attention to detail, and the ability to prioritize effectively in a dynamic environment.

Salary Range: $80,000 - $100,000 per year, plus additional 5% variable annual bonus contingent on Company performance and eligible to receive 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.

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 225,000 partnerships that deliver measurable business results.

Your Role at impact.com:

As a Manager, Technical Services, you will lead and actively contribute to a high-performing team responsible for supporting clients across the full technical lifecycle, from integration through post-launch optimization and ongoing support. This is a highly hands-on role, requiring deep technical expertise alongside strong people leadership, operational rigor, a passion for client service, and a bias for action.

You will work closely with Onboarding, Client Success, Product, Engineering, and other cross-functional partners to ensure technical issues are resolved efficiently, escalations are managed effectively, and system improvements are identified and driven forward. You will set the technical and operational bar for your team, while remaining directly involved in complex client issues, critical integrations, and high-impact initiatives that improve reliability, scalability, and the overall client experience.

What You'll Do:

• Lead, coach, and develop a team of Technical Services Engineers, setting clear expectations around technical quality, responsiveness, and client experience.
• Remain hands-on by actively engaging in complex integrations, escalations, and critical client issues as needed.
• Own the technical support and post-integration experience for clients, ensuring consistent delivery of high-quality outcomes.
• Partner closely with Onboarding, Customer Success, Product, Engineering, and Solutions to align priorities, improve workflows, and close gaps across the client lifecycle.
• Take accountability for end-to-end issue management, including prioritization, root cause analysis, resolution, and stakeholder communication.
• Drive proactive identification of recurring issues, operational bottlenecks, and technical risks, and lead initiatives to address them at scale.
• Establish, refine, and enforce processes, documentation, and best practices that improve efficiency, quality, and predictability.
• Monitor team capacity, ticket volumes, and performance metrics, and adjust resourcing or priorities as needed to meet business demands.
• Contribute to the development of tools, reporting, and internal enablement that improves troubleshooting and empowers partner teams.

What You Bring:

• Bachelor’s degree in Computer Science, Engineering, Science, Mathematics, or a related discipline, or equivalent practical experience.
• Experience in a technical, customer-facing role within a SaaS, digital marketing, or technology-driven environment, including people leadership responsibilities.
• Familiarity with affiliate marketing or the broader digital marketing ecosystem is strongly preferred.
• Strong hands-on technical background, with experience supporting and troubleshooting client integrations on SaaS platforms.
• Proficiency with web technologies such as HTML, CSS, JavaScript, SQL, REST APIs, FTP, and related systems.
• Demonstrated ability to analyze logs, data, and system behavior to diagnose and resolve complex issues.
• Experience leading teams in fast-paced, high-volume support or technical services environments.
• Clear, confident communication skills in English, with the ability to translate complex technical concepts for both technical and non-technical stakeholders in a calm, professional, and solution-oriented manner.
• A proactive, ownership-driven mindset, with the ability to anticipate problems, drive improvements, and lead through ambiguity.
• Strong organizational and prioritization skills, with attention to detail and a focus on execution and outcomes.

Salary Range: $110,000 - $135,000 per year, plus additional 5% variable annual bonus contingent on Company performance and eligible to receive 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

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 225,000 partnerships that deliver measurable business results.

Your Role at impact.com:

As a Lead Technical Services Engineer, you will act as a senior technical authority, mentor, and a critical liaison between clients, Product, and Engineering. You will not only master impact.com’s technology but also guide your peers through their most complex challenges. In addition to leading complex integrations for enterprise clients, you will serve as the primary escalation point for the team, architecting advanced solutions and ensuring that critical issues are resolved with expertise.

You will be a key partner to leadership, helping to shape technical best practices, improve team processes, and drive innovations that improve the platform's scalability and reliability. This role is for a deeply technical expert who is passionate about multiplying their impact by elevating the skills and quality of the entire team.

What You'll Do:

• Lead complex integrations for enterprise clients, creating advanced technical solutions and authoring documentation to ensure their success.
• Own and resolve high-priority escalations from peers and clients, handling critical issues with urgency and implementing tooling or preventive measures to avoid future recurrence.
• Act as a key technical liaison between clients, Product, and Engineering, translating business needs into technical requirements and advocating for platform improvements.
• Mentor, coach, and provide technical guidance to all TSEs, fostering their growth through collaborative problem-solving and by serving as a peer escalation point.
• Innovate to improve platform scalability and reliability by identifying recurring issues, proposing scalable solutions, and leading initiatives to refine team processes.
• Author and maintain advanced troubleshooting documentation and reference materials that serve as a knowledge base for the entire team.
• Collaborate cross-functionally with Onboarding, Customer Success, and other teams to drive strategic improvements across the entire client lifecycle.
• Develop and lead internal training sessions to scale technical knowledge and best practices across the team and partner organizations.

What You Bring:

• Bachelor’s degree in a technical discipline plus approximately 8 years of relevant experience, or an equivalent combination of education and practical experience.
• Deep domain knowledge of the digital marketing ecosystem, SaaS platforms, and customer-facing technical support or services.
• Proven experience acting as a technical lead, mentor, or senior escalation point within a support or services team.
• Expert-level proficiency with web technologies such as HTML, CSS, JavaScript, SQL, REST APIs, FTP, and related tools.
• Demonstrated ability to analyze logs, data, and system behavior to troubleshoot highly complex issues, including writing and optimizing advanced SQL queries.
• Exceptional problem-solving and de-escalation skills, with a talent for navigating ambiguity and architecting creative solutions.
• Clear, confident communication skills, with the ability to act as a liaison and translate complex technical concepts for both technical and non-technical stakeholders.
• A strategic mindset with the ability to anticipate future challenges, proactively drive improvements, and lead through influence.

Salary Range: $95,000 - $120,000 per year, plus additional 5% variable annual bonus contingent on Company performance and eligible to receive 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

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 225,000 partnerships that deliver measurable business results.

Your Role at impact.com:

We're looking for a Data Reliability Analyst with at least two years of experience who can own the investigation of data issues end-to-end. You'll analyze customer data flowing through our integrations, determine whether it makes sense or whether something is off, diagnose root causes, and recommend improvements that make our system more trustworthy. This role requires a balance of statistical thinking, investigative rigor, and product awareness.

You won't just find problems — you'll drive solutions. Your insights will directly feed our product roadmap and shape how we build and improve integrations. Ideal candidates have a background in Mathematics, Statistics, Data Analytics, or a related quantitative field and are comfortable working across data, engineering, product, and customer-facing teams.

What You'll Do:

• Analyze customer data across integrations to determine whether it is accurate, complete, and logically consistent — and flag when it isn't.
• Lead investigations into data discrepancies, distinguishing between source data issues, integration logic errors, and edge cases.
• Diagnose root causes of recurring data problems and document causes, impact, and recommended solutions.
• Translate data issues into actionable product and integration improvement recommendations that feed the roadmap.
• Build or refine dashboards, trend reports, and data reliability KPIs to proactively catch issues before customers do.
• Collaborate with Engineering, Product, and Customer Success teams to prioritize fixes and ensure data consistency and reliability.
• Develop and maintain validation rules, anomaly detection checks, and documentation standards.

What You Bring:

• Bachelor's degree in Statistics, Mathematics, Data Analytics, Business Operations, Information Systems, or a related quantitative field, or relevant work experience.
• Minimum 2 years of experience in data analysis, data quality, operations, or reliability-related roles.
• Strong statistical reasoning and problem-solving skills — able to investigate complex data issues and identify patterns.
• Computer savvy and comfortable using analytical and reporting tools.
• Proficiency in SQL for querying and investigating data.
• Familiarity with data visualization tools (Power BI, Tableau, Looker, etc.).
• Excellent attention to detail and ability to communicate findings clearly to both technical and non-technical stakeholders.

Nice To Have:

• Experience with data quality, data observability, or monitoring platforms.
• Familiarity with APIs, ETL pipelines, or data integration platforms.
• Understanding of common data formats (JSON, XML, CSV) and data exchange protocols.
• Ability to develop reports, dashboards, or validation frameworks independently.
• Experience in a SaaS or B2B technology environment.

Salary Range: $80,000 - $100,000 year, plus an additional 5% variable annual bonus contingent on Company performance with eligibility to receive 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-Hybrid

The Company: 

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: 

As an Integration Engineer, you will be responsible for learning impact.com’s technology and assisting with proposing and implementing technical solutions for our clients on the company’s SaaS platform. Working alongside the Onboarding, Client Success, and other internal teams, you will interact with clients (business and technology), answering questions about the integration process, best practices, and impact.com’s technology, with the goal of getting clients live with their implementations in a timely manner.

What You'll Do:

• Stay current with impact.com’s platform capabilities, product enhancements, and relevant industry trends.
• Support the design and integration of technical solutions for new and existing clients.
• Lead technical discovery and solution discussions to understand client requirements and propose optimal solutions based on client objectives..
• Contribute to the creation and maintenance of technical integration documentation.
• Partner closely with the Onboarding team to deliver a seamless, efficient, and high-quality onboarding experience for clients.
• Troubleshoot and resolve technical issues encountered during the client onboarding process.

What You Bring:

• Self-starter with a focus on creating and/or refining operational processes
• Excellent verbal & written communication in English
• Ability to pair technical expertise with a considerate, customer-centric communication style that maintains a strong interpersonal presence.  This style is calm, constructive, and solution-oriented—while showing patience, empathy, and professionalism when supporting stakeholders of varying technical expertise.
• A proven track record of delivering significant value through the hands-on application of AI to real-world challenges and opportunities, grounded in a sophisticated understanding of its core principles.
• Voracious learner who is willing to be out of their comfort zone
• Natural curiosity leading to a deep understanding of the client’s challenges
• Passion for solving customer issues in a fast paced environment
• Phenomenal problem-solving & troubleshooting skills
• Foundational knowledge and some practical experience in utilizing web technologies including but not limited to HTML, JavaScript, SQL and REST APIs
• Good understanding of the process and challenges involved in the design and implementation of client solutions on SaaS platforms
• Bachelor’s degree in Computer Science, Engineering, Science, Maths or related Science or Commerce discipline
• Proven performance in an Integration Support, Sales Engineering, Software Development or related discipline, preferably in an external customer-facing capacity.
• 0-6+ years working in a tech-focused role at a digital marketing or technology focused company. Familiarity of affiliate and/or digital marketing industry preferred

Salary Range: $65,000.00 - $115,000.00 per year (based on experience), 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 (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

POSITION TITLE: Software Engineering Instructor 

REPORTS TO: Manager Director

LOCATION: Columbus, OH 

WHO WE ARE LOOKING FOR: 

Per Scholas is seeking a Technical Instructor to deliver high-end technical training to underemployed and unemployed community residents for purposes of higher economic development and improvement of quality of life. The Technical Instructor must be self-directed and self-motivated, and comfortable with making intermediate-level decisions to adapt processes and curriculum delivery based on current conditions. The Technical Instructor works in collaboration with peers with learner support and works with the Managing Director to change policies, procedures, and strategic planning. 

WHAT YOU’LL DO: 

• Deliver technology skills training and assessments to prepare students for entry-level to mid-level careers in the field of software development  Daily instruction, assessment administration, attendance, one-on-one tutoring, evaluation, and monitoring of individual student progress 
• Be Adept in learning new software tools, languages, and technologies as needed. 
• Work closely with the team to identify student needs, provide the necessary support, and establish individualized plans for student achievement 
• Tutor students as needed 
• Work with Career Advance team to ensure alumni are completing additional requirement
• Maintain Salesforce database with student scores and attendance 
• Work with Career Advancement team to ensure volunteers from the business community interact with students as classroom speakers, mentors, and small group coaches 
• Work with Career Advancement team to recommend students for particular employment opportunities 
• Monitor student compliance to attendance and other program policies, and address violations with students in a consistent manner. Work with Manager, Career Advancement to ensure documents such as probationary and termination letters are prepared and delivered. 
• Connect students with the resources necessary for them to overcome their individual barriers to maintaining success in school 
• Create, submit and maintain training curricula for approval and school files. 
• Work closely with the Program Design team to create student content on the PS Academy. 
• Instructors will need to commit a few hours per week to preparing lessons and materials, leveraging existing PS curriculum content. 
• Work closely with co-instructors or teaching assistants to provide students with meaningful and prompt feedback on their progress. 

WHAT YOU’LL BRING TO US: 

Professional Requirements 

• You have at least 2+ years of experience working on a software development team.
• You have working experience in both front-end and back-end development, and are fluent in:
• HTML5 and CSS3
• Full-stack JavaScript (strong JavaScript highly preferred)
• At least one JS MV* framework (Angular, Backbone, or React preferred)
• SQL databases (we generally use PostgreSQL)
• NoSQL (we generally cover MongoDB)
• Express/Node.j
• A Bachelor’s (or Master’s) degree in a related field is preferred but not required. 
• Experience with curriculum, syllabus development, and lesson planning.
• Experience with student assessment; and a talent to continuously evaluate the curriculum to identify what is working and what improvements can be made 
• Qualified candidates must be able to comfortably and frequently lift 50lbs

Personal Characteristics 

• You thrive in a creative, inventive, fast-paced startup environment with people who are passionate about their work and mission. 
• You are data-driven, result-oriented and a forward-looking catalyst for social change. 
• You have a collaborative and flexible work style. You’re excited to work cross-functionally with other departments and independently. 
• You are an effective communicator with strong oral and written skills. 
• You are tech savvy and can learn fast. 
• You are strong at managing your time and you can balance multiple projects and tasks. 
• You stand behind our mission, believing that individuals from any community should be able to access well-paying career positions, and that talent should be recognized and recruited from many diverse sources.

For this role specifically, we are targeting a salary of $70,000/year, with a range between $65,000/year and $75,000/year, where the difference in salary is typically determined by several factors, including geography in which the selected candidate resides, and alignment with qualifications and experience.

#LI-Onsite

Who we seek:

We are expanding our Solutions Engineering team. We're always looking for top Engineers to join our winning team. This team works closely with innovative companies interested in leveraging BigID’s platform. You will use your knowledge to influence customer decisions, provide insightful solutions, and drive successful proof-of-value implementations. With your potent technical capabilities, critical and creative thinking, and passion for fast-paced problem-solving, be ready to hit the ground running.

We're seeking someone based in EST.

What you’ll do:

• Work with the Sales team as the technical subject matter expert for BigID’s platform during customer calls and presentations
• Use market and technical knowledge to consult on best practices and offer constructive direction for solution architecture and design
• Stay up-to-date on relevant competitive solutions, products, and services/offerings
• Drive customer success with real-world knowledge and recommendations
• Develop a trusted advisory role with customers, communicating upcoming product changes, enhancements, and serving as an internal voice of the customer
• Work with the post-sales teams to ensure every customer realizes the value of the BigID Platform and continues to contribute to the success of BigID customers

What you’ll bring:

• Interpersonal communication, customer relationship, executive presentation skills
• Excellent organization skills and ability to multitask in a fast-paced startup environment
• Demonstrated ability to address customer needs and provide best practices
• Strong background in Big Data, AI, privacy, data governance, or information security
• Good troubleshooting abilities and a methodical approach
• Ability to describe complex technical concepts to diverse audiences: executives, business stakeholders, and technology practitioners
• Passion for demonstrating solutions and ability to provide technical input during the sales process
• Broad understanding of enterprise data architecture, privacy, and security technologies
• Ability to plan, execute and close out a Proof of Concept with minimal assistance and oversight
• Desire to share knowledge through excellent documentation creation and RFI/RFP responses
• Some prior experience with one or more of the following: RDBMS systems, no-SQL data stores (MongoDB, Cassandra, DynamoDB), Hadoop technologies (such HDFS, Hive, HBase), cloud technologies (AWS EMR, S3, DynamoDB, Redshift, Azure file and blob storage, etc.)
• Prior experience with Identity and Access Management or Data Loss Prevention tools is a plus
• Proficient in Linux and container framework (Docker and Kubernetes)
• Minimum of 3 years in a pre-sales or consulting role within a multinational environment
• Bachelor’s degree in computer science or related discipline (master’s degree a plus)

Our Values:

We look for people who embody our values - Care, Do,Try & Shine.

• Care - We care about our customers and each other
• Do - We do what it takes to make a positive impact
• Try - We try our best and we don’t give up
• Shine - We shine and make it our mission to always stand out

BigBenefits: 

💻 Work from home with a global remote-first community

 Global Culture Corner

 Flexible PTO and Quarterly Volunteer Days

💸 Equity Participation

 100% employer-covered medical, dental, and vision options available to you

🐶 Additional insurance benefits like pet insurance and legal assistance 

📚 Learning & Development Opportunities 

Fidelity Employer Sponsored 401K 

 Paid Parental Leave

The annual base salary range is $135,000 - $150,000. Actual salaries will vary and are based on a candidate’s qualifications, skills, and competencies. Salary is just one component of our Compensation Philosophy. Variable/Bonus Compensation & Equity Incentives align with individual and company performance.

#LI-YD1

#LI-Hybird