
Commvault · United States
Recruitment Fraud Alert We’ve learned that scammers are impersonating Commvault team members—including HR and leadership—via email or text. These bad actors ma...
Recruitment Fraud Alert
We’ve learned that scammers are impersonating Commvault team members—including HR and leadership—via email or text. These bad
actors may conduct fake interviews and ask for personal information, such as your social security number.
If you suspect a recruiting scam, please contact us at wwrecruitingteam@commvault.com [wwrecruitingteam@commvault.com]
About Commvault
Commvault (NASDAQ: CVLT) is the gold standard in cyber resilience. The company empowers customers to uncover, take action, and
rapidly recover from cyberattacks – keeping data safe and businesses resilient. The company’s unique AI-powered platform combines
best-in-class data protection, exceptional data security, advanced data intelligence, and lightning-fast recovery across any
workload or cloud at the lowest TCO. For over 25 years, more than 100,000 organizations and a vast partner ecosystem have relied
on Commvault to reduce risks, improve governance, and do more with data.
Clumio is bought by builders. The people who evaluate us are Staff engineers, SREs, platform leads, and directors of
engineering—people who will decide whether to trust us with 50 petabytes of S3 before they ever talk to a salesperson. They arrive
from a search result, an AI assistant, or a colleague’s recommendation. They open the docs. They start a trial. And within about
twenty minutes, they either get their first backup running or they close the tab.
This role owns that twenty minutes—and everything that leads up to it.
You are not a documentation writer who sits downstream of engineering and turns release notes into paragraphs. You are a content
engineer: you run the code, you build the example, you break the workflow, and then you write the thing that makes it obvious.
Every guide you publish ships with something that actually works—a Terraform module, a CloudFormation template, a CLI walkthrough,
a tested API call. If a builder can’t copy it, paste it, and have it succeed on the first try, it isn’t finished.
You will sit with the Cloud Native product organization and work shoulder-to-shoulder with engineering, product, and growth. Your
work is the top of the funnel, the onboarding path, and the reason a trial converts.
Why This Role Matters
Clumio is one of the top products in AWS Marketplace and carries an NPS of 88, and we got there because builders tried it and it
worked. But the ceiling on a product-led motion is set by how many people can succeed without us in the room—and right now, that
ceiling is our content.
If you are the engineer who kept ending up writing the guide everyone linked to, or the writer who got tired of describing
software you were never allowed to run—this is the seat where those are the same job.
Own the Content That Sells the Product
and recovery runbooks—treating them as a product surface, not an archive
protected without opening a support ticket or booking a call
RDS/Aurora—including the hard parts: cost, scale, recovery time, and what happens when something goes wrong
Build It Before You Write About It
integrations that builders can fork
modes
describing it
Write for How Builders Actually Find Things
examples, real numbers, and concrete scenarios rather than hedged feature claims
Close the Loop with Product and Growth
signups, support deflection
sellers
What Success Looks Like
Your First 90 Days
ships—not after
What You Bring
engineering, or software engineering with a strong writing track record
Nice to Have
#LI-Remote
Thank you for your interest in Commvault. Reflected below is the minimum and maximum base salary range for this role. At Commvault
we use broad salary ranges in our job postings to reflect the diverse levels of expertise and experience among our candidates and
is not reflective of the total compensation and benefits package. The specific salary offered will be determined based on your
unique qualifications, including your relevant experience, skills, and the value you bring to the role. While the range provides a
general idea of the compensation, it is important to note that placements within the range are not automatic and will be carefully
considered to ensure a fair and competitive offer. We are committed to rewarding talent and experience.
Pay Range
Commvault is an equal opportunity workplace and is an affirmative action employer. We are always committed to equal employment
opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital
status, disability, gender identity or Veteran status and we will not discriminate against on the basis of such characteristics or
any other status protected by the laws or regulations in the locations where we work.
Commvault’s goal is to make interviewing inclusive and accessible to all candidates and employees. If you have a disability or
special need that requires accommodation to participate in the interview process or apply for a position at Commvault, please
email accommodations@commvault.com [accommodations@commvault.com] For any inquiries not related to an accommodation please reach
out to wwrecruitingteam@commvault.com [wwrecruitingteam@commvault.com].
Commvault's Privacy Policy [https://www.commvault.com/privacy-policy]
Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com [http://grafana.com] and follow us on LinkedIn [https://www.linkedin.com/company/grafana-labs/] and X [https://twitter.com/grafana]. We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. SENIOR ML ENGINEER RECOMMENDER SYSTEMS, DEVELOPER ADVOCACY | US | REMOTE This is a fully remote position and we're considering candidates in the US. The Opportunity: Grafana Labs is building an Interactive Learning system, an open source, in-product learning experience that helps users learn and succeed without leaving Grafana. A central part of that vision is a personalized recommendation system that helps each user discover the next guide, action, or product experience most likely to help them succeed. Today, the Interactive Learning tool includes a rule-based recommendation engine that provides useful contextual recommendations. We are hiring an ML Engineer to lead its evolution into an increasingly personalized, continuously improving system driven by real-time product behavior, content metadata, customer context, and experimentation. This is an applied product data science role. You will personally build, deploy, and operate recommendation models, design experiments, establish evaluation methodology, and define the scientific roadmap. You will partner closely with software engineers who own the production recommender codebase and with an existing Data Analyst who supports measurement, instrumentation, and analysis across Developer Advocacy. What You’ll Be Doing: The long-term vision is ambitious, but we do not expect it to arrive in one release. We are looking for someone who can understand the whole problem, establish strong foundations, and ship measurable improvements into the existing recommender one iteration at a time. * Evolve the Interactive Learning Plugin's recommendation system * Develop increasingly personalized approaches to candidate selection, ranking, sequencing, and next-best-action recommendations. * You’ll own a real-time recommendation service * Build and operate applied models * Develop, validate, version, monitor, and iterate on models used by the recommendation system. * You’ll own model training & serving * Define what recommendation quality means * Develop offline, online, and longitudinal measures of recommendation performance. * You’ll own feature pipelines, monitoring of the model and architecture * Ship incremental improvements * Use the data and infrastructure available today while identifying the instrumentation and platform capabilities needed tomorrow. * Integrate improvements into the existing recommender rather than waiting for a complete replacement system. * Partner across disciplines * Work closely with software engineers & data analysts to productionize models and integrate them safely into the recommender service. * Partner with the Product Analytics team on metric definitions, instrumentation, data quality, dashboards, and experiment analysis. * Collaborate with Developer Advocacy, Docs, Product, Engineering, GTM, and other teams to translate ambiguous needs into testable hypotheses and measurable product decisions. * Explain modeling choices, tradeoffs, uncertainty, and results clearly to both technical and non-technical audiences. What Makes You a Great Fit: We know it is rare to find everything. Strong candidates should demonstrate credible ability across all three core areas below and be particularly strong in at least two. * Recommendation and personalization science: you have built recommendation, ranking, search, matching, propensity, or next-best-action systems. You are comfortable beginning with simple, explainable approaches when they are the best way to learn. * HTTP/gRPC, streaming, Go/TypeScript previous experience in distributed systems * Applied model ownership. You have personally built, validated, monitored, and iterated on models used in a product or operational environment. You can work effectively in version-controlled codebases and collaborate with engineers on production implementation. You should also be a strong product thinker and technical communicator. You can take an ambitious and ambiguous objective, identify the most important unknowns, and create a sequence of models and experiments that steadily improves the product. Bonus Points For: * Experience with content, education, onboarding, or learning recommendation systems * Experience with SaaS product telemetry and customer-account data * Experience using warehouse-scale behavioral data * Experience with directed graphs, sequence models, or prerequisite-aware recommendations * Experience with contextual bandits or other exploration strategies * Familiarity with Grafana or the broader observability ecosystem * Experience with open source software or transparent development practices * Experience working with privacy, fairness, explainability, or responsible personalization constraints Compensation & Rewards: In the United States, the base compensation range for this role is $154,445 - $185,334. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: * 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. * Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. * Transparent Communication – Expect open decision-making and regular company-wide updates. * Innovation-Driven – Autonomy and support to ship great work and try new things. * Open Source Roots – Built on community-driven values that shape how we work. * Empowered Teams – High trust, low ego culture that values outcomes over optics. * Career Growth Pathways – Defined opportunities to grow and develop your career. * Approachable Leadership – Transparent execs who are involved, visible, and human. * Passionate People – Join a team of smart, supportive folks who care deeply about what they do. * In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. * Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy [https://grafana.com/legal/applicant-and-candidate-privacy-policy/].
ABOUT CLICKHOUSE Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads. The company’s sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla. We’re on a mission to transform how companies use data. Come be a part of our journey! We are looking for a GTM Engineer to build the AI and automation that make ClickHouse's go-to-market motion faster, smarter, and more scalable. This is a builder role. You will design, build, and ship the systems, agents, and workflows that take manual work off the team and put usage and customer signals to work across the lifecycle. ClickHouse runs on a consumption model, where the returns from instrumenting and automating the customer journey are large and mostly uncaptured. This role exists to capture them. As part of the Revenue Operations team, you will work directly with Sales, Solutions Architecture, Marketing, and RevOps to find the highest-value opportunities and turn them into working systems. This is an individual contributor role for someone who wants to build, own what they ship, and set the standard for how AI shows up in our go-to-market. WHAT YOU'LL BE DOING * Design, build, and ship AI and automation across the GTM motion: prospecting and enrichment, lead routing and activation, outbound and follow-up, deal and technical sales support, and expansion and retention signals. * Build agents and workflows that run reliably at scale and take repetitive work off Sales, Solutions Architecture, and Marketing. * Instrument the customer lifecycle. Connect the GTM systems and data so usage and telemetry signals flow to the right place and trigger the right action automatically. * Partner with the field to find where AI and automation create real gains, and turn those opportunities into systems people actually use. * Own what you build end-to-end. Design it, deploy it, measure whether it moves a real number, and keep improving it. Stand up evals and monitoring so AI output stays reliable in production. * Set the standards and guardrails for AI in GTM: data quality, prompt and eval discipline, human review where it matters, and controls that keep automated actions safe. * Track the AI and automation tooling landscape and bring the best of it into how ClickHouse goes to market. WHAT YOU BRING ALONG * 5+ years building automation and tooling in a GTM, RevOps, or growth engineering context, with systems you have shipped and run in production. * Production experience with the GTM stack: Salesforce as the system of record, Gong and Gong Engage for conversation intelligence and sequencing, and the engineering layer beneath them: Vercel, Clay, n8n, enrichment providers, and both transactional and analytical databases (Postgres and ClickHouse). You have shipped and operated these in production at real scale. * Hands-on development in Python, TypeScript, and JavaScript. * Fluency with modern AI tooling: LLM APIs, agent and orchestration frameworks, prompting, evals, and retrieval with embeddings and vector search. You know how to get reliable behavior out of probabilistic systems, and you use eval and observability tooling like Langfuse to keep them reliable in production. * Strong data-activation skills: SQL, APIs, and integrations, transformation with dbt, and moving warehouse data into the GTM stack and back. * A builder who ships. You are comfortable owning something from idea to working system, and you measure it by whether it runs reliably and moves a real number. * Owner-operator mindset. You treat what you build as a system you own end-to-end: you build it, you run it, you fix it when it breaks, and you keep making it better. * Judgment about where AI and automation help and where they create risk. You know when to automate a workflow fully, when to keep a human in the loop, and when to leave a process alone. * Familiarity with usage-based or consumption-based business models is a plus. You understand how usage and telemetry signals drive expansion and retention. * Strong written and verbal communication. Comfortable partnering across the field and explaining what your systems do and why. * Bachelor's degree in engineering required. A master's degree is a plus. The typical starting salary for this role in the US is $145,000—$195,000 USD The typical starting salary for this role in US Premium Markets is $165,000—$225,000 USD COMPENSATION For roles based in the United States, the typical starting salary range for this position is listed above. In certain locations, such as the San Francisco Bay Area and the New York City Metro Area, a premium market range may apply, as listed. These salary ranges reflect what we reasonably and in good faith believe to be the minimum and maximum pay for this role at the time of posting. The actual compensation may be higher or lower than the amounts listed, and the ranges may be subject to future adjustments. An individual’s placement within the range will depend on various factors, including (but not limited to) education, qualifications, certifications, experience, skills, location, performance, and the needs of the business or organization. If you have any questions or comments about compensation as a candidate, please get in touch with us at paytransparency@clickhouse.com [paytransparency@clickhouse.com]. PERKS * Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 20 countries. * Healthcare - Employer contributions towards your healthcare. * Equity in the company - Every new team member who joins our company receives stock options. * Time off - Flexible time off in the US, generous entitlement in other countries. * A $500 Home office setup if you’re a remote employee. * Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. Culture - We All Shape It As part of a rapidly scaling start up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here [https://clickhouse.com/company/careers]. Check out our blog posts [https://clickhouse.com/blog] or follow us on LinkedIn [https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true] to find out more about what’s happening at ClickHouse. Equal Opportunity & Privacy ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here [https://clickhouse.com/legal/applicant-privacy-notice] for our Privacy Statement.
LightFeather is seeking a Scrum Master to support a federal cloud modernization program at a large agency client. In this role, you will serve as the agile backbone for a cloud engineering team focused on Google Cloud Platform (GCP) delivery, facilitating the full Scrum framework and keeping sprint execution on track across a fast-moving, technically oriented team. This is a dedicated Scrum Master position — you will own the agile process. You will work directly alongside a Product Owner and technical lead, interface periodically with federal stakeholders, and serve as the team's go-to resource for sprint status, task tracking, and ceremony cadence. The right person brings solid Scrum fundamentals, an adaptable mindset, and the communication skills to hold their own in a room with senior engineers and agency customers alike. Location: Hybrid, On-site 4 days/week in Washington, D.C. 20006 and 1 day Telework Job Type: Full-time Salary: $90,000–$115,000 annually, based on experience level. Clearance Requirement: Active Secret or Top Secret Security Clearance KEY RESPONSIBILITIES * Facilitate all Scrum ceremonies including daily stand-ups, sprint planning, backlog grooming, sprint reviews, and retrospectives * Drive sprint demos at the close of each sprint, managing the facilitation cadence * Partner with the Product Owner to refine the backlog, write and break down user stories and subtasks, and maintain sprint board accuracy in Jira * Serve as the primary point of contact for sprint status visibility — pulling reports, tracking task ownership, and keeping the team and leadership informed * Maintain documentation and reference materials in SharePoint; coordinate with the BA on documentation deliverables as needed * Monitor and manage ServiceNow tickets as integrated with the Jira workflow, providing timely status updates to stakeholders * Support change management activities at a high level, coordinating with technical team members on pipeline and security-related stories * Act as an agile culture carrier for the team — setting the standard for how work gets tracked, communicated, and completed REQUIRED QUALIFICATIONS * U.S. Citizenship * Active Secret or Top Secret security clearance * 5-8 years of experience as a Scrum Master in an IT or software delivery environment * Certified ScrumMaster (CSM) or equivalent Scrum/agile certification * Demonstrated experience facilitating all Scrum ceremonies and managing sprint execution end-to-end * Proficiency with Jira (Atlassian) for story writing, subtask management, and sprint tracking * Working knowledge of at least one cloud platform (AWS, Azure, or GCP) — specific platform expertise not required, but cloud familiarity is * High-level understanding of DevSecOps concepts and delivery pipelines, sufficient to contextualize team stories and facilitate grooming conversations * Familiarity with ATO (Authority to Operate) processes and federal IT security frameworks (e.g., NIST 800-53, FedRAMP) at a conceptual level * Strong interpersonal and communication skills — able to engage confidently with engineers, product leadership, and federal customers * Ability to work on-site in Washington, DC five days per week PREFERRED QUALIFICATIONS * Experience supporting federal IT programs or government cloud modernization initiatives * Familiarity with Google Cloud Platform (GCP) specifically — this is a nice-to-have, not a requirement * Experience with SharePoint for documentation management and team knowledge repositories * Familiarity with ServiceNow, particularly in environments where it is integrated with Jira for ticketing and work intake * Certified Scrum Product Owner (CSPO) or SAFe certification * Cloud certification from any major provider (AWS, GCP, or Azure) demonstrating foundational cloud literacy * Background supporting change management activities in an agile delivery context Why Join LightFeather? At LightFeather, you're not just taking a job—you're joining a purpose-driven team that delivers innovative, mission-critical solutions to make a real difference. You'll work on diverse, meaningful projects that challenge and inspire you, alongside some of the best minds in the industry. LightFeather is an Equal Opportunity Employer. We consider all qualified applicants for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, disability, veteran status, genetic information, or any other status protected by applicable federal, state, or local law.