高级领域专家
Senior Domain Expert
你是否希望赋能组织,构建更智能的薪酬策略,同时确保所有员工获得公平的薪酬?
Syndio 是领先的薪酬治理和薪酬智能平台。我们帮助组织在薪酬生命周期的每个阶段——从职级评定和录用决策到晋升和绩效加薪——做出更好的薪酬决策。我们的平台为人力资源、薪酬和财务负责人提供他们需要的数据和决策支持,以公平、合规且有信心地管理薪酬。我们与许多全球最知名和受尊敬的企业合作,帮助他们通过专家指导实施前沿的薪酬解决方案,并在全球范围内分析超过 1000 万员工的薪酬。
加入我们,共同实现帮助公司做出可信赖的更明智薪酬决策的使命!
关于该职位
Syndio 是薪酬公平性和薪酬决策智能领域的领导者,帮助全球最大的雇主在大规模范围内做出公平、有说服力和透明的薪酬决策。随着 Decisions 进入全面可用阶段,我们的企业影响力不断扩大,推荐背后的定量深度也必须同步提升。
高级领域专家(劳动经济学、统计学或工业组织)是 Applied Pay Intelligence 团队中一位亲力亲为的量化实践者。你将直接与客户合作,这是一个高级个人贡献者角色,负责带领一个小团队。当方法论需要经得起审查时,客户、我们的产品以及团队其他成员都会向你寻求帮助。
你将负责 Syndio 方法论和资产库的某个领域,构建 1:many 的资源,将你的专业知识扩展到整个客户群,与产品团队直接合作,将方法论嵌入 Decisions 和 Essentials,并出现在需要确保数据和逻辑准确的客户对话中。你将把定制分析转化为产品需求,并在设计和实施计划方面为产品和开发团队提供支持,与数据科学和开发团队合作,确保产品能推动我们整体福利客户的成果。
为什么这份工作令人兴奋
- 领导一个小组。你将作为个人贡献者,但会负责 Syndio 方法论和内容的一个领域——比较组逻辑、回归建模、补救方法或相关领域。指导小组的路线图,确定优先事项,并对交付的工作保持技术标准。
- 将方法论应用于合规性、公平性和透明度要求严格的场景,确保我们的产品能够满足客户对精准和可靠性的需求。
查看英文原文
Do you want to empower organizations to build smarter compensation strategies while ensuring fair pay for all employees?
Syndio is the leading pay governance and compensation intelligence platform. We help organizations make better pay decisions at every stage of the compensation lifecycle, from leveling and offers to promotions and merit. Our platform gives HR, compensation, and finance leaders the data and decision support they need to govern pay fairly, compliantly, and with confidence. We partner with many of the world’s most recognized and respected enterprises, helping them implement leading-edge compensation solutions with expert guidance and analyzing pay for over 10 million employees across the world.
Join us in our mission to help companies make smarter pay decisions they can trust!
About the role
Syndio is the leader in compensation equity and pay decision intelligence, helping the world's largest employers make fair, defensible, and transparent pay decisions at scale. As Decisions moves to general availability and our enterprise footprint grows, the quantitative depth behind our recommendations has to keep pace.
The Senior Domain Expert (Labor Economics, Statistics, or IO) is a hands-on quantitative practitioner on the Applied Pay Intelligence team. You work directly with our customers and are a senior individual contributor role that leads a small squad. You are the person our customers, our product, and the rest of the team turn to when the methodology has to hold up under scrutiny.
You own an area of Syndio's methodology and asset library, build the 1:many resources that scale your expertise across the customer base, partner directly with Product to embed methodology into Decisions and Essentials, and show up in the customer conversations where the numbers and the reasoning have to be right. You will translate custom analytics into product requirements and support product and development teams as needed on design and implementation plans, partner with the data science and development teams to ensure the product helps advance the outcomes of our total rewards customers.
Why this job is exciting
- Lead a squad. You will be an individual contributor but you will own an area of Syndio's methodology and content — comparator group logic, regression modeling, remediation methodology, or a related domain. Guide the squad's roadmap, prioritize what gets built, and hold the technical bar for the work that ships.
- Apply methodology in complex customer situations. Work through the statistical questions customers can't resolve inside the product: unusual workforce structures, small-group modeling, contested comparator choices, novel regulatory tests. Bring the methods, explain the tradeoffs, defend the approach.
- Build 1:many resources. Turn recurring methodological questions into durable content — customer briefings, methodology guides, model documentation, worked examples — so recurring questions do not require a recurring meeting.
- Partner with Product. Work directly with Product and AI teams to embed methodology into Decisions and Essentials. Translate quantitative rigor into product logic, review model outputs, catch the edge cases before customers do.
- Show up for the moments that matter. Anchor customer QBRs, regulatory inflection points, and board-adjacent conversations where the methodology has to hold. Not every meeting — the ones where getting the math and the framing right changes the outcome.
- Feed the frameworks upward. Surface what current frameworks don't yet cover. Bring specific customer patterns and methodological gaps to the Principal-level colleagues and to Product so the platform's intelligence keeps compounding.
About you
- 5+ years of hands-on quantitative work in labor economics, statistics, econometrics, industrial-organizational psychology, or a directly related field, applied to compensation, workforce, or pay equity questions.
- Deep facility with regression modeling and comparator methodology. You can build a defensible pay equity model, explain what it does and does not tell you, and defend the choices behind it in front of a non-technical audience.
- Demonstrated ability to translate quantitative rigor into language a CHRO, a works council, or a CSM can act on, without losing the substance.
- Experience embedding methodology into a product, a tool, or a repeatable workflow that other people execute — not just running the analysis yourself.
- Strong judgment on the difference between what the data supports and what the customer wants it to say, and comfort holding that line.
- Track record of building content, documentation, or enablement materials that reduce reliance on your calendar over time.
- Comfort thinking about how quantitative expertise translates into AI-mediated product capability.
- Experience in HR tech, compensation, people analytics, or a similarly data-intensive enterprise domain is a strong plus.
Why you'll love it here:
- 💰 Competitive Compensation. For this role our salary is targeted at $143,000 -$160,000 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 -
The interview overview
Below you'll find an outline of the interview plan for our Senior Domain Expert 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 (VP Applied Pay Intelligence)
- 45 minute zoom interview with a Product partner
- Panel interview with Applied Pay Intelligence team members - 1 hour
- Final interview with executive - 30 minutes
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.
Originally posted on Himalayas