About the role

We are seeking a Customer Account Manager who is committed to delivering a strong customer experience and supporting customers throughout their lifecycle with HackerRank. This role is designed for an early-career account manager who is eager to build foundational skills in customer renewals, relationship management, and account operations.

In this role, you will manage a portfolio of SMB customers, ensuring consistent adoption, smooth renewals, and a positive overall experience. You will collaborate closely with teammates and follow established playbooks to support retention and identify straightforward expansion opportunities, with guidance from senior team members.

What you will do 

• Manage a portfolio of SMB customers, executing defined adoption and renewal motions to drive retention and customer satisfaction.
• Conduct regular customer check-ins to ensure customers are realizing value and address questions or issues proactively.
• Support renewal conversations and standard contract processes, escalating complex scenarios as needed.
• Act as a strategic advisor by leading customer and internal teams, removing roadblocks, and accelerating adoption.
• Identify basic expansion or usage opportunities and partner with senior team members when appropriate.
• Maintain accurate customer data, renewal tracking, and activity logging in CRM tools.
• Collaborate with Sales, Product, and Support to ensure a smooth and consistent customer experience.

Who you are

• You bring 1–3 years of experience in a customer-facing role within a SaaS or technology environment, such as account management, sales development representative, customer success, or sales support.
• You are organized, resilient, and comfortable managing multiple priorities in a fast-paced environment.
• You are customer-focused and curious, motivated by understanding customer needs and ensuring a positive, reliable experience.
• Strong written and verbal communication skills, with the ability to explain concepts clearly.

Even better if you have

• Familiarity with HR Tech, recruiting tools, or developer-focused products.
• Comfort engaging with day-to-day customer contacts in HR, Talent, or Engineering teams.
• A collaborative mindset. You work seamlessly across teams, bringing together Support, Product, and Sales to ensure customer needs are met.

You will thrive in this role if

• Are a Captain - you enjoy owning the customer relationship and championing their success.
• Are skilled at engaging HR/Talent & Technical decision-makers, helping them navigate hiring and workforce planning goals.
• Believe in long-term partnerships and being the trusted advisor for your customers.

Compensation

• This sales role is eligible for incentive-based pay, with an annual total potential earnings range of $100,000 to $125,000, including base salary and incentive-based compensation (based on quota attainment).
• This range doesn't include stock options or benefits. Salary may be adjusted based on business needs.
• Final offer may vary based on skills, experience, location, and other compensation components.

About the role

We’re hiring a Senior Go-To-Market TA Partner to accelerate GTM hiring out of our Santa Clara office. This role is built for someone who already speaks GTM quota, pipeline, QBRs, retention, and expansion and can plug into an active motion with minimal ramp. You’ll work closely with leaders to build high-quality GTM teams that directly impact revenue. This is a hands-on, on-site role designed for a recruiter who values ownership, speed, and sharp hiring judgment.

Who you are

• A senior recruiter with 7-8 years of experience hiring for go-to-market, revenue, or customer-facing roles in tech or SaaS
• Deeply familiar with modern GTM motions and metrics-  from quota-carrying roles and pipeline health to renewals, expansion, and churn
• Confident hiring for complex, technical GTM roles
• Known for strong hiring judgment and the ability to assess GTM talent in a real business and revenue context
• A credible GTM storyteller, able to represent roles, teams, and growth narratives clearly to senior candidates
• Comfortable operating in fast-moving, high-ownership environments with minimal process and high expectations

What you’ll do

• Own end-to-end hiring for GTM roles across Sales, Solutions Engineering, Sales Engineering, and Customer Success
• Partner closely with GTM leaders, hiring in the context of quotas, territories, pipeline health, and revenue goals
• Build high-signal pipelines through proactive sourcing and an existing GTM network
• Balance speed and quality, with a strong focus on candidate experience, close rates, and hiring outcomes
• Operate as a true hiring partner, driving decisions rather than managing process

Even better if you have

• Experience recruiting for complex, technical SaaS or product-led companies
• A strong, active network of Solutions Engineers, CAMs and Sales Engineers
• Exposure to supporting fast-scaling or high-growth GTM teams
• Experience hiring across multiple GTM functions in parallel
• Comfort working closely with senior stakeholders in an on-site environment

You’ll thrive in this role if

• Credibility with Sales, Solutions, and Revenue leaders comes naturally
• Outcomes matter more than funnel volume
• Hands-on, decisive work is energising
• Direct impact on growth and revenue is a key motivator

Compensation

• Base salary range: $120,000 – $160,000
• This range doesn't include stock options or benefits. Salary may be adjusted based on business needs.
• Final offer may vary based on skills, experience, location, and other compensation components.

About the team

You will be a key member of the Strategic Accounts Team in North America. Customers include 20% of Fortune 500, including Amazon, Microsoft, Uber, Goldman Sachs, JPMorgan, Ford, Disney, etc. This is stellar opportunity to join a tenured team supported by strong, stable leadership and a history of high achievement.

We are seeking candidates based in a major West Coast metro with convenient access to a major airport. Ideal locations include the San Francisco Bay Area (preferred), Los Angeles/San Diego, or Seattle.

Candidates in the Bay Area are welcome to work from our office on a flexible basis — no set schedule required.

About the role

We are looking for an accomplished sales professional to take full ownership of driving New Business deals with Prospects in organizations Headquartered in North  America with greater than 10,000 Employees. If you thrive in fast-moving environments, love the challenge of building pipeline, and have a strong bias for action you will be successful. This role demands Grit, Collaboration, Creativity, and Extreme Ownership.

What you’ll do

• Drive outbound motion – Identify, target, and engage with customers that need HackerRank’s Developer Skills Platform solutions.
• Identify Opportunities – Partner with Growth Team to identify opportunities and generate demand with strategic prospects.
• Close deals and deliver revenue – Execute with urgency to grow the business.
• Develop strong relationships – Work with key decision-makers in Talent Acquisition, Engineering, HR, L&D, and technical leadership across prospective customers.
• Be the voice of the customer – Provide feedback to the product team to influence the roadmap and enhancements.
• Collaborate cross-functionally – with sales, marketing, product, and customer success teams.
• Maintain accurate forecasts and pipeline visibility, focusing on deal execution, customer health, and expansion readiness.

You will thrive in this role if

• You thrive on building pipelines, chasing deals, and closing wins.
• You excel in ambiguity, thrive in startup-like environments, and create structure where needed.
• You take full ownership of results and do whatever it takes to drive success.
• You simplify complex ideas and effectively articulate value to diverse stakeholders.
• You are customer-obsessed. You deeply understand customer pain points and are driven to solve them.
• Are skilled at engaging HR/Talent & Technical decision-makers, helping them navigate hiring and workforce planning goals.

What you will bring

• 5-10 years of experience in B2B sales, preferably in SaaS, HRTech, or EdTech.
• Proven success in an early-stage startup, thriving in a fast-paced, high-growth environment, would be an advantage.
• Strong hunting and deal-closing skills with a track record of winning new business.
• Experience selling to TA, HR, L&D, and technical leadership is a plus.
• Excellent negotiation and closing skills, ensuring successful deal execution.
• Ability to adapt and iterate based on customer feedback, refining strategies for success.

What you will also bring

• Experience working with Fortune 500 Companies.
• Grit – You have the perseverance and resilience to navigate challenges, stay persistent in solving customer problems, and push forward to deliver meaningful outcomes.
• Curious – You constantly seek to understand your customers’ goals, challenges, and industry trends, asking insightful questions that uncover opportunities.
• Relationship-Oriented – You build deep, meaningful connections with customers, acting as a trusted partner who is invested in their long-term success.
• Strong Communicator – You can articulate complex ideas clearly, tailor messaging to different audiences, and engage effectively with customers and internal teams.
• Expert – You develop a deep understanding of HackerRank’s platform, industry best practices, and customer use cases to provide high-value strategic guidance.
• Organized – You manage multiple accounts, track key milestones, and maintain up-to-date reporting, ensuring customers receive proactive, structured engagement.
• Collaborative – You work seamlessly across teams, bringing together Customer Account Teams, Product, and Marketing, etc., to meet customer needs.

Compensation

This sales role is eligible for incentive-based pay, with an annual total potential earnings range of $200,000 to $250,000, including base salary and incentive-based compensation (based on quota attainment).

About the role

We’re hiring an Enterprise Customer Account Manager who will own relationships with some of our most strategic customers. You’ll guide them through every stage of their journey – from adoption to expansion - driving measurable business impact and long-term success. This role blends strategy, execution, and relationship depth: you’ll act as the captain for your accounts, orchestrating internal and customer teams, solving challenges, and ensuring every customer achieves tangible outcomes with HackerRank.

We are seeking candidates based in a major West Coast metro with convenient access to a major airport. Ideal locations include the San Francisco Bay Area (preferred), Los Angeles/San Diego, or Seattle.

Candidates in the Bay Area are welcome to work from our office on a flexible basis — no set schedule required.

What you’ll do

• Maintain full functional and process knowledge of HackerRank products and services as well as market awareness and knowledge of competitive threats.
• Own and manage your Book of Business (BoB) - driving adoption, retention, and expansion across enterprise customers through deep partnership and measurable outcomes.
• Develop and execute account strategies that connect customer objectives with HackerRank’s mission, ensuring long-term value realization and growth.
• Build trusted relationships with executive sponsors and technical leaders, embedding HackerRank into their hiring and workforce planning.
• Act as the captain for your accounts – leading internal and customer teams, resolving blockers, and accelerating time-to-value.
• Run proactive engagement cadences including QBRs, success check-ins, and executive reviews.
• Structure mutually beneficial commercial terms that promote long-term growth and customer success, balancing value realization with business expansion.
• Maintain accurate forecasts, health metrics, and growth pipelines while ensuring seamless handoffs and transparent reporting.

Who you are

• Bring 5+ years of Saas enterprise account management, ideally in fast-scaling environments.
• Known for your grit and curiosity, you stay resilient through challenges while constantly seeking to understand your customers’ goals, industry shifts, and opportunities to create value.
• Naturally relationship-oriented, you build trust and credibility with Fortune 500 customers, becoming a long-term advisor who drives both strategic and measurable outcomes.
• A strong communicator and collaborator, you simplify complex ideas, engage confidently across audiences, and bring your customer and internal teams together around shared goals.
• Deeply expert in your craft, you combine product mastery with a keen sense of business impact, connecting HackerRank’s platform to customer value.
• Highly organized and outcome-driven, you manage multiple enterprise accounts with precision – balancing structure, transparency, and consistent delivery.

Even better if you have

• Experience working with HR tech or developer ecosystems, especially within enterprise-scale organizations.
• A background in driving multi-product adoption or leading high-growth, customer-centric initiatives.
• Comfort navigating cross-functional complexity to align internal teams and deliver unified customer outcomes.

You will thrive in this role if

• You act like a captain, owning outcomes end-to-end and thriving in fast-moving, high-accountability environments.
• Building long-term partnerships energizes you more than short-term wins.
• You balance empathy with execution - understanding customer pain points while driving tangible business results.
• Excellence, speed, and impact are non-negotiable for you - not trade-offs.

Compensation

This sales role is eligible for incentive-based pay, with an annual total potential earnings range of $200,000 to $250,000, including base salary and incentive-based compensation (based on quota attainment).

About the role

HackerRank’s brand experience team is responsible for ensuring every market touchpoint is authentic and impressive. We care deeply about craft, leveraging technology to augment our skills and our impact, and treat every member as a builder capable of moving the brand forward. The team is growing, and we’re looking for a top-tier design engineer fluent in Framer to help us raise the bar.

This role sits between design and development, working closely with stakeholders across product, marketing, and the executive team to define our vision and then implement it in modern, performant, engaging experiences. You will own the Framer site and its component system, working closely with designers and internal content creators to shape our web marketing pages through polished, production-ready code and an immersive interactive experience.

What you’ll do 

• Own the component library including custom coded components, balancing ambitious motion and interaction with performance and scalability.
• Ensure any custom code is production ready and secure.
• Manage the CMS database, connecting with third-party tools as necessary.
• Collaborate closely with designers and content creators and showcase your own taste and creative talents.
• Ensure pages perform well for international visitors regardless of device size or connection speed, degrading gracefully where necessary without impacting overall experience.
• Rapidly prototype ideas and work with the Framer and Figma MCPs to quickly move from concept to live site.
• Raise the bar on what is possible, pushing ambitious experiences that draw attention.

Who you are

• Have a strong web engineering background, with experience working with JavaScript frameworks, Tailwind, and are comfortable working within a coded design system.
• Have shipped ambitious sites using Framer or Webflow and can showcase how you raise the bar for yourself and others.
• Can demonstrate how you ensure code you write or generate is secure and performant, orchestrating AI to achieve great results.
• Can confidently prototype your own ideas and move quickly between concepts into a final version with minimal outside help.
• Are comfortable with ambiguity and collaborating closely with executive and senior stakeholders to bring a new web experience to life.
• Consider yourself high-agency and proactively look for opportunities to provide impact while working in coordination with multiple contributors.
• Have developed fluency in AI tools and working with agents to multiply your impact.

Even better if you have

• You have experience with CMS platforms and connecting third-party integrations within Framer.
• You have worked with Figma MCPs or other AI-assisted design-to-code workflows and can demonstrate the results.
• You have a background in motion design or advanced CSS animation and can bring a distinctive interactive quality to the web experience.

You will thrive in this role if

• You're as comfortable in code as you are in design. You move fluidly between Framer, a code editor, and a design file, and you take pride in shipping work that's as clean under the hood as it looks on screen.
• Ambiguity doesn't slow you down - it motivates you. You can work alongside executive and senior stakeholders where direction evolves, and you're able to turn loose ideas into polished, live experiences.
• You use AI as a force multiplier, not a shortcut. You've built real fluency with AI tools and agents, and you actively look for ways to raise the quality and pace of your work through them.

Compensation

The base salary range for this role is $150,000 – $180,000, plus a target 10% annual bonus tied to individual and company performance. You will also receive equity (stock options) and a comprehensive package of cash and non-cash benefits.

About the role

Every day, millions of developers use HackerRank to prove their skills. We're looking for a Senior Backend Software Development Engineer who can drive the technical direction of critical backend systems and lead the delivery of high-impact, platform-level initiatives. You will own the architecture and evolution of core backend services, mentor engineers across teams, and be a key technical decision-maker ensuring our platform remains fast, reliable, and scalable as we grow our global user base.

What you’ll do

• Architect, design, and lead the implementation of complex backend systems and services that power core product experiences at scale.
• Define and drive technical strategy for your domain, making key decisions on system design, technology choices, and long-term architectural direction.
• Own the end-to-end reliability and performance of critical backend services, establishing SLOs, monitoring, and incident response best practices.
• Design scalable API frameworks and data models that serve as foundations for multiple product teams and external integrations.
• Lead cross-functional technical initiatives spanning multiple teams, coordinating with frontend, infrastructure, product, and design stakeholders.
• Identify and drive large-scale refactoring efforts, tackling tech debt and evolving legacy systems into modern, maintainable architectures.
• Mentor and grow engineers on the team through design reviews, code reviews, and hands-on technical guidance.
• Contribute to engineering-wide standards, tooling, and processes that raise the bar for code quality and developer productivity.

Who you are

• Senior backend engineer with 3-6 years of experience building and operating production backend systems at scale.
• Expert in at least one modern backend programming language (e.g., Python, Ruby, Go, Java, or Node.js) with strong fundamentals across the stack.
• Proven ability to design and build distributed systems — you've made meaningful architectural decisions around service decomposition, data consistency, fault tolerance, and observability.
• Deep expertise with relational databases (PostgreSQL, MySQL) and NoSQL stores, including schema design, query optimization, and data modeling for high-throughput workloads.
• Strong understanding of caching strategies (Redis/Memcached), asynchronous messaging (Kafka/RabbitMQ), and event-driven architectures.
• Hands-on experience with containerization (Docker/Kubernetes), CI/CD pipelines, and infrastructure-as-code practices.
• Track record of leading technical projects from ambiguous problem statements through to production delivery.

AI fluency

• Deep, hands-on proficiency with AI-powered development tools (e.g., GitHub Copilot, Cursor, Claude Code) — you don't just use them, you've developed workflows and best practices around them that you can teach others.
• Strong working knowledge of LLMs and agentic AI systems — you understand model capabilities, limitations, context management, tool use, and can reason about when and how to integrate AI into backend systems.
• Proven ability to leverage AI across the full software development lifecycle: architecture exploration, implementation, code review, test generation, documentation, incident analysis, and technical writing.
• Solid understanding of AI/ML fundamentals: transformer architectures, embedding models, inference optimization, RAG patterns, fine-tuning vs. prompt engineering trade-offs, and evaluation methodologies.
• Ability to evaluate and make technical recommendations on AI tooling, APIs, and integration patterns for your team and domain — including cost, latency, reliability, and security considerations.
• You actively follow developments in AI research and tooling, can separate hype from real engineering value, and drive adoption of AI-augmented practices within your team.

Even better if you have

• Experience designing and operating systems serving millions of concurrent users with strict latency and availability requirements.
• Deep expertise in system design patterns such as Microservices, CQRS, Event Sourcing, or Domain-Driven Design, with real-world application.
• Significant experience with cloud platforms (AWS, GCP, or Azure), including serverless architectures, managed services, and cost optimization.
• Experience building platform-level APIs, SDKs, or developer tools consumed by internal or external engineering teams.
• A history of driving engineering culture improvements — whether through RFC processes, architecture review boards, or engineering blog contributions.

You will thrive in this role if

• You think beyond the immediate task and consider the long-term health, extensibility, and operational cost of the systems you build.
• You take ownership not just of your own code, but of the overall quality and direction of the systems your team delivers.
• You are energized by ambiguity — you can take a loosely defined problem, structure it, and drive it to a well-engineered solution.
• You lead by influence, earning trust through strong technical judgment and a collaborative, ego-free approach.
• You genuinely enjoy making other engineers better through mentorship, knowledge sharing, and raising the engineering bar.

Compensation

The base salary range for this role is $150,000 – $172,000, plus a target 10% annual bonus tied to individual and company performance. You will also receive equity (stock options) and a comprehensive package of cash and non-cash benefits.

About the role

Every day, millions of developers use HackerRank to prove their skills. We’re looking for a Backend Software Development Engineer who thrives on solving complex architectural problems and delivering high-impact product features. You will be responsible for the server-side logic, database architecture, and the integration of front-end elements. Your work will ensure that our core application remains fast, reliable, and scalable as we continue to grow our global user base.

What you’ll do

• Design, build, and maintain efficient, reusable, and reliable backend code to support new product features and enhancements.
• Develop and integrate RESTful or GraphQL APIs to serve front-end applications and external clients.
• Design and optimize database schemas (SQL and NoSQL) to ensure data integrity and query performance at scale.
• Collaborate with frontend developers, product managers, and designers to translate requirements into robust technical solutions.
• Troubleshoot production issues, identify bottlenecks, and drive performance optimizations across the application stack.
• Write comprehensive unit and integration tests to ensure high code quality and system stability.

Who you are

• Backend engineer with 2+ years of experience in server-side software development.
• Proficient in at least one modern backend programming language (e.g., Python, Ruby, Go, Java, or Node.js).
• Deep understanding of API design principles (REST, GraphQL) and web standards.
• Strong experience with relational databases (PostgreSQL, MySQL) and familiarity with NoSQL stores.
• Knowledge of distributed systems, caching mechanisms (Redis/Memcached), and asynchronous messaging (Kafka/RabbitMQ).
• Familiarity with containerization (Docker) and basic CI/CD workflows.

AI fluency

• Comfortable using AI-powered coding assistants (e.g., GitHub Copilot, Cursor, Claude Code) as a daily part of your development workflow.
• Working familiarity with large language models — you understand what they can and can't do, and can write effective prompts to get useful outputs.
• Experience using AI tools beyond code generation — for planning, writing documentation, drafting test cases, debugging, and code review.
• Basic understanding of AI/ML fundamentals: how LLMs work at a high level (tokens, context windows, inference), common model architectures, and the difference between fine-tuning, RAG, and prompt engineering.
• You stay current with the rapidly evolving AI tooling landscape and are eager to adopt tools that meaningfully improve your productivity.

Even better if you have

• Experience working on high-traffic, customer-facing web applications.
• A strong grasp of system design concepts and architectural patterns (e.g., Microservices, DDD).
• Familiarity with cloud computing platforms (AWS, GCP, or Azure) and serverless technologies.
• Experience optimizing legacy codebases for performance and maintainability.

You will thrive in this role if

• You are passionate about shipping high-quality code that directly solves user problems.
• You take ownership of your work, from initial design through to deployment and monitoring.
• You enjoy breaking down complex requirements into clean, logical, and scalable technical implementations.
• You value collaboration and actively contribute to code reviews and architectural discussions.

Compensation

The base salary range for this role is $150,000 - $172,000, plus a target 10% annual bonus tied to individual and company performance. You will also receive equity (stock options) and a comprehensive package of cash and non-cash benefits.

About the role

Hiring is one of the most consequential decisions a company makes. 3,000+ enterprises rely on HackerRank to get it right. We are now reinventing how that works for the agentic era. The integrity of that system is not a feature. It is the foundation.

Open Problem
The fraud gets smarter every quarter. The models have to keep up.

Integrity isn't about whether you use AI or not; it's about whether you are following the rules. Our integrity system is a portfolio of signals spanning vision, code analysis, browser telemetry, and behavioral sequences. Each signal is independently trained, operates on a different modality, and has its own precision-recall tradeoff and failure distribution. That heterogeneity is not a design choice we made lightly. It reflects the fact that no single modality is sufficient, and that the most informative signal depends heavily on context. A model at 92% precision on today's proxy attempt patterns can sit at 74% within two quarters, not because the model degraded, but because the attack surface shifted and the training distribution did not.

The fusion problem is where current approaches hit a ceiling. Naive aggregation across signals does not work because the signals are not independent and their reliability varies with context. What is needed is calibrated uncertainty at the signal level, a principled way to weight evidence depending on conditions, and the ability to detect when a signal has drifted out of its reliable operating range. The field has good solutions for static multimodal fusion. It does not have good solutions for adversarially non-stationary multimodal fusion where the ground truth labels are expensive, delayed, and partially unobservable.

Latency adds a constraint that rules out many otherwise viable architectures. Inference runs during a live assessment, which bounds what is deployable regardless of accuracy. That means the model quality problem and the systems problem have to be solved together, not sequentially. And the system has to generalize across populations and environments it was not trained on, without encoding the kinds of demographic biases that make a technically accurate classifier practically indefensible.

The honest summary: the current generation of integrity tooling, ours and the market's, has a precision ceiling that the next wave of fraud techniques will break through. Raising that ceiling requires building past what exists, not fine-tuning it.

What you will do

• Standardize how model quality is defined, measured, and reported across all integrity signals. Build the evaluation infrastructure, golden datasets, and benchmarking pipelines that give us and our customers genuine confidence in what we ship
• Own the performance improvement strategy for each signal. Explore newer architectures, emerging research, and different training paradigms. The approach will not be one-size-fits-all; it will be grounded in each signal's maturity, data quality, and what the science actually supports
• Define the ML strategy for new signals from scratch: audio analysis, gaze tracking, behavioral anomalies. Set the architecture, data requirements, and a clear bar for what production-ready looks like before anything ships
• Continuously monitor how assessment fraud tooling is evolving. Evaluate new models as they emerge. Know when to abandon a strategy that is no longer moving the needle
• Systematically surface edge cases, build training data around them, and turn every customer-reported failure into a model that is harder to fool
• Drive strategy-level decisions: which new signals to build, whether to use models at all, and what the evidence says

Who you are

• You have shipped ML systems in production that real users and real businesses depend on
• You have deep intuition for where precision leaks happen and how to find them systematically, not by luck
• You think in systems. A signal's accuracy number, its data pipeline, its serving infrastructure, and its customer-facing outcome are one problem to you
• You care as much about evaluation methodology as model performance. You know that a metric measured wrong is worse than no metric
• You are genuinely curious about adversarial dynamics. The fact that your model will be attacked is interesting to you, not exhausting

Even better if you have

• Experience with multimodal systems in production: vision, audio, or behavioral signal pipelines
• Background in adversarial ML or fraud/anomaly detection
• Publications or open-source work in detection, robustness, or model evaluation
• Prior experience defining what production-ready means for a new signal category from scratch

You will thrive here if

• You find the performance improvement  problem as interesting as the model problem. 
• You are energized by adversarial environments where the threat landscape shifts under your feet and the only valid response is to stay ahead of it. 
• You do not inherit clean problems and optimize within them. 
• You define what the problem even is, and you hold yourself to a higher bar than the one the market has set.

Compensation

The annual US on-target earnings (OTE) range for this role is $120,000 – $235,000 which includes base salary and target bonus. This range may span multiple career levels at HackerRank and will be refined during the interview process based on factors such as the candidate’s experience, qualifications, and location. Compensation for this role includes base salary, target bonus, and equity.

About the role
How developers were evaluated previously was whether they can write functionally correct code. How developers are being evaluated now is whether they can orchestrate AI to accomplish the task while still having the fundamentals underneath. That shift, between what used to matter and what matters now, is exactly the problem this role is hired to solve.

Open Problem
How do you measure skill when AI is already in the room?

Software engineering has moved from writing code to using AI to solve problems. That shift sounds simple. The implications for assessment are not. This is not just a take-home assignment problem. It spans live interviews, async assessments, AI-assisted coding environments, pair programming with agents, and every other context in which someone is trying to figure out how good a developer actually is. The tools developers use are changing fast. The frameworks we use to evaluate them have not kept up.

For over a decade, skills-based hiring relied on deterministic evaluation: a candidate's code either passed test cases or it did not. The score was binary and reproducible. What replaces it is genuinely unsolved. Nobody has cracked how to fairly assess human skill in a world where AI assistance is ambient and invisible, where the question is no longer "can you write this function" but "how effectively do you use AI to solve a real problem."

We are moving from a deterministic evaluation to evaluation by a council of LLMs. But making that consistent, scalable, and defensible across hundreds of thousands of assessments is a hard research and engineering problem. How do you ensure the same rubric is applied the same way to the 200,000th candidate as to the first? How do you detect when your evaluation model is drifting? How do you explain a score to a candidate who believes they were assessed unfairly?

HackerRank sits at the center of this problem with a rare combination of scale, longitudinal data, and direct relationships with the companies making hiring decisions. The opportunity here is to define what rigorous, fair, and meaningful skill evaluation looks like in the agentic era. That methodology does not exist yet. This role exists to build it.

What you will do

• Build LLM-powered evaluation pipelines that assess AI usage skills consistently, fairly, and at production scale
• Own the evaluation methodology end to end: what the rubric is, how the model applies it, how you measure whether it is being applied correctly, and how you audit for bias
• Design and run experiments to determine what good evaluation actually looks like. The answer is not known. You will be finding it
• Build RAG pipelines and fine-tuning workflows that make evaluation models adhere reliably to the rules we set for them
• Define the benchmarking infrastructure: how we know when our evaluation quality has improved, and how we catch regressions before candidates do
• Translate model behavior into outcomes that product managers, enterprise customers, and candidates can understand and trust

Who you are

• You have shipped LLM-powered systems in production where consistency and reliability were hard constraints, not nice-to-haves
• You think as rigorously about how you measure your model as about the model itself. A poorly constructed eval is a worse outcome than a weaker model
• You have a research mindset. You are comfortable operating in a space where the right methodology does not exist yet and needs to be invented
• You think in systems. The data pipeline, the model, the serving layer, and the rubric it enforces are one problem to you
• You can defend ML judgment in plain language to people who are not ML engineers, because the translation layer is part of the job

Even better if you have

• Experience building evaluation frameworks for generative or conversational AI systems
• Background in educational assessment, psychometrics, or human-in-the-loop evaluation at scale
• Publications or open-source contributions in LLM evaluation, benchmarking, or alignment
• Prior work at the interface of research and product, where you had to ship science, not just publish it

You will thrive here if

• You find the measurement problem as interesting as the model problem, maybe more interesting.
• You hold evaluation methodology to the same standard as model performance, and you are uncomfortable shipping something you cannot explain.
• You want your work to define what good looks like in a field that is just now figuring that out.

Compensation

The annual US on-target earnings (OTE) range for this role is $120,000 – $235,000 which includes base salary and target bonus. This range may span multiple career levels at HackerRank and will be refined during the interview process based on factors such as the candidate’s experience, qualifications, and location. Compensation for this role includes base salary, target bonus, and equity.

About the role

The developer's job is shifting from writing code to directing AI agents, and hiring needs to catch up. HackerRank has shaped how 3000+ companies identify engineering talent, with 30M+ developers assessed on our platform. Chakra is our bet on what the next generation of that looks like: an AI interviewer built for a world where the interview itself has to be as intelligent as the candidates it is evaluating.

Open Problem
An interview that thinks, listens and gets it right every time.

Running an interview is easy. Running a good one is hard.

Chakra is an AI interviewer. It holds a conversation with a candidate, asks follow-up questions, evaluates how they think, and produces a report a hiring manager can actually act on. It is to conduct interviews that are more consistent, more probing, and more fair than most human interviewers manage in practice.

Here is the problem. A great human interviewer can do this. They read the candidate. They push on the right things. They know when an answer is shallow and when it just sounds shallow. Getting a model to do that reliably is genuinely difficult. Not because the technology cannot hold a conversation. It can. The gap is in judgment. Knowing what to probe. Knowing what the answer actually reveals about the candidate. Knowing when to move on.

Now do that 200,000 times. With candidates who speak differently, think differently, and approach problems differently. Without the model drifting. Without it being gamed. Without every report reading like it was written by the same template.

That is where the field currently falls short. Closing that gap is the work.

What you will do

• Architect and develop Chakra end to end: the agent design, conversation management, real-time response evaluation, scoring methodology, and report generation.
• Build the systems that ensure interview consistency at scale. Not just model capability, but the infrastructure that makes the 200,000th interview as coherent as the first.
• Design evaluation and benchmarking pipelines that measure interview quality, candidate experience consistency, and report defensibility.
• Build fine-tuning and RLHF workflows to push model judgment past what off-the-shelf models deliver for this specific task.
• Own the quality bar. Define what a good interview looks like, instrument how well the system meets that bar, and close the gap systematically.
• Work across the full stack: data pipelines, model serving, latency constraints, and the product experience the candidate actually encounters.

Who you are

• You have built and shipped agentic or conversational AI systems in production, not just prototypes.
• You have a strong intuition for where LLM behavior breaks down under real-world conditions and how to address it systematically.
• You think in systems. The conversation architecture, the evaluation model, the serving infrastructure, and the candidate experience are one problem to you.
• You care about the quality bar at the level of a user who depends on the output, not just a researcher measuring aggregate metrics.

Even better if you have

• Experience building multi-turn conversational agents or interview-style AI systems.
• Worked with RLHF, Constitutional AI, or preference-based fine-tuning methods.
• Background in dialogue systems, conversational evaluation, or rubric-based scoring.
• Publications or contributions in agentic AI, LLM reliability, or evaluation of generative systems.

You will thrive here if

• You are energized by the full scope of a hard product problem, from model architecture through the conversation a candidate actually has. 
• You hold the product bar as high as the technical bar. You want to build something that works extraordinarily well for every single person who uses it.

Compensation

The annual US on-target earnings (OTE) range for this role is $120,000 – $235,000 which includes base salary and target bonus. This range may span multiple career levels at HackerRank and will be refined during the interview process based on factors such as the candidate’s experience, qualifications, and location. Compensation for this role includes base salary, target bonus, and equity.

About the Role

HackerRank is scaling its Forward Deployed Engineering (FDE) function globally. We are hiring a Director, Forward Deployed Engineering (Global) to set the strategy, standards, and execution bar for this team. This is a hands-on leadership role. You will lead the global FDE function, directly manage FDEs in the U.S., and partner closely with regional GMs in EMEA and APAC.

What you’ll do

• Lead, coach, and grow a team of FDEs that lead customer engagements (pre- and post-sales) to define and deliver solutions.
• Partner with Sales, Product, Engineering, and Customer Success to shape solutions that solve real customer problems.
• Work with Product and Engineering to incorporate customer-specific solutions into the product roadmap.
• Provide hands-on technical leadership across APIs, integrations, and platform capabilities.
• Elevate how we run demos, proofs of concept, and onsite engagements.
• Build repeatable playbooks, delivery standards, and best practices to move fast at scale.

Who you are

• A seasoned technical leader with 8+ years in engineering, solutions engineering, or technical delivery, and 2+ years leading high-performing technical teams.
• Obsessed with operating alongside the team, reviewing designs, challenging assumptions, and stepping in when problems get ambiguous or high-stakes.
• Highly experienced in leading customer-facing technical teams where success depends on credibility, clarity, and execution, not scripts or handoffs.
• Fluent across engineering and business contexts, you can debate architecture with engineers and align outcomes with sales, product, and customer leaders.
• Excellent presenter and communicator who can modulate the message across both technical and non-technical audiences.

Even better if you have

• Experience as a Forward Deployed Engineer, Solutions Engineer, or Technical Consultant.
• Background in developer tools, HR tech, or API-first SaaS platforms.
• Experience working in globally distributed or matrixed teams.

You will thrive in this role if

• You enjoy building teams, systems, and standards from the ground up.
• Ambiguity energizes you, especially in fast-moving environments.
• You hold high standards for ownership and quality, with a bias toward action and urgency.

Compensation

This role offers a total target compensation of $300,000–$350,000, which includes base salary and a 20% variable component tied to individual and company performance. You’ll also receive stock options and a comprehensive set of cash and non-cash benefits.

About the role

This is a leadership role leading a team that helps thousands of companies and millions of developers get the most out of HackerRank's technical assessment and interview platform. You'll personally handle escalations, debug real customer issues, and build automated and agentic workflows that make the team more effective. The hands-on work is a feature of this role, giving you the customer and product context to lead with credibility and strengthen your team.

What you’ll do

• Lead and develop a team of Technical Support Engineers in AMER, supporting customers who integrate HackerRank into their technical hiring workflows.
• Partner with Product, Engineering, and GTM to surface and resolve systemic issues, whether that's a broken ATS integration, a flawed assessment configuration, or a reliability gap impacting a customer's hiring pipeline.
• Design and own support operations that prevent recurring issues.
• Personally handle complex L2/L3 cases and customer escalations, setting the technical and quality bar for the team.
• Identify workflows ripe for automation and build agents yourself using low-code/no-code tools like n8n, Zapier, or Make, or by querying LLM APIs for more custom solutions.

Who you are

• 8+ years in technical support leadership, including experience in directly managing support or solutions engineering teams in a SaaS environment, ideally in HR tech, ATS, or developer tools.
• A player/coach, equally comfortable debugging a gnarly customer issue as coaching your team or presenting escalation trends to leadership.
• Hands-on and deeply technical, able to personally debug issues involving APIs, authentication, ATS integrations, webhooks, and production systems.
• Experienced in building workflow automation for support or operations, at minimum with low-code/no-code tools, with a plus for LLM API experience or more sophisticated agentic builds.
• A proven people manager who has hired, coached, and managed performance, including addressing underperformance.

Even better if you have

• Direct experience supporting ATS integrations or technical hiring platforms.
• A measurable track record of reducing support volume or handle time through agentic workflows.

You will thrive in this role if

• You're energized by doing the work, not just managing it.
• You believe skills over pedigree applies to how you build and develop your team, not just the product.

Compensation

This role offers a total target compensation of $250,000–$300,000, which includes base salary and a 20% variable component tied to individual and company performance. You’ll also receive stock options and a comprehensive set of cash and non-cash benefits.

About the role

We’re looking for a Forward Deployed Engineer (FDE) to work onsite with our customers, serving as the primary technical presence in customer engagements, leading pilots, demos, and supporting customer evaluation and successful adoption.  This role blends deep customer engagement with technical execution. 

What you’ll do

• Lead customer-facing engagements, including discovery, pilots, and demos, acting as the primary technical voice in front of prospects and customers.  
• Partner onsite with customers, engineers, recruiters, and business leaders to uncover developer needs, listen with empathy, and shape practical, goal-driven solutions.
• Keep customer projects on track through disciplined execution and proactive updates.
• Use the right tools, including AI when useful, to deliver faster, more reliable outcomes that strengthen HackerRank’s customer experience.
• Collaborate with Product, Engineering, and GTM teams to elevate the voice of the customer.

Who you are

• A customer-facing technical lead with enough full-stack depth to configure, debug, and explain web applications, integrations, and generate API scripts as needed (Ruby or Python). 
• Confident leading conversations onsite with prospects and enterprise customers while gathering requirements, shaping technical approaches, and delivering results that drive measurable impact.
• A clear communicator who can go deep with engineers or simplify for non-technical crowds.
• A strong operator who plans, executes, and follows through, keeping projects organized.
• You lead with empathy, energy, and a problem-solver’s mindset.

Even better if you have

• Experience as a software, solutions, or sales engineer working with HR tech, ATS platforms, IDEs, developer tools, API-first or integration-heavy systems.
• A track record of seeing projects through from scoping to delivery, balancing customer needs with technical tradeoffs.

You will thrive in this role if

• You love mixing engineering, consulting, and delivery, owning every step of the journey.
• You want every project to feel like a new challenge.
• You set and uphold high standards for excellence for yourself and those around you.

Compensation

The base salary range for this role is $160,000–$185,000, plus a target 10% annual bonus tied to individual and company performance. You will also receive equity (stock options) and a comprehensive package of cash and non-cash benefits.

About the team

Our marketing team is the engine behind pipeline acceleration at HackerRank. We operate at the intersection of creativity, analytics, and automation- managing paid channels, orchestrating ABM plays, and optimizing every touchpoint that turns interest into opportunity. As the team responsible for bringing in qualified leads and nurturing them across the funnel, we directly impact revenue and go-to-market success.

About the Role

Ready to turn marketing plans into pipeline? As our Demand Generation Engineer, you’ll be the force of nature that converts strategy to campaigns, shepherding projects from brief to “closed‑won.” You’ll own the day‑to‑day execution of multi‑channel demand programs, think  ABM plays, paid social, email nurture and direct mail - while keeping budgets, creative assets, and stakeholders in lockstep. Your reporting and analytical abilities will be deployed to optimise ad creative, messaging and conversion rate. You will be comfortable presenting insights and analysis of campaigns while possessing the technical rigor to iterate, adapt and scale efforts.

If juggling timelines, audience lists, and bid strategies sounds like your wheelhouse, we’d love to see how you can help us hit the next level of growth at HackerRank.

Why does this role exist

• Scale Execution across channels to improve coverage.
• Institutionalize ABM discipline (from 1:Many to 1:Few to 1:1) with campaign optimization.
• Optimize and refine ongoing campaigns to ensure we are squeezing efficacy out of every touchpoint.

What you'll do

• Execute and optimize full-funnel demand generation programs across paid media and owned channels.
• Lead the day-to-day management of paid media, audience targeting, creative rotation, pacing, and bid strategies.
• Drive ABM campaigns (1:Many, 1:Few, and 1:1), collaborating with SDRs, design, and content to engage key accounts.
• Run diagnostics across the funnel, report campaign performance, and implement A/B and multivariate tests.
• Streamline campaign operations with documented playbooks and automation to reduce manual effort and increase speed.

You will thrive in this role if

• You excel at connecting strategy with hands-on execution across channels and tools.
• You are passionate about data, testing, and finding the signal in the noise.
• You have a track record of driving pipeline growth through high-performing ABM programs.
• You bring a rare combination of technical fluency, cross-functional collaboration, and campaign hustle.

You you bring

• 5+ years of experience in B2B demand generation or growth marketing (agency or SaaS side).
• Hands-on expertise managing LinkedIn Ads and at least one other paid platform (Meta, Reddit, etc.).
• Proven experience running 1:Many, 1:Few, and 1:1 ABM campaigns with measurable results.
• Fluency with CRM and marketing automation platforms (e.g. Salesforce, HubSpot).
• Strong skills in reporting, attribution modeling, and funnel diagnostics (pivot tables, UTM tracking, etc.).
• Experience setting up conversion tracking and syncing audience segments between tools (Tag Manager, Analytics events etc).
• Familiarity with low-code automation tools like Make, N8N or Zapier.

Bonus Skills

• Experience with APIs, webhooks, dashboarding, ETL, light creative tools (Figma/Canva), or LLM automation.
• Copywriting chops to iterate messaging and enhance campaign performance.

Want to stand out?

• Send your "name”, LinkedIn” and “message” in json to the following endpoint: https://hook.eu2.make.com/swxvg5yiu1c5fmiag2ccmfs3fu3em92k

Compensation

This role is eligible for incentive-based pay, with an annual total potential earnings range of $120,000 – $150,000, including base salary and incentive-based compensation (based on quota attainment). 

About the role

As a Technical Support Engineer, you’ll support customers using HackerRank’s products and platform. You’ll investigate and resolve complex issues, work closely with engineering and product teams, and help customers maximize the benefits of our technology. Your work will enhance reliability, reduce friction, and make HackerRank more user-friendly for everyone.

What you’ll do

• Troubleshoot and resolve issues across the HackerRank platform, including web applications, APIs, ATS integrations, and developer tools.
• Collaborate with engineering teams to reproduce issues, identify root causes, and validate fixes.
• Guide customers through SSO (SAML/OIDC) and SCIM integration setup, primarily with Okta and other IdPs. standards, such as SAML and SCIM.
• Exhibit exceptional ownership and communication skills, clearly and confidently engaging with customers through tickets and live Zoom sessions.

Who you are

• 2+ years of experience in a technical support or product support role for a SaaS platform.
• Able to debug full-stack web applications and use developer tools effectively.  
• Skilled with SQL, REST APIs, and tools like Postman, Insomnia, or cURL.
• Basic coding skills, can use Python or Ruby for automation or simple data validation tasks.
• Comfortable using IDEs such as VS Code, IntelliJ, or PyCharm for testing and debugging.

Even better if you 

• Have a background in HR tech, developer tools, or assessment platforms.
• Can build scripts and tools that accelerate and standardize troubleshooting.
• Are familiar with AWS or GCP and observability tools such as New Relic.

You will thrive in this role if

• Communicate clearly and stay calm under pressure.
• You exhibit a strong sense of ownership, knowing there are no handoffs. 
• Take pride in helping customers and teammates succeed.
• You are curious, passionate, and do not tolerate inefficiency

Compensation

The base salary range for this role is $100,000 – $130,000, plus a target 10% annual bonus tied to individual and company performance. You will also receive equity (stock options) and a comprehensive package of cash and non-cash benefits. 

About the role

As a SDET, you will play a critical role in shaping and executing our automation-first quality strategy across web, API, and AI-driven systems.

You’ll work closely with Engineering and Product teams to ensure that quality is designed into every feature, enforced through strong automation, and protected by strict release gates. This is a hands-on, technically deep role with real ownership and impact.

What you’ll do

• Lead and standardize test automation practices across teams and services
• Design, build, and maintain scalable automation frameworks using Playwright and SerenityJS
• Develop automated test suites in JavaScript/TypeScript for web, API, and workflow validation
• Design and maintain REST API automation using Postman or equivalent tools
• Integrate automation deeply into CI/CD pipelines using Jenkins and/or GitHub Actions
• Enforce mandatory quality gates, blocking releases on automation or sanity failures
• Monitor automation executions, analyze failures, and drive root-cause resolution
• Conduct automation code reviews to ensure consistency, reusability, and maintainability
• Collaborate during design and story elaboration to define acceptance criteria and risk coverage
• Mentor QA and engineering teams on automation frameworks, tooling, and best practices
• Contribute to automation metrics, reporting, and continuous improvement initiatives

Who you are

• 3+ years of experience in QA Automation / SDET roles
• Strong hands-on experience with Playwright and SerenityJS (JavaScript/TypeScript)
• Proficient in JavaScript/TypeScript for building reliable, maintainable automation
• Solid experience in REST API testing using Postman or similar tools
• Hands-on experience with CI/CD automation using Jenkins and/or GitHub Actions
• Having experience working with the Cucumber BDD framework.
• Strong working knowledge of Git (GitHub) and modern version control workflows
• Experience working with Docker and Kubernetes-based environments
• Exposure to Accessibility (A11y) testing, with an understanding of WCAG principles
• Experience with Desktop Automation testing
• Strong understanding of regression, integration, system, and end-to-end testing
• Excellent problem-solving skills with the ability to debug complex automation failures
• Strong communication skills and the ability to influence quality across teams

Even better if you have

• Use AI agents or tools to perform day-to-day activities or to test AI-powered features.
• Familiarity with visual regression testing, cross-browser testing, and performance validation
• Experience designing or contributing to automation metrics and quality dashboards
• Exposure to cloud-native, large-scale SaaS platforms
• Experience mentoring teams and driving the adoption of quality standards across multiple squads

You will thrive in this role if

• Believe quality is a shared responsibility across Engineering, QA, and Product
• Prefer preventing defects through strong automation and release gates
• Enjoy building systems that scale, rather than relying on manual effort
• Comfortable enforcing 100% pass-rate mandates for critical workflows
• Like working on complex systems involving CI/CD, containers, and AI-driven logic
• Care deeply about reliability, trust, accessibility, and real-world user experience

Compensation

The base salary range for this role is $110,000–$120,000, plus a target 10% annual bonus tied to individual and company performance. You will also receive equity (stock options) and a comprehensive package of cash and non-cash benefits.

At HackerRank, we're building a world where skills define opportunity. Our revenue organization runs on clean data, reliable tooling, and sharp operational instincts and this role sits at the center of that.

As a Sales Operations Analyst, you'll report to the Revenue Operations Team Lead and play a key supporting role in keeping our GTM engine running smoothly. You'll work closely with sales, marketing and RevOps, executing on established processes, maintaining the integrity of our systems, and helping surface insights that inform how we sell. This is a great fit for someone early in their RevOps career who wants to grow within a function that's actively building something meaningful.

What you’ll do

Sales Enablement & Support:

• Act as a day-to-day resource for the sales team — answering process questions, resolving tool issues, and helping reps get the most out of our sales tools.
• Maintain documentation for sales processes.
• Assist with cross-functional projects involving Marketing, Finance, and Customer Success.

Data Quality & Hygiene:

• Monitor and maintain data accuracy across Salesforce and the broader GTM tech stack.
• Perform routine audits, identify data hygiene issues.
• Execute data imports, list uploads, and record updates in support of sales and marketing campaigns.
• Help investigate trends and anomalies in sales process data such as: lead conversion, sales activity, forecast and pipeline variances.

Who you are

• 2–3 years of experience in Sales Operations, Revenue Operations, or a related analytical role.
• Hands-on Salesforce experience — report and dashboard building, data management, and basic admin tasks.
• Advanced proficiency in Google Sheets:  formulas, pivot tables, and structured data analysis.
• Strong attention to detail and a genuine commitment to data accuracy.
• Clear written and verbal communication: you can explain processes and findings simply and effectively.
• Familiarity with GTM tools such as Outreach, ZoomInfo, or LinkedIn Sales Navigator.
• Able to manage your own workload and follow through without heavy oversight.

Even better if you have

• Experience with applying AI tools and automation to sales processes.
• You are a Salesforce Certified Administrator.
• Prior SDR or sales support background.

You will thrive in this role if

• You find satisfaction in making systems work correctly and take data quality personally.
• You enjoy digging into a process or dataset to understand what's really going on beneath the surface.
• You hold yourself to a high bar for accuracy and follow-through.

Compensation

The base salary range for this role is $100,000 - $120,000, plus a target 10% annual bonus tied to individual and company performance. You will also receive equity (stock options) and a comprehensive package of cash and non-cash benefits.

About the team

At HackerRank, we’re proud to have a high-performing, mission-driven team that truly, madly, deeply cares about their work. Our goal in People Operations (or POps, as we like to call it!) is simple: to empower every HackerRanker to reach their highest potential—both individually and collectively.

We are committed to creating an environment where people have the tools, resources, and support they need to do their best work.

About the role

As the Senior Manager, People Business Partner, you’ll play a key role in supporting the growth of HackerRank’s global Go-To-Market (GTM) team. You’ll work closely with stakeholders to ensure the team has the right talent in the right roles. By focusing on key areas such as talent density, employee development, compensation, and organizational design, you’ll directly impact leadership development and individual career growth.

This role is based in the US and will also oversee the AMER HR Generalist, including managing benefits and compliance. We’re looking for someone who is both nimble and detail-oriented-a leader who can roll up their sleeves when needed and thrive in a fast-paced environment.

What you’ll do

• Serve as a key member of the GTM leadership team, offering strategic guidance on people-related initiatives and execution.
• Collaborate closely with leaders on workforce planning, organizational design, performance management, and leadership development to support the business’s high growth.
• Lead company-wide talent programs within GTM, including talent calibrations and compensation reviews.
• Address complex employee relations issues with discretion, providing coaching and gathering feedback.
• Partner closely with other PBPs, HR Generalists, the Talent Acquisition team, and colleagues across the People team to design and implement effective, people-focused solutions.
• While focused on the Global GTM team, this role may also provide counsel and support to other teams as needed.
• Oversee benefits and compliance for the AMER region.

What you bring

• 8+ years of experience in HR business partnering, including at least 2 years of managing a small team.
• Deep expertise in managing AMER benefits and HR compliance.
• Proven experience as a People Business Partner, supporting executive leaders, senior and entry-level managers, as well as individual contributors.
• Bonus: Experience partnering with GTM or customer-facing teams in a high-growth, global organization is highly preferred.
• Bonus: Experience supporting AMER, EMEA, and APAC regions in a remote setup.

Current base salary range: The base salary range for this role is ($165,000 - $180,000), plus a target (15%) annual bonus tied to individual and company performance. You will also receive equity stock options and a comprehensive package of cash and non-cash benefits.