Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role:
We're hiring several Product Operations Managers to embed within our core product teams. Each will contribute to a key component of our stack. Whether you are ensuring models work within each of our harnesses, prioritizing a great experience across cloud offerings, or building the application layer that keeps users on the frontier, the Product Operations team is an integral part of delivering great products to the world.
Product Operations is the connective tissue between Research, Product, and the market. We shorten the distance between what our models can do and what people get to use. Each of us sits inside one product team as an extension of its leadership, and together we run one shared operating system for how Anthropic ships and learns.
On a given day you might get a launch through its final review, run an early access window, or triaging customer feedback. The rest of the week you build the systems so the team ships and learns faster next time. Our team is small and gets unusual leverage from Claude enabling us to fill gaps across the company and deliver outsized value.
Responsibilities:
1. Ship with confidence
Own launch readiness for your team. Keep our launch calendar the source of truth for what is shipping and when.
Get every major launch through go/no-go: pre-read written, Security, Safeguards, Legal, and Commercial sign-offs recorded, and any accepted risk written down on purpose.
Run early access and beta programs that return signal Product and Research can act on. Define the question before the window opens, give testers the scaffolding to answer it, and close each one with a retro on whether the feedback landed.
Program manage new model launches on your surface: readiness goals set in advance, testing and eval coverage tracked, issues triaged, prompting changes landed, retro run. You won't write the evals. You run the program around them.
2. Close the loop with users
Turn a lot of noise into two clear signals: what users are asking for, ranked by impact and mapped to the roadmap, and which customers or cohorts are blocked, on what, and why it matters.
Plug your team into Anthropic's shared feedback systems rather than building a private one, and improve the shared systems where they fall short.
Make sure the field, Support, and Research hear back about what happened with what they sent.
3. Run the team's operating system
Set the team's pace: planning, business and execution reviews, goal tracking, offsites.
Own how your team works with Legal, Safeguards, Security, GTM, and other product teams so partnering with your team is predictable.
Push reporting overhead toward zero. Reviews and digests should be generated from data that already exists.
Fill the gaps. Every embedded seat carries one or two projects unique to its team, for example managing Monthly Business Reviews and helping track progress between cycles.
4. Build with Claude
Build the tools you need yourself: Claude-powered triage, dashboards that read and write to our systems of record, skills and agents that take the chasing out of the job.
Contribute what you build back to the ProdOps team as reusable patterns (launch checklists, EAP setup, lookbacks, deprecations) so nobody starts from scratch.
You may be a good fit if you have:
Have owned an operational program end to end (launches, early access, feedback, or planning) that a product team relied on to make decisions. You designed it and ran it, not just executed someone else's plan.
Have built a process from zero to one and then simplified it as it scaled. You treat process as a product: it has users, metrics, and a happy path people want to follow.
Have worked embedded with product leadership and can move a team without formal authority.
Build with AI yourself. You have shipped Claude or other LLM-powered workflows, written the prompts, iterated on the outputs, and can describe model behavior with specifics.
Have direct experience managing evals, refining system prompts, and adapting harnesses to new models.
Have direct experience working with Cloud providers in partnership or GTM capacity
Have commitment to safe deployment of AI. Bonus if experience with AI Safety and Safeguards.
Bonus:
Program managed model launches or model quality at an application-layer AI product.
Run early access, beta, or design partner programs.
Product management, technical program management, chief of staff, or strategy and operations experience at a startup or fast-growing product company.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$260,000
—
$325,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Riyadh, Saudi Arabia
Müller’s Solutions is seeking a skilled Power BI Developer who is also fluent in Arabic to join our dynamic team. In this role, you will be responsible for designing, developing, and deploying Power BI solutions that deliver impactful business insights. Your ability to communicate effectively in Arabic will facilitate collaboration with Arabic-speaking stakeholders and clients.
Responsibilities:
Develop and maintain robust Power BI reports and dashboards tailored to business requirements.
Collaborate with stakeholders, including Arabic-speaking clients, to gather requirements and translate them into technical solutions.
Optimize data models and ensure high performance of Power BI solutions.
Conduct data analysis to support decision-making processes and provide insights.
Ensure data quality, security, and governance standards are adhered to.
Provide support and training to users, including Arabic-speaking teams, to enhance their use of Power BI tools.
Stay up-to-date with the latest Power BI features and best practices to continually improve BI solutions.
Requirements
Bachelor's degree in Computer Science, Information Technology, or a related field.
Proven experience as a Power BI Developer with a strong portfolio of Power BI projects.
Fluency in Arabic, both written and spoken, is essential for this role.
Strong proficiency in DAX, Power Query, and advanced Power BI functionalities.
Experience in data modeling, ETL processes, and SQL.
Ability to translate complex data into clear, actionable business insights.
Excellent communication and interpersonal skills for effective collaboration with bilingual teams and clients.
Knowledge of data governance, data quality, and security best practices.
Self-motivated with the ability to work independently and manage multiple projects.
Experience with other BI tools and analytics platforms is a plus.
Benefits
Why Join Us:
Opportunity to work with a talented and passionate team.
Competitive salary and benefits package.
Exciting projects and innovative work environment.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
Anthropic's business metrics change quickly. New models, products and pricing land every few weeks, and each one moves the numbers in ways leadership needs to understand and act on quickly.
The Finance Analytics & Business Intelligence team is hiring a senior individual contributor to own how finance leadership reviews key business metrics. You'll run the weekly company metrics update and forum, explain what is driving revenue and usage across products, customers and models, and turn open-ended business questions into clear, data-driven answers. You'll also build what makes those answers repeatable and scalable: governed metric definitions, executive dashboards, and Claude-powered workflows for recurring analysis. The work is technical, fast-moving and highly visible, and it spans Finance, Product, Go-to-Market, Data Science and Data Engineering.
In this
role,
you will:
Own the weekly company metrics update and forum:
shape the story the numbers tell, evolve the structure and content as fast as the business changes
Define the metrics that matter:
help establish the headline KPIs leadership uses to track the business, and the driver views beneath them.
Surface macro trends:
explain what is driving growth across products, customers, and channels, and flag leading indicators early
Lead deep dives on executive questions:
take a broad question from leadership, put a measurement approach around it, and work with partner teams to deliver a clear, defensible answer
Track performance against plan:
explain where actuals differ from forecast and why it matters
Partner across teams:
work with finance leadership, product and GTM finance and strategy, data science, and data engineering to agree on how we measure the business, so everyone uses the same numbers.
Raise the bar:
land narratives in executive forums and up-level the team’s finance analytics practice by example
You might
be
a good fit if you:
Have run an executive metrics forum:
you've owned a recurring business review for senior leadership, including its structure, content and discussion.
Land narratives with executives:
your analyses have changed business decisions, and you can simplify for senior leaders without losing rigor
Put shape around ambiguity:
you’ve personally defined the measurement approach for questions nobody knew how to answer, without waiting for a fully specified ask
Stay hands-on at senior scope:
you still write the SQL and Python yourself, and you’d rather ship a defensible v1 with honest error bars than wait for perfect data
Are inherently curious:
you go one level deeper than asked and are energized by how fast models, products, and the market are moving
Thrive amid shifting priorities:
you juggle multiple fast-moving work streams and stay effective when the plan changes weekly
Work fluently with modern tooling:
you’re strong at data visualization, use Claude and AI tools as force multipliers in analysis and BI, and can self-serve your own workflows across SQL, Python, dbt, and a cloud warehouse
Strong
candidates
may also have:
Significant experience in finance analytics, business analytics or data science, including direct partnership with senior leadership
Revenue or growth analytics experience at a usage-based business (cloud, API or marketplace)
Ownership of a company or executive business review
Experience designing evals or benchmarks for AI models or products
Fluency in the LLM model and product landscape
Experience with a semantic or metrics layer
Dimensional modeling and warehouse design experience (grain, SCDs, point-in-time correctness)
Cloud platform experience (AWS, GCP) with orchestration, CI/CD for data, and testing/observability
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$270,000
—
$345,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Bogota, Colombia
What This Role Is About
We’re looking for a
Project Manager who actually gets things done
. You’ll keep projects organized, timelines moving, and people aligned — without micromanaging or overcomplicating things.
If you like turning chaos into clear plans, communicating with different teams, and seeing projects go live because of
your
work, this role’s for you.
What You’ll Be Doing
Own projects from kickoff to launch (and beyond)
Break big goals into clear tasks, timelines, and next steps
Keep teams aligned and accountable across different time zones
Track progress, spot risks early, and fix issues before they blow up
Be the main go-to person for clients and internal teams
Run check-ins, status updates, and wrap-up reviews
Keep project docs clean, updated, and easy to follow
What We’re Looking For
3+ years of experience
managing projects (tech, ops, marketing, or similar)
Comfortable using tools like
Asana, ClickUp, Trello, Jira
, or similar
Clear communicator — you know how to explain things without overcomplicating
Organized, detail-oriented, and good at juggling multiple projects
Works well independently in a remote setup
Strong problem-solver who doesn’t freeze when plans change
PMP or similar cert
is a bonus, not a must
You’ll Probably Love This Role If You…
Like structure but don’t need micromanagement
Enjoy working with different teams and clients
Can balance speed
and
quality
Are proactive and speak up when something needs fixing
Want real ownership and impact, not just task-checking
Why You’ll Like Working Here
Fully remote setup
Real ownership over projects (no busywork)
Fast-paced but supportive environment
Clear expectations and room to grow
УдалённоBogota, Colombia; Keep teams aligned and accountable across different time zones
Location: New York City, NY; San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's Scaled Enterprise team is a high-velocity sales motion built to bring frontier AI to a broad set of enterprise accounts. We're focused on reaching new customers efficiently, turning first conversations into real, expanding partnerships, and building the playbook for how Anthropic shows up at scale.
As a Scaled Enterprise Account Executive, you'll own a book of enterprise accounts and the full revenue outcome for each. You'll generate your own pipeline, run a high-velocity sales cycle from first conversation through close, and develop a clear point of view on where Claude creates value in each account. You'll work closely with Product, Applied AI, and GTM to learn what's working at scale and feed it back into the playbook we're building from the ground up.
This is a role for someone who thrives in hypergrowth, gets energy from breaking into new enterprise accounts, and wants to help build the scaled motion at Anthropic — not inherit one.
Responsibilities
Own all revenue outcomes for a book of enterprise accounts, driving new logo acquisition and early expansion across multiple use cases
Generate the majority of your own pipeline through outbound, creative prospecting, and proactive multithreading into enterprise accounts that have not yet engaged with Anthropic
Run a high-velocity sales cycle from first meeting through close, qualifying quickly, advancing rigorously, and knowing when to walk
Develop a clear point of view on where Claude creates value in each account and bring that POV to technical and business stakeholders alike
Build relationships with directors, VPs, and executive sponsors within your enterprise accounts, earning the right to expand by delivering early wins
Negotiate and close commercial agreements involving technical evaluations, security review, and enterprise procurement
Partner with Product, Applied AI, and Engineering to surface what's working, what's not, and what enterprise buyers need next
Contribute to the playbook, proof points, and motion that this team is building from the ground up
You may be a good fit if you have
3-5+ years selling into enterprise accounts as a full-cycle individual contributor carrying a bag, with a track record of consistently exceeding quota
Experience selling at a hypergrowth company, where the playbook was still being written and you helped write it
A hunter mindset and demonstrated success generating your own enterprise pipeline and breaking into new enterprise accounts
Experience running enterprise sales cycles involving technical evaluations, security review, and procurement
Comfort engaging both technical and business buyers at the director and VP level within enterprise organizations
Background selling platform, API, cloud infrastructure, developer tools, or AI/ML into enterprise
Strong commercial instincts and the ability to qualify quickly and advance rigorously
Genuine interest in AI and strong alignment with Anthropic's mission of developing AI systems that are safe and beneficial
What will make you stand out
Experience at a hypergrowth enterprise infrastructure or developer tools company in its scaling years
Track record as one of the early AEs on a new team, segment, or product where you helped build the motion rather than inherit it
Background in developer tools, API, or AI/ML sales into technical buyers
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$290,000
—
$380,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Remote Oregon; Remote Washington; Remote California; Remote Idaho; Remote Nevada
Workplace: Remote
InfluxData is the creator of InfluxDB, the leading time series platform used to collect, store, and analyze all time series data at any scale. Developers can query and analyze their time-stamped data in real-time to discover, interpret, and share new insights to gain a competitive edge. InfluxData is a remote-first company with a globally distributed workforce. For more information, visit www.influxdata.com http://www.influxdata.com.
We are looking for a stellar Director of Finance to join our team! Reporting directly to the CFO, you will own the FP&A function and play an important role in shaping the company’s financial strategy. This is a high-impact position for a strategic thinker who is not afraid to "roll up their sleeves." You will be the bridge between financial data and executive strategy, ensuring our plans and investments are both strategic and sustainable.
WHAT YOU'LL BE DOING
- Financial Planning: Lead the annual budgeting and rolling forecast processes, delivering clear, data-driven insights to the CFO and the Board. Drive predictability, accountability, and strategic alignment across the organization;
- Business Partnership: Serve as a trusted advisor to the leadership team. You won't just report numbers; you'll provide the "why" behind them to influence business decisions;
- FinOps & Cloud Infrastructure: Serve as the financial lead for cloud spend, partnering with Engineering and Cloud Operations to analyze cost drivers, drive optimization initiatives, manage cloud vendor contracts, and secure optimal commercial terms to improve gross margin;
- Revenue Operations: Serve as a key partner to Sales on deal strategy and governance, guiding pricing and negotiations, approving deals, and optimizing for revenue quality and margin. Collaborate with Sales Leadership to design incentive-aligned compensation plans, review quotas, and drive insights on sales productivity;
- Business Intelligence & KPIs: Develop and maintain sophisticated dashboards tracking core business KPIs and performance metrics, driving clarity on unit economics and operational efficiency;
- AI & Finance Analytics: Leverage AI and advanced analytics to improve forecasting, automate workflows, and drive scalable, insight-driven finance operations;
- Executive Support: Support the CFO in high-stakes projects, including Board materials, executive QBR presentations, investor reporting and vendor contract management.
WHAT WE’RE LOOKING FOR
- Bachelor’s degree in Finance, Accounting, or Business. An MBA or CFA is preferred;
- 15+ years of progressive experience in FP&A and Finance Operations within both private and public company settings;
- Strong working knowledge of AWS, GCP, or Azure pricing models and services, with a clear understanding of how infrastructure and architecture decisions impact COGS and margins;
- Highly detail-oriented with a track record of building accurate, scalable financial models and ensuring data integrity across complex datasets;
- Experience applying AI-driven insights and advanced analytics to streamline financial planning, reporting, and data analysis processes, improving efficiency and decision-making;
- A proven ability to "think big" regarding strategy while "diving deep" into the granular details of a dynamic, fast-paced environment;
- Superior interpersonal skills with the ability to translate complex financial data into actionable narratives for non-finance stakeholders, with a proven track record of partnering effectively with Sales teams.
Applications will be accepted on a rolling basis.
Interview Information:
Our interview process begins remotely. Interviews are typically conducted via Zoom. To ensure every candidate can participate, please let us know if you are unable to access Zoom. Some roles may require an in-person meeting with a team member as part of the final stage.
We offer fantastic benefits for full time employees; in the US these include:
- Medical/dental/vision insurance with 100% coverage for employees
- Company contribution to your FSA
- Flexible Time Off - take the time you need
- Life Insurance, short and long term disability insurance
- 401(k)
- Wellness programs
- Annual professional development budget
- Financial planning and legal advice
Our Core Values
Our employees are the heart of the company and only by having a core set of beliefs and values will we be successful. We hire and live by these core values:
- We value each other
- We get stuff done
- We believe humility drives learning
- We embrace failure
- We are committed to open source
Visit our careers page https://www.influxdata.com/careers/ to learn more about working at InfluxData.
InfluxData is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any other categories protected by applicable law.
To view our Know Your Rights Poster click HERE https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf
To view our CCPA policies click HERE https://www.influxdata.com/wp-content/uploads/November-2023-InfluxData-Candidate-Privacy-Notice.pdf
If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access this website to apply for a vacancy as a result of your disability. You can request reasonable accommodations by reaching out to the recruiting team by emailing apply@influxdata.com.
InfluxData does not accept unsolicited resumes from headhunters and recruitment agencies through our website, job board or directly to employees. InfluxData will not pay fees to any third-party agency, headhunter or company that does not have a signed agreement for this position in place.
Beware of job scams and fraudulent offers! Our recruiters use @influxdata.com http://influxdata.com email addresses exclusively. We do not conduct interviews via text or instant message and we do not ask candidates to download software other than Zoom, to purchase equipment through us, or to provide sensitive personally identifiable information such as bank accounts or social security numbers. If you have been contacted by someone claiming to be from InfluxData from a different domain about a job offer, please report it as potential job fraud to law enforcement and to jobs@influxdata.com.
Location: Santa Clara, CA
Workplace: onsite
About Welo Data
Welo Data, a Welo Global brand, is the multilingual data and evaluation partner for foundation labs and enterprises deploying GenAI systems globally. They deliver the human judgment, data infrastructure, and evaluation systems that ensure AI models perform reliably across languages, cultures, and real-world contexts, at every stage from training through deployment. Its global network of 500,000+ vetted experts spans 300+ languages and locales, enabling high-quality multilingual data creation and structured model evaluation across the full spectrum of modern AI applications — from large language models and voice and speech systems to agentic workflows and robotics and embodied AI. This breadth of linguistic, cultural, and domain expertise enables Welo Data to address critical AI development challenges, including safety, bias, inclusivity, and cross-lingual reliability. A unified global operating model, led by specialized program and quality experts and grounded in assessment-driven talent selection, localized rubrics, and continuous calibration, ensures consistent performance across languages, domains, and modalities. Underpinning all of this is NIMO™ (Network Identity Management and Operations), Welo Data's proprietary identity and fraud-prevention framework. Built to maintain data integrity and workforce trust across a global contributor base, NIMO combines advanced verification, continuous monitoring, and structured QA to ensure every dataset is accurate, traceable, and culturally grounded. welodata.ai
Role Overview:
We're hiring a Robotics Safety & Compliance Lead to own safety, risk, and compliance across our robotics operations — and to lead the function as it scales. This is a builder-leader role: you'll set the standard, establish the frameworks, and grow the program (and eventually the team) that keeps our labs and data collection environments safe, compliant, and audit-ready.
You'll be the senior voice on safety in the room with operations, engineering, and EHS — setting direction rather than waiting for it, and building practical frameworks that support both speed and control.
What You Will Do
Own safety and compliance end to end across robotics labs and data collection environments.
Set the safety strategy and roadmap as programs scale across sites, and define what "good" looks like for the function.
Develop and implement safety standards, SOPs, and risk mitigation frameworks.
Conduct risk assessments across different lab setups (humanoid, teleoperation, motion capture, etc.).
Serve as the escalation point and decision-maker on safety risk — including the authority to pause work when conditions require it.
Lead incident response processes, reporting, and root cause analysis.
Conduct regular audits and maintain audit readiness across sites.
Build and lead safety training, onboarding, and a safety champion network across lab teams.
Influence senior stakeholders and report on safety posture, risk trends, and program maturity to leadership.
Hire, mentor, and grow safety and compliance support as the program expands.
Partner with engineering on safe system design — cell layout, e-stops, guarding, interlocks, and operating envelopes.
Balance operational speed with safety and compliance requirements.
What Good Looks Like
Clear, practical safety frameworks that teams actually follow.
A safety culture the is owned by the organization, not one that depends on one person policing it.
Strong risk awareness without slowing down execution.
High audit readiness and clean compliance posture.
Proactive identification and mitigation of safety risks.
Credibility with engineering — seen as a technical partner, not a gate.
Strong partnership with operations and engineering teams.
Basic Qualifications
5+ years of experience in safety, compliance, or EHS roles (technical or lab environments preferred).
Demonstrated leadership experience — owning a program, leading cross-functional initiatives, or managing/mentoring others.
Experience developing and implementing safety programs or frameworks from the ground up.
Strong understanding of risk assessment and incident management.
Ability to translate standards into practical, operational processes.
Clear communication and proven ability to influence senior and technical stakeholders.
Familiarity with safety standards (e.g., ISO frameworks such as ISO 10218, ISO/TS 15066, ANSI/RIA R15.06).
Preferred Qualifications
Experience in robotics, manufacturing, industrial, or lab-based environments.
People management experience, or experience building a function and its first hires.
Software or technical background as a plus — comfort with ROS, robot control software, teleoperation and motion capture systems, or scripting (e.g. Python) to analyze incident and sensor data.
Experience building or automating compliance tooling — audit tracking, incident dashboards, or safety checklists integrated into lab workflows.
Experience supporting high-growth or rapidly scaling operations.
Background working with cross-functional technical teams.
Work Environment and Physical Requirements
Onsite lab environment (robotics lab, warehouse, or similar setup).
Must be able to stand for extended periods during audits and inspections.
Must be able to occasionally lift and/or move up to 50 lbs.
Fast-paced environment with evolving operational needs.
Why This Role Matters
As robotics programs scale, safety and compliance become critical to sustainable operations. This role leads how we operate responsibly, reduce risk, and build systems that scale without compromising safety.
Benefits Included in the Offer:
- Friendly Working Environment
- IT Equipment
- Social Activities
- Global Mobility Policy
- Employee Referral Program
- Employee Assistant Program
- Medical, Dental, and Vision Insurance
- HSA & FSA
- 401(k) retirement
- Short & Long Term Disability Insurance
- Accident, Critical Illness, Hospital Indemnity Insurance
- Telemedicine Benefit
- Annual Leave
- Paid Public Holidays
- Maternity/Paternity Leave
Hourly Pay: $65-$75/hr.
Job Reference: #LI-JC1
Location: Netherlands
Workplace: remote
Transcriber – Audio & Annotation Projects
We are looking to onboard Transcribers to support a range of upcoming audio processing projects. This role focuses on converting audio into accurate written text, with opportunities to contribute to annotation tasks depending on project needs.
Key Responsibilities
Transcribe audio files into clear, well-structured text
Work with a variety of audio types, including:
Single-speaker recordings
Podcasts
Multi-speaker conversations
Identify speakers where applicable
Ensure high accuracy and attention to detail
Follow project-specific transcription and formatting guidelines
Task Types
1. Transcription Tasks
Convert audio content into written text
Maintain consistency in formatting and structure
Ensure clarity and completeness of transcriptions
2. Annotation Tasks (Project-dependent)
Label or tag segments of text or audio
Categorize content based on provided guidelines
Support data quality and training datasets
Requirements
Native-like proficiency in Dutch
Good written English
Strong listening and comprehension skills
Ability to follow detailed instructions and guidelines
Previous transcription or annotation experience is a plus, but not required
Availability
Minimum 4 hours of availability required during scheduled transcription shifts
Project Details
Flexible working hours – complete tasks at your own pace within project timelines
Tasks are completed via a secure online platform
Full guidelines and instructions are provided for each task
Ongoing support is available to ensure quality and consistency
Multiple similar projects are planned throughout 2026, offering potential for continued work
Location: Norway
Workplace: remote
Transcriber – Audio & Annotation Projects
We are looking to onboard Transcribers to support a range of upcoming audio processing projects. This role focuses on converting audio into accurate written text, with opportunities to contribute to annotation tasks depending on project needs.
Key Responsibilities
Transcribe audio files into clear, well-structured text
Work with a variety of audio types, including:
Single-speaker recordings
Podcasts
Multi-speaker conversations
Identify speakers where applicable
Ensure high accuracy and attention to detail
Follow project-specific transcription and formatting guidelines
Task Types
1. Transcription Tasks
Convert audio content into written text
Maintain consistency in formatting and structure
Ensure clarity and completeness of transcriptions
2. Annotation Tasks (Project-dependent)
Label or tag segments of text or audio
Categorize content based on provided guidelines
Support data quality and training datasets
Requirements
Native-like proficiency in Norwegian
Good written English
Strong listening and comprehension skills
Ability to follow detailed instructions and guidelines
Previous transcription or annotation experience is a plus, but not required
Availability
Minimum 4 hours of availability required during scheduled transcription shifts
Project Details
Flexible working hours – complete tasks at your own pace within project timelines
Tasks are completed via a secure online platform
Full guidelines and instructions are provided for each task
Ongoing support is available to ensure quality and consistency
Multiple similar projects are planned throughout 2026, offering potential for continued work
Location: Romania
Workplace: remote
Transcriber – Audio & Annotation Projects
We are looking to onboard Transcribers to support a range of upcoming audio processing projects. This role focuses on converting audio into accurate written text, with opportunities to contribute to annotation tasks depending on project needs.
Key Responsibilities
Transcribe audio files into clear, well-structured text
Work with a variety of audio types, including:
Single-speaker recordings
Podcasts
Multi-speaker conversations
Identify speakers where applicable
Ensure high accuracy and attention to detail
Follow project-specific transcription and formatting guidelines
Task Types
1. Transcription Tasks
Convert audio content into written text
Maintain consistency in formatting and structure
Ensure clarity and completeness of transcriptions
2. Annotation Tasks (Project-dependent)
Label or tag segments of text or audio
Categorize content based on provided guidelines
Support data quality and training datasets
Requirements
Native-like proficiency in Romanian
Good written English
Strong listening and comprehension skills
Ability to follow detailed instructions and guidelines
Previous transcription or annotation experience is a plus, but not required
Availability
Minimum 4 hours of availability required during scheduled transcription shifts
Project Details
Flexible working hours – complete tasks at your own pace within project timelines
Tasks are completed via a secure online platform
Full guidelines and instructions are provided for each task
Ongoing support is available to ensure quality and consistency
Multiple similar projects are planned throughout 2026, offering potential for continued work
Location: Russia
Workplace: remote
Transcriber – Audio & Annotation Projects
We are looking to onboard Transcribers to support a range of upcoming audio processing projects. This role focuses on converting audio into accurate written text, with opportunities to contribute to annotation tasks depending on project needs.
Key Responsibilities
Transcribe audio files into clear, well-structured text
Work with a variety of audio types, including:
Single-speaker recordings
Podcasts
Multi-speaker conversations
Identify speakers where applicable
Ensure high accuracy and attention to detail
Follow project-specific transcription and formatting guidelines
Task Types
1. Transcription Tasks
Convert audio content into written text
Maintain consistency in formatting and structure
Ensure clarity and completeness of transcriptions
2. Annotation Tasks (Project-dependent)
Label or tag segments of text or audio
Categorize content based on provided guidelines
Support data quality and training datasets
Requirements
Native-like proficiency in Russian
Good written English
Strong listening and comprehension skills
Ability to follow detailed instructions and guidelines
Previous transcription or annotation experience is a plus, but not required
Availability
Minimum 4 hours of availability required during scheduled transcription shifts
Project Details
Flexible working hours – complete tasks at your own pace within project timelines
Tasks are completed via a secure online platform
Full guidelines and instructions are provided for each task
Ongoing support is available to ensure quality and consistency
Multiple similar projects are planned throughout 2026, offering potential for continued work
Location: Sweden
Workplace: remote
Transcriber – Audio & Annotation Projects
We are looking to onboard Transcribers to support a range of upcoming audio processing projects. This role focuses on converting audio into accurate written text, with opportunities to contribute to annotation tasks depending on project needs.
Key Responsibilities
Transcribe audio files into clear, well-structured text
Work with a variety of audio types, including:
Single-speaker recordings
Podcasts
Multi-speaker conversations
Identify speakers where applicable
Ensure high accuracy and attention to detail
Follow project-specific transcription and formatting guidelines
Task Types
1. Transcription Tasks
Convert audio content into written text
Maintain consistency in formatting and structure
Ensure clarity and completeness of transcriptions
2. Annotation Tasks (Project-dependent)
Label or tag segments of text or audio
Categorize content based on provided guidelines
Support data quality and training datasets
Requirements
Native-like proficiency in Swedish
Good written English
Strong listening and comprehension skills
Ability to follow detailed instructions and guidelines
Previous transcription or annotation experience is a plus, but not required
Availability
Minimum 4 hours of availability required during scheduled transcription shifts
Project Details
Flexible working hours – complete tasks at your own pace within project timelines
Tasks are completed via a secure online platform
Full guidelines and instructions are provided for each task
Ongoing support is available to ensure quality and consistency
Multiple similar projects are planned throughout 2026, offering potential for continued work
Location: Turkey
Workplace: remote
Transcriber – Audio & Annotation Projects
We are looking to onboard Transcribers to support a range of upcoming audio processing projects. This role focuses on converting audio into accurate written text, with opportunities to contribute to annotation tasks depending on project needs.
Key Responsibilities
Transcribe audio files into clear, well-structured text
Work with a variety of audio types, including:
Single-speaker recordings
Podcasts
Multi-speaker conversations
Identify speakers where applicable
Ensure high accuracy and attention to detail
Follow project-specific transcription and formatting guidelines
Task Types
1. Transcription Tasks
Convert audio content into written text
Maintain consistency in formatting and structure
Ensure clarity and completeness of transcriptions
2. Annotation Tasks (Project-dependent)
Label or tag segments of text or audio
Categorize content based on provided guidelines
Support data quality and training datasets
Requirements
Native-like proficiency in Turkish
Good written English
Strong listening and comprehension skills
Ability to follow detailed instructions and guidelines
Previous transcription or annotation experience is a plus, but not required
Availability
Minimum 4 hours of availability required during scheduled transcription shifts
Project Details
Flexible working hours – complete tasks at your own pace within project timelines
Tasks are completed via a secure online platform
Full guidelines and instructions are provided for each task
Ongoing support is available to ensure quality and consistency
Multiple similar projects are planned throughout 2026, offering potential for continued work
Location: China
Workplace: remote
Transcriber – Audio & Annotation Projects
We are looking to onboard Transcribers to support a range of upcoming audio processing projects. This role focuses on converting audio into accurate written text, with opportunities to contribute to annotation tasks depending on project needs.
Key Responsibilities
Transcribe audio files into clear, well-structured text
Work with a variety of audio types, including:
Single-speaker recordings
Podcasts
Multi-speaker conversations
Identify speakers where applicable
Ensure high accuracy and attention to detail
Follow project-specific transcription and formatting guidelines
Task Types
1. Transcription Tasks
Convert audio content into written text
Maintain consistency in formatting and structure
Ensure clarity and completeness of transcriptions
2. Annotation Tasks (Project-dependent)
Label or tag segments of text or audio
Categorize content based on provided guidelines
Support data quality and training datasets
Requirements
Native-like proficiency in Chinese
Good written English
Strong listening and comprehension skills
Ability to follow detailed instructions and guidelines
Previous transcription or annotation experience is a plus, but not required
Availability
Minimum 4 hours of availability required during scheduled transcription shifts
Project Details
Flexible working hours – complete tasks at your own pace within project timelines
Tasks are completed via a secure online platform
Full guidelines and instructions are provided for each task
Ongoing support is available to ensure quality and consistency
Multiple similar projects are planned throughout 2026, offering potential for continued work
Location: Poland
Workplace: remote
Transcriber – Audio & Annotation Projects
We are looking to onboard Transcribers to support a range of upcoming audio processing projects. This role focuses on converting audio into accurate written text, with opportunities to contribute to annotation tasks depending on project needs.
Key Responsibilities
Transcribe audio files into clear, well-structured text
Work with a variety of audio types, including:
Single-speaker recordings
Podcasts
Multi-speaker conversations
Identify speakers where applicable
Ensure high accuracy and attention to detail
Follow project-specific transcription and formatting guidelines
Task Types
1. Transcription Tasks
Convert audio content into written text
Maintain consistency in formatting and structure
Ensure clarity and completeness of transcriptions
2. Annotation Tasks (Project-dependent)
Label or tag segments of text or audio
Categorize content based on provided guidelines
Support data quality and training datasets
Requirements
Native-like proficiency in Polish
Good written English
Strong listening and comprehension skills
Ability to follow detailed instructions and guidelines
Previous transcription or annotation experience is a plus, but not required
Availability
Minimum 4 hours of availability required during scheduled transcription shifts
Project Details
Flexible working hours – complete tasks at your own pace within project timelines
Tasks are completed via a secure online platform: Aurora Studio
Full guidelines and instructions are provided for each task
Ongoing support is available to ensure quality and consistency
Multiple similar projects are planned throughout 2026, offering potential for continued work
Location: Germany (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, 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
and follow us on
LinkedIn
and
X
.
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.
The Opportunity:
As a Sales Development Representative (SDR), you will focus on three core missions. One, you will help our users and prospects navigate their Grafana journey by engaging with and listening to them in order to provide them with appropriate resources and guidance. Two, with these learnings, you will partner with our Sales Team to connect with other influential people in these organizations to identify new business opportunities that are the pipeline for our company’s revenue goals by partnering proactively with our Sales Team. And three, you will develop valuable, transferable skills to help you achieve your career goals. By fulfilling our three core missions, you will contribute importantly to Grafana Labs’ community and business goals.
We understand that our commercial success is linked to our open source DNA and users’ success with our software. As such, we want team members who can effectively leverage this connection and help support the long-term health of our company.
In this role, you will balance reactive and proactive work, responding to inbound inquiries as well as outreaching to target accounts. You will need to research and have a detective mindset in order to craft thoughtful, value-add messaging; and you’ll need to be confident driving business conversations on the phone. You will need to know how to use AI as a tool to constantly improve your productivity.
This is a demanding and rewarding role. It is a fast-paced and challenging environment. While our company is growing sustainably, we still have a lot of building and improving to do. And we do this work together with our teammates from more than 15 different countries. We're looking for driven, humble, technically curious people who embrace a team-first attitude and demonstrate extreme ownership. This is a great team to join, whether you’re just starting your career or looking to pivot into the tech industry. You’ll have managers and teammates that care deeply about you as a professional and human, and you will learn more than you thought possible.
What You’ll Be Doing:
Build and maintain knowledge of our technology, competitors, open source ecosystem, and industry trends
Follow up on inbound leads effectively and efficiently
Use a multi-channel approach (email, social, calling) to proactively outreach to new leads within target accounts; our top SDRs are confident and effective on the phone
Use Salesforce and Grafana dashboards for lead and account management and research
Use research and data to prioritize and customize outreach to target prospects and accounts via email and LinkedIn
Drive effective discovery conversations to understand users’ needs and goals in to provide them the appropriate resources and communicate how Grafana can help them
Consistently meet new business opportunity and pipeline targets
Collaborate with cross-functional teams such as marketing and sales to win as a team
What Makes You a Great Fit:
Fluent in German and English (written and spoken)
Open to feedback and coaching, always looking for ways to improve
Clear and concise written and verbal communication style
Excellent organizational skills and the ability to prioritize many tasks and demands
Willingness and ability to take on any task - no matter how small or big - with a focus on quality
Resourceful and proactive in an environment that is constantly evolving
Driven by purpose and by winning with a team-first attitude
Located in Germany
Bonus Points For:
Let’s be honest - interviewing is not easy. However, we want you to come prepared and succeed. When we interview, we’re trying to determine a couple of things:
Would you be successful if you were part of our team?
Will you love working here and be a positive influence on your fellow colleagues?
Will you grow professionally and personally during your time here?
We’re looking for people who are curious and passionate about technology, so make sure you invest some time in learning about Grafana Labs. Explore our community, the industry we operate in, what we offer, and how we set ourselves apart.
During your interview, you’ll be sharing stories about your current and past roles and experiences. The best way to frame this is with the CARR model: Context, Action, Results, Reflection. This allows you to succinctly share the experiences you’ve gained.
Remember, humility drives learning and we love working with people who are always trying to better themselves. Throughout our interview process, you will receive feedback, and usually directly in the interview. As you move through the interview process, make sure you listen to the feedback you receive and figure out how to incorporate the advice in the next step of the interview.
Compensation & Rewards
In Germany, the OTE (On-Target Earnings) compensation range for this role is EUR 58,000 - EUR 62,000. 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
.
Location: Romania; Georgia; Albania; North Macedonia; Serbia; Bulgaria
About Huzzle
At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We’re hiring a
Technical SEO Specialist with a strong growth marketing mindset and UX awareness
to optimize website performance, improve organic visibility, and enhance user journeys. This role goes beyond traditional SEO—you’ll be responsible for analyzing technical SEO metrics, identifying conversion bottlenecks, and improving on-site experiences.
The ideal candidate has hands-on experience with
Webflow
, understands how websites are structured, and can collaborate effectively with developers—even if they are not actively coding.
Key Responsibilities
Conduct comprehensive technical SEO audits (site structure, crawlability, indexing, Core Web Vitals)
Analyse and optimise user journeys and conversion funnels to improve engagement and lead generation
Monitor and report on key SEO performance metrics (traffic, rankings, bounce rate, conversions)
Identify and fix technical issues affecting SEO performance (redirects, broken links, site speed, metadata)
Work within Webflow to implement on-page SEO improvements and optimise page structure
Collaborate with developers and designers to enhance UX and site performance
Execute growth marketing experiments (A/B testing, landing page optimisation, content improvements)
Implement and optimise internal linking strategies and site architecture
Stay updated with SEO trends, algorithm changes, and best practices
Requirements
2–5+ years experience in Technical SEO or similar role
Strong understanding of SEO tools (e.g., Ahrefs, SEMrush, Google Search Console, GA4)
Experience working with Webflow CMS (highly preferred)
Solid knowledge of website structure, HTML/CSS fundamentals, and on-page SEO principles
Experience analysing user behaviour, funnels, and conversion data
Familiarity with UX/UI best practices and CRO (Conversion Rate Optimisation)
Strong analytical mindset with the ability to turn data into actionable insights
Ability to collaborate with developers and communicate technical recommendations clearly
Experience in growth marketing or performance-driven environments is a strong plus
Benefits
💻 Fully Remote: Work from anywhere with international teams
🤝 Peer Community: Connect with high-performing sales professionals in our network
🧭 Ongoing Support: Receive guidance from Huzzle before and after placement
💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals
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