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:

Reporting to the Manager of Customer Operations Systems, the Internal Systems Engineer (Applied AI) is a specialized, high-impact builder role dedicated to supercharging our Customer Operations teams (Support, Success, Onboarding, Implementation).

This is a highly practical, application-focused engineering position instrumental to our AI transformation. You will spend your time across three types of work:

1. Building AI-powered tools and agents. You will integrate applied AI into our workflows using modern frameworks. You will consult with business stakeholders to help explain the art of the possible, guide them in defining logic and prompts, and own building and maintaining agentic workflows and tools. Example projects include building an AI-powered QA and training tool with a RAG component for new support agents, architecting agentic workflows for our onboarding team, or building a FreshDesk integration that suggests draft responses to tickets.
2. Building and maintaining a shared agent platform. This is what makes AI scale beyond our team. You will build and maintain the templates, approved patterns, and deployment infrastructure that enable people across Customer Operations to build their own agents without needing to figure out hosting, monitoring, or API connectivity themselves. When a Technical Services lead wants to build an agent that automates "pixel not firing" investigations, they should be able to do it on your platform without writing a deployment script. You own making self-serve actually work.
3. Building robust internal software, integrations, and automations - such as developing custom FreshDesk widgets to support our agents. You will own the full lifecycle of these apps: building, hosting, monitoring, maintaining, and eventually retiring them when they're no longer needed.

Many job descriptions define themselves as "critical" or "pivotal." This role genuinely is. impact.com has thousands of clients, millions of partners, endless data, and complex multi-system processes. As a business, we are ensuring we are on the cutting edge - aggressively automating and scaling up what we do with AI. This role owns a substantial portion of that transformation for a critical part of our business.

A note on how you'll work with others: when someone across Customer Operations builds a pilot that proves value, you don't take it over. You partner with them to elevate it - bringing engineering rigor, production infrastructure, and scale while they maintain creative control and ongoing input. When someone has a great idea but isn't technical enough to build it themselves, your first instinct is to build it with them, growing their skills in the process. You're an accelerator, not a bottleneck.

This role is for the person who embodies the overlap of curiosity, process-obsession, and action orientation. It is for the passionate tinkerer who also gets carried away exploring custom Salesforce structures and data flows. It is for the person who has been building agentic workflows to manage their household tasks in their free time because they can't stop playing with the new tools AI offers.

If you are that person - if you are a highly motivated, thoughtful builder - and you want to leverage applied AI on a daily basis, this is the role for you.

What You'll Do:

• Software Development Foundation: Proven experience building, hosting, and maintaining applications and tools. You are comfortable writing clean, functional code (Python, JavaScript/TypeScript, etc.) to solve operational problems. You understand what it means to keep something running in production, not just get it working once.
• API & Integration Expertise: Deep experience working with REST APIs. You can easily build connectors between distinct SaaS platforms to automate data flows and trigger actions.
• Applied AI Engineering: Hands-on experience with LLM orchestration frameworks (like LangChain or LangGraph). You understand MCPs, RAG pipelines, agentic workflows, DAG vs linear flows, engineering HITL systems, and have built real-world systems using these rails.
• AI Evaluation & Quality: Experience setting up and running evals for LLM outputs. You know how to build systems that grade, evaluate, and test AI responses for accuracy and safety (e.g., LLM-as-a-judge). You understand CI/CD for AI systems and can build regression testing pipelines.
• Platform Thinking: You don't just build one-off tools - you think about how to make your work reusable. You can design templates, abstractions, and deployment patterns that other people (including non-engineers) can use to build on top of what you've created.
• Systems Thinking & Process Orientation: You don't write code in a vacuum; you map out complex operational workflows before you start building. You have a knack for seeing how different tools, teams, and data flows interact, ensuring your solutions address the actual problem without creating downstream issues.
• Cross-Functional Collaboration: Ability to work closely with non-technical business stakeholders. You can take a process flow and prompt designs from a business leader and turn them into a functioning, hosted application. Equally important: you can teach - walking a non-technical person through building their first agent is as valuable as building it yourself.
• Autonomous Builder: You are a self-starter who thrives in an agile environment. You don't need excessive hand-holding to figure out how to host a script or deploy a small internal app.
• Relentless Tinkerer: You were the first person in your current role to start building agents. You have had personal subscriptions to Claude, Gemini, ChatGPT, Cursor, etc.

What You Bring:

• Experience building custom apps or integrations specifically for Freshdesk (or similar enterprise ticketing systems like Zendesk/Jira).
• Background working in or building tools for Customer Support, Customer Success, or Onboarding teams.
• Experience integrating with knowledge base platforms (like Gitbook or similar documentation sites).
• Proven experience taking automation projects from concept to deployment within a large, complex organization.
• Experience building internal platforms or developer tools that other teams use to self-serve.
• Experience with monitoring and observability for AI systems in production.

Salary range: $140,000.00 - $160,000.00 per year, plus an additional 5% variable annual bonus contingent on Company performance and eligible to receive a Restricted Stock Unit (RSU) grant.

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

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 an architect and caretaker of our Perception 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 for our Perception models.

What You’ll Do

• Wrap perception ML models (part registration, seam localization, real-time weld tracking) into reliable production services that ship to our internationally deployed fleet of welding robots.
• Build gRPC/Protobuf service interfaces with rigorous schema versioning so ML models can evolve seamlessly within our software stack.
• Own deployment infrastructure, including containerization, CUDA/PyTorch environment management, and GPU memory budgeting.
• Build observability and telemetry pipelines that surface fleet-wide perception failures, connecting model metrics to operator outcomes and shortening debug cycles.
• Design data pipelines that close the active-learning loop, ingesting fleet data through annotation tools and routing labeled data back to training services.
• Help establish software best practices and drive engineering quality through code review, testing harnesses, and CI/CD, and mentor mid-level engineers writing production perception services.

Who You Are

• 5+ years building production backend systems in Python (C++ is a plus). 
• Expertise in architecture, concurrency, performance, and API design.
• Deep experience designing and operating gRPC/Protobuf services in production, including schema evolution and backward-compatible API contracts across long-lived clients.
• Hands-on with containerized deployment, Linux, and GPU compute. Comfortable diagnosing CUDA driver, PyTorch version, and memory allocation issues on inference hardware.
• Experience building developer tools, frameworks, or platforms, especially those used by ML, CV, or research teams.
• Comfortable enough with ML and computer vision workflows (training loops, evaluation harnesses, point clouds) to support them in code, even though you don't necessarily tune models yourself.
• Thrive at the boundary between research and production, translating prototypes into reliable services while enabling the researchers behind them.

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

Forge Your Future with Us:

At Forge Biologics, we believe in turning bold ideas into life-changing realities. Our mission is simple yet powerful: to enable access to life-changing gene therapies and help bring them from ideas into reality. We partner with scientists, physicians, biotech and pharma innovators, and patient communities — all united by one goal: improving lives. If you’re driven by purpose and excited to make a tangible impact, this is where your journey begins.

Our team works out of The Hearth, a state-of-the-art, 200,000-square-foot cGMP facility in Columbus, Ohio. Here, you won’t just watch innovation happen — you’ll be part of it. Whether you’re scaling AAV manufacturing, collaborating on cutting-edge therapies, or supporting complex technical projects, you’ll play a key role in bringing hope to patients with genetic diseases.

What sets Forge apart is our culture of H.O.P.E. We are hardworking, showing up each day with determination and grit. We are open, creating a space where ideas flow freely, and every voice is valued. We are purpose-driven, with every task directly tied to changing lives. And we are engaged, energized by the challenges we face and the milestones we achieve together.

At Forge, your growth matters. We’re committed to helping you expand your skills, take on new challenges, and develop your career through mentorship, hands-on learning, and opportunities for advancement. Our people are our greatest investment, and we’re proud to see team members grow with us.

If you’re ready to use your talent to help deliver hope to patients around the world, join us — and be part of something bigger than yourself.

About The Role: 

The CSV Engineer I is responsible for ensuring that GxP computerized systems at Forge Biologics are validated in compliance with regulatory standards (21 CFR Part 11, EU Annex 11, GAMP 5). This role directly supports gene therapy manufacturing operations by leading validation activities for key systems including Veeva QMS, BMRAM, analytical lab instruments, and the Metasys BMS. By maintaining data integrity and system compliance, the CSV Engineer plays a critical part in ensuring product quality, patient safety, and regulatory inspection readiness.

Responsibilities:

• Author, review, and execute validation deliverables for GxP computerized systems, including Validation Plans, Requirements Specifications (URS/FS/DS), IQ/OQ/PQ protocols, Trace Matrices, and Validation Summary Reports.
• Supports computer system validation efforts for Veeva Vault QMS, BMRAM (laboratory information management), analytical lab instruments (e.g., HPLC, UHPLC, PCR instruments, plate readers etc), ERP System (NetSuite).
• Perform risk assessments to determine validation approach and ensure appropriate testing of system functionality, data integrity, and audit trail review.
• Manage system change control, deviations, and CAPAs related to validated systems, ensuring compliance with Forge’s quality system.
• Collaborate with IT, QA, Lab Operations, and Facilities teams to support system upgrades, patches, and periodic reviews while maintaining validated state.

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, Life Sciences, or related field (or equivelant experience).
• 2+ years of experience in Computer System Validation (CSV) within a GxP regulated environment (pharmaceutical, biotech, or medical device).
• Working knowledge of GAMP 5, 21 CFR Part 11, EU Annex 11, and data integrity principles (ALCOA+).
• Experience validating at least one of the following: Veeva Vault QMS, BMRAM, laboratory instrumentation (e.g., Waters, Agilent, Chromeleon, Softmax or similar), or a building management system (BMS) like Metasys.
• Strong technical writing skills and ability to execute protocols with minimal supervision.
• Ability to work onsite (in Columbus, Ohio) 3-4 days/week on average.

Preferred Skills:

• Experience with Veeva Vault platform (QMS or QualityDocs) and BMRAM configuration or validation.
• Hands-on validation of laboratory instruments (e.g., HPLC, UV-Vis,)including software like Empower or Chromeleon.
• Familiarity with Metasys BMS or similar environmental monitoring systems in a GxP facility.
• Experience with electronic execution systems such as Veeva Vault Manager or similar.
• Experience supporting regulatory inspections (FDA, EMA) and responding to CSV-related observations.

This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities and activities may change, or new ones may be assigned. 

Work Environment and Physical Demands  

This position works in both a laboratory environment and typical office environment where the physical work demands will vary depending on the specific tasks and duties required of the job. The employee will be stationary (standing/sitting) for extended periods of time. Employees regularly wear personal protective equipment based on the task being performed. Must be able to work in a confined space, such as a clean room or laboratory environment. Ability to identify small details within the field of vision, distinguish between different colors, and accurately identify objects within a specific area. 

Forge Biologics is an equal opportunity employer dedicated to building an inclusive and diverse workforce. Forge Biologics, provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. 

We’ve Got You Covered: 

At Forge Biologics, we believe our people deserve to be taken care of – in and out of the workplace. We’ve built a comprehensive compensation and benefits package designed to help you thrive, grow, and feel valued every step of the way:

Health from day one

• Health, dental and vision insurance start your first day – with 90% of premiums covered for you and your family.

Time to recharge

• A competitive paid time off plan – because rest fuels innovation.
• 12 weeks of fully paid parental leave so you can focus on family when it matters most.

Rewarding your impact

• Annual bonus opportunities for all full-time team members.
• 401(k) with company match to help you plan for the future.
• Special employee discounts, including childcare and dependent care savings.

Your wellness, supported

• Onsite fitness facility at The Hearth.
• Mental health counseling and financial planning services through our Employee Assistance Program.
• Employer-paid short and long-term disability coverage to protect your peace of mind.

Fuel for your workday

• A fully stocked kitchen with free snacks and beverages – we keep you energized and ready for what’s next.

Grow with us

• Ongoing professional development resources, training, and mentorship programs to help you build your care and grow within Forge.

About Emplifi

Emplifi is a leading AI-powered social media marketing and customer experience platform, empowering brands to deliver meaningful, connected experiences across digital channels. Recognized as a Leader by renowned analysts and celebrated as a customer favorite, Emplifi provides innovative, data-driven insights and AI-powered tools to help brands optimize social media performance, elevate their influencer marketing strategies, and deliver impactful customer engagement across marketing, commerce, and care.

About the Marketing Team 

Marketing is the centre of creativity at Emplifi. We are a growing department with an attitude of if you can dream it, you can market it. The marketing team drives powerful initiatives that impact how we are seen by the rest of the world, and ultimately engages prospects and customers on a journey with us. Every role on our team holds a key function in the success of our business. You'll work alongside skilled marketing experts located across the globe, in addition to collaborating cross-functionally with other teams.

One thing we can promise is you'll never get bored. Being in a hyper-growth stage we have so many exciting adventures ahead of us. If you're looking for a job where you can have a real impact then you've come to the right place.   

About the Role

The Director, AI Marketing Enablement will work in close partnership with the VP, Marketing Campaigns and the Sr. Director of Marketing Strategy to lead Emplifi’s transformation into an AI-native marketing organization. This is a strategic leadership role at the intersection of marketing execution, AI systems design, and team enablement. Your focus is building the processes, training, and standards that allow our marketing team to move faster and run smarter campaigns, while also owning the delivery of digital services from SEO and paid media to web properties and lead database health.

What You’ll Do Here

• Partner with the VP of Campaigns and Senior Director of Marketing Strategy to define and execute the AI enablement roadmap across all five pillars: email marketing, digital and web, campaign marketing, QBR reporting, and ICP ownership
• Design, document, and maintain the workflows, training, and best practices that help the marketing team adopt AI in their day to day
• Own email marketing AI including copy generation, subject line optimization, dynamic personalization, and send-time intelligence, ensure all output meets Emplifi brand and tone standards
• Own SEO strategy, web performance, and digital experience. Drive organic search rankings, site visitor growth, and conversion optimization, applying AI tools to accelerate content production, keyword analysis, personalization, and on-page optimization
• Own campaign marketing AI across the full lifecycle: lead scoring, multi-touch nurture, account-based targeting, and campaign orchestration, ensure campaigns are tracked, measurable, and easy for the team to manage
• Own ICP definition and continuous refinement using intent data, firmographic signals, and AI enrichment tools, keep ICP current and aligned with marketing and sales, feeding intelligence into email, web, and campaign systems
• Provide digital delivery services to the broader marketing team across webinars, ebooks, whitepapers, webpages, email, paid ads, and social ads. Manage paid media programs and report on their contribution to pipeline
• Maintain and grow the lead database through ongoing nurture and net new acquisition
• Partner with BDR management to ensure marketing-sourced leads convert at healthy rates
• Design and maintain automated QBR reporting frameworks and dashboards covering campaign performance, website analytics, email analytics, ABM platform, paid media, and social audience growth. Translate complex data into board-ready insights and automate reporting to reduce manual effort
• Evaluate, onboard, and manage AI and marketing technology vendors. Work with an internal AI team to support technical integrations and enforce governance standards for AI-generated content including brand compliance, data privacy, and accuracy review

What You'll Bring to Us

• BS/MS degree in marketing or a related field; MBA preferred
• Proven ability to hire and lead high-performing teams with a track record of defining strategy and delivering results against aggressive goals
• An exceptional communicator, you can explain a complex workflow to a first-day employee, coach a team through a new tool, and present performance data to the board
• A systems thinker who maps complex marketing processes, identifies where AI adds value, and designs workflows that scale, you break things into clear steps and build processes others can follow without you in the room
• Skilled in Salesforce required
• Experience with Marketo, 6Sense, Qualified, or comparable marketing automation and ABM platforms a strong plus
• Fluent in the AI marketing tool landscape: content generation, email personalization, web personalization, intent data, ICP enrichment, and workflow automation. Not required to be an engineer, required to understand how tools connect and what makes them produce results
• Experienced working directly with sales and business development reps
• Outcome-focused with a track record of implementing tools or processes that produced measurable improvements in pipeline, conversion, efficiency, or campaign performance
• An enthusiastic, high-energy team leader viewed as a doer on the team and across internal organizations. Comfortable with a rapidly evolving AI landscape and skilled at evaluating what is worth adopting
• Willing to travel as needed

What We Offer

• International and fast-paced environment
• Chance to work with the world’s biggest brands at the CX tech leader
• Agile and open-minded culture, with high levels of trust and flexibility 
• Opportunity for professional growth and development 
• Possibility to learn new and cutting-edge technologies, in an environment that encourages new ideas
• Flexible working environment
• Unlimited Paid Time Off
• Sick Days & Community Service Days
• Benefits package including Medical, Dental, Vision & Life Coverage Options
• 8 weeks paid maternity leave or 4 weeks paid paternity leave; adoption and foster care leave available as well
• Company paid STD and LTD
• 401K
• Educational Reimbursement Opportunities
• Access to an Employee Assistance Program (EAP)
• Scheduled Company Learning Days and access to additional courses via our online Emplifi Academy
• There’s more as well! Speak with us to find out all the details!

At Emplifi, we are committed to creating a workplace where everyone is valued, respected, and empowered to bring their whole selves to work. We welcome applications from individuals of all ages, races, religions, genders, sexual orientations, gender identities, and LGBTQ+ communities.

Emplifi offers a safe, inclusive, and supportive environment where every employee has the opportunity to thrive and is encouraged to be who they are.

We welcome and encourage applicants with disabilities. Accommodations are available upon request at any stage of the recruitment process.

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).

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)

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

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

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

What You'll Do

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

What We're Looking For

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

Why You’ll Love Working Here

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

Who We Are

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, complex problems are our everyday work, and our team of intelligent, humble, and driven people makes the impossible possible together.

We’re looking for an Electrical Engineer to design, build, and refine the electrical foundation behind our automation platform. You’ll own critical electrical systems from concept through deployment, ensuring performance, safety, reliability, and scalability across advanced automated equipment and robotic welding cells. This role offers hands-on ownership, technical depth, and the opportunity to directly influence how modern automation products are designed, built, and deployed.

What You’ll Do

• Design and implement scalable electrical systems for advanced automated equipment and robotic welding cells using SOLIDWORKS Electrical.
• Develop and maintain complete electrical documentation packages, including schematics, panel layouts, I/O lists, cable schedules, power distribution diagrams, and BOMs.
• Architect power distribution systems, grounding strategies, and protection schemes to ensure safety, robustness, and compliance.
• Specify and validate electrical components including PLCs, power supplies, breakers, contactors, safety devices, VFDs, servos, and motion systems.
• Develop, test, and debug PLC software across multiple platforms (e.g., Allen-Bradley / Studio 5000 and Delta PLCs / CODESYS) where applicable.
• Integrate third-party electrical subsystems and ensure seamless system-level performance.
• Lead machine safety design efforts, contribute to risk assessments, and support compliance with relevant electrical and industrial safety standards.
• Partner with supply chain and manufacturing to optimize BOM cost, part standardization, availability, and build efficiency.
• Support systems through build, FAT, installation, and commissioning, troubleshooting electrical issues and improving future deployments.
• Drive continuous improvement by feeding field learnings back into design standards, documentation, and component selection.
• Collaborate cross-functionally with mechanical, controls, robotics, and product teams to deliver cohesive system designs.

Who You Are

• 2–6+ years of experience designing and deploying industrial electrical systems for automated equipment or machinery.
• Strong experience creating electrical schematics and panel designs using SOLIDWORKS Electrical (or similar ECAD tools).
• Solid understanding of power distribution, circuit protection, grounding, and industrial wiring standards.
• Experience working with PLC hardware and industrial controls components (e.g., Allen-Bradley, Delta, or similar platforms).
• Familiarity with machine safety systems, including safety PLCs, safety I/O, and risk assessment processes.
• Experience with robotic automation systems is a plus, ideally robotic welding applications (Yaskawa robots, Miller welding equipment, or similar).
• Thinks in terms of scalable, standardized designs that improve reliability, safety, and deployment efficiency.
• Comfortable testing, validating, and iterating on electrical designs using real-world feedback.
• Understands the cost, availability, and lifecycle implications of component selection and works effectively with supply chain partners.
• Communicates clearly, collaborates well across disciplines, and takes ownership of outcomes from concept through field deployment.
• Curious and motivated to continuously improve system performance, safety, cost, and manufacturability

Why You’ll Love Working Here

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

Who We Are

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

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

Build the Path Forward

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

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

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

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

What You’ll Do

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

Who You Are

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

Why You’ll Love Working Here

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

Who We Are

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

About 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

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

About impact.com:

impact.com is the world’s leading commerce partnership marketing platform, transforming the way businesses grow by enabling them to discover, manage, and scale partnerships across the entire customer journey. From affiliates and influencers to content publishers, brand ambassadors, and customer advocates, impact.com empowers brands to drive trusted, performance-based growth through authentic relationships. Its award-winning products—Performance (affiliate), Creator (influencer), and Advocate (customer referral)—unify every type of partner into one integrated platform. As consumers increasingly rely on recommendations from people and communities they trust, impact.com helps brands show up where it matters most. Today, over 5,000 global brands, including Walmart, Uber, Shopify, Lenovo, L’Oréal, and Fanatics, rely on impact.com to power more than 225,000 partnerships that deliver measurable business results.

Your Role at impact.com:

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

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

What You'll Do:

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

What You Bring:

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

Salary Range: $80,000 - $100,000 per year, plus additional 5% variable annual bonus contingent on Company performance and eligible to receive Restricted Stock Unit (RSU) grant. *This is the pay range the Company believes is equitable for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time.

Benefits and Perks: 

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

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

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

About impact.com:

impact.com is the world’s leading commerce partnership marketing platform, transforming the way businesses grow by enabling them to discover, manage, and scale partnerships across the entire customer journey. From affiliates and influencers to content publishers, brand ambassadors, and customer advocates, impact.com empowers brands to drive trusted, performance-based growth through authentic relationships. Its award-winning products—Performance (affiliate), Creator (influencer), and Advocate (customer referral)—unify every type of partner into one integrated platform. As consumers increasingly rely on recommendations from people and communities they trust, impact.com helps brands show up where it matters most. Today, over 5,000 global brands, including Walmart, Uber, Shopify, Lenovo, L’Oréal, and Fanatics, rely on impact.com to power more than 225,000 partnerships that deliver measurable business results.

Your Role at impact.com:

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

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

What You'll Do:

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

What You Bring:

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

Salary Range: $95,000 - $120,000 per year, plus additional 5% variable annual bonus contingent on Company performance and eligible to receive Restricted Stock Unit (RSU) grant. *This is the pay range the Company believes is equitable for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time.

Benefits and Perks: 

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

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

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

#LI-Columbus

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.

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 Company: 

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

Your Role at impact.com: 

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

What You'll Do:

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

What You Bring:

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

Salary Range: $65,000.00 - $115,000.00 per year (based on experience), plus an additional 5% variable annual bonus contingent on Company performance and eligible to receive a Restricted Stock Unit (RSU) grant.*This is the pay range the Company believes is equitable for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time.

Benefits (Perks):

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

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

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

#LI_Columbus

Position Summary

We are looking for a skilled, hands-on senior engineer to build and maintain the core infrastructure and backend services that power our trading platform. You will work on systems where performance, correctness, and uptime are fundamental - not afterthoughts.You write clean, efficient C# and Go, take pride in the quality and reliability of your work, and are comfortable owning complex backend problems from design through production. You have a strong instinct for identifying risk before it becomes an incident, and you bring the kind of engineering discipline that high-stakes, real-time financial systems demand.

Key Responsibilities

• Design, build, and maintain backend services and platform infrastructure in C# and Go, with a focus on performance, reliability, and correctness.
• Own backend components end-to-end - from architecture and implementation through testing, deployment, and on-call support.
• Proactively identify and address technical debt, performance bottlenecks, and reliability risks before they become production incidents.
• Collaborate with the platform tech lead and other engineers on system design, code reviews, and cross-team integration work.
• Contribute to frontend development in React, particularly around platform integrations and internal tooling.
• Write and maintain comprehensive tests, documentation, and runbooks to support operational excellence.
• Participate actively in on-call rotation - owning issues through to resolution and contributing to post-incident reviews.

Qualifications

Required

• Strong C# development skills - solid understanding of the .NET ecosystem, async/await patterns, and performance optimization with modern C# idioms (.NET 6+).
• Hands-on experience building and maintaining backend or platform systems in production environments.
• Experience with low-latency or high-throughput systems, particularly in financial, trading, or data-intensive domains.
• Strong understanding of databases including schema design, query optimization, and transactional integrity (PostgreSQL, MySQL, or similar).
• Experience with RESTful API design, WebSockets, and asynchronous/event-driven architectures.
• Proficiency with CI/CD pipelines, automated testing strategies, and modern DevOps tooling.
• Frontend awareness - comfortable working across the stack, reviewing or contributing to React-based frontend work.
• Reliable and dependable - you follow through, communicate proactively, and treat your commitments seriously.
• Strong communication skills; able to collaborate effectively across engineering and product.

Preferred

• Familiarity with functional programming paradigms - comfortable applying immutability, pure functions, and composition patterns to write more predictable, testable code.
• Proficiency in Go - comfortable writing production-grade services and APIs.
• Experience with React or modern frontend frameworks - able to contribute to platform tooling and interfaces.
• Familiarity with Python for scripting, tooling, or data processing.
• Experience with Kubernetes and container orchestration in production environments.
• Background in trading, futures, prop trading, or fintech - you understand the domain and its performance expectations.
• Familiarity with distributed systems patterns: message queues (Kafka, RabbitMQ), caching strategies (Redis), and service-to-service communication.
• Exposure to observability tooling: Prometheus, Grafana, structured logging, and distributed tracing.
• Experience working in multi-team engineering organizations with shared platform dependencies.

Position Summary

We are looking for a seasoned, hands-on engineer to lead platform and backend engineering on our trading infrastructure. You will serve as the technical authority for a high-performance, low-latency trading platform - owning architecture decisions, setting engineering standards, and driving the work that keeps critical systems reliable and fast.You thrive in environments where microseconds matter, correctness is non-negotiable, and the team looks to you not just for technical direction but for the clarity and confidence to execute against it. You are pragmatic, opinionated, and comfortable operating at the intersection of systems engineering, financial technology, and cross-functional product delivery.

Key Responsibilities

• Serve as the technical lead for platform and backend engineering - owning architecture decisions, setting development standards, and coordinating across engineering, product, and business stakeholders.
• Design, build, and maintain high-performance, low-latency backend systems and trading infrastructure in C# and Go, with a relentless focus on throughput, reliability, and correctness.
• Define and enforce engineering best practices across the team, including code quality standards, testing strategies, and deployment processes.
• Proactively identify and address technical debt, performance bottlenecks, and reliability risks before they become production incidents.
• Mentor and develop engineers - providing constructive technical guidance, supporting career growth, and helping others expand their scope of ownership.
• Collaborate with frontend engineers to deliver cohesive platform features, and contribute directly to React-based tooling and interfaces when needed.
• Be a dependable presence on-call and in production - owning issues through to resolution and documenting learnings as repeatable processes.
• Drive cross-team alignment on platform capabilities, dependencies, and roadmap priorities.

Qualifications

Required

• Expert-level C# development skills - deep understanding of the .NET ecosystem, async/await patterns, performance optimization, and modern C# idioms (.NET 6+).
• Demonstrated experience leading technical architecture for backend or platform systems - producing clear, defensible design decisions with trade-off analysis.
• Hands-on experience with low-latency or high-throughput systems, particularly in financial, trading, or data-intensive environments.
• Strong proficiency with systems-level debugging, profiling, and performance tuning.
• Experience with RESTful API design, WebSockets, and asynchronous/event-driven architectures.
• Strong understanding of databases including schema design, query optimization, and transactional integrity (PostgreSQL, MySQL, or similar).
• Proficiency with CI/CD pipelines, automated testing strategies, and modern DevOps tooling.
• Frontend fluency - comfortable reviewing, contributing to, or coordinating with React-based frontend work.
• Reliable and dependable - you follow through, communicate proactively, and treat your commitments seriously.
• Strong written and verbal communication skills; comfortable driving alignment across engineering, product, and business stakeholders.

Preferred

• Familiarity with functional programming paradigms - comfortable applying immutability, pure functions, and composition patterns to write more predictable, testable code.
• Proficiency in Go - comfortable writing production-grade services, APIs, and platform tooling.
• Experience with React or modern frontend frameworks - able to contribute to or own frontend platform tooling when needed.
• Familiarity with Python for scripting, tooling, or data processing.
• Experience with Kubernetes and container orchestration in production environments.
• Background in trading, futures, prop trading, or fintech - you understand the domain, the stakes, and the performance expectations.
• Familiarity with distributed systems patterns: message queues (Kafka, RabbitMQ), caching strategies (Redis), and service-to-service communication.
• Exposure to observability tooling: Prometheus, Grafana, structured logging, and distributed tracing.
• Experience operating in multi-team engineering organizations with shared codebases or platform dependencies.

Position Summary

Join MyFundedFutures as a senior, hands-on engineer to design, build, and maintain our core backend systems, platform infrastructure, and frontend tools.  Someone who takes strong, informed positions on architecture and technology options, while remaining pragmatic and adaptable to the realities of a fast-moving trading platform business.

You thrive in environments where financial accuracy, system uptime, and developer productivity are equally critical and you treat dependability as a non-negotiable professional standard.

Key Responsibilities

• Serve as the technical lead across platform and backend engineering — owning architecture decisions, facilitating cross-team coordination, and ensuring consistent development standards.
• Design, build, and maintain core backend services and APIs using Django/Python and Go, with a focus on reliability, performance, and scalability.
• Proactively identify and address technical debt, performance bottlenecks, security risks, and reliability gaps before they become production incidents.
• Mentor and develop engineers across the team — providing clear, constructive technical guidance and helping others grow in ownership and scope.
• Contribute to frontend development in React, particularly around platform integrations and internal tooling.
• Be a dependable presence on-call and in production — you take ownership of issues through to resolution and document your learnings as repeatable processes.

Qualifications

Required

• Strong ability to write well-structured, idiomatic, Python and Go with a deep understanding of the Django ecosystem.
• Hands-on experience integrating payment systems (Stripe, Worldpay, Braintree, or similar)
• Demonstrated ability to lead technical architecture discussions and produce clear, defensible design decisions with appropriate trade-off analysis.
• Experience with RESTful API design, WebSockets, and asynchronous/event-driven architectures.
• Strong understanding of databases (PostgreSQL, MySQL, Elasticsearch) including schema design, query optimization, indexing and transactional integrity.
• Proficiency with CI/CD pipelines, automated testing strategies, and modern DevOps tooling.
• React (or similar) development experience — comfortable contributing to or reviewing frontend work within a full-stack platform context.
• Reliable and dependable – you follow through, communicate proactively, and treat your commitments seriously.
• Strong written and verbal communication skills; comfortable driving alignment across engineering, product, and business stakeholders.

Preferred

• Background in trading, futures, prop trading, or fintech environments — you understand the domain, the stakes, and the performance expectations.
• Experience with Kubernetes and container orchestration in production environments.
• Familiarity with distributed systems patterns: message queues (Kafka, RabbitMQ), caching strategies (Redis), and service-to-service communication.
• Experience operating in multi-team engineering organizations with shared codebases or platform dependencies.
• Exposure to observability tooling: Prometheus, Grafana, structured logging, and distributed tracing.

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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