About the Role

The Benefits Administrator provides essential support in ensuring excellence in our benefits operations. This role is focused on the accurate execution of daily administrative tasks, data integrity, compliance support, and the maintenance of operational processes for our employee benefits programs.

Please note: this is a 1 year fixed term contract and we require an immediate joiner

What you will do:

• Operational Support and Process Execution
• Process Execution: Execute daily tasks related to benefit administration, including ensuring accuracy in enrollments, eligibility changes, and vendor data exchanges in an efficient manner.
• Process Documentation: Assist in maintaining and organizing departmental documentation, including Standard Operating Procedures (SOPs), process workflows, and benefit plan summaries.
• Continuous Improvement Support: Identify and propose efficiency opportunities in existing processes; assist in the execution of continuous process improvements.
• Employee Support: Serve as a point of contact for routine employee benefit inquiries.
• Data Integrity & Analysis Assistance
• Data Reconciliation: Perform routine data reconciliation checks between payroll records, HRIS, and vendors to ensure accuracy and resolve discrepancies.
• Automation Support: Support the implementation of process improvements by testing new system configurations and documenting changes to existing workflows.
• Compliance Support: Gather documentation for required annual filings and disclosures, and ensure operational adherence to regulations.
• Reporting Assistance: Generate standard operational reports and assist in preliminary analysis of benefit utilization and cost reports.
• Stakeholder & Vendor Coordination
• Internal Coordination: Serve as a key point of contact for basic operational queries, collaborating with Global Ops, HRIS, and Payroll teams to ensure accurate data flow.
• Vendor Support: Coordinate day-to-day operational communication with benefit vendors, escalating complex eligibility or system issues to senior team members.
• Communications Support: Assist in preparing and distributing benefit communication materials across the organization to support employee education.

What we’re looking for:

Minimum requirements:

• Experience: 0-2 years of experience in an administrative role, office management, or HR support.
• Technical Acumen: Proficiency with HRIS/Benefits Administration systems is a plus. Strong foundational data manipulation and analysis skills using MS Excel / Google Sheets (familiarity with VLOOKUPs and Pivot Tables).
• Regulatory Knowledge: Basic familiarity with global and/or domestic benefits regulations is preferred.
• Detail Orientation: Exceptional organizational skills and a demonstrated ability to manage detailed data accurately and efficiently.
• Communication: Strong written and verbal communication skills, with a customer service orientation.
• Problem-Solving: Demonstrated aptitude for troubleshooting and resolving basic system or data discrepancies.

About The Position:

As a Sr Human Resource Associate, within our Regional Shared Service Centre you will join a fast-growing company and will have responsibility for supporting professionals we engage on behalf of our client. You will assist in the management of the back-end HR, Payroll, and legal service providers that support the infrastructure of our international entities. We are looking for someone with global exposure and experience throughout APAC & UAE.

Please note: this is a 9 month fixed term contract and we are ideally looking for someone who can start immediately

What you will do:

• Support key employee life cycle processes such as onboarding of new professionals, professionals' data management, absence managements, visa renewals. transfers, offboarding of professionals.
• Preparing HR documentation, i.e. employment contracts, employment contract amendments, HR policies, benefits enrollment documentation, payroll enrollment documentation, country-specific onboarding guides,employment certificates, certification of termination
• Organize and maintain employee records via our proprietary Platform: input, update and maintain customer & professional personal data, process various forms related to documenting human resources activities such as new hire, change of status, benefits, terminations, etc.
• Benefits administration on behalf of customers & professionals including collaboration with broker/insurer for professionals’ benefits enrollments.
• Provide payroll data, including time and expense details, to support payroll administration, working in close coordination with the payroll team and Local Payroll Provider.
• Carry out audits and checks on data changes to ensure accurate and timely payment for the professionals
• Participation in the continuous improvement of HR processes and assist in maintaining standard operating procedures and policies up to date
• Communicate effectively both verbally and in written form with professionals and our customers to explain and resolve queries and concerns (via email, and other means of communication)
• Ensure service excellence by following and committing to the established SLAs and SOPs
• Communicate and liaise with GP partners/vendors, including insurance vendors, local service providers, local payroll providers, pension providers ensuring strong collaboration and seamless coordination including internal teams in GP.
• First point of contact for professionals& customers during the onboarding and offboarding process

What we are looking for:
Minimum Requirements

• 2-5 years of HR operations experience (SSC experience desirable)
• Detailed knowledge of HR Procedures and policies
• Experience working within a Shared Services
• Basic knowledge of labor legislation throughout APAC & UAE region will be an added advantage
• Excellent customer service skills.
• Proficient in both written and verbal English with the ability to articulate clearly and effectively in various communication settings. 
• Literacy with MS Office 
• Possess a proactive 'test-and-learn' mindset; capable of quickly mastering and deploying new AI features and platforms due to fast pace environment. 
• Demonstrated AI literacy with the ability to integrate generative AI tools (e.g.,Gemini, Notebook LM) into daily workflows to increase efficiency and output quality. 
• Resourceful, problem-solving abilities with a focus on identifying and/or resolving issues effectively.
• Experience in stakeholder management, including building positive relationships with both internal and external stakeholders.
• Demonstrating strong self-motivation, attention to detail, and time management skills
• Ability to work in an international team composed of team members in different locations and from different cultures and backgrounds.
• Flexibility to accommodate different time zones based on customer and professional needs.

Preferred Qualifications

• Knowledge and experience in handling offboardings will be an added advantage.
• Proficiency in local languages such as Mandarin, Vietnamese, Korean, Japanese, or Thai would be considered an additional advantage.

About this Position

As a Support Specialist, you will have responsibility for supporting customers and professionals throughout the region. You will be a part of our Support Team supporting HR, IT, Finance, and benefits queries. In this role, you will handle all day to day queries with resolution for all the in-scope verticals.

What you'll do:

• Managing customer relationships and addressed concerns in a timely manner SaaS Model
• Present a well-rounded skill set that combines technical acumen with essential soft skills like leadership, adaptability, and problem-solving
• Tailored to meet the evolving demands of customer relationship management.
• Developed and executed omnichannel engagement strategy, boosting customer satisfaction scores by 95%.
• Triage prioritizes by assessing and sorting the urgency of tickets
• Utilize Zendesk & GPP to track customer interactions and maintain accurate records.
• Dedicated Support on Platinum & Gold Customer Support
• Present a well-rounded skill set that combines technical acumen with essential soft skills like leadership, adaptability, and problem-solving, tailored to meet the evolving demands of customer relationship management.
• Serve as the first point of contact for professionals on any HR, IT, or Finance related inquiries
• Communicate effectively both verbally and in written form with professionals and our customers to explain and resolve queries and concerns (via email, phone and other means of communication)

What we're looking for:

• 3-5 years of Global Shared Services with at least six months of experience in handling HR related Shared Services activities (Hire to Retire Model) / IT Level 1 Support / Finance Shared Services answering Queries relating to Payroll, Billing, Invoices / Benefits Support Queries / Related Queries in Tier 1 model (Any Two combination preferred)
• Proficient in both written and verbal English; Resourceful, problem-solving aptitude and thorough knowledge of HR procedures and policies
• Strong Knowledge in Zoho & GPP
• Customer oriented with ability to adapt/respond to diverse customer base
• Excellent organizational and time-management skills
  • Proven work experience in similar shared services position
  • Ability to work in international team comprised of team members in different locations and from different cultures and backgrounds
  • Ability to work in a dynamic, rapidly changing environment
  • Ability to manage and meet expected SLAs and KPI
  • Meticulous attention to detail/ Literacy with MS Office

We will consider for employment all qualified applicants who meet the inherent requirements for the position. Please note that background checks are required, and this may include criminal record checks.

Please Note: Shift: Wednesday to Sunday 10:00 pm IST to 7:00am IST

G-P helps organizations build global teams in minutes, not months. As part of this mission, we’ve created an indispensable AI agent for HR leaders, G-P Gia™ .

Gia is our AI-powered global HR agent that provides HR compliance guidance instantly. Built on over a decade of global employment and legal expertise and 100,000+ vetted articles, Gia analyzes and generates compliant documents and delivers the answers that HR leaders trust — reducing reliance on outside legal counsel and cutting compliance costs by up to 95%.

About The Position

We’re building GIA - the AI for General Counsel, in-house legal teams, and HR teams — helping them operate faster and smarter before problems escalate. GIA is structured like a Startup that demands extreme ownership and relentless speed and a bias for shipping over talking. If you need permission to act, this isn't for you.

This is a co-founder-level PM role reporting into the Head of Product and Engineering: you own the product end-to-end, talk to customers daily, design solutions, write specs, and ship. No swim lanes, no waiting for permission.

What You Will Do:

• Extreme Product Ownership — discovery, design, specs, delivery, outcomes
• Build the product-led sales engine — onboarding, activation, upgrade triggers, PQLs, viral loops
• Drive integrations — CLMs, HRIS, doc management, email; define data models and API contracts with particular focus on permission models and ethical walls.
• Run product research — competitive analysis, user interviews, workflow mapping, market sizing; synthesize into clear product direction
• Talk to GCs, legal ops, and HR leaders constantly — build conviction from real workflows, not feature requests
• Ship fast — cut scope, measure what matters, kill what doesn’t
• Work across time zones — distributed team across US, India, Ireland, Poland

What we're looking for:

Minimum Requirements:    

• Engineer background — you can read code and reason about systems
• Strong product sense and design ability — problem to wireframe to shipped product
• Product research chops — you run discovery, synthesize qualitative and quantitative inputs, and turn research into roadmap decisions
• Agentic AI fluency — you use Cursor agents, Claude, and similar tools daily
• Product-led sales experience — you’ve built self-serve funnels, activation flows, and usage-based sales signals
• Extreme ownership and speed — you default to action and own outcomes
• Relentless curiosity — contract law, Kubernetes, behavioral psychology, whatever it takes
• Design taste and chops — You can wireframe and develop mid fidelity prototypes where required without a designer
• Core Data Analysis Skills — you can work with product usage data, compliance datasets, and qualitative research to generate insights. 
• Process experience - you can translate real-world HR and legal processes into the product by encoding workflows and business logic

Preferred Qualifications:

• Past founder or co-founder
• Legal or HR domain experience, particularly GC or legal ops
• Integration experience — PRDs covering auth, data mapping, error handling, sync strategies

How we evaluate

• Critique our product live — directness and taste over diplomacy
• Solve a real problem we’re facing — on the spot
• Whiteboard an integration architecture
• Show us something you’ve built that you’re proud of

About This Position:

We are seeking a Technical Program Manager to bridge the gap between high-stakes incident response and the strategic security roadmap. This is a hybrid role: you will be the primary orchestrator during active security events while simultaneously driving the technical execution of our long-term Security roadmap.

You are a technical driver who understands cloud infrastructure and modern attack vectors. You will ensure that lessons learned from today’s incidents become the foundational requirements for tomorrow’s security features. If you thrive in the "calm within the storm" of incident response but enjoy the structured delivery of complex technical programs, this role is for you.

What You Will Do:

Incident Management & Response

• Orchestrate the end-to-end lifecycle of security incidents, from initial detection and triage through to final remediation and recovery.
• Act as the primary communication bridge between technical responders and executive leadership, translating complex technical data into clear, actionable updates.
• Optimize scalable response playbooks to standardize how the organization handles evolving threats and modern attack vectors.
• Lead post-mortem retrospectives to identify systemic gaps and drive the implementation of long-term preventative measures into the engineering backlog.

Technical Roadmap & Program Execution

• Drive the program lifecycle for technical security initiatives, managing everything from initial requirements gathering to deployment and post-launch support.
• Translate business needs into crisp technical requirements that engineering teams can execute against effectively.
• Partner with Security Leadership to ensure initiatives are delivered on time, within scope, and meet our rigorous internal quality standards.
• Identify and mitigate trade-offs, managing technical debt and ensuring that our security solutions are built for long-term scalability.

What We Are Looking For:

Minimum Requirements:

• 3–5 years of experience in technical program management, project management, or a related analyst role.
• Proven ability to manage multiple initiatives simultaneously in a fast-paced, evolving environment. Incident response On-Call availability is necessary. 
• Technical Skills: Understanding of security principles, technologies, and best practices, as well as proficiency in Agile methodologies and tools like Jira or Rally.
• Education: A bachelor's degree in Computer Science, Information Security, or related field, or equivalent work experience.

Preferred Qualifications:

• Certifications (Preferred): Agile certification (e.g., CSM, SAFe) and experience with security frameworks such as NIST, ISO 27001, or SOC 2 are a plus.

#Remote

G-P helps organizations build global teams in minutes, not months. As part of this mission, we’ve created an indispensable AI agent for HR leaders, G-P Gia™ .

Gia is our AI-powered global HR agent that provides HR compliance guidance instantly. Built on over a decade of global employment and legal expertise and 100,000+ vetted articles, Gia analyzes and generates compliant documents and delivers the answers that HR leaders trust — reducing reliance on outside legal counsel and cutting compliance costs by up to 95%.

About The Position:

We’re building GIA — AI for General Counsel, in-house legal teams, and HR teams. GIA is a startup that demands extreme ownership, relentless execution, and zero tolerance for waiting on someone else to make the call. This role sits at the intersection of data science, data engineering, and product analytics. You build the pipelines, run the analysis, train the models, and — most importantly — tell us what the data means for the product. Not dashboards for the sake of dashboards. Insights that change what we build next.

What You Will Do:

• Build and own data infrastructure — pipelines, warehousing, ETL/ELT, data quality; make sure the foundation is solid
• Analyze product usage and user behavior — identify patterns, segment users, surface what matters from the noise; think like a product person, not just a data person
• Build models that ship — LLM-based systems, traditional ML (classification, clustering, NLP), evaluation frameworks; whatever the problem needs
• Define and track the metrics that matter — activation, retention, engagement, PQLs; connect data to product and GTM decisions
• Run experiments and measure impact — A/B tests, causal analysis, cohort studies; rigorous but fast
• Turn data into product conviction — you don’t just hand off charts, you tell the team what to do and why

What We Are Looking For:  

Minimum Requirements: 

• 5+ years across data science, data engineering, and analytics — you do all three, not just one
• Strong SQL and Python — complex queries, data modeling, scripting, analysis; this is your daily toolkit
• Databricks or equivalent modern data platform experience (Snowflake, BigQuery)
• LLM experience — fine-tuning, prompt engineering, embeddings, RAG, evaluation; not just API calls
• Traditional ML depth — classification, regression, clustering, NLP, feature engineering; you pick the right tool for the problem
• Product mindset — you filter signal from noise, understand user behavior, and connect analysis to product decisions
• Pipeline engineering — you build reliable, scalable data pipelines, not notebooks that break in production
• Clear communicator — you present findings to non-technical stakeholders with clarity and conviction

Preferred Qualifications: 

• Experience at an early-stage startup or as a founding data hire
• Built product analytics from scratch — instrumentation, event taxonomy, dashboards, self-serve reporting
• Legal or HR domain experience
• Experience with LLM evaluation and observability (tracing, scoring, drift detection)
• Familiar with dbt, Airflow/Dagster, Spark, or similar orchestration and transformation tools

How we evaluate

• Give you a real dataset and ask what you’d do with it — we want product thinking, not just technical chops
• Walk us through a time your analysis changed a product decision
• Design a data pipeline or model architecture on the whiteboard
• Show us how you’d instrument and measure a new feature from scratch

Interested? Reach out with an example of an insight you uncovered that changed what a team built.

About the Role

As a Senior Data Engineer, you will be the architectural backbone of the AI-native Data Platform. You won't just build pipelines; you will design the self-service frameworks and high-performance engines that power every product and AI workflow across the company.

You will bridge the gap between strategic leadership and technical execution, ensuring that our Databricks Lakehouse scales efficiently to handle hundreds of services while maintaining world-class data reliability and cost-efficiency.

What You Will Do

Architect the Data Platform

• Lead the design and implementation of internal SDKs and self-service frameworks that enable distributed engineering teams to ingest and transform data autonomously.
• Shift from "pipeline building" to "platform engineering," creating reusable patterns for batch and real-time event processing.

Own Platform Performance

• Take full ownership of the cost-effectiveness of the Databricks ecosystem. You will tune Spark execution plans, optimize shuffle partitions, and implement auto-scaling strategies to manage DBU consumption.
• Ensure the platform remains performant as volume grows, managing the trade-offs between latency, throughput, and cloud spend.

Drive Data Contracts & Governance

• Implement Schema-on-Write validation and Data Contracts to ensure data from hundreds of internal services meets strict quality standards before hitting the Bronze layer.
• Partner with the Data Architect & Data Stewards to enforce data privacy (PII), security standards, and metadata lineage across the global ecosystem.

Lead an AI-Infused SDLC

• Champion the use of AI-assisted development tools (e.g., GitHub Copilot, Cursor) to accelerate the engineering lifecycle and improve code quality.
• Mentor engineers on distributed computing best practices, conducting deep-dive code reviews that focus on scalability and maintainability.

What We Are Looking For

• Scale Specialist: 5+ years of experience building and operating production-grade data systems at massive scale.
• Databricks Expert: Deep, hands-on mastery of the Databricks/Spark ecosystem (Delta Lake, DLT, Spark UI debugging, and performance tuning).
• Streaming Veteran: Proven track record of building Real-time/Streaming architectures (Spark Structured Streaming, Kafka, or Kinesis) as a core production requirement.
• Optimisation Mindset: Experience managing and optimizing cloud costs in a high-growth environment.
• Platform Thinker: Experience building APIs, tools, or frameworks used by other internal engineering teams.

About the Role

As a Software Engineer 2 on the Data Platform team, you are a key contributor to the architectural backbone of our AI-native platform. You don’t just build one-off pipelines; you help engineer the reliable frameworks and robust data engines that power every product feature and AI workflow across the company.

Working closely with Senior Engineers, you will develop the systems that ingest, process, and serve data from hundreds of internal services and massive event streams. You will ensure our Databricks Lakehouse remains a high-performance, automated, and trusted foundation for our global ecosystem.

What You Will Do

Build & Enhance Data Platform Systems

• Design and develop core components of the data platform, including high-volume event ingestion pipelines and real-time processing workflows using Apache Spark.
• Develop reusable data access layers and "framework-based" ETL/ELT processes that transform structured business data and event streams into trusted Lakehouse assets.
• Contribute to the development of internal APIs and backend services that enable other engineering teams to interact with the data platform.

Engineer Reliable Data Flows

• Build robust, fault-tolerant pipelines with a focus on data correctness, consistency, and availability.
• Implement schema enforcement and validation gates to maintain strict data governance across systems, preventing "data swamp" scenarios.
• Optimize code and query performance to ensure workloads are both fast and cost-efficient.

Drive Observability & Quality

• Build and own the observability framework (logging, metrics, and alerting) to monitor pipeline health, data freshness SLAs, and system uptime.
• Proactively identify and resolve bottlenecks in production; participate in root-cause analysis and incident response.
• Apply rigorous automated testing (unit, integration, and regression) to all data code to ensure long-term maintainability.

Collaborative Platform Engineering

• Participate in design discussions and code reviews, bringing a software engineering lens to data problems.
• Follow governance and PII handling standards in day-to-day development, ensuring safe logging and access-aware implementations.

What We Are Looking For

• Experience: 3+ years of experience in software engineering, with a track record of building production-grade backend or data systems.
• Databricks/Spark Mastery: Strong hands-on experience with Apache Spark and the Databricks/Delta Lake ecosystem is essential.
• Coding Fundamentals: Expert-level Python and SQL skills, with a deep understanding of software design principles, debugging, and distributed computing concepts.
• Automation Mindset: Experience with CI/CD practices and a working knowledge of Terraform (or similar IaC) to help automate the platform’s lifecycle.
• Reliability Focus: A background in building monitored, observable systems where data quality and validation are treated as first-class citizens.

🌟 What Makes Us Different:

AI-Infused SDLC: We operate in an AI-accelerated environment. We encourage our engineers to leverage AI-first mindset throughout the SDLC from planning to AI-assisted development tools (e.g., GitHub Copilot, Cursor) to increase velocity, automate unit test generation, and focus on high-level architectural challenges rather than boilerplate code.

About The Position:

We’re building GIA — AI for General Counsel, in-house legal teams, and HR teams. GIA is a startup that demands extreme ownership, relentless execution, and zero tolerance for waiting on someone else to make the call. This is a staff-level role reporting to the Head of Product and Engineering where you own entire surfaces of the product — UI, backend, AI, infrastructure — and ship them end-to-end. You write code every day, raise the bar for the team, and treat the product like it’s yours.

What You Will Do:

• Build across the entire stack — React/Next.js frontends, Go and Python services, AI/LLM pipelines, infrastructure
• Own product surfaces end-to-end — you take a problem from design through architecture through shipped, working software
• Build and ship AI agents — design agent architectures, prompt systems, tool-use patterns, evaluation frameworks
• Make infrastructure decisions — deployment, observability, sandboxing, scaling; you build what the team runs on
• Bring product and design sense — you don’t just implement specs, you push back on what’s wrong and propose what’s better
• Mentor and raise the bar — set technical standards, review code with rigor, make the engineers around you faster and sharper
• Ship fast across time zones — distributed team across US, India, Ireland, Poland; you unblock yourself and others

What We Are Looking For:  

Minimum Requirements: 

• 7+ years of engineering experience with depth across frontend, backend, and infrastructure
• Strong in Python, Go, and React/Next.js — you ship production code in all three
• AI-native — you build with LLMs, agents, and tools like Cursor daily, not experimentally
• Systems thinker — you design APIs, data models, and distributed architectures that hold up under pressure
• Product sense — you understand why something should be built, not just how
• Design sensibility — you can spot a bad UX, sketch a better one, and ship it without waiting for a designer
• Extreme ownership and speed — you default to action, own outcomes, and never block on someone else
• Technical leadership — you’ve mentored engineers, set standards, and made teams better

Preferred Qualifications: 

• Past founder or early-stage engineer (employee 1–15)
• Experience building AI agents or agentic systems in production
• Legal or HR domain experience — you understand the workflows you’re building for
• Integration experience — connecting to CLMs, HRIS, doc management, email systems

How we evaluate

• Live coding or system design — a real problem, not leetcode trivia
• Walk us through something you’ve architected and shipped end-to-end
• Critique our product and codebase — tell us what you’d change and why
• Show us how you use AI tools in your own workflow

Interested? Reach out with a link to something you’ve built — a repo, a product, a side project — and tell us why it matters.

About the Role

Lead the org-wide data platform that powers every product and AI workflow across the company — from our award-winning AI-powered Global HR & Compliance Product to the Agentic AI Platform.

This platform is the foundation of every product, feature, and AI-driven decision: it ingests, processes, and serves data from hundreds of internal services, structured business and third-party applications, and 100K+ semi-structured Knowledge articles.

You will have full ownership and technical leadership over this mission-critical platform — shaping architecture, standards, and engineering practices — while enabling distributed teams to deliver reliable, high-quality, and secure data services at scale.

What You Will Do

Lead Data Platform Teams

• Build, mentor, and grow high-performing distributed engineering teams that thrive in a culture of autonomy, ownership, and operational excellence.
• Create an environment where engineers are empowered to innovate, take ownership, and make impactful decisions.

Own the Data Platform Infrastructure

• Lead design, development, and evolution of all core data platform services: streaming/event ingestion, lakehouse, and Knowledge Platform.
• Manage all organizational data flows, including:
• 100K+ semi-structured Knowledge articles
• Structured data from a wide range of business and third-party applications
• Real-time event streams from internal services powering critical workflows
• Ensure operational health, reliability, performance, and cost efficiency of the platform.
• Drive data quality, schema governance, security, and compliance standards that support AI workflows, product development, and business decisions.
• Provide tools, APIs, and best practices that enable product-aligned teams to build pipelines efficiently while following platform standards.
• Balance multiple dimensions of responsibility: security, compliance, cost optimization, reliability, operational monitoring, quality, and governance.

Drive Platform Reliability & Operational Excellence

• Own platform uptime, monitoring, and incident response, ensuring teams can rely on the platform to deliver critical products and AI features.
• Implement proactive validation, monitoring, and alerting to prevent downstream issues.
• Lead root cause analysis and continuous improvement across all services.

Partner with Data Engineering Teams

• Collaborate with product-aligned teams to ensure platform adoption, integration, and best practices.
• Provide guidance and tooling while enabling other teams to deliver features autonomously.

Contribute to Platform Architecture

• Shape technical strategy for distributed systems, streaming infrastructure, lakehouse, and Knowledge Platform.
• Make high-impact architectural decisions affecting all products, AI workflows, and business-critical processes.

Improve Engineering Discipline

• Drive adoption of modern engineering practices: CI/CD, automated testing, documentation, and design reviews.
• Foster a culture of continuous improvement, accountability, and high-quality delivery.

What We Are Looking For

Engineering Leadership

• 12+ years in software or data engineering, with 4+ years leading distributed engineering teams.
• Proven experience building high-performing, autonomous engineering cultures.

Data Platform Expertise

• Hands-on experience designing and operating large-scale data platforms, including streaming/event ingestion, lakehouse infrastructure, and knowledge/semi-structured data systems.
• Familiarity with Databricks, Snowflake, or similar cloud data platforms.
• Strong understanding of distributed data processing, storage, and querying.

Reliability, Governance & Multidimensional Ownership

• Proven experience in platform reliability, monitoring, incident management, and operational excellence.
• Experience defining, enforcing, and monitoring schema governance, data quality, security, and compliance standards.
• Ability to balance cost, performance, reliability, and operational health across complex systems.

Technical Fluency

• Strong programming skills in Python and SQL.
• Experience building tools and APIs for internal engineering teams.
• Ability to guide architectural decisions and design reviews at a high level.

Collaboration & Communication

• Comfortable partnering with multiple engineering teams and stakeholders in a remote-first, distributed environment.
• Exceptional communication skills, able to translate complex technical concepts for non-technical audiences.

• Must-Have Skills

  • Data Platform Architecture
  • Streaming / Event Processing
  • Lakehouse Platforms (Databricks or similar)
  • Knowledge / Semi-structured Data Platform
  • Distributed Data Processing
  • Platform Reliability & Monitoring
  • Schema Governance & Validation
  • AWS Cloud Infrastructure
  • Python & SQL
  • Engineering Team Leadership
  • CI/CD and modern engineering practices

  Nice to Have

  • Experience supporting AI / ML workloads
  • Data governance and cataloging platforms (Atlan, Alation, Collibra, etc.)
  • Experience with internal developer platforms or APIs for engineering teams

  Why You’ll Love This Role

  • Impact: Your work powers every product, AI workflow, and business decision across the company, including mission-critical AI-based PDLC.
  • Autonomy: You set technical strategy and standards for a platform that touches all data and services across the organization.
  • Innovation: Work on cutting-edge distributed systems, lakehouse architecture, and Knowledge Platforms at massive scale.
  Leadership: Build and mentor autonomous, high-performing teams, shaping both technical direction and engineering culture.