Syndio
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Senior Manager, Application Support (East Coast, USA)
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Do you want to empower organizations to build smarter compensation strategies while ensuring fair pay for all employees?
Syndio is a Series C technology company leveraging advanced technology and responsible AI to accelerate decision-making, streamline compliance, and democratize insights for consistent, equitable compensation practices at scale. Backed by $83M in investments from Bessemer Venture Partners, Voyager Capital, and Emerson Collective, we are expanding our team and products to help companies align their rewards strategies with their business goals.
Our customers are our greatest asset. Syndio partners with many of the world’s most recognized and respected enterprises, helping them implement leading-edge compensation solutions with expert guidance. We analyze pay for over 10 million employees across dozens of countries, ensuring fair, defensible rewards that drive better business outcomes.
Join us in our mission to help companies make smarter pay decisions they can trust!
About the role
Syndio is transforming how companies understand and act on workplace equity — and as we launch new daily-use products into the market, the way we support customers needs to transform too. We're looking for a Senior Manager to define and own the vision for what customer support looks like in an agentic future: a lean, AI-native function that scales with product growth, stays close to customers, and serves as a high-signal feedback loop between users and engineering.
This is a rolling the sleeves builder role. You'll inherit a technically sharp, high-trust team and a clear mandate: architect a support function where intelligent AI agents handle the majority of interactions autonomously, human effort is reserved for what requires genuine judgment, and the gap between incoming ticket volume and resolved ticket volume is continuously closing — without proportional headcount growth.
You'll need to be as comfortable designing a multi-agent orchestration system as you are coaching a team member through a difficult customer conversation. The right person for this role sees agentic AI not as a tool to bolt onto existing processes, but as the foundation to build from.
What you'll own
Vision and strategy for agentic support. You'll define what the support function needs to look like as AI capabilities evolve — setting the architecture for how customer-facing agents, orchestration layers, and human escalation paths fit together. This isn't a roadmap you inherit; it's one you build and continuously refine as the technology and the product surface area change.
Customer-facing agent design and operations. You'll own the build-out of an AI-native support layer — designing the agents customers interact with, the knowledge bases that power them, the escalation logic that routes edge cases to humans, and the quality standards that govern all of it. You're not enabling a tool; you're designing a system.
Analytical rigor and business decision support. You'll own the metrics that matter: ticket inflow rates, autonomous resolution rates, escalation patterns, time-to-resolution, and the gap between incoming and resolved volume. You'll use this data to make and support business decisions — including when to deploy additional agent capacity, when to invest in knowledge base coverage, and where human support is still the right answer.
Team leadership and development. You'll manage, coach, and grow a team that operates at the intersection of technical investigation, customer empathy, and engineering partnership. You'll own performance development, create clarity on roles and expectations, and build a culture where people do their best work.
Agentic bug triage and resolution. You'll formalize how AI agents are used in the bug investigation and resolution workflow — defining which categories of issues are in scope for agent-assisted diagnosis, establishing human review gates, and working with engineering to make the workflow fast and safe.
Cross-functional partnership. Support sits at the center of the product feedback loop. You'll maintain strong working relationships with Engineering, Customer Success, and Product — ensuring that patterns in support data flow into sprint planning and that escalations move quickly when they need to.
Scaling for product growth. With multiple products launching in 2026, you'll own the readiness plan — ensuring agents, processes, and the team are prepared for a significant increase in ticket volume from daily-use products with larger, more diverse user bases.
What we're looking for
A vision for the agentic future of support. You have a clear, informed point of view on where AI-native support is heading — and the experience to back it up. You've thought deeply about multi-agent systems, orchestration, customer-facing agents, and where the human layer belongs in all of it.
Technical fluency. You don't need to be an engineer, but you need to be credible in technical conversations. You're comfortable reading logs, understanding how a web application works end to end, and forming a clear hypothesis about what's broken and why. Experience with observability tooling, agent orchestration platforms, or workflow systems is a strong plus.
AI and automation depth. You've built or operated AI-assisted support workflows with real production usage. You think natively about leverage points — where agents compound, where they break down, and how to design for both.
Analytical capability. You're fluent in support metrics and know how to build the instrumentation to track what matters. You can look at inflow vs. resolution trends and translate them into business recommendations with confidence.
Customer empathy and communication. You understand that every ticket represents a real person with a real problem. You set the standard for how your team and your agents communicate with customers — clearly, honestly, and with genuine care for their experience.
Operational rigor. You know how to design a workflow, measure what matters, and iterate. You've built support processes that scale — not just documented the ones that exist.
People leadership. You've managed high-performing teams and know how to develop ICs who are already excellent. You give feedback directly and create an environment where people grow.
Experience
- 8+ years in technical support, engineering operations, or a related function
- 2+ years managing people
- Demonstrated experience building or scaling support operations at a SaaS company
- Hands-on experience designing or operating AI-assisted support workflows, customer-facing agents, or multi-agent orchestration systems
- Hands-on experience with Zendesk or a comparable enterprise support platform at an operational or administrative level
- Experience working closely with engineering teams and contributing to cross-functional processes like sprint planning or incident review
What success looks like in year one
By the end of your first year, you've articulated and begun executing a clear multi-year vision for AI-native support. Customer-facing agents are handling the majority of L1 tickets autonomously. Agent-assisted workflows have materially shortened bug resolution cycles. You're tracking inflow and resolution rates with enough precision to make confident capacity recommendations. And the team is operating as a strategic function — not a help desk — with ticket volume growing and manual effort not growing with it.
- 💰 Competitive Compensation. For this role our base salary is targeted at $158-185k 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 within the following approved East Coast states: CT, DC, FL, GA, MD, MA, NJ, NY, OH, PA, RI, SC, VT, and VA #LI-Remote
Interview overview
Below you'll find an outline of the interview plan for our Senior Manager, Applications Support position. Please note that while this is what we expect the process to look like, we may ask you for supplemental information or require an additional step before making a final decision.
- Recruiter Screen - 25min
- Hiring Manager - 30min
- Loop - Three 30-45 min video calls with departmental peers and cross-functional team members - 2hrs max
- Final Interview - Engineering Leader - 30min
At Syndio, we're building a diverse team that values candor, curiosity, and community. If you share these values and are interested in joining us, we'd love to talk with you even if you don't 100% meet the "about you" listed here. We don't expect anyone to have all the answers, as long as you're willing to learn and grow with us.
Syndio is an Equal Opportunity Employer. We are building an inclusive and collaborative workplace as we grow, and we welcome team members regardless of gender/identity, sexual orientation, race or cultural background, religion, physical disability and age.
Ready to apply?
Apply to Syndio
Do you want to empower organizations to build smarter compensation strategies while ensuring fair pay for all employees?
Syndio is a Series C technology company leveraging advanced technology and responsible AI to accelerate decision-making, streamline compliance, and democratize insights for consistent, equitable compensation practices at scale. Backed by $83M in investments from Bessemer Venture Partners, Voyager Capital, and Emerson Collective, we are expanding our team and products to help companies align their rewards strategies with their business goals.
Our customers are our greatest asset. Syndio partners with many of the world’s most recognized and respected enterprises, helping them implement leading-edge compensation solutions with expert guidance. We analyze pay for over 10 million employees across dozens of countries, ensuring fair, defensible rewards that drive better business outcomes.
Join us in our mission to help companies make smarter pay decisions they can trust!
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.
- 💰 Competitive Compensation. For this role our salary is targeted at $217,000 - $235,000 CAD per year. Final offer amounts are determined by factors such as experience and expertise.
- 🏆 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, and compassion leave.
Paid parental leave- 🏥 Additional Private Medical coverage
- 📍 Remote-First (within commuting distance of Calgary) #LI-Remote
The interview overview
Below you'll find an outline of the interview plan for our Senior Director, Engineering position. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision.
- 30 min interview with a member of our Talent Team
- 45 minute zoom interview with the Hiring Manager
- Three video interviews with several team members - 2.5 hours
- Final interviews with CTO - 1 hour
At Syndio, we're building a diverse team that values candor, curiosity, and community. If you share these values and are interested in joining us, we'd love to talk with you even if you don't 100% meet the "about you" listed here. We don't expect anyone to have all the answers, as long as you're willing to learn and grow with us.
Syndio is an Equal Opportunity Employer. We are building an inclusive and collaborative workplace as we grow, and we welcome team members regardless of gender/identity, sexual orientation, race or cultural background, religion, physical disability and age.
Ready to apply?
Apply to Syndio
Do you want to empower organizations to build smarter compensation strategies while ensuring fair pay for all employees?
Syndio is a Series C technology company leveraging advanced technology and responsible AI to accelerate decision-making, streamline compliance, and democratize insights for consistent, equitable compensation practices at scale. Backed by $83M in investments from Bessemer Venture Partners, Voyager Capital, and Emerson Collective, we are expanding our team and products to help companies align their rewards strategies with their business goals.
Our customers are our greatest asset. Syndio partners with many of the world’s most recognized and respected enterprises, helping them implement leading-edge compensation solutions with expert guidance. We analyze pay for over 10 million employees across dozens of countries, ensuring fair, defensible rewards that drive better business outcomes.
Join us in our mission to help companies make smarter pay decisions they can trust!
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.
- 💰 Competitive Compensation. For this role our salary is targeted at $238,000-$280,000 per year. 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, and voting leave.
- Paid parental 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
- Fully remote model - #LI-Remote
The interview overview
Below you'll find an outline of the interview plan for our Senior Director, Engineering position. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision.
- 30 min interview with a member of our Talent Team
- 45 minute zoom interview with the Hiring Manager
- Three video interviews with several team members - 2.5 hours
- Final interviews with the CTO - 1 hour
At Syndio, we're building a diverse team that values candor, curiosity, and community. If you share these values and are interested in joining us, we'd love to talk with you even if you don't 100% meet the "about you" listed here. We don't expect anyone to have all the answers, as long as you're willing to learn and grow with us.
Syndio is an Equal Opportunity Employer. We are building an inclusive and collaborative workplace as we grow, and we welcome team members regardless of gender/identity, sexual orientation, race or cultural background, religion, physical disability and age.
Ready to apply?
Apply to Syndio
Staff Software Developer, AI (Calgary, Canada)
Share this job
Do you want to empower organizations to build smarter compensation strategies while ensuring fair pay for all employees?
Syndio is a Series C technology company leveraging advanced technology and responsible AI to accelerate decision-making, streamline compliance, and democratize insights for consistent, equitable compensation practices at scale. Backed by $83M in investments from Bessemer Venture Partners, Voyager Capital, and Emerson Collective, we are expanding our team and products to help companies align their rewards strategies with their business goals.
Our customers are our greatest asset. Syndio partners with many of the world’s most recognized and respected enterprises, helping them implement leading-edge compensation solutions with expert guidance. We analyze pay for over 10 million employees across dozens of countries, ensuring fair, defensible rewards that drive better business outcomes.
Join us in our mission to help companies make smarter pay decisions they can trust!
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.
The Interview Overview:
Below you'll find an outline of the interview plan for our Staff AI Developer position. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision.
- 30 min - Phone call with a member of our Talent Team
- 75 min - Zoom interview with the Hiring Manager
- Skills Evaluation - Take-home Assignment
- 75 hr - Technical Interview with Team
- 30 min - Executive Interview
At Syndio, we're building a diverse team that values candor, curiosity, and community. If you share these values and are interested in joining us, we'd love to talk with you even if you don't 100% meet the "about you" listed here. We don't expect anyone to have all the answers, as long as you're willing to learn and grow with us.
Syndio is an Equal Opportunity Employer. We are building an inclusive and collaborative workplace as we grow, and we welcome team members regardless of gender/identity, sexual orientation, race or cultural background, religion, physical disability and age.
Ready to apply?
Apply to Syndio
Staff Software Developer, AI (USA)
Share this job
Do you want to empower organizations to build smarter compensation strategies while ensuring fair pay for all employees?
Syndio is a Series C technology company leveraging advanced technology and responsible AI to accelerate decision-making, streamline compliance, and democratize insights for consistent, equitable compensation practices at scale. Backed by $83M in investments from Bessemer Venture Partners, Voyager Capital, and Emerson Collective, we are expanding our team and products to help companies align their rewards strategies with their business goals.
Our customers are our greatest asset. Syndio partners with many of the world’s most recognized and respected enterprises, helping them implement leading-edge compensation solutions with expert guidance. We analyze pay for over 10 million employees across dozens of countries, ensuring fair, defensible rewards that drive better business outcomes.
Join us in our mission to help companies make smarter pay decisions they can trust!
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.
The Interview Overview:
Below you'll find an outline of the interview plan for our Staff AI Developer position. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision.
- 30 min - Phone call with a member of our Talent Team
- 75 min - Zoom interview with the Hiring Manager
- Skills Evaluation - Take-home Assignment
- 75 hr - Technical Interview with Team
- 30 min - Executive Interview
At Syndio, we're building a diverse team that values candor, curiosity, and community. If you share these values and are interested in joining us, we'd love to talk with you even if you don't 100% meet the "about you" listed here. We don't expect anyone to have all the answers, as long as you're willing to learn and grow with us.
Syndio is an Equal Opportunity Employer. We are building an inclusive and collaborative workplace as we grow, and we welcome team members regardless of gender/identity, sexual orientation, race or cultural background, religion, physical disability and age.
Ready to apply?
Apply to Syndio
Senior Site Reliability Engineer (Calgary, Canada)
Share this job
Do you want to empower organizations to build smarter compensation strategies while ensuring fair pay for all employees?
Syndio is a Series C technology company leveraging advanced technology and responsible AI to accelerate decision-making, streamline compliance, and democratize insights for consistent, equitable compensation practices at scale. Backed by $83M in investments from Bessemer Venture Partners, Voyager Capital, and Emerson Collective, we are expanding our team and products to help companies align their rewards strategies with their business goals.
Our customers are our greatest asset. Syndio partners with many of the world’s most recognized and respected enterprises, helping them implement leading-edge compensation solutions with expert guidance. We analyze pay for over 10 million employees across dozens of countries, ensuring fair, defensible rewards that drive better business outcomes.
Join us in our mission to help companies make smarter pay decisions they can trust!
About the Role
We are looking for a skilled and motivated Senior Site Reliability Engineer (SRE) who will design, implement, maintain, and evolve solutions that increase the reliability and availability of our applications and systems. We strive for close collaboration, shared ownership, and constant learning. As a Senior SRE, you will apply software principles to ensure our applications are designed to eliminate single points of failure, provide maximum observability, and experienced failures are resolved quickly and efficiently.
We are looking for someone who is passionate about SRE practices and methodologies to solve business requirements, constantly seeking new techniques, tools, and solutions to enhance our systems. As a startup in a fast-paced high growth environment, we are looking for an engineer that isn't bound by principles assigned to traditional engineering roles. You’ll be exposed to, develop skills in, and be responsible for work that may at times fall into the traditional world of platform, data, security, and software engineering. We use Kubernetes and Terraform almost exclusively in a 100% cloud-based environment, and are looking for an SRE who is still growing, comfortable in their knowledge of these technologies, and has relevant experience managing Kubernetes applications in an SRE role.
- Be a critical member in our engineering organization designing, implementing, managing, and reviewing infrastructure and application operational and architectural state
- Design, implement, and operate production systems using best practices in automation, monitoring, and observability
- Collaborate with developers, SRE’s, and other engineers to ensure smooth deployments, minimize downtime, maximize observability, share knowledge, and contribute to continuous improvement initiatives
- Experiment with cloud infrastructure environments and services
- Technologies you will work with: GCP, Kubernetes, Terraform, Helm, Datadog, Python, Go, and more
- Participate in 24/7 on-call rotation- (https://status.synd.io/)
About You
- 5+ years of experience in Site Reliability Engineering or similar role operationalizing and maintaining cloud services
- Strong experience with Infrastructure as Code (IaC) tools such as Terraform
- Strong experience with Linux, Kubernetes, Helm and public cloud platforms such as GCP
- Experience with monitoring and alerting tools such as Datadog.
- Experience with CI/CD pipelines and GitOps model for deployment
- Ability to diagnose technical problems, debug code, and automate routine tasks
- Experience in Python and/or Go programming language is a plus
- Experience with security best practices for cloud deployments is a plus
- You are self-disciplined, self-motivated, and have strong sense of ownership, urgency, and drive
- You are available and willing to step in for emergency response and incident management
- You assume positive intent, are humble and eager, expect the best from yourself, value partnership over perfection, and provide grace and understanding in stressful situations
- 💰 Competitive Compensation. For this role our base salary is targeted at $130k-145k CAD. Final offer amounts are determined by factors such as experience and expertise
- 🏆 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
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Within 1 month, you’ll complete a comprehensive and supportive onboarding process and be able to make isolated contributions to the product, developer tooling, and infrastructure
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Within 3 months, you’ll have a grasp of the complete set of components (services, tools, configuration, etc.) that make up the product and infrastructure. You will continue to make contributions. You will be a full member of the on-call rotation.
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Within 12 months, you’ll be able to suggest and implement complex changes to the infrastructure, developer tooling, and capacity planning.
Interview overview
Below you'll find an outline of the interview plan for our Senior Site Reliability Engineer position. Please note that while this is what we expect the process to look like, we may ask you for supplemental information or require an additional step before making a final decision.
- Recruiter Screen - 25min
- Hiring Manager - 30min
- Take-home Skills Evaluation
- Loop - Three 30-45 min video calls with departmental peers and cross-functional team members - 2hrs max
- Final Interview - Engineering Leader - 30min
At Syndio, we're building a diverse team that values candor, curiosity, and community. If you share these values and are interested in joining us, we'd love to talk with you even if you don't 100% meet the "about you" listed here. We don't expect anyone to have all the answers, as long as you're willing to learn and grow with us.
Syndio is an Equal Opportunity Employer. We are building an inclusive and collaborative workplace as we grow, and we welcome team members regardless of gender/identity, sexual orientation, race or cultural background, religion, physical disability and age.
Ready to apply?
Apply to Syndio