Owns the operational backbone of Syndio's product marketing function, maintaining the systems, content, and intelligence that help Sales, SE, and field teams go to market with clarity and confidence. This role sits at the intersection of product, marketing, and sales, and is the connective tissue that keeps Syndio's market-facing story accurate, accessible, and battle-tested. Reports to the Sr. Director, Product Marketing and Brand.

 

Product Messaging and Content

• Maintain and version all customer-facing product messaging, ensuring collateral, web pages, and enablement assets reflect current positioning at all times
• Own Syndio's product content library, including feature one-pagers, capability matrices, packaging comparisons, and use-case narratives, so Sales and SE can find what they need without re-requesting it
• Partner with Content and Creative to refresh assets when product or positioning changes, managing timelines and intake so nothing falls through the cracks
• Translate product roadmap updates and release notes into plain-language summaries that field teams can act on immediately

Go-to-Market Execution

• Coordinate product launch execution end-to-end, including building launch briefs, managing asset production timelines, and ensuring Sales has what it needs before GA
• Support the development of demo scripts, SE talking points, and persona-specific value narratives for new products and packaging tiers
• Partner with Sales Enablement to identify gaps in field readiness and prioritize support accordingly

Competitive Intelligence

• Stand up and maintain Syndio's competitive intelligence program under the direction of the Sr. Director, building the tracking infrastructure, source list, and reporting cadence from the ground up
• Monitor key competitors on an ongoing basis across positioning, pricing, features, packaging, and customer feedback signals
• Synthesize findings into regular competitive briefs and battlecards that Sales can use in active deals
• Flag emerging threats and category shifts to marketing and sales leadership in real time

Win/Loss

• Stand up Syndio's win/loss program, including interview guide development, outreach process, and a consistent reporting format that makes findings actionable for Sales and leadership
• Conduct or coordinate win/loss interviews with recent buyers and lost prospects, in partnership with Sales and CS
• Maintain a living repository of win/loss themes, with regular synthesis shared across Sales, Marketing, and Product
• Surface patterns that inform positioning, objection handling, and competitive response

Review and Analyst Platform Management

• Own Syndio's presence on G2, Gartner Peer Insights, and comparable platforms, including profile accuracy, review generation campaigns in partnership with CS and Customer Marketing, and response strategy
• Monitor and report on review trends, competitive standing, and platform-driven traffic as part of a regular marketing intelligence cadence

Cross-Functional Collaboration

• Act as a primary liaison between Product and Marketing, attending relevant product standups or reviews, surfacing marketing implications of roadmap decisions, and ensuring the marketing org has full visibility into roadmap decisions and can move in lockstep with product releases.
• Support analyst relations prep by building background materials, capability summaries, and competitive context for briefings
• Bring a consistent point of view on how the market perceives Syndio relative to competitors, and share it proactively across teams

• Significant experience  in product marketing, competitive intelligence, market research, or a closely related field, ideally in B2B SaaS
• Strong written communication skills with the ability to distill complex product and market information into clear, usable content for Sales and field teams
• You've built programs before, not just contributed to them. You will be standing up the win/loss and competitive intelligence functions.
• A researcher's instinct and a storyteller's sensibility, able to find the signal in market noise and translate it into positioning that resonates
• Experience with tools like G2, Gartner Peer Insights, Crayon, Klue, or similar competitive and review platforms is a plus
• Highly organized and able to manage multiple workstreams with competing timelines without losing detail quality
• Collaborative by nature, this role touches nearly every team and requires someone who builds relationships easily and follows through consistently

We are seeking a Forward Deployed Engineer to serve as the technical architect and execution lead for our most critical client implementations. You will be a founding member of a team dedicated to the "last mile" of the Syndio experience - ensuring that our customers’ complex data environments are seamlessly integrated into our platform and clients can be onboarded into our platform with minimum effort. 

In this role, you aren’t just "onboarding" a client; you are building the data foundations that allow enterprise leaders to make fair, confident pay decisions. You will work at the intersection of Software Engineering and Solutions Architecture, using our new Implementation Platform and cutting-edge AI tools to transform disparate data into Decision Intelligence.

• Hands-on Technical Execution: Own the end-to-end technical implementation for strategic clients, from initial data ingestion to complex group configurations in the Syndio platform.
• Innovate with AI: Use advanced AI prompt engineering to navigate product exceptions and architect creative solutions for unique client edge cases that "out of the box" features don't yet cover.
• Drive True Adoption: Ensure the platform isn't just "live"; it’s embedded. You will design configurations that make Syndio an indispensable part of a client’s daily HR and compensation workflow.
• Modern Tech Stack: Work with modern integration tools and help migrate existing clients to our new, high-scale Implementation Platform.
• Cross-Functional Impact: You will provide direct feedback to the Core Engineering and Product Teams and in some cases directly build the core product to help shape.

Basic Requirements:

• 3-5+ years of experience as a Software Engineer, Forward Deployed Engineer, or Technical Solutions Consultant in a B2B SaaS environment.
• Technical Proficiency: Strong hands-on experience with SQL and Python for data transformation and ETL processes.
• AI Prompting Mastery: Proficiency in leveraging LLMs and AI prompting to accelerate complex implementations, automate data mapping and resolve technical product exceptions.
• Integration Expertise: Experience working with APIs and modern iPaaS / Integration tools to move data between enterprise systems (HRIS, ATS, Payroll).
• Client-Centric Vision: Ability to lead technical deep-dives with client stakeholders, translating their business needs into platform configurations.
• Operational Excellence: Proven ability to manage multiple complex technical workstreams simultaneously while maintaining high quality and documentation standards.

About You:

• You are a "Technical Visionary": You don't just follow a checklist; you look at a client’s data and requirements, and see the most efficient path to value.
• You Thrive on Complexity: You enjoy the "puzzle" of mapping messy, real-world enterprise data into a structured platform.
• You are a Strong Communicator: You can explain a complex SQL join to a non-technical HR leader and a product roadmap to a backend engineer.
• You are an Early Adopter: You are excited about using AI to augment your workflow and are constantly looking for ways to automate repetitive implementation tasks.\
• You Value Partnerships: You work well cross-functionally and understand that successful implementations require a blend of technical precision and empathetic customer service.

We're sharpening focus. Essentials is our foundational pay equity and pay analytics platform — the one most of our customers use every day, the platform that anchors our customer relationships, and what funds the company. It deserves a dedicated owner.

This person will own the platform that defines Syndio for the majority of our customers today: the analyses, the workflows, and the Data Hub that ingests and reconciles HR and compensation data for every customer we serve. Essentials is what funds the company, anchors our customer relationships, and earns us the right to build everything that comes next.

The mandate is clear. Keep Essentials sharp, fast, and reliable. Modernize it for the AI-native future. Make it the platform our customers tell us they wish more of their software felt like.

• Multiple engineering teams across the Essentials product surface, including Data Hub. You'll inherit strong managers and engineers who have been delivering — your job is to give them an even sharper edge.
• Roadmap and delivery. End-to-end ownership of what ships, when, and at what quality bar. Partner closely with product, GTM, and customer success so the cadence is something the whole company can plan against.
• Platform modernization. Drive AI-augmented engineering practices, agent-friendly architecture, and tighter customer feedback loops. Make speed and quality compound — not trade off against each other.
• Customer outcomes. Reduce time-to-value for new customers. Reduce friction for existing ones. Make the platform stickier with every release.
• Cross-functional partnership. Work shoulder-to-shoulder with peer engineering and product leaders across the company. Workstreams reinforce each other; they don't compete.
• Hiring, leveling, and growth. Build a team that delivers at our standard, develops people, and raises the bar with every hire.

• You've owned a multi-team, customer-facing engineering organization at meaningful scale, ideally in B2B SaaS serving enterprise customers.
• You've shipped, repeatedly. Track record of getting product out the door and improving while running — not in long planning cycles disconnected from customer reality.
• You think in systems and outcomes, not tickets. You can hold a roadmap, a budget, and a team, and you don't lose the customer in the middle of it.
• You're an AI-native operator. You've actually used modern AI tooling to change how your team builds — not just talked about it. You see this as table stakes, not a curiosity.
• You partner well with product and GTM. You know how to stand up a delivery rhythm that makes sales, CS, and marketing predictable.
• You're direct, candid, and high-trust. You push back when something's off. You don't sugarcoat. You expect the same from your team.
• You believe in crawl, walk, run. Bias to action and learning over perfect plans built in a vacuum.

Extra Credit

• Experience in HR tech, compensation systems, HRIS integrations, or pay equity / pay analytics.
• Background scaling a data-heavy platform — ingestion, normalization, customer-specific schemas, multi-tenant data modeling.
• Have led an established product through a meaningful re-platforming or AI-native rebuild.

 

We're sharpening focus. Essentials is our foundational pay equity and pay analytics platform — the one most of our customers use every day, the platform that anchors our customer relationships, and what funds the company. It deserves a dedicated owner.

This person will own the platform that defines Syndio for the majority of our customers today: the analyses, the workflows, and the Data Hub that ingests and reconciles HR and compensation data for every customer we serve. Essentials is what funds the company, anchors our customer relationships, and earns us the right to build everything that comes next.

The mandate is clear. Keep Essentials sharp, fast, and reliable. Modernize it for the AI-native future. Make it the platform our customers tell us they wish more of their software felt like.

• Multiple engineering teams across the Essentials product surface, including Data Hub. You'll inherit strong managers and engineers who have been delivering — your job is to give them an even sharper edge.
• Roadmap and delivery. End-to-end ownership of what ships, when, and at what quality bar. Partner closely with product, GTM, and customer success so the cadence is something the whole company can plan against.
• Platform modernization. Drive AI-augmented engineering practices, agent-friendly architecture, and tighter customer feedback loops. Make speed and quality compound — not trade off against each other.
• Customer outcomes. Reduce time-to-value for new customers. Reduce friction for existing ones. Make the platform stickier with every release.
• Cross-functional partnership. Work shoulder-to-shoulder with peer engineering and product leaders across the company. Workstreams reinforce each other; they don't compete.
• Hiring, leveling, and growth. Build a team that delivers at our standard, develops people, and raises the bar with every hire.

• You've owned a multi-team, customer-facing engineering organization at meaningful scale, ideally in B2B SaaS serving enterprise customers.
• You've shipped, repeatedly. Track record of getting product out the door and improving while running — not in long planning cycles disconnected from customer reality.
• You think in systems and outcomes, not tickets. You can hold a roadmap, a budget, and a team, and you don't lose the customer in the middle of it.
• You're an AI-native operator. You've actually used modern AI tooling to change how your team builds — not just talked about it. You see this as table stakes, not a curiosity.
• You partner well with product and GTM. You know how to stand up a delivery rhythm that makes sales, CS, and marketing predictable.
• You're direct, candid, and high-trust. You push back when something's off. You don't sugarcoat. You expect the same from your team.
• You believe in crawl, walk, run. Bias to action and learning over perfect plans built in a vacuum.

Extra Credit

• Experience in HR tech, compensation systems, HRIS integrations, or pay equity / pay analytics.
• Background scaling a data-heavy platform — ingestion, normalization, customer-specific schemas, multi-tenant data modeling.
• Have led an established product through a meaningful re-platforming or AI-native rebuild.

The Manager, Growth Marketing owns the execution of digital demand generation programs that drive new pipeline and support customer expansion. This role is responsible for the day-to-day operation of paid media, SEO/AEO tactics, and nurture programs — building and running the channels that move prospects and customers through the funnel.

This role works within the Revenue Marketing team. Strategy, account prioritization, and program sequencing are set by the Sr. Director of Revenue Marketing; the Manager, Growth Marketing executes the digital and programmatic programs that bring that strategy to life.

 

Digital demand generation

• Execute paid search, paid social, display/retargeting, and content syndication programs in support of pipeline targets set by Revenue Marketing
• Implement SEO and AEO tactics in partnership with the SVP of Marketing and Content team
• Run A/B testing and conversion rate optimization across landing pages, forms, and CTAs
• Track and report on conversion from lead to qualified pipeline, including MQL-to-SQL rates and channel-level performance

Nurture and lifecycle programs

• Build and manage nurture sequences, lead scoring logic, and lifecycle email programs within the marketing automation platform
• Support programmatic customer growth through automated adoption sequences, expansion triggers, and engagement programs
• Partner with CS and Revenue Marketing on lifecycle and expansion program execution

Marketing operations collaboration

• Work with the marketing ops function on Salesforce/HubSpot reporting, attribution, and data hygiene
• Coordinate on lead management, routing, and lead scoring optimization
• Serve as a day-to-day point of contact with marketing ops, flagging issues and keeping programs running cleanly

• 4–6 years of experience in demand generation, growth marketing, or digital marketing in B2B SaaS
• Hands-on experience with CRM and marketing automation platforms (HubSpot preferred)
• Comfortable owning paid media execution across search, social, and display
• Familiarity with multi-touch attribution models and pipeline reporting
• Experience building or maintaining nurture and lifecycle programs
• Analytical and detail-oriented, with a bias toward action over analysis
• Experience with intent signal platforms (6sense, Demandbase) is a plus
• Comfortable operating with some ambiguity and building programs without a lot of pre-existing infrastructure

What success looks like

• Paid media campaigns are live, optimized, and tied to clear pipeline targets within 30 days of start
• AEO tactics are implemented and Syndio appears in top results on ChatGPT, Perplexity, and other AI search tools for target queries
• Nurture programs are running with measurable conversion rates and clear visibility into where leads qualify or fall out
• Reporting is clean and attribution is reliable — pipeline reviews are grounded in numbers the team trusts

About the role:

We are seeking a talented Staff-level AI Developer to join our applied AI team. In this role, you will be responsible for designing, building, and scaling our AI systems that solve complex problems related to compensation and compliance. You’ll work closely in a cross-functional squad that includes data scientists, software engineers, product managers, and business stakeholders. 

You will have the opportunity to work at the forefront of AI innovation–exploring emerging tools and techniques while translating them into production-ready solutions that deliver real business impact.

Why this job is exciting:

• Design, develop, and deploy production AI/ML systems that deliver business impact to our customers. 
• Build and maintain LLM-based applications leveraging context engineering techniques and toolsets. 
• Collaborate with data scientists to transition approved proof of concepts from a research environment into production. 
• Integrate AI capabilities into existing products and services through APIs and microservices.
• Design and implement evaluation frameworks to assess model accuracy, reliability, and task-specific performance.
• Monitor production performance and implement optimizations based on evaluation metrics and real-world usage patterns.
• Stay up-to-date with the rapid changes in the AI landscape (e.g., new foundation models, quantization techniques) and prototype new ideas quickly.

About you:

• Proficiency developing clean modular and efficient code with Python
• Track record building and deploying AI systems within Google Cloud Platform, familiarity with BigQuery, Firebase, and Vertex AI
• Working knowledge of Google Gemini, OpenAI, and Anthropic APIs
• Familiarity with evaluation methodologies for assessing LLM accuracy, hallucinations, and task-specific performance
• Exposure to—or strong interest in—vector databases, semantic search, agent frameworks, and protocols like MCP for connecting AI systems to external tools and data sources
• Fluent with AI-assisted development tools (Cursor, Claude Code, GitHub CoPilot)
• Foundational knowledge of machine learning concepts, model architectures, and LLM capabilities and constraints
• Natural curiosity and passion for staying current with rapidly evolving AI technologies
• Ability to balance innovation with practical business requirements
• Adaptable when navigating ambiguity and rapidly shifting priorities
• Comfortable communicating technical concepts and trade-offs to non-technical stakeholders

Bonus Points:

• Bachelor's degree in Computer Science, Machine Learning, Mathematics, Statistics, Data Science, or quantitative field OR equivalent hands-on experience in a related professional industry

How we work:

• We believe in starting simple, soon — progress over perfection. We value architectural clarity and execution speed. You’ll be joining a small, ambitious team committed to high trust, low ego collaboration. It’s a dynamic environment where teams embrace ambiguity, adapt quickly to change, and move fast to seize opportunity. As such, we empower engineers to make bold moves and back it up with a culture that supports learning through iteration.
• Applicants must currently reside within commuting distance of Calgary, Alberta, Canada for consideration. Relocation is not currently offered.
  • Kindly note, you must also be eligible to work in Canada legally, as we are NOT able to provide visa support or transfer at this time.

• 💰 Competitive Compensation. For this role our base salary is targeted at $205-240k CAD. Final offer amounts are determined by factors such as experience and expertise. We take a geo neutral approach to compensation within the US, meaning that we pay based on job function and level, not location. 
• 🏆 Syndio Equity. So you can share in Syndio’s success.
• 🏝 20 days annually. We encourage our team to recharge when they need to, plus paid sick & safe time, compassion leave, and voting leave. 
• 🏦 Pension Contribution
• 📍 Remote-First with opportunities for local meet-ups in Calgary #LI-Remote 

Role progression:

• Month 1: Immediate Impact
  From day one, you'll be immersed in our platform, infrastructure, and codebase. We expect a rapid learning curve and the ability to quickly contribute. A key deliverable for your first month will be deploying a feature that demonstrates your grasp of our systems and your ability to execute effectively.
  
• Month 2: Proactive Contribution
  You'll move beyond the initial learning phase and take a proactive role in identifying opportunities for improvement. This will involve deep dives into our endpoints, independent problem-solving, and a demonstrated ability to iterate and enhance our product.
  
• Month 3: Driving Innovation
  By the third month, you'll be a fully integrated member of our AI team, operating at full capacity. This includes active participation in technical discussions, independent execution of complex tasks, and the ability to propose and implement innovative technical solutions.

About the role:

We are seeking a talented Staff-level AI Developer to join our applied AI team. In this role, you will be responsible for designing, building, and scaling our AI systems that solve complex problems related to compensation and compliance. You’ll work closely in a cross-functional squad that includes data scientists, software engineers, product managers, and business stakeholders. 

You will have the opportunity to work at the forefront of AI innovation–exploring emerging tools and techniques while translating them into production-ready solutions that deliver real business impact.

Why this job is exciting:

• Design, develop, and deploy production AI/ML systems that deliver business impact to our customers. 
• Build and maintain LLM-based applications leveraging context engineering techniques and toolsets. 
• Collaborate with data scientists to transition approved proof of concepts from a research environment into production. 
• Integrate AI capabilities into existing products and services through APIs and microservices.
• Design and implement evaluation frameworks to assess model accuracy, reliability, and task-specific performance.
• Monitor production performance and implement optimizations based on evaluation metrics and real-world usage patterns.
• Stay up-to-date with the rapid changes in the AI landscape (e.g., new foundation models, quantization techniques) and prototype new ideas quickly.

About you:

• Proficiency developing clean modular and efficient code with Python
• Track record building and deploying AI systems within Google Cloud Platform, familiarity with BigQuery, Firebase, and Vertex AI
• Working knowledge of Google Gemini, OpenAI, and Anthropic APIs
• Familiarity with evaluation methodologies for assessing LLM accuracy, hallucinations, and task-specific performance
• Exposure to—or strong interest in—vector databases, semantic search, agent frameworks, and protocols like MCP for connecting AI systems to external tools and data sources
• Fluent with AI-assisted development tools (Cursor, Claude Code, GitHub CoPilot)
• Foundational knowledge of machine learning concepts, model architectures, and LLM capabilities and constraints
• Natural curiosity and passion for staying current with rapidly evolving AI technologies
• Ability to balance innovation with practical business requirements
• Adaptable when navigating ambiguity and rapidly shifting priorities
• Comfortable communicating technical concepts and trade-offs to non-technical stakeholders

Bonus Points:

• Bachelor's degree in Computer Science, Machine Learning, Mathematics, Statistics, Data Science, or quantitative field OR equivalent hands-on experience in a related professional industry

How we work:

We believe in starting simple, soon — progress over perfection. We value architectural clarity and execution speed. You’ll be joining a small, ambitious team committed to high trust, low ego collaboration. It’s a dynamic environment where teams embrace ambiguity, adapt quickly to change, and move fast to seize opportunity. As such, we empower engineers to make bold moves and back it up with a culture that supports learning through iteration.

• 💰 Competitive Compensation. For this role our base salary is targeted at $215-255k USD. Final offer amounts are determined by factors such as experience and expertise. We take a geo neutral approach to compensation within the US, meaning that we pay based on job function and level, not location. 
• 🏆  Syndio Equity. So you can share in Syndio’s success.
• 🏝  Flexible Vacation Policy. We encourage our team to recharge when they need to, plus paid sick & safe time, compassion leave, parental leave, and voting leave. 
• 🩺  Medical, Dental, Vision. Syndio pays 90% of employee premiums, and 50% for dependents.
• 🏥  Life Insurance & Disability. Syndio covers the full premium.
• 🏦 401(k). To help you save for your future
• 📍 Remote-first for candidates living in the following approved U.S. states: AZ, CA, CO, CT, DC, FL, GA, ID, IL, IA, MD, MA, MN, NE, NJ, NY, OH, OR, PA, RI, SC, SD, TX, UT, VT, VA, WA, and WI #LI-Remote

Role progression:

• Month 1: Immediate Impact
  From day one, you'll be immersed in our platform, infrastructure, and codebase. We expect a rapid learning curve and the ability to quickly contribute. A key deliverable for your first month will be deploying a feature that demonstrates your grasp of our systems and your ability to execute effectively.
  
• Month 2: Proactive Contribution
  You'll move beyond the initial learning phase and take a proactive role in identifying opportunities for improvement. This will involve deep dives into our endpoints, independent problem-solving, and a demonstrated ability to iterate and enhance our product.
  
• Month 3: Driving Innovation
  By the third month, you'll be a fully integrated member of our AI team, operating at full capacity. This includes active participation in technical discussions, independent execution of complex tasks, and the ability to propose and implement innovative technical solutions.

As Syndio's go-to-market organization scales, we're seeking a GTM Sr. Executive Assistant to provide dedicated, high-quality administrative and operational support to our SVP, Revenue and SVP, Marketing — both based in EST and CT time zones. This role is central to enabling our revenue and marketing leaders to move fast, stay aligned, and focus on strategy.

This role sits at the intersection of executive administration and GTM operations, requiring someone who is proactive, highly organized, and comfortable working independently in a fast-paced environment. You'll own complex scheduling, logistics, and office management for our Seattle location, and serve as a key partner to senior leadership as they drive Syndio's growth.

 

Serve as a partner to GTM executives, enabling them to focus on revenue growth and market impact.

• Own complex, multi-timezone calendar management for senior leaders, navigating competing priorities with precision and sound judgment.
• Manage sophisticated domestic and international travel arrangements, proactively anticipating changes and adapting plans on the fly.
• Support preparation for executive meetings, QBRs, board materials, customer-facing events, and GTM offsites.
• Coordinate cross-functional logistics for GTM team initiatives, including sales kickoffs, marketing events, and executive briefings.
• Manage day-to-day Seattle office operations, including vendor coordination, supplies, space management, and team logistics.
• Maintain and organize GTM-related tools and systems (Salesforce, Gong, ClientSuccess) to support executive visibility into pipeline and performance.
• Own the integration of AI tools into your daily workflows, proactively finding new ways to create efficiencies for yourself and the executives you support
• Handle expense reporting and budget tracking for supported executives with accuracy and timeliness.
• Provide additional project support during peak periods or company-wide initiatives.
• Own logistics execution for GTM events  including sales kickoffs, marketing offsites, and executive briefings covering venue coordination, vendor management, attendee logistics, and on-site operations. (Event strategy and creative direction sit with the marketing team; your job is to make sure every detail is handled.)

You are a self-starter who operates with minimal direction, solves problems independently, and exercises strong judgment about when to escalate. You bring:

• Experience in the tech industry, ideally across both enterprise and startup settings
• Demonstrated experience supporting senior executives, within a sales or marketing environment.
• Expertise managing complex, multi-timezone travel schedules with the ability to pivot quickly when plans change.
• Strong organizational skills and attention to detail — you catch things others miss and take pride in having it right the first time.
• Excellent written and verbal communication skills, with the ability to represent executives professionally in all interactions.
• The ability to work independently, handle ambiguity, and maintain composure under shifting priorities

Required Technical Experience

Hands-on working knowledge of the following GTM tools is required:

• Proficiency in Google Workspace (Gmail, Calendar, Drive, Docs, Sheets).
• Salesforce — navigating accounts, opportunities, and activity data in support of executive visibility.
• Gong — supporting executives in reviewing call recordings, preparing for customer meetings, and tracking pipeline signals.
• Working knowledge of AI tools (Claude, ChatGPT, Gemini) for drafting, synthesis, and workflow automation, including the ability to build simple, repeatable processes using these tools, not just use them on a task-by-task basis.

Nice to Have

• Familiarity with DocuSign, Notion, or similar productivity and contract management tools.
• Experience supporting marketing or revenue leaders in a SaaS or B2B environment.
• Event planning and execution experience for executive or GTM events.
• Experience with procurement and vendor management in an office setting.

What Success Looks Like

You will operate with limited direction and independently scope and implement solutions. Within your first 60–90 days, you will have:

• Established seamless executive support for the SVP, Revenue and SVP, Marketing — minimizing scheduling conflicts, proactively managing travel logistics, and building strong working relationships Demonstrated command of GTM tooling (Salesforce, Gong, ClientSuccess), enabling you to anticipate executive needs and surface relevant information without being asked.
• Taken ownership of Seattle office operations, creating a consistently organized, professional environment for the team.
• Earned trust as a reliable, proactive partner — someone executives can count on to own important tasks end-to-end and surface risks before they become problems.
• You don't just use AI tools: you build with them. You're comfortable identifying repetitive or documentation-heavy workflows and designing lightweight AI-assisted processes that save the team time. Within 90 days, you'll have identified at least one workflow to streamline using AI tooling.

 

We are seeking a Senior Forward Deployed Engineer to serve as the technical architect and execution lead for our most critical client implementations. You will be a founding member of a team dedicated to the "last mile" of the Syndio experience - ensuring that our customers’ complex data environments are seamlessly integrated into our platform and clients can be onboarded into our platform with minimum effort. 

In this role, you aren’t just "onboarding" a client; you are building the data foundations that allow enterprise leaders to make fair, confident pay decisions. You will work at the intersection of Software Engineering and Solutions Architecture, using our new Implementation Platform and cutting-edge AI tools to transform disparate data into Decision Intelligence.

• Hands-on Technical Execution: Own the end-to-end technical implementation for strategic clients, from initial data ingestion to complex group configurations in the Syndio platform.
• Innovate with AI: Use advanced AI prompt engineering to navigate product exceptions and architect creative solutions for unique client edge cases that "out of the box" features don't yet cover.
• Drive True Adoption: Ensure the platform isn't just "live"; it’s embedded. You will design configurations that make Syndio an indispensable part of a client’s daily HR and compensation workflow.
• Modern Tech Stack: Work with modern integration tools and help migrate existing clients to our new, high-scale Implementation Platform.
• Cross-Functional Impact: You will provide direct feedback to the Core Engineering and Product Teams and in some cases directly build the core product to help shape.

Basic Requirements:

• 3-5+ years of experience as a Software Engineer, Forward Deployed Engineer, or Technical Solutions Consultant in a B2B SaaS environment.
• Technical Proficiency: Strong hands-on experience with SQL and Python for data transformation and ETL processes.
• AI Prompting Mastery: Proficiency in leveraging LLMs and AI prompting to accelerate complex implementations, automate data mapping and resolve technical product exceptions.
• Integration Expertise: Experience working with APIs and modern iPaaS / Integration tools to move data between enterprise systems (HRIS, ATS, Payroll).
• Client-Centric Vision: Ability to lead technical deep-dives with client stakeholders, translating their business needs into platform configurations.
• Operational Excellence: Proven ability to manage multiple complex technical workstreams simultaneously while maintaining high quality and documentation standards.

About You:

• You are a "Technical Visionary": You don't just follow a checklist; you look at a client’s data and requirements, and see the most efficient path to value.
• You Thrive on Complexity: You enjoy the "puzzle" of mapping messy, real-world enterprise data into a structured platform.
• You are a Strong Communicator: You can explain a complex SQL join to a non-technical HR leader and a product roadmap to a backend engineer.
• You are an Early Adopter: You are excited about using AI to augment your workflow and are constantly looking for ways to automate repetitive implementation tasks.
• You Value Partnerships: You work well cross-functionally and understand that successful implementations require a blend of technical precision and empathetic customer service.

We are seeking a Forward Deployed Engineer to serve as the technical architect and execution lead for our most critical client implementations. You will be a founding member of a team dedicated to the "last mile" of the Syndio experience - ensuring that our customers’ complex data environments are seamlessly integrated into our platform and clients can be onboarded into our platform with minimum effort. 

In this role, you aren’t just "onboarding" a client; you are building the data foundations that allow enterprise leaders to make fair, confident pay decisions. You will work at the intersection of Software Engineering and Solutions Architecture, using our new Implementation Platform and cutting-edge AI tools to transform disparate data into Decision Intelligence.

• Hands-on Technical Execution: Own the end-to-end technical implementation for strategic clients, from initial data ingestion to complex group configurations in the Syndio platform.
• Innovate with AI: Use advanced AI prompt engineering to navigate product exceptions and architect creative solutions for unique client edge cases that "out of the box" features don't yet cover.
• Drive True Adoption: Ensure the platform isn't just "live"; it’s embedded. You will design configurations that make Syndio an indispensable part of a client’s daily HR and compensation workflow.
• Modern Tech Stack: Work with modern integration tools and help migrate existing clients to our new, high-scale Implementation Platform.
• Cross-Functional Impact: You will provide direct feedback to the Core Engineering and Product Teams and in some cases directly build the core product to help shape.

Basic Requirements:

• 3-5+ years of experience as a Software Engineer, Forward Deployed Engineer, or Technical Solutions Consultant in a B2B SaaS environment.
• Technical Proficiency: Strong hands-on experience with SQL and Python for data transformation and ETL processes.
• AI Prompting Mastery: Proficiency in leveraging LLMs and AI prompting to accelerate complex implementations, automate data mapping and resolve technical product exceptions.
• Integration Expertise: Experience working with APIs and modern iPaaS / Integration tools to move data between enterprise systems (HRIS, ATS, Payroll).
• Client-Centric Vision: Ability to lead technical deep-dives with client stakeholders, translating their business needs into platform configurations.
• Operational Excellence: Proven ability to manage multiple complex technical workstreams simultaneously while maintaining high quality and documentation standards.

About You:

• You are a "Technical Visionary": You don't just follow a checklist; you look at a client’s data and requirements, and see the most efficient path to value.
• You Thrive on Complexity: You enjoy the "puzzle" of mapping messy, real-world enterprise data into a structured platform.
• You are a Strong Communicator: You can explain a complex SQL join to a non-technical HR leader and a product roadmap to a backend engineer.
• You are an Early Adopter: You are excited about using AI to augment your workflow and are constantly looking for ways to automate repetitive implementation tasks.\
• You Value Partnerships: You work well cross-functionally and understand that successful implementations require a blend of technical precision and empathetic customer service.