What You’ll Do:

You will be a key member of the Infrastructure Operations team, a group responsible for the uptime, reliability, and strategic growth of CoreWeave's physical data center footprint. You will work closely with fellow engineers, data center operations technicians, and management to ensure our facilities meet the highest standards of performance and availability.

About the role: In this role, you will oversee the day-to-day infrastructure operations of our data center facilities, ensuring the robust performance of all mechanical, electrical, and plumbing (MEP) systems. Your responsibilities will include managing preventative and corrective maintenance programs, engaging with colocation vendors to enforce SLAs, and acting as a technical resource during incident response and resolution. You will be a critical voice in ensuring our physical infrastructure scales seamlessly to support CoreWeave's rapid growth, translating hands-on experience into operational excellence.

Who You Are:

• 5+ years of hands-on experience in critical facility operations, with direct experience managing or operating a data center.
• Strong technical understanding of data center MEP infrastructure, including electrical distribution, mechanical cooling systems, and building management/automation systems (BMS/EPMS).
• Demonstrated experience writing and reviewing Root Cause Analysis (RCA) documents for critical incidents.
• Proficiency in analyzing data center redundancy configurations (N, N+1, 2N) and identifying operational risks.
• Familiarity with industry standards and codes such as NEC, NFPA, IEEE, and ASHRAE.
• Experience participating in maintenance, upgrades, and expansions of live data center environments.
• Willingness to travel up to 40% and participate in an on-call rotation for emergency response.

Preferred:

• Experience with data center design or the commissioning (Cx) of critical facilities.
• Experience managing maintenance programs through a preventative maintenance system (CMMS).
• History of successfully insourcing or outsourcing specific maintenance tasks based on operational needs.

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk.

• You love solving complex problems within critical environments and thrive on ensuring everything runs smoothly.
• You’re curious about how to maintain stability and operational excellence amidst rapid scale and technological evolution.
• You’re an expert in hands-on data center operations, translating past experiences (including those middle-of-the-night calls) into proactive improvements.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

The base salary range for this role is $143,000 to $191,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

Coho Consulting Group is seeking a highly skilled Cloud Engineer to support complex IT systems and applications within a Department of Defense (DoD) environment. This role is responsible for delivering expert-level systems analysis, cloud architecture design, and solution implementation while providing strategic technical guidance to program stakeholders and leadership. This is a hybrid-remote position with on-site support required at Fort Meade, MD, Columbus, OH or Ogden, UT.

Responsibilities (include but are not limited to):

• Assess existing DoD cloud and traditional hosting environments to develop integrated, optimized architectures that enhance performance, interoperability, security, and cost-efficiency
• Design, develop, and implement cloud and hybrid-cloud solutions in AWS and/or Azure
• Identify and recommend opportunities for automation and orchestration to support application migration and ongoing operations
• Participate in all phases of the system development lifecycle, including:
• Requirements analysis
• Cloud and hybrid-cloud solution design
• Network architecture design and documentation
• Implementation planning and risk analysis
• Develop clear, comprehensive technical and functional documentation to support system design and operations
• Configure and implement networking services within cloud environments
• Integrate enterprise networking technologies, including Cisco, Juniper, Palo Alto, and F5 solutions
• Collaborate with cross-functional teams, engineers, and stakeholders to ensure successful project delivery
• Provide technical guidance and communicate complex concepts effectively to executive and non-technical audiences

Essential Job Qualifications and Requirements:

• Clearance
• Active Secret Security Clearance

• Education and Certifications:
• Bachelor’s degree in Computer Science, Systems Engineering, Statistics, or a related technical field
• Cisco Certified Network Associate (CCNA) certification (preferred)

• Required Experience and Skills:
  • Proven experience in systems analysis and solution design within DoD environments
  • Demonstrated success with cloud deployments in AWS and/or Azure
  • Hands-on experience implementing and configuring cloud-based networking services
  • Expertise in designing and maintaining Virtual Networks, Virtual Private Clouds (VPCs), and hybrid cloud environments
  • Experience integrating enterprise networking devices and infrastructure

• Additional Requirements
  • Strong analytical and problem-solving skills
  • Excellent written and verbal communication abilities
  • Ability to translate complex technical concepts into clear, actionable insights
  • Strong collaboration and stakeholder engagement capabilities
  • Detail-oriented with a focus on delivering high-quality technical solutions

Coho Consulting Group is seeking a highly skilled Cloud Engineer to support complex IT systems and applications within a Department of Defense (DoD) environment. This role is responsible for delivering expert-level systems analysis, cloud architecture design, and solution implementation while providing strategic technical guidance to program stakeholders and leadership. This is a hybrid-remote position with on-site support required at Fort Meade, Columbus, OH or Ogden, UT.

Responsibilities (include but are not limited to):

• Assess existing DoD cloud and traditional hosting environments to develop integrated, optimized architectures that enhance performance, interoperability, security, and cost-efficiency
• Design, develop, and implement cloud and hybrid-cloud solutions in AWS and/or Azure
• Identify and recommend opportunities for automation and orchestration to support application migration and ongoing operations
• Participate in all phases of the system development lifecycle, including:
• Requirements analysis
• Cloud and hybrid-cloud solution design
• Network architecture design and documentation
• Implementation planning and risk analysis
• Develop clear, comprehensive technical and functional documentation to support system design and operations
• Configure and implement networking services within cloud environments
• Integrate enterprise networking technologies, including Cisco, Juniper, Palo Alto, and F5 solutions
• Collaborate with cross-functional teams, engineers, and stakeholders to ensure successful project delivery
• Provide technical guidance and communicate complex concepts effectively to executive and non-technical audiences

Essential Job Qualifications and Requirements:

• Clearance
• Active Secret Security Clearance

• Education and Certifications:
• Bachelor’s degree in Computer Science, Systems Engineering, Statistics, or a related technical field
• Cisco Certified Network Associate (CCNA) certification (preferred)

• Required Experience and Skills:
  • Proven experience in systems analysis and solution design within DoD environments
  • Demonstrated success with cloud deployments in AWS and/or Azure
  • Hands-on experience implementing and configuring cloud-based networking services
  • Expertise in designing and maintaining Virtual Networks, Virtual Private Clouds (VPCs), and hybrid cloud environments
  • Experience integrating enterprise networking devices and infrastructure

• Additional Requirements
  • Strong analytical and problem-solving skills
  • Excellent written and verbal communication abilities
  • Ability to translate complex technical concepts into clear, actionable insights
  • Strong collaboration and stakeholder engagement capabilities
  • Detail-oriented with a focus on delivering high-quality technical solutions

Coho Consulting Group is seeking an experienced Senior Cloud Engineer to provide expert-level functional and systems analysis for complex IT applications and enterprise environments. This role is responsible for designing, integrating, and implementing scalable cloud and hybrid-cloud solutions while delivering strategic technical guidance to program leadership and customers. The ideal candidate will bring deep expertise in DoD cloud environments, modern infrastructure design, and emerging technologies such as AI integration. This is a hybrid-remote position with on-site support required at Ft. Meade, MD; Columbus, OH; or Ogden, UT.

Responsibilities (include but are not limited to):

• Assess existing DoD cloud and traditional hosting environments to develop integrated architectures that optimize performance, interoperability, security, and cost efficiency
• Lead the design and implementation of automated solutions supporting application migration and ongoing operations
• Architect and support cloud and hybrid-cloud solutions across enterprise environments
• Translate functional requirements into scalable, secure, cloud-enabled architectures
• Conduct implementation planning, including risk analysis and mitigation strategies
• Troubleshoot and resolve complex issues related to application migration, integration, and cloud infrastructure
• Design and support AI-enabled solutions and infrastructure for federal environments
• Develop clear, comprehensive technical and functional documentation
• Collaborate with cross-functional teams, stakeholders, and executive leadership to deliver mission-aligned solutions

Essential Job Qualifications and Requirements:

• Security Clearance:

• Active Secret clearance (required)

• Education and Certifications:
• Bachelor’s degree in Computer Science, Systems Engineering, Statistics, or a related technical field
• Cisco Certified Network Associate (CCNA) certification (preferred)

• Required Experience and Skills:
  • Proven experience in systems analysis and solution design within DoD environments
  • Hands-on experience with cloud platforms such as AWS and/or Azure
  • Demonstrated success deploying and managing cloud-based solutions
  • Experience integrating enterprise networking technologies (Cisco, Juniper, Palo Alto, F5)
  • Strong background in configuring and implementing cloud networking services
  • Experience integrating AI-based solutions within federal or enterprise systems

• Technical Expertise
  • Design and management of:
    • Virtual Networks (VNet)
    • Virtual Private Cloud (VPC) environments
    • Hybrid cloud architectures
  • Cloud migration strategies and execution
  • Infrastructure automation and orchestration

Coho Consulting Group is seeking an experienced Senior Cloud Engineer to provide expert-level functional and systems analysis for complex IT applications and enterprise environments. This role is responsible for designing, integrating, and implementing scalable cloud and hybrid-cloud solutions while delivering strategic technical guidance to program leadership and customers. The ideal candidate will bring deep expertise in DoD cloud environments, modern infrastructure design, and emerging technologies such as AI integration. This is a hybrid-remote position with on-site support required at Ft. Meade, MD; Columbus, OH; or Ogden, UT.

Responsibilities (include but are not limited to):

• Assess existing DoD cloud and traditional hosting environments to develop integrated architectures that optimize performance, interoperability, security, and cost efficiency
• Lead the design and implementation of automated solutions supporting application migration and ongoing operations
• Architect and support cloud and hybrid-cloud solutions across enterprise environments
• Translate functional requirements into scalable, secure, cloud-enabled architectures
• Conduct implementation planning, including risk analysis and mitigation strategies
• Troubleshoot and resolve complex issues related to application migration, integration, and cloud infrastructure
• Design and support AI-enabled solutions and infrastructure for federal environments
• Develop clear, comprehensive technical and functional documentation
• Collaborate with cross-functional teams, stakeholders, and executive leadership to deliver mission-aligned solutions

Essential Job Qualifications and Requirements:

• Security Clearance:

• Active Secret clearance (required)

• Education and Certifications:
• Bachelor’s degree in Computer Science, Systems Engineering, Statistics, or a related technical field
• Cisco Certified Network Associate (CCNA) certification (preferred)

• Required Experience and Skills:
  • Proven experience in systems analysis and solution design within DoD environments
  • Hands-on experience with cloud platforms such as AWS and/or Azure
  • Demonstrated success deploying and managing cloud-based solutions
  • Experience integrating enterprise networking technologies (Cisco, Juniper, Palo Alto, F5)
  • Strong background in configuring and implementing cloud networking services
  • Experience integrating AI-based solutions within federal or enterprise systems

• Technical Expertise
  • Design and management of:
    • Virtual Networks (VNet)
    • Virtual Private Cloud (VPC) environments
    • Hybrid cloud architectures
  • Cloud migration strategies and execution
  • Infrastructure automation and orchestration

At Armis, our Sales Engineers (SE) serve as the linchpin of every prospect engagement. Working closely with our prospects to demonstrate the value of the Armis agentless platform via console demonstrations, proof-of-value deployments, and targeted training sessions.

What you'll do...

Work closely with our prospects to:

• Provide virtual and in-person technical demonstrations
• Deploy proof-of-value installations
• Lead technical training sessions based on POV findings
• Support marketing activities, conferences, speaking engagements
• Consistently and cogently address our prospects needs through astute verbal and written communication skills
• Thrive in a team-oriented culture through delivering a significant individual contribution while collaborating with and strengthening teammates
• Think critically, spanning the sales process through customer support, troubleshooting, and developing new use cases for internal and external consumption.
• Develop prospect facing documentation
• Expected to travel up to 40% of the time on average (can vary by region)

Education:

• BS degrees in computer science, MIS, or equivalent experience required

Experience:

• 5+ years experience in technical positions required (SE, Pre-Sales Engineer, Solutions Architect) ideally for a Cyber Security vendor
• 5+ years of experience in customer-facing or customer support positions
• Solid understanding of networking concepts and technologies
• A demonstrated track record of taking ownership of complex initiatives and producing successful outcomes
• Experience closing complex cyber security SaaS solutions with Enterprise Customers and supporting Sales AE's / RSM's.

Knowledge in one or more of the following:

• IoT, OT, IoMT
• Wireless technologies (WLCs, Meraki, Aruba, etc.)
• Linux Operating Systems
• Virtualized environments
• Network knowledge
• Utility Scripting (Python preferred)

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.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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're seeking passionate ML Engineers to join our team at the intersection of welding science and artificial intelligence. We currently have experienced (L3/L4), senior (L5) and staff (L6) level openings within and you'll be instrumental in developing robotic welding solutions. You'll use your skills in computer vision, deep learning, and Python programming to tackle challenges in our field alongside our talented teams.

What You’ll Do

Experienced:

• Implement, validate, and iterate on machine learning algorithms for weld perception tasks, including point cloud registration, seam detection, and joint geometry estimation, progressively expanding coverage across joint types and part geometries.
• Build and maintain data pipelines for training and evaluating perception models, spanning annotated 3D scan data ingestion, synthetic data generation, and structured dataset management for iterative model improvement.
• Run rigorous model evaluation experiments, including failure mode analysis, FP/FN rate characterization, and benchmarking against quantitative registration accuracy thresholds, and communicate findings clearly to guide next steps.
• Integrate trained models into production ROS-based robotics services, ensuring low-latency inference and compatibility with deployed cell configurations.
• Write clean, well-tested Python code; participate actively in code and experiment reviews; and maintain clear documentation of methods, parameters, and results.

Senior/Staff:

• Lead research, development, and production deployment of advanced perception algorithms spanning point cloud registration, seam detection, and real-time in-process tracking across structured light, RGB, and stereo sensors.
• Design and lead experiments evaluating state-of-the-art deep learning models, including transformer-based and geometric feature learning architectures
• Design and lead real-time perception systems such as during-weld seam tracking, applying sensor fusion with probabilistic state estimation (e.g., Kalman filtering) to achieve robust weld performance.
• Define and own the end-to-end ML lifecycle, from dataset design and annotation strategy through training, benchmarking, and fleet deployment, with clear go/no-go evaluation frameworks.
• Architect distributed training and hyperparameter optimization workflows; drive strategy for data acquisition, annotation tooling, and synthetic vs. real scan data usage.
• Mentor engineers across levels, providing technical leadership on perception systems and ML methodology.

Who You Are

• Master's or Ph.D. in CS, Robotics, or related field (Computer Vision, ML, or Perception); Bachelor's with strong production ML experience also considered. 
• 3+ years (Experienced) / 7+ years (Senior/Staff) in real-world robotics or industrial ML.
• Strong Python fluency and hands-on PyTorch experience, including training, evaluating, and deploying deep learning models in production.
• Experience with 3D point cloud data and libraries such as Open3D, including geometric concepts like surface segmentation, spatial queries, and point-wise labeling.
• Familiarity with 3D deep learning architectures such as PointNet++, GeoTransformer, or similar transformer-based or graph-based approaches on geometric data.
• Comfortable integrating ML models into production robotics services within ROS-based architectures and containerized deployment environments.
• Senior/Staff: Demonstrated track record leading end-to-end ML projects from dataset design through fleet deployment with rigorous go/no-go frameworks; experience architecting distributed training and hyperparameter optimization workflows

Why You’ll Love Working Here

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

Who We Are

About Path robotics

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

The Role

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

What You’ll Do

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

Who You Are

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

Why You’ll Love Working Here

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

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

Who We Are

Build the Path Forward

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

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

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

What You’ll Do

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

Who You Are

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

Why You’ll Love Working Here

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

Who We Are

About Path robotics

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

The Role

We're looking for a Software Engineer to build and maintain the infrastructure that powers our AI and machine learning workflows. You'll be the bridge between our AI research team and production — building the tooling, pipelines, and deployment systems that let models go from experiment to factory floor. This is a role for someone who thinks in systems but speaks ML: you understand what researchers need, and you know how to build reliable software around it.

What You’ll Do

• Build and maintain the software infrastructure that supports robot learning, including model training, experiment tracking, versioning, and deployment.
  
  
• Develop pipelines and tools for collecting, processing, and curating large-scale robotic sensor and telemetry data.
  
  
• Support deployment of AI models onto robotic systems, including simulation, hardware integration, runtime monitoring, and feedback loops from field data.
  
  
• Build internal tools that accelerate AI engineering workflows across dataset exploration, testing, evaluation, and productionisation.
  
  
• Partner closely with AI researchers and robotics engineers to turn model requirements into robust, scalable software systems.

Who You Are

• You have 3–6 years of software engineering experience, with solid exposure to ML infrastructure, MLOps, or AI-enabled systems.
  
  
• You write strong production software in Python, and ideally also have experience with C++, ROS, or robotics software stacks.
  
  
• You have experience with PyTorch and a practical understanding of the software systems needed to support AI model development.
  
  
• You are comfortable with data pipelines, simulation environments, containerised workflows, and GPU compute in Linux environments.
  
  
• You enjoy working across AI and robotics, and can support the full path from data collection and testing through to deployment on real systems.

Why You’ll Love Working Here

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

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

Who We Are

Build the Path Forward

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

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

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

What You’ll Do

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

Who You Are

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

Why You’ll Love Working Here

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

Who We Are

Build the Path Forward

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

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

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

What You’ll Do

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

Who You Are

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

Why You’ll Love Working Here

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

Who We Are

Build the Path Forward

At Path Robotics, we’re attacking a trillion dollar opportunity - doing things that have never been done before to support an industry hurting from a lack of skilled labor. Big, hard problems are what Path tackles every day, and our people are our greatest asset to get that job done. Our intelligent, hardworking team of people do the impossible every single day, yet remain incredibly kind, humble, and always ready to support one another.

We’re looking for a Senior Software Engineer to be the architect and caretaker of our codebase, building the systems and tools that make it easy for our ML, CV, and robotics engineers to explore ideas and turn them into production-grade solutions. You’ll work closely with our research teams and our data platform team — leveraging their data and ML infrastructure expertise — while focusing on creating a robust, scalable, and developer-friendly foundation.

What You’ll Do

• Architect production-grade Python systems that make experimentation, prototyping, and deployment fast, reliable, and low-friction for research teams.
• Lead engineering best practices around code quality, testing, modularity, and documentation to keep our codebase clean and maintainable.
• Build internal tooling, APIs, and libraries that abstract away infrastructure complexity so researchers can focus on solving ML, CV, and robotics problems.
• Collaborate with the data platform team to integrate data processing, training, and inference capabilities — without owning those pipelines end-to-end.
• Design CI/CD workflows for research-heavy Python projects to ensure smooth transition from prototype to production.
• Act as a technical lead within the research team, making key engineering decisions and mentoring others in writing high-quality, maintainable code.

Who You Are

• Strong background in software architecture and large-scale backend development in any language (C#, Java, Python, etc)
• Have experience building developer tools, frameworks, or platforms for technical teams.
• Proven experience with cloud-based development, including designing and managing data storage, persistence, and secure access in cloud environments, and integrating on-premises infrastructure with cloud services.
• Excited to learn ML/CV/robotics workflows well enough to support them — but your superpower is building great software, not tuning models.
• Thrive in collaborative environments where you’re a bridge between research and production.

Team Player:

• Startup Energizer: The idea of joining a growing venture-backed startup excites you because you know your work will have an immediate and significant impact.
• Collaboration Champion: You thrive in a collaborative environment, working closely with others to achieve common goals and drive success.
• Mentorship Minded: You are passionate about helping peers, fostering best practices, and promoting continuous improvement within the team.
• Quality Advocate: You are dedicated to maintaining high standards of quality, shipping reliable and high-quality code that you can be proud of, knowing that good quality also enables fast delivery.

Why You'll Love It Here

• Free lunch every day
• Flexible PTO
• Medical, Dental, and Vision insurance
• 6 weeks 100% paid parental leave plus an additional 6-8 weeks maternity leave for the birthing parent (12-14 weeks total)
• 401K through Empower
• Paid Referral Bonus

Who We Are

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

Your Role at impact.com:

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

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

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

What You'll Do:

Yield Optimization & Pricing Models

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

Inventory Allocation & Supply Optimization

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

Data Architecture & Feature Engineering

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

Real-Time Inference & Production ML

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

Experimentation & Performance Measurement

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

Self-Learning Systems & Feedback Loops

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

Cross-Functional Collaboration

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

What You Bring:

Required

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

Preferred / Nice to Have

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

What Sets You Apart

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

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

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

Benefits and Perks: 

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

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

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

#LI_Columbus_OH

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

Your Role at impact.com:

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

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

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

What You'll Do:

Yield Optimization & Pricing Models

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

Inventory Allocation & Supply Optimization

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

Data Architecture & Feature Engineering

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

Real-Time Inference & Production ML

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

Experimentation & Performance Measurement

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

Self-Learning Systems & Feedback Loops

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

Cross-Functional Collaboration

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

What You Bring:

Required

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

Preferred / Nice to Have

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

What Sets You Apart

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

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

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

Benefits and Perks: 

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

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

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

#LI_Seattle

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

Your Role at impact.com:

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

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

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

What You'll Do:

Yield Optimization & Pricing Models

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

Inventory Allocation & Supply Optimization

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

Data Architecture & Feature Engineering

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

Real-Time Inference & Production ML

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

Experimentation & Performance Measurement

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

Self-Learning Systems & Feedback Loops

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

Cross-Functional Collaboration

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

What You Bring:

Required

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

Preferred / Nice to Have

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

What Sets You Apart

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

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

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

Benefits and Perks: 

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

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

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

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

#LI_Vancouver_Canada

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

Your Role at impact.com:

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

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

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

What You'll Do:

Yield Optimization & Pricing Models

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

Inventory Allocation & Supply Optimization

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

Data Architecture & Feature Engineering

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

Real-Time Inference & Production ML

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

Experimentation & Performance Measurement

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

Self-Learning Systems & Feedback Loops

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

Cross-Functional Collaboration

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

What You Bring:

Required

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

Preferred / Nice to Have

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

What Sets You Apart

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

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

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

Benefits and Perks: 

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

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

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

#LI_NewYork_NewYork

Sr. Security Sales Engineers at GuidePoint Security are experienced professionals who are autonomous, experienced, self-driven security fanatics. Our Sr. Security Sales Engineers are materially involved in the complete security technologies opportunity lifecycle, from pre-sales through delivery and have the freedom and control over how engagements are scoped and delivered.

Our unique position as both a Value-Added Reseller (VAR) AND a professional services organization also requires our Security Sales Engineers to continually expand their knowledge and experience with the latest cutting-edge information security technologies. This helps satisfy our Security Sales Engineers desire to constantly expand their knowledge and better meet the needs of our clients. 

Position Requirements:
• MUST be located in Columbus or Cincinnati Ohio and open to local/regional travel for customer/vendor partner events
• Minimum 5 years in an enterprise level security consultative, vendor, or operational role building and assessing Information Security architectures and programs
• Proficiency in multiple security technologies, including: network security and architecture, NGFW, cloud security, Data Security, Vulnerability & Risk Management, Proxy, EDR, IAM, SIEM & Analytics
• A good listener to work with clients to understand issues/gaps in their security programs and works alongside them to provide solutions
• Proactively research and engage emerging vendors and technologies to understand how they may be used to solve our clients challenges
• Excellent soft skills with the ability to articulate complex technical content to both technical and non-technical audiences
• Proactively works to mature the business, including improving existing offerings and creating new offerings
• Author comprehensive business and technical collateral to support the business that is proficiently tailored to both technical and managerial audiences
• Security Engineers work from remote/virtual when not visiting client locations or attending events/meetings
• Position will require travel up to 25%
• Expectations for this role is 100% presales 

Technical Requirements:
• Deep proficiency in multiple security technologies including: AI Security, Network Security, NGFW, Cloud Security, DLP, CASB, Proxy, IAM, SIEM/Analytics, etc.
• Deep expertise architecting and designing enterprise scale security solutions
• Strong networking and security troubleshooting
• Deep proficiency in various client and server operating systems (Windows, Nix, OSX, etc.)
• Working technical knowledge of advanced security concepts (Zero trust, defense in depth, etc.)

Preferred:
• Experience with security technologies including Palo Alto, Zscaler, CrowdStrike, Splunk, CloudFlare, Wiz, and AWS/Azure/GCP
• Educational & Professional Credentials
• Bachelor’s degree in a relevant discipline or equivalent experience
• 5+ years of security engineering experience in the Information Security industry OR as a technical lead for an internal Information Security program
• Previous pre-sales experience is strongly preferred

Mission

Speechify is the easiest way to listen to the world’s information. Articles on the web, documents in the cloud, books on your phone. We absorb it all and let you listen to it at your desk, on the go, at your own speed, and with tools that make learning easier, deeper, and faster.

What streaming services have done for audio entertainment, we’re doing for audio information. And whatever we’re doing seems to be working. We’re #1 in our category, and experiencing exponential growth.

Overview

We're looking for a Senior Software Engineer to join our Core Experiences Team. This team builds and maintains the foundational services and SDKs that power Speechify’s product experience across platforms. It's a critical role for someone who enjoys working at the intersection of product and infrastructure, thinks strategically, and is passionate about designing clear, reliable APIs and simple systems that directly enhance the user experience.

What You’ll Do

• Collaborate with Speechify’s Product Teams to scope projects, find ways to reduce scope to get faster feedback from customers, navigate the integration/UX tradeoffs relevant to different product teams, and deliver solutions via our cross-platform SDK
• Optimize existing functionality to ship things like faster loading and more intelligent parsing by designing more efficient abstractions and improving our algorithms
• Ship cloud functions, lightweight backend services, and jobs using Kotlin

An Ideal Candidate Should Have

• Systems thinking. You know that optimizing a system requires end-to-end design, and you believe simplicity is valuable.
• Speed. You work quickly to generate ideas and options and know how to decide which things can ship now and what things need time
• Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
• Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs
• Preferred Tech Stack:
  • Kotlin Multiplatform (Java experience is OK but role is Kotlin Multiplatform) 
  • Prior experience with GCP is a plus

What We Offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest growing sectors of tech, the intersection of artificial intelligence and audio.

The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

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Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Job Summary:

Overview

As a Solutions Architect within our Healthcare Business Unit, you will play a critical role in enabling growth by supporting new logo acquisition and existing client expansion. You will partner closely with go-to-market teams to design, position, and articulate secure, scalable technology solutions that healthcare organizations trust to run and protect their clinical and business operations.

This role sits at the intersection of sales strategy, technical architecture, and client trust. Healthcare clients rely on us not just for technology, but for guidance in navigating risk, compliance, and operational complexity. As a Solutions Architect, you will help translate those challenges into practical, differentiated managed and professional services and security solutions.

You will serve as a trusted technical advisor throughout the pre-sales and early delivery lifecycle—bringing structure, clarity, and confidence to prospects and clients while ensuring internal teams are aligned for successful execution.

Role and Responsibilities

Go-To-Market & Pre-Sales Enablement

• Partner with sales and go-to-market teams on strategic opportunities, including new logo pursuits and client expansions.
• Act as the primary technical lead during the pre-sales process, from discovery and scoping through solution design and proposal support.
• Support and, when appropriate, lead client presentations, solution walk-throughs, and sales pitches.
• Ensure proposed solutions are technically sound, operationally deliverable, and aligned with healthcare compliance and security requirements.

Client Engagement & Trust Building

• Build strong relationships with healthcare prospects and clients, including clinical, IT, security, and executive stakeholders.
• Translate business, clinical, and regulatory requirements into clear, actionable solution architectures.
• Participate in client QBRs and strategic discussions to identify unmet needs and expansion opportunities.
• Reinforce our role as a trusted advisor, not just a service provider.

Solution Design & Differentiation

• Design end-to-end managed IT and cybersecurity solutions tailored to healthcare environments.
• Collaborate with engineering, service delivery, and product teams to ensure solutions align with standard offerings and delivery capabilities.
• Contribute to the evolution of the healthcare solution portfolio by identifying gaps, patterns, and opportunities for differentiation.

Intellectual Property & Enablement

• Develop and maintain intellectual property including reference architectures, methodologies, accelerators, and solution frameworks.
• Help standardize how solutions are positioned and explained to improve consistency across the sales organization.
• Support internal enablement efforts by sharing lessons learned, best practices, and repeatable patterns.

Sales-to-Delivery Alignment

• Provide continuity from pre-sales into early delivery to ensure smooth handoff and successful execution.
• Validate scope, assumptions, and success criteria prior to contract close.
• Support delivery teams during initial implementation phases as needed to ensure outcomes align with expectations.

Objectives

• Enable consistent, high-quality solution design for healthcare prospects and clients.
• Improve win rates and deal quality through strong technical leadership in the sales cycle.
• Increase expansion revenue by uncovering and articulating additional client needs.
• Strengthen client trust by ensuring solutions are realistic, secure, and aligned with healthcare regulations.
• Contribute to a scalable, repeatable go-to-market motion across the Healthcare Business Unit.

Success Metrics

Success in this role will be measured by:

• Contribution to new logo wins and expansion opportunities
• Sales cycle effectiveness and quality of solution scoping
• Client and internal stakeholder feedback
• Reduction in delivery friction due to improved pre-sales alignment
• Adoption and reuse of solution frameworks and IP
• Healthcare-specific solution differentiation and consistency

Qualifications

• 6+ years of experience in IT managed services, healthcare IT, or cybersecurity environments.
• Prior experience as a Solutions Architect, Pre-Sales Engineer, or Sales Engineer within an MSP, MSSP, or healthcare-focused technology firm.
• Strong understanding of healthcare IT environments and regulatory considerations (e.g., HIPAA, security best practices).
• Demonstrated experience supporting the full sales-to-delivery lifecycle, from discovery through handoff.
• Hands-on knowledge across several of the following areas:
• Endpoint and device management
• Microsoft 365 and Azure cloud services
• Identity and access management
• Vulnerability, threat, and security operations (SIEM, XDR, MDR)
• Server, application, and cloud security
• Ability to communicate complex technical concepts clearly to both technical and non-technical audiences.
• Comfortable presenting to senior executives, clinicians, and IT leaders.

Why This Role Matters

Healthcare organizations depend on technology to deliver patient care safely and efficiently. The Solutions Architect plays a pivotal role in ensuring that trust—by designing solutions that are secure, compliant, operationally sound, and aligned with real-world healthcare needs.

This role offers the opportunity to directly influence growth, client outcomes, and the evolution of our healthcare-focused managed services portfolio.

Compensation & Benefits

• Competitive base salary
• Target performance-based bonus
• Comprehensive benefits package including medical, dental, vision, disability, life insurance, 401(k), and PTO
• Exposure to a broad range of healthcare technologies and security platforms
• Ongoing technical training and professional development opportunities
• Collaborative, high-performance team environment focused on client outcomes

Job Summary:

Overview

As a Solutions Architect within our Healthcare Business Unit, you will play a critical role in enabling growth by supporting new logo acquisition and existing client expansion. You will partner closely with go-to-market teams to design, position, and articulate secure, scalable technology solutions that healthcare organizations trust to run and protect their clinical and business operations.

This role sits at the intersection of sales strategy, technical architecture, and client trust. Healthcare clients rely on us not just for technology, but for guidance in navigating risk, compliance, and operational complexity. As a Solutions Architect, you will help translate those challenges into practical, differentiated managed and professional services and security solutions.

You will serve as a trusted technical advisor throughout the pre-sales and early delivery lifecycle—bringing structure, clarity, and confidence to prospects and clients while ensuring internal teams are aligned for successful execution.

Role and Responsibilities

Go-To-Market & Pre-Sales Enablement

• Partner with sales and go-to-market teams on strategic opportunities, including new logo pursuits and client expansions.
• Act as the primary technical lead during the pre-sales process, from discovery and scoping through solution design and proposal support.
• Support and, when appropriate, lead client presentations, solution walk-throughs, and sales pitches.
• Ensure proposed solutions are technically sound, operationally deliverable, and aligned with healthcare compliance and security requirements.

Client Engagement & Trust Building

• Build strong relationships with healthcare prospects and clients, including clinical, IT, security, and executive stakeholders.
• Translate business, clinical, and regulatory requirements into clear, actionable solution architectures.
• Participate in client QBRs and strategic discussions to identify unmet needs and expansion opportunities.
• Reinforce our role as a trusted advisor, not just a service provider.

Solution Design & Differentiation

• Design end-to-end managed IT and cybersecurity solutions tailored to healthcare environments.
• Collaborate with engineering, service delivery, and product teams to ensure solutions align with standard offerings and delivery capabilities.
• Contribute to the evolution of the healthcare solution portfolio by identifying gaps, patterns, and opportunities for differentiation.

Intellectual Property & Enablement

• Develop and maintain intellectual property including reference architectures, methodologies, accelerators, and solution frameworks.
• Help standardize how solutions are positioned and explained to improve consistency across the sales organization.
• Support internal enablement efforts by sharing lessons learned, best practices, and repeatable patterns.

Sales-to-Delivery Alignment

• Provide continuity from pre-sales into early delivery to ensure smooth handoff and successful execution.
• Validate scope, assumptions, and success criteria prior to contract close.
• Support delivery teams during initial implementation phases as needed to ensure outcomes align with expectations.

Objectives

• Enable consistent, high-quality solution design for healthcare prospects and clients.
• Improve win rates and deal quality through strong technical leadership in the sales cycle.
• Increase expansion revenue by uncovering and articulating additional client needs.
• Strengthen client trust by ensuring solutions are realistic, secure, and aligned with healthcare regulations.
• Contribute to a scalable, repeatable go-to-market motion across the Healthcare Business Unit.

Success Metrics

Success in this role will be measured by:

• Contribution to new logo wins and expansion opportunities
• Sales cycle effectiveness and quality of solution scoping
• Client and internal stakeholder feedback
• Reduction in delivery friction due to improved pre-sales alignment
• Adoption and reuse of solution frameworks and IP
• Healthcare-specific solution differentiation and consistency

Qualifications

• 6+ years of experience in IT managed services, healthcare IT, or cybersecurity environments.
• Prior experience as a Solutions Architect, Pre-Sales Engineer, or Sales Engineer within an MSP, MSSP, or healthcare-focused technology firm.
• Strong understanding of healthcare IT environments and regulatory considerations (e.g., HIPAA, security best practices).
• Demonstrated experience supporting the full sales-to-delivery lifecycle, from discovery through handoff.
• Hands-on knowledge across several of the following areas:
• Endpoint and device management
• Microsoft 365 and Azure cloud services
• Identity and access management
• Vulnerability, threat, and security operations (SIEM, XDR, MDR)
• Server, application, and cloud security
• Ability to communicate complex technical concepts clearly to both technical and non-technical audiences.
• Comfortable presenting to senior executives, clinicians, and IT leaders.

Why This Role Matters

Healthcare organizations depend on technology to deliver patient care safely and efficiently. The Solutions Architect plays a pivotal role in ensuring that trust—by designing solutions that are secure, compliant, operationally sound, and aligned with real-world healthcare needs.

This role offers the opportunity to directly influence growth, client outcomes, and the evolution of our healthcare-focused managed services portfolio.

Compensation & Benefits

• Competitive base salary
• Target performance-based bonus
• Comprehensive benefits package including medical, dental, vision, disability, life insurance, 401(k), and PTO
• Exposure to a broad range of healthcare technologies and security platforms
• Ongoing technical training and professional development opportunities
• Collaborative, high-performance team environment focused on client outcomes

Job Summary:

Overview

As a Solutions Architect within our Healthcare Business Unit, you will play a critical role in enabling growth by supporting new logo acquisition and existing client expansion. You will partner closely with go-to-market teams to design, position, and articulate secure, scalable technology solutions that healthcare organizations trust to run and protect their clinical and business operations.

This role sits at the intersection of sales strategy, technical architecture, and client trust. Healthcare clients rely on us not just for technology, but for guidance in navigating risk, compliance, and operational complexity. As a Solutions Architect, you will help translate those challenges into practical, differentiated managed and professional services and security solutions.

You will serve as a trusted technical advisor throughout the pre-sales and early delivery lifecycle—bringing structure, clarity, and confidence to prospects and clients while ensuring internal teams are aligned for successful execution.

Role and Responsibilities

Go-To-Market & Pre-Sales Enablement

• Partner with sales and go-to-market teams on strategic opportunities, including new logo pursuits and client expansions.
• Act as the primary technical lead during the pre-sales process, from discovery and scoping through solution design and proposal support.
• Support and, when appropriate, lead client presentations, solution walk-throughs, and sales pitches.
• Ensure proposed solutions are technically sound, operationally deliverable, and aligned with healthcare compliance and security requirements.

Client Engagement & Trust Building

• Build strong relationships with healthcare prospects and clients, including clinical, IT, security, and executive stakeholders.
• Translate business, clinical, and regulatory requirements into clear, actionable solution architectures.
• Participate in client QBRs and strategic discussions to identify unmet needs and expansion opportunities.
• Reinforce our role as a trusted advisor, not just a service provider.

Solution Design & Differentiation

• Design end-to-end managed IT and cybersecurity solutions tailored to healthcare environments.
• Collaborate with engineering, service delivery, and product teams to ensure solutions align with standard offerings and delivery capabilities.
• Contribute to the evolution of the healthcare solution portfolio by identifying gaps, patterns, and opportunities for differentiation.

Intellectual Property & Enablement

• Develop and maintain intellectual property including reference architectures, methodologies, accelerators, and solution frameworks.
• Help standardize how solutions are positioned and explained to improve consistency across the sales organization.
• Support internal enablement efforts by sharing lessons learned, best practices, and repeatable patterns.

Sales-to-Delivery Alignment

• Provide continuity from pre-sales into early delivery to ensure smooth handoff and successful execution.
• Validate scope, assumptions, and success criteria prior to contract close.
• Support delivery teams during initial implementation phases as needed to ensure outcomes align with expectations.

Objectives

• Enable consistent, high-quality solution design for healthcare prospects and clients.
• Improve win rates and deal quality through strong technical leadership in the sales cycle.
• Increase expansion revenue by uncovering and articulating additional client needs.
• Strengthen client trust by ensuring solutions are realistic, secure, and aligned with healthcare regulations.
• Contribute to a scalable, repeatable go-to-market motion across the Healthcare Business Unit.

Success Metrics

Success in this role will be measured by:

• Contribution to new logo wins and expansion opportunities
• Sales cycle effectiveness and quality of solution scoping
• Client and internal stakeholder feedback
• Reduction in delivery friction due to improved pre-sales alignment
• Adoption and reuse of solution frameworks and IP
• Healthcare-specific solution differentiation and consistency

Qualifications

• 6+ years of experience in IT managed services, healthcare IT, or cybersecurity environments.
• Prior experience as a Solutions Architect, Pre-Sales Engineer, or Sales Engineer within an MSP, MSSP, or healthcare-focused technology firm.
• Strong understanding of healthcare IT environments and regulatory considerations (e.g., HIPAA, security best practices).
• Demonstrated experience supporting the full sales-to-delivery lifecycle, from discovery through handoff.
• Hands-on knowledge across several of the following areas:
• Endpoint and device management
• Microsoft 365 and Azure cloud services
• Identity and access management
• Vulnerability, threat, and security operations (SIEM, XDR, MDR)
• Server, application, and cloud security
• Ability to communicate complex technical concepts clearly to both technical and non-technical audiences.
• Comfortable presenting to senior executives, clinicians, and IT leaders.

Why This Role Matters

Healthcare organizations depend on technology to deliver patient care safely and efficiently. The Solutions Architect plays a pivotal role in ensuring that trust—by designing solutions that are secure, compliant, operationally sound, and aligned with real-world healthcare needs.

This role offers the opportunity to directly influence growth, client outcomes, and the evolution of our healthcare-focused managed services portfolio.

Compensation & Benefits

• Competitive base salary
• Target performance-based bonus
• Comprehensive benefits package including medical, dental, vision, disability, life insurance, 401(k), and PTO
• Exposure to a broad range of healthcare technologies and security platforms
• Ongoing technical training and professional development opportunities
• Collaborative, high-performance team environment focused on client outcomes

Job Summary:

Overview

As a Solutions Architect within our Healthcare Business Unit, you will play a critical role in enabling growth by supporting new logo acquisition and existing client expansion. You will partner closely with go-to-market teams to design, position, and articulate secure, scalable technology solutions that healthcare organizations trust to run and protect their clinical and business operations.

This role sits at the intersection of sales strategy, technical architecture, and client trust. Healthcare clients rely on us not just for technology, but for guidance in navigating risk, compliance, and operational complexity. As a Solutions Architect, you will help translate those challenges into practical, differentiated managed and professional services and security solutions.

You will serve as a trusted technical advisor throughout the pre-sales and early delivery lifecycle—bringing structure, clarity, and confidence to prospects and clients while ensuring internal teams are aligned for successful execution.

Role and Responsibilities

Go-To-Market & Pre-Sales Enablement

• Partner with sales and go-to-market teams on strategic opportunities, including new logo pursuits and client expansions.
• Act as the primary technical lead during the pre-sales process, from discovery and scoping through solution design and proposal support.
• Support and, when appropriate, lead client presentations, solution walk-throughs, and sales pitches.
• Ensure proposed solutions are technically sound, operationally deliverable, and aligned with healthcare compliance and security requirements.

Client Engagement & Trust Building

• Build strong relationships with healthcare prospects and clients, including clinical, IT, security, and executive stakeholders.
• Translate business, clinical, and regulatory requirements into clear, actionable solution architectures.
• Participate in client QBRs and strategic discussions to identify unmet needs and expansion opportunities.
• Reinforce our role as a trusted advisor, not just a service provider.

Solution Design & Differentiation

• Design end-to-end managed IT and cybersecurity solutions tailored to healthcare environments.
• Collaborate with engineering, service delivery, and product teams to ensure solutions align with standard offerings and delivery capabilities.
• Contribute to the evolution of the healthcare solution portfolio by identifying gaps, patterns, and opportunities for differentiation.

Intellectual Property & Enablement

• Develop and maintain intellectual property including reference architectures, methodologies, accelerators, and solution frameworks.
• Help standardize how solutions are positioned and explained to improve consistency across the sales organization.
• Support internal enablement efforts by sharing lessons learned, best practices, and repeatable patterns.

Sales-to-Delivery Alignment

• Provide continuity from pre-sales into early delivery to ensure smooth handoff and successful execution.
• Validate scope, assumptions, and success criteria prior to contract close.
• Support delivery teams during initial implementation phases as needed to ensure outcomes align with expectations.

Objectives

• Enable consistent, high-quality solution design for healthcare prospects and clients.
• Improve win rates and deal quality through strong technical leadership in the sales cycle.
• Increase expansion revenue by uncovering and articulating additional client needs.
• Strengthen client trust by ensuring solutions are realistic, secure, and aligned with healthcare regulations.
• Contribute to a scalable, repeatable go-to-market motion across the Healthcare Business Unit.

Success Metrics

Success in this role will be measured by:

• Contribution to new logo wins and expansion opportunities
• Sales cycle effectiveness and quality of solution scoping
• Client and internal stakeholder feedback
• Reduction in delivery friction due to improved pre-sales alignment
• Adoption and reuse of solution frameworks and IP
• Healthcare-specific solution differentiation and consistency

Qualifications

• 6+ years of experience in IT managed services, healthcare IT, or cybersecurity environments.
• Prior experience as a Solutions Architect, Pre-Sales Engineer, or Sales Engineer within an MSP, MSSP, or healthcare-focused technology firm.
• Strong understanding of healthcare IT environments and regulatory considerations (e.g., HIPAA, security best practices).
• Demonstrated experience supporting the full sales-to-delivery lifecycle, from discovery through handoff.
• Hands-on knowledge across several of the following areas:
• Endpoint and device management
• Microsoft 365 and Azure cloud services
• Identity and access management
• Vulnerability, threat, and security operations (SIEM, XDR, MDR)
• Server, application, and cloud security
• Ability to communicate complex technical concepts clearly to both technical and non-technical audiences.
• Comfortable presenting to senior executives, clinicians, and IT leaders.

Why This Role Matters

Healthcare organizations depend on technology to deliver patient care safely and efficiently. The Solutions Architect plays a pivotal role in ensuring that trust—by designing solutions that are secure, compliant, operationally sound, and aligned with real-world healthcare needs.

This role offers the opportunity to directly influence growth, client outcomes, and the evolution of our healthcare-focused managed services portfolio.

Compensation & Benefits

• Competitive base salary
• Target performance-based bonus
• Comprehensive benefits package including medical, dental, vision, disability, life insurance, 401(k), and PTO
• Exposure to a broad range of healthcare technologies and security platforms
• Ongoing technical training and professional development opportunities
• Collaborative, high-performance team environment focused on client outcomes

Job Summary:

Overview

As a Solutions Architect within our Healthcare Business Unit, you will play a critical role in enabling growth by supporting new logo acquisition and existing client expansion. You will partner closely with go-to-market teams to design, position, and articulate secure, scalable technology solutions that healthcare organizations trust to run and protect their clinical and business operations.

This role sits at the intersection of sales strategy, technical architecture, and client trust. Healthcare clients rely on us not just for technology, but for guidance in navigating risk, compliance, and operational complexity. As a Solutions Architect, you will help translate those challenges into practical, differentiated managed and professional services and security solutions.

You will serve as a trusted technical advisor throughout the pre-sales and early delivery lifecycle—bringing structure, clarity, and confidence to prospects and clients while ensuring internal teams are aligned for successful execution.

Role and Responsibilities

Go-To-Market & Pre-Sales Enablement

• Partner with sales and go-to-market teams on strategic opportunities, including new logo pursuits and client expansions.
• Act as the primary technical lead during the pre-sales process, from discovery and scoping through solution design and proposal support.
• Support and, when appropriate, lead client presentations, solution walk-throughs, and sales pitches.
• Ensure proposed solutions are technically sound, operationally deliverable, and aligned with healthcare compliance and security requirements.

Client Engagement & Trust Building

• Build strong relationships with healthcare prospects and clients, including clinical, IT, security, and executive stakeholders.
• Translate business, clinical, and regulatory requirements into clear, actionable solution architectures.
• Participate in client QBRs and strategic discussions to identify unmet needs and expansion opportunities.
• Reinforce our role as a trusted advisor, not just a service provider.

Solution Design & Differentiation

• Design end-to-end managed IT and cybersecurity solutions tailored to healthcare environments.
• Collaborate with engineering, service delivery, and product teams to ensure solutions align with standard offerings and delivery capabilities.
• Contribute to the evolution of the healthcare solution portfolio by identifying gaps, patterns, and opportunities for differentiation.

Intellectual Property & Enablement

• Develop and maintain intellectual property including reference architectures, methodologies, accelerators, and solution frameworks.
• Help standardize how solutions are positioned and explained to improve consistency across the sales organization.
• Support internal enablement efforts by sharing lessons learned, best practices, and repeatable patterns.

Sales-to-Delivery Alignment

• Provide continuity from pre-sales into early delivery to ensure smooth handoff and successful execution.
• Validate scope, assumptions, and success criteria prior to contract close.
• Support delivery teams during initial implementation phases as needed to ensure outcomes align with expectations.

Objectives

• Enable consistent, high-quality solution design for healthcare prospects and clients.
• Improve win rates and deal quality through strong technical leadership in the sales cycle.
• Increase expansion revenue by uncovering and articulating additional client needs.
• Strengthen client trust by ensuring solutions are realistic, secure, and aligned with healthcare regulations.
• Contribute to a scalable, repeatable go-to-market motion across the Healthcare Business Unit.

Success Metrics

Success in this role will be measured by:

• Contribution to new logo wins and expansion opportunities
• Sales cycle effectiveness and quality of solution scoping
• Client and internal stakeholder feedback
• Reduction in delivery friction due to improved pre-sales alignment
• Adoption and reuse of solution frameworks and IP
• Healthcare-specific solution differentiation and consistency

Qualifications

• 6+ years of experience in IT managed services, healthcare IT, or cybersecurity environments.
• Prior experience as a Solutions Architect, Pre-Sales Engineer, or Sales Engineer within an MSP, MSSP, or healthcare-focused technology firm.
• Strong understanding of healthcare IT environments and regulatory considerations (e.g., HIPAA, security best practices).
• Demonstrated experience supporting the full sales-to-delivery lifecycle, from discovery through handoff.
• Hands-on knowledge across several of the following areas:
• Endpoint and device management
• Microsoft 365 and Azure cloud services
• Identity and access management
• Vulnerability, threat, and security operations (SIEM, XDR, MDR)
• Server, application, and cloud security
• Ability to communicate complex technical concepts clearly to both technical and non-technical audiences.
• Comfortable presenting to senior executives, clinicians, and IT leaders.

Why This Role Matters

Healthcare organizations depend on technology to deliver patient care safely and efficiently. The Solutions Architect plays a pivotal role in ensuring that trust—by designing solutions that are secure, compliant, operationally sound, and aligned with real-world healthcare needs.

This role offers the opportunity to directly influence growth, client outcomes, and the evolution of our healthcare-focused managed services portfolio.

Compensation & Benefits

• Competitive base salary
• Target performance-based bonus
• Comprehensive benefits package including medical, dental, vision, disability, life insurance, 401(k), and PTO
• Exposure to a broad range of healthcare technologies and security platforms
• Ongoing technical training and professional development opportunities
• Collaborative, high-performance team environment focused on client outcomes

Job Summary:

Overview

As a Solutions Architect within our Healthcare Business Unit, you will play a critical role in enabling growth by supporting new logo acquisition and existing client expansion. You will partner closely with go-to-market teams to design, position, and articulate secure, scalable technology solutions that healthcare organizations trust to run and protect their clinical and business operations.

This role sits at the intersection of sales strategy, technical architecture, and client trust. Healthcare clients rely on us not just for technology, but for guidance in navigating risk, compliance, and operational complexity. As a Solutions Architect, you will help translate those challenges into practical, differentiated managed and professional services and security solutions.

You will serve as a trusted technical advisor throughout the pre-sales and early delivery lifecycle—bringing structure, clarity, and confidence to prospects and clients while ensuring internal teams are aligned for successful execution.

Role and Responsibilities

Go-To-Market & Pre-Sales Enablement

• Partner with sales and go-to-market teams on strategic opportunities, including new logo pursuits and client expansions.
• Act as the primary technical lead during the pre-sales process, from discovery and scoping through solution design and proposal support.
• Support and, when appropriate, lead client presentations, solution walk-throughs, and sales pitches.
• Ensure proposed solutions are technically sound, operationally deliverable, and aligned with healthcare compliance and security requirements.

Client Engagement & Trust Building

• Build strong relationships with healthcare prospects and clients, including clinical, IT, security, and executive stakeholders.
• Translate business, clinical, and regulatory requirements into clear, actionable solution architectures.
• Participate in client QBRs and strategic discussions to identify unmet needs and expansion opportunities.
• Reinforce our role as a trusted advisor, not just a service provider.

Solution Design & Differentiation

• Design end-to-end managed IT and cybersecurity solutions tailored to healthcare environments.
• Collaborate with engineering, service delivery, and product teams to ensure solutions align with standard offerings and delivery capabilities.
• Contribute to the evolution of the healthcare solution portfolio by identifying gaps, patterns, and opportunities for differentiation.

Intellectual Property & Enablement

• Develop and maintain intellectual property including reference architectures, methodologies, accelerators, and solution frameworks.
• Help standardize how solutions are positioned and explained to improve consistency across the sales organization.
• Support internal enablement efforts by sharing lessons learned, best practices, and repeatable patterns.

Sales-to-Delivery Alignment

• Provide continuity from pre-sales into early delivery to ensure smooth handoff and successful execution.
• Validate scope, assumptions, and success criteria prior to contract close.
• Support delivery teams during initial implementation phases as needed to ensure outcomes align with expectations.

Objectives

• Enable consistent, high-quality solution design for healthcare prospects and clients.
• Improve win rates and deal quality through strong technical leadership in the sales cycle.
• Increase expansion revenue by uncovering and articulating additional client needs.
• Strengthen client trust by ensuring solutions are realistic, secure, and aligned with healthcare regulations.
• Contribute to a scalable, repeatable go-to-market motion across the Healthcare Business Unit.

Success Metrics

Success in this role will be measured by:

• Contribution to new logo wins and expansion opportunities
• Sales cycle effectiveness and quality of solution scoping
• Client and internal stakeholder feedback
• Reduction in delivery friction due to improved pre-sales alignment
• Adoption and reuse of solution frameworks and IP
• Healthcare-specific solution differentiation and consistency

Qualifications

• 6+ years of experience in IT managed services, healthcare IT, or cybersecurity environments.
• Prior experience as a Solutions Architect, Pre-Sales Engineer, or Sales Engineer within an MSP, MSSP, or healthcare-focused technology firm.
• Strong understanding of healthcare IT environments and regulatory considerations (e.g., HIPAA, security best practices).
• Demonstrated experience supporting the full sales-to-delivery lifecycle, from discovery through handoff.
• Hands-on knowledge across several of the following areas:
• Endpoint and device management
• Microsoft 365 and Azure cloud services
• Identity and access management
• Vulnerability, threat, and security operations (SIEM, XDR, MDR)
• Server, application, and cloud security
• Ability to communicate complex technical concepts clearly to both technical and non-technical audiences.
• Comfortable presenting to senior executives, clinicians, and IT leaders.

Why This Role Matters

Healthcare organizations depend on technology to deliver patient care safely and efficiently. The Solutions Architect plays a pivotal role in ensuring that trust—by designing solutions that are secure, compliant, operationally sound, and aligned with real-world healthcare needs.

This role offers the opportunity to directly influence growth, client outcomes, and the evolution of our healthcare-focused managed services portfolio.

Compensation & Benefits

• Competitive base salary
• Target performance-based bonus
• Comprehensive benefits package including medical, dental, vision, disability, life insurance, 401(k), and PTO
• Exposure to a broad range of healthcare technologies and security platforms
• Ongoing technical training and professional development opportunities
• Collaborative, high-performance team environment focused on client outcomes

Job Summary:

Overview

As a Solutions Architect within our Healthcare Business Unit, you will play a critical role in enabling growth by supporting new logo acquisition and existing client expansion. You will partner closely with go-to-market teams to design, position, and articulate secure, scalable technology solutions that healthcare organizations trust to run and protect their clinical and business operations.

This role sits at the intersection of sales strategy, technical architecture, and client trust. Healthcare clients rely on us not just for technology, but for guidance in navigating risk, compliance, and operational complexity. As a Solutions Architect, you will help translate those challenges into practical, differentiated managed and professional services and security solutions.

You will serve as a trusted technical advisor throughout the pre-sales and early delivery lifecycle—bringing structure, clarity, and confidence to prospects and clients while ensuring internal teams are aligned for successful execution.

Role and Responsibilities

Go-To-Market & Pre-Sales Enablement

• Partner with sales and go-to-market teams on strategic opportunities, including new logo pursuits and client expansions.
• Act as the primary technical lead during the pre-sales process, from discovery and scoping through solution design and proposal support.
• Support and, when appropriate, lead client presentations, solution walk-throughs, and sales pitches.
• Ensure proposed solutions are technically sound, operationally deliverable, and aligned with healthcare compliance and security requirements.

Client Engagement & Trust Building

• Build strong relationships with healthcare prospects and clients, including clinical, IT, security, and executive stakeholders.
• Translate business, clinical, and regulatory requirements into clear, actionable solution architectures.
• Participate in client QBRs and strategic discussions to identify unmet needs and expansion opportunities.
• Reinforce our role as a trusted advisor, not just a service provider.

Solution Design & Differentiation

• Design end-to-end managed IT and cybersecurity solutions tailored to healthcare environments.
• Collaborate with engineering, service delivery, and product teams to ensure solutions align with standard offerings and delivery capabilities.
• Contribute to the evolution of the healthcare solution portfolio by identifying gaps, patterns, and opportunities for differentiation.

Intellectual Property & Enablement

• Develop and maintain intellectual property including reference architectures, methodologies, accelerators, and solution frameworks.
• Help standardize how solutions are positioned and explained to improve consistency across the sales organization.
• Support internal enablement efforts by sharing lessons learned, best practices, and repeatable patterns.

Sales-to-Delivery Alignment

• Provide continuity from pre-sales into early delivery to ensure smooth handoff and successful execution.
• Validate scope, assumptions, and success criteria prior to contract close.
• Support delivery teams during initial implementation phases as needed to ensure outcomes align with expectations.

Objectives

• Enable consistent, high-quality solution design for healthcare prospects and clients.
• Improve win rates and deal quality through strong technical leadership in the sales cycle.
• Increase expansion revenue by uncovering and articulating additional client needs.
• Strengthen client trust by ensuring solutions are realistic, secure, and aligned with healthcare regulations.
• Contribute to a scalable, repeatable go-to-market motion across the Healthcare Business Unit.

Success Metrics

Success in this role will be measured by:

• Contribution to new logo wins and expansion opportunities
• Sales cycle effectiveness and quality of solution scoping
• Client and internal stakeholder feedback
• Reduction in delivery friction due to improved pre-sales alignment
• Adoption and reuse of solution frameworks and IP
• Healthcare-specific solution differentiation and consistency

Qualifications

• 6+ years of experience in IT managed services, healthcare IT, or cybersecurity environments.
• Prior experience as a Solutions Architect, Pre-Sales Engineer, or Sales Engineer within an MSP, MSSP, or healthcare-focused technology firm.
• Strong understanding of healthcare IT environments and regulatory considerations (e.g., HIPAA, security best practices).
• Demonstrated experience supporting the full sales-to-delivery lifecycle, from discovery through handoff.
• Hands-on knowledge across several of the following areas:
• Endpoint and device management
• Microsoft 365 and Azure cloud services
• Identity and access management
• Vulnerability, threat, and security operations (SIEM, XDR, MDR)
• Server, application, and cloud security
• Ability to communicate complex technical concepts clearly to both technical and non-technical audiences.
• Comfortable presenting to senior executives, clinicians, and IT leaders.

Why This Role Matters

Healthcare organizations depend on technology to deliver patient care safely and efficiently. The Solutions Architect plays a pivotal role in ensuring that trust—by designing solutions that are secure, compliant, operationally sound, and aligned with real-world healthcare needs.

This role offers the opportunity to directly influence growth, client outcomes, and the evolution of our healthcare-focused managed services portfolio.

Compensation & Benefits

• Competitive base salary
• Target performance-based bonus
• Comprehensive benefits package including medical, dental, vision, disability, life insurance, 401(k), and PTO
• Exposure to a broad range of healthcare technologies and security platforms
• Ongoing technical training and professional development opportunities
• Collaborative, high-performance team environment focused on client outcomes

Salary: 150-175k OTE

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.

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