Location: San Francisco, CA | New York City, NY
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 is seeking an experienced Customer Programs Manager to build the operational foundation that allows our customer marketing engine to scale. As our advocacy and co-marketing programs grow across startups, digital-native businesses, and enterprise accounts, we need someone who can turn our scaled co-marketing program into a well-instrumented, repeatable and measurable system. You'll deploy resources and capital to create compelling customer stories across formats, and amplify them across both bespoke partnerships and agency-run campaigns. You’ll also own the broader customer marketing intake process and its tooling, and the system of record for how customers participate across advocacy and co-marketing.
You'll work closely with Sales, Partnerships, Marketing, Finance, and Brand, reconciling co-marketing spend each quarter, briefing agencies on which stories we want to tell, and partnering with Marketing Ops and Data Science to build the measurement framework we use to report back to leadership on impact. You'll help shape how a rapidly growing function operates, at a moment when customer proof is one of the most powerful levers we have for building trust in beneficial AI.
Key responsibilities:
Own the investment behind our customer co-marketing programs, covering allocation tracking, spend pacing, agency coordination, and quarterly budget reconciliation across a rotating cohort of customer accounts
Develop and execute co-marketing plans with participating customers that grow Claude adoption and the customer's own reach, coordinating with Growth Marketing on campaign strategy.
Run the always-on scaled co-marketing motion, co-producing high-quality creative assets with a rotating cohort of customers and deploying agency partners to amplify them as paid campaigns on the customer's own channels
Partner with Customer Marketing, Sales, and Partnerships to decide which customers we work with and build the criteria that keep those decisions consistent
Own the customer marketing intake process and its tooling, keeping it the system of record and building the playbooks that keep it consistent as we scale, partnering with Customer Marketing segment leads who own triage and prioritization for their segments
Define how we measure the impact of our customer marketing investments, working with Marketing Ops and Data Science, and use that measurement to shape investment decisions with leadership
Report back to participating customers on what their participation returned, measured on the outcomes they care about, like reach, engagement, and new customer acquisition
Use Claude as a core part of your operational toolkit — building skills, automating intake and triage, and finding leverage wherever a process can be made faster or smarter for the Customer Marketing team
Minimum qualifications
Managed co-marketing growth or partner investment programs and are comfortable with the reconciliation, forecasting, agency coordination, and stakeholder reporting that comes with it
Managed agencies as a working partner, developing the brief, directing the work, and holding the quality bar on co-branded creative
Built joint marketing plans with partners or customers that served their goals as much as your own
Working knowledge of demand generation and paid social and the ability to optimize campaigns
Experience defining how a program gets measured and proving its impact, both to your own leadership and back to the customer in the terms they care about
Existing fluency with Claude, and the instinct to reach for it to automate, analyze, and scale your own work
Comfort building in a fast-moving environment where the program, the budget, and the priorities are all still taking shape
Preferred qualifications
7+ years in B2B SaaS marketing, including at least 3 years in customer marketing. Partner marketing or program management experience is a strong plus.
Experience operating co-marketing or partner marketing programs at a developer-focused or AI/ML company
Background in revenue operations or marketing analytics, and hands-on comfort in Salesforce and BI tooling
Experience proving incremental program impact against a comparison group rather than reporting activity
Experience standing up or owning the tooling behind a marketing program — intake forms, workflow automation, dashboards, or a customer participation database
Comfort working closely with Sales teams and an understanding of how customer marketing supports pipeline and retention
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:
$255,000
—
$320,000 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: San Francisco, CA | New York City, NY
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 community spans developers building new products, individual Claude users, and practitioners and buyers inside enterprise accounts — from the staff engineer using Claude Code to C-Suite decision-makers. We're hiring a Head of Community to turn our current set of programs into a function that helps millions of people build real skills with Claude, measurably growing retained users and product adoption.
You'll lead and grow a global team that covers ambassadors programs, regional community leads, and enterprise champion programs. Your job is to give this team a sharp operating model and a measurement framework that ladders our initiatives to business outcomes, so users can get the most out of Claude. You'll build community across audiences, seniority levels, functions, and roles: enterprise buyers and executive sponsors, developers and technical practitioners, and the knowledge workers in between. This role sits at the intersection of Product, Sales, PMM, Brand, and Comms.
Key responsibilities
Own the global community strategy and operating model: the audience thesis, the portfolio of programs, and what's built centrally vs. run in-region
Lead, coach, and scale a global team of program and regional owners; hire the gaps, set the bar, and develop community-native operators
Define the measurement framework that replaces activity metrics: partner with Product and Data Science to define success metrics and segment the base (non-user → occasional → high-value daily) — with recurring retained users and product adoption as the top-line outcomes
Build community across the full range of audiences and seniority levels, with programs and voice tuned to each without fragmenting the experience
Connect bottoms-up adoption to enterprise expansion: architect the champions, train-the-trainer, and partner ecosystem motions that turn power users inside accounts into org-wide adoption, and integrate them into how Sales and CS run strategic account plans
Bring training, certification, enablement, and community help together into one engine that scales through champions and partners — so users experience a single path to skill-building with Claude
Partner tightly with Brand and Comms to keep sentiment and awareness healthy: define where community shows up in Anthropic's brand and how we best serve our users
Align community strategy proactively with product direction, launches, and pricing & packaging — owning community's job pre-launch, at launch, and post-launch, and proving it drives value for our users
Minimum qualifications
Have built and led a community or customer advocacy function at a company where community was a growth lever, not a cost center — and can point to the retention, adoption, or expansion outcomes it drove
Have led and developed a distributed team of program owners and regional leads accountable for commercial impact
Think in funnels and segments as naturally as you think in programs: you're comfortable putting your name on a metric in a QBR and defending how community moved it
Have connected self-serve, bottoms-up adoption inside large accounts to enterprise expansion, and can articulate exactly where community sits in that motion
Can flex your playbook across very different audiences — a technical, API-first developer community and an enterprise executive buyer community are different jobs, and you've done versions of both
Operate as an integrated marketer: you've worked day-to-day with cross-functional teams and have strong opinions about how community stays customer-first
Are comfortable partnering with Product and Data Science to define usage quality, instrument it, and hold your team to it
Write and communicate clearly, hold a room with both a Staff engineer and a CIO, and are energized by ambiguity and building at speed
Preferred qualifications
Run community or advocacy at a company operating both a PLG / self-serve motion and an enterprise sales motion at the same time
Built or led a recognized champions, ambassadors, or advocacy program at a company known for the model
Experience with developer tools, infrastructure, or AI products, and credibility with technical audiences
Built the measurement plumbing for a community function before including cohorting, attribution, and usage segmentation
International experience standing up or scaling community in-region (EMEA, Japan/APAC) with a clear philosophy on what runs centrally vs. locally
A track record of listening to communities and building user trust through hard moments alongside a Comms team
Background spanning more than one of: community, customer marketing, developer relations, customer education/enablement, or growth
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:
$400,000
—
$400,000 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:
Africa / Flexible
Scope:
International
Employment Type:
Full-Time
About ESS
ESS is an international environmental, social, health, and sustainability consultancy supporting clients across a range of sectors and markets. Our work includes
mining, energy, infrastructure, agriculture, industrial development, ESG, sustainability, and environmental and social advisory services
.
We are looking for a
Senior Marketing Specialist
to lead and develop ESS's marketing strategy and strengthen the company's positioning across its markets.
The successful candidate will be
based in Africa
, with a strong understanding of African markets and business environments, while having the ability to develop marketing strategies, campaigns, and communications for an
international audience
.
This is a strategic role for an experienced marketing professional who can combine
marketing expertise, commercial thinking, strong communication skills, and an understanding of technical consulting services
.
Key Responsibilities
Marketing Strategy & Leadership
Develop and implement ESS's overall marketing strategy in alignment with the company's growth and business development objectives.
Establish marketing priorities, KPIs, budgets, and performance measures.
Develop targeted marketing strategies for different markets, sectors, services, and client audiences.
Identify market trends, emerging opportunities, and areas for business growth.
Strengthen ESS's positioning within the environmental, social, ESG, sustainability, and technical consulting markets.
Provide strategic marketing advice to senior management and business development teams.
Brand & Market Positioning
Lead and strengthen ESS's brand identity, messaging, and market positioning.
Develop clear and compelling value propositions for different markets and client segments.
Ensure consistency of ESS's brand across international communications and platforms.
Lead the development of corporate profiles, capability statements, case studies, presentations, brochures, and other marketing materials.
Position ESS as a credible and distinctive international consultancy within its target sectors.
Digital Marketing & Content
Lead ESS's digital marketing and communications strategy.
Develop and oversee content for
LinkedIn, website, newsletters, campaigns, and other digital platforms
.
Develop thought leadership content around
ESG, sustainability, environmental and social management, mining, energy, and infrastructure
.
Translate complex technical services and project experience into clear, engaging, and commercially relevant content.
Monitor digital performance, audience engagement, and lead generation, and use analytics to improve results.
Business Development & Market Intelligence
Work closely with senior management and business development teams to support lead generation and client acquisition.
Conduct market research and competitive analysis across priority markets.
Identify new sectors, markets, partnerships, and client opportunities.
Develop targeted account-based marketing and sector-specific campaigns.
Support conferences, industry events, webinars, and strategic networking activities.
Contribute to proposals, tenders, prequalification submissions, and other business development materials.
Africa Market Knowledge
Leverage a strong understanding of
African markets, industries, institutions, and business environments
to support ESS's regional growth.
Identify market opportunities and emerging trends across African countries.
Develop marketing approaches that are relevant to African clients while maintaining ESS's international positioning.
Build relationships with relevant professional networks, industry associations, media, and strategic stakeholders.
Collaboration & Management
Coordinate marketing activities across ESS teams and markets.
Work closely with technical specialists to develop accurate and compelling marketing content.
Manage external marketing agencies, designers, consultants, and other suppliers when required.
Establish efficient marketing processes, standards, and reporting.
Support and guide other marketing and communications resources within ESS.
Qualifications & Experience
Master's degree in
Marketing, Communications, Business, Public Relations
, or a related discipline.
10+ years of progressive marketing experience
, including significant experience in a strategic or leadership capacity.
Proven experience developing and implementing
multi-market or international marketing strategies
.
Experience in
professional services, consulting, engineering, environmental services, ESG, sustainability, mining, energy, infrastructure, or another technical B2B environment
is highly desirable.
Experience within the environmental, ESG, sustainability, or social consulting sector is a strong advantage.
Experience marketing technical or professional consultancy services is particularly desirable.
Strong understanding of
African markets and business environments
.
International exposure and experience working with international clients or organisations is an advantage.
Languages
Fluent English and French required.
Excellent written and verbal communication skills in both languages.
Additional languages are an advantage.
Key Competencies
Strong strategic and commercial mindset.
Excellent understanding of B2B and professional-services marketing.
Strong brand, digital marketing, content, and communications expertise.
Ability to translate complex technical information into compelling commercial messaging.
Strong market research and analytical skills.
Excellent stakeholder management and influencing abilities.
Data-driven approach to marketing performance.
Strong project management and organisational skills.
Creative, proactive, and results-oriented.
Ability to work independently while collaborating effectively with senior leadership and multidisciplinary teams.
Strong understanding of different cultural and business environments.
What ESS Offers
A strategic marketing leadership position within an international consultancy.
The opportunity to shape ESS's
international brand, positioning, and growth strategy
.
Exposure to major sectors including
environmental and social consulting, ESG, mining, energy, infrastructure, and sustainability
.
Collaboration with international technical, commercial, and business development teams.
Significant autonomy to develop and implement new marketing initiatives.
A dynamic, multicultural working environment with opportunities for professional growth.
Location: Mumbai, India
We are?
A leading specialist engineering services company delivering integrated solutions for complex energy and infrastructure projects and operating assets. Our business is built on the belief that our people are what make EnerMech excellent. When we are thriving globally it's not just about investing in our infrastructure, service offering and technology, but by also investing in our people.
We are looking to recruit a Senior Contracts Specialist who will be based at our offices in Mumbai. This role will report to the Contracts Manager in the UK and will support various regions including Europe, Africa and the Middle East.
The role
The Senior Contracts Specialist role is primarily responsible for leading the reviewing and coordinating of responses to client contractual agreements.
Ensure that the business risks are reduced to a minimum and that the company contracting principles are upheld.
Supporting the relevant regions, alongside regional leadership and Corporate in the review, risk analysis and implementation of a range of material agreements.
Main Responsibilities & Key Result Areas
Develops Tender Strategies in accordance with company processes and procedures.
Drive contractual support in various international regions
Helps maintain a forward plan for forthcoming contractual support projects.
Lead the review of client contractual documents ensuring risk and exposure areas are highlighted and qualified, giving full justification for the qualification.
Ensuring the correct application of relevant agreements and contracts currently in place.
Manage qualification responses until closure ensuring compliance with any specific prescribed formats for submissions.
Ensure target dates are complied with for responses to clients.
Ensure contract and commercial negotiations are conducted in accordance with company procedures.
Release of received works into the Engineering and Project Departments of the company.
As required following a contract award, participate in any handover / kick off meeting with the operations team, including any relevant support functions, of the tender and any qualifications.
Take a role in continually reviewing and updating working processes and procedures.
Assist and in some instances, lead in the compilation of material agreements with agents, distributors, joint venture partners and others.
Provide assistance and advice in the resolution of contractual disputes.
Requirements
Minimum HNC/HND in Business Management, Quantity Surveying or Law or similar.
Experience in a contracts or proposals role or an engineering discipline function involved in producing cost estimates or proposals.
International experience in a Contracts role
Commercial and contractual diligence.
Risk analysis.
Preferred:
Project Management and delivery vs deadlines.
Advanced Microsoft Office skills.
Behaviors and Personal Qualities:
Conducts and/or supervises complex tasks requiring advanced knowledge of key skills or a thorough working knowledge of a range of key skills.
Develops wide range of collaborative links within the organization, actively seeking opportunities to extend network.
Participates appropriately in the identification of hazards, the assessment of risk and the identification of required control measures.
Generates new ideas and is good at putting them into a wider context.
Identifies and considers conflicting or ambiguous data in problem solving.
Manages progress against schedule and monitors against quality standards.
Demonstrates ability to interpret relevant commercial and/or legal obligations of role.
Demonstrates good knowledge and understanding of HSE behaviors and expectations.
Preferred:
Provides technical coaching / professional guidance and assists in the development of others.
Looks for opportunities before being asked and presents new ideas or approaches.
Deals effectively with pressure and conflicting priorities.
Works to develop team spirit and co-operation.
Location: South Africa
About Huzzle
At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups and established businesses in SaaS, MarTech, FinTech, and EdTech.
Unlike traditional outsourcing, you’ll be placed directly with a client as a core member of their team—giving you real ownership, career progression, and long-term stability.
Role Type: Full-time
Engagement: Independent Contractor
J
Job Summary
We are seeking a high-energy, resilient Sales Development Representative (SDR). In this role, you will be the engine of the sales pipeline, acting as the first point of contact for prospective B2B clients. You will be responsible for identifying high-value targets, initiating meaningful conversations, and qualifying opportunities to ensure a robust sales funnel. This is an ideal position for a driven professional who thrives in a fast-paced environment and excels at high-volume outreach.
Key Responsibilities
Conduct high-volume outbound prospecting through cold calling, email sequencing, and social selling.
Research and identify key decision-makers within our Ideal Customer Profile (ICP).
Master our sales stack—including Apollo and LinkedIn Sales Navigator—to build and manage lead lists.
Qualify leads through discovery calls to determine fit and pain points.
Schedule meetings and demos for Account Executives to drive revenue growth.
Maintain meticulous records of all activities and lead statuses within the CRM.
Requirements
Proven experience in a B2B sales or lead generation role.
Experience managing high call volumes (80+ daily) and maintaining a consistent activity pace.
Technical proficiency with modern sales tools, specifically Apollo and LinkedIn Sales Navigator.
Strong working knowledge of CRM systems and pipeline management.
Exceptional verbal and written communication skills with the ability to handle objections confidently.
A self-motivated mindset with the discipline to succeed in a fully remote environment.
Previous experience in a high-growth startup environment.
Familiarity with specialized sales frameworks or closing techniques.
Demonstrated track record of exceeding monthly or quarterly quota targets.
Benefits
🌎 Fully remote role with flexible working hours
🚀 Work with high-growth international companies
📈 Clear career progression to Account Executive and beyond
🎯 Performance-based bonuses and incentives
🧠 Ongoing training, mentorship, and sales development support
Location: Remote - US
Overview
LaunchDarkly is seeking a creative and experienced Product Manager to lead our end-to-end data products, from SDK data ingest through our data platform to the customer-facing observability, metrics, and experimentation experiences built on top of it. You will own the vision and strategy for this entire pipeline as a coherent product, ensuring the data customers send us is trustworthy, timely, and transformed into experiences that help them ship better software. The ideal candidate has a deep understanding of data infrastructure, observability/analytics, and how customers and their agents consume and work with software delivery data.
Responsibilities
Define and lead the product vision, strategy, and roadmap for LaunchDarkly's end-to-end data products, spanning SDK event ingestion, our data platform, and customer-facing data products, ensuring alignment with company goals and customer requirements.
Own the strategy for AI-powered analysis of our data and the agent experience of our data products: how AI surfaces insights, anomalies, and recommendations from software delivery data, and how our data is modeled, exposed, and made consumable so that AI agents are first-class consumers alongside humans.
Own the product strategy, platform definition, and GTM for our data products.
Treat the data pipeline as a single product: drive coherence across ingestion, processing, storage, and consumption so that every downstream experience (analytics, experimentation, insights, integrations) is built on a reliable, well-modeled foundation.
Collaborate with engineering, design, marketing, and sales teams to deliver high-quality products that meet customer needs.
Monitor industry trends and competitor products to stay ahead of the curve.
Act as the voice of the customer, ensuring their needs and pain points are addressed in all product decisions.
Partner with marketing and cross-functional teams including sales, customer success, and support to define Go-To-Market plans and strategy for data products and features.
Mentor and uplevel other product managers, and raise the bar for data-informed product practice across the organization.
About you
Curious:
More than anything, you love learning and are able to build opinions and expertise quickly across many domains.
Purpose-driven:
The how behind all your projects is driven by a clear definition of why we're solving the problem.
Agent-first:
You’re obsessive about pushing agents to their limits and often eschew UIs in favor of agent-first interactions.
Customer-centric:
You are driven to understand customer challenges and needs, crafting solutions that provide real value.
Product sense:
You love great software and can't stand bad software. You have a strong focus on craft, quality, and the ability to deeply empathize with the end user to deliver delightful experiences.
Systems thinker:
You see how the pieces connect. You're as comfortable reasoning about an ingestion pipeline's throughput as you are about the dashboard a customer sees, and you understand how decisions at one layer ripple through the others.
Collaborative:
You excel at working with diverse teams, seamlessly bridging customer stakeholders, ecosystem partners, and product development teams.
Effective communicator:
You build strong relationships and communicate with clarity and precision. You're an incredible writer who can concisely explain complex ideas in simple ways to a wide variety of audiences.
Adaptable:
You thrive in fast-paced environments and can effectively prioritize in order to manage multiple projects at once.
High agency:
You are motivated to achieve success and have a strong sense of ownership to deliver great outcomes across a broad range of responsibilities. Even if it's not your responsibility, if you see something that needs to be done, you make sure it happens.
Business acumen:
You understand how technical solutions tie to business objectives and can align projects to meet customer and company goals.
Qualifications
8+ years of product experience, especially with data platforms, data infrastructure, analytics, or developer tools.
Alternatively, 8+ years of engineering experience in data-intensive systems with a strong product mindset and a desire to transition into a product management role.
We will consider candidates with fewer years of experience who demonstrate exceptional potential and excitement to get into the space, or who bring significant hands-on experience with AI-powered data analysis.
Proven track record of successfully bringing data products to market and driving strategy across multiple teams or a platform-scale product area.
Strong understanding of modern data architectures: event/streaming pipelines, data warehousing and lakehouse patterns, data modeling, and the trade-offs of processing data at scale.
Experience with both platform products (where the customer is internal teams or developers) and end-user-facing data products (analytics, observability, insights, experimentation), and an understanding of how the two must work together.
Excellent analytical, problem-solving, and decision-making skills.
Strong communication and interpersonal skills, with the ability to collaborate effectively with and influence cross-functional teams and senior leadership.
Pay:
Target pay ranges based on Geographic Zones* for Level 5:
Zone 1:
San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle
- $214,800 - $295,350 **
Zone 2:
Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago -
$193,400 - $265,870**
Zone 3:
All other US locations -
$182,600 - $251,020*
LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location.
*Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas.
**Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary.
About LaunchDarkly:
Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations.
The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by:
Improving the velocity and stability of software releases, without the fear of end customer outages
Delivering targeted experiences by easily personalizing features to customer cohorts
Maximizing the business impact of every feature through the ability to experiment and optimize
Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types
Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability
At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at
hr@launchdarkly.com
.
Do you need a disability accommodation?
Fill out this
accommodations request form
and someone from our People Operations team will contact you for assistance.
Your safety matters to us.
To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @
launchdarkly.com
email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains. Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit
Careers | LaunchDarkly
directly for confirmed job openings and links to apply.
Please notify us of any fraudulent representation by sending an email to
careers@launchdarkly.com
.
Location: San Francisco, CA | New York City, NY
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 is seeking a Software Engineer to help build the technical foundation for how Anthropic educates customers and enterprises at scale, and to shape what that even means when AI is the delivery mechanism, not just the subject being taught.
Your work will define how millions of people experience learning about Claude: how content is served and adapted in real time, how assessments respond to what a learner actually understands, how credentialing systems verify genuine competence rather than course completion, and how the entire platform evolves as fast as the product it teaches. You'll build the infrastructure that makes AI-native education real — not as a concept, but as a working system that people interact with every day.
You’ll own the technical vision for our AI-driven educational experience: the platform layer, enterprise readiness features, the data architecture, the AI-augmented pipelines, the integrations, and the delivery systems. You'll work with a handful of highly technical educational collaborators to own the technical vision and execution for how Anthropic’s education team delivers educational experiences at scale, and you'll build the AI-augmented pipelines and platform capabilities that let a small team of educators operate with reach and responsiveness that would otherwise require an organization ten times larger.
This is an engineering role for someone who genuinely cares about how people learn. You'll make platform decisions that are deeply educational, and you need the judgment to make those decisions well, not just implement someone else's spec. You'll interface closely with Anthropic's security, infrastructure, and data teams, and you'll partner with trainers and educators on the GTM, devrel, and education teams who will be your primary stakeholders.
Responsibilities
Architect and own Anthropic’s enterprise ready education platform and infrastructure — authentication/SSO, learner data models, content delivery, credentialing, and progress tracking — designed for scale, AI-forward features, and reliability from day one
Own the technical vision for how Anthropic delivers AI-driven educational experiences and shaping what's possible, not just building what's requested. You’ll determine what to build, what to extend, and what to replace as needs evolve
Build AI-augmented pipelines for content generation, real-time adaptation, assessment delivery, and quality assurance — working closely with the education team to understand what these systems need to do pedagogically
Design platform capabilities that enable genuinely new kinds of empowering learning experiences — adaptive paths, competency-based progression, AI-evaluated demonstrations of skill — not just digital versions of traditional courses
Interface with Anthropic's security, infrastructure, and data teams to ensure education systems meet organizational standards and integrate cleanly with existing architecture
Build platform abstractions that let non-engineers on the team configure, extend, and experiment with educational experiences without engineering bottlenecks
Make product-level decisions about how the platform works — you're shaping what the learning experience is, not just serving it
You may be a good fit if you have
7+ years of software engineering experience, with demonstrated ability to take a platform from zero to production at scale
Genuine passion for education — you think about how people learn, you have opinions about what educational technology should look like in an AI-native world, and you want to build it
A strong eye for quality educational content, with a sense of the complex systems that produce it
Full-stack engineering skills with particular strength in backend systems: databases, APIs, authentication, reliability, and infrastructure
Experience building and operating platforms that serve many concurrent users reliably
Comfort with ambiguity and ownership: you'll need to translate pedagogical intent into technical architecture without heavy specification
Experience interfacing with security and infrastructure teams to meet organizational requirements while maintaining development velocity
A working practice of using AI tools in your own engineering workflows — and genuine curiosity about how AI fundamentally changes what educational platforms can be
Strong candidates may also have
Experience building or significantly contributing to learning platforms, credentialing systems, or educational technology products
Background in or exposure to learning science, instructional design, or educational research
Experience with SSO/identity (SAML, OAuth), badging standards (Open Badges), or LTI integrations
Familiarity with building systems that incorporate LLM capabilities as core infrastructure
Prior work at a high-growth company where you built platform infrastructure that other teams depended on
Experience designing systems that non-technical users configure and operate
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:
$320,000
—
$405,000 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: Oakland, California, United States
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran and dbt Labs is building data pipelines to power the modern data stack for thousands of companies.
We're looking for a senior software engineer to join our Metadata team, which owns the metadata layer of the dbt platform — the discovery API, catalog, lineage, and run history services that let customers understand, trust, and act on what their data is doing.
You'll own the design and delivery of features end to end, working across high-throughput APIs and data models to make them faster, more reliable, and more capable. You'll write and review designs, raise the quality bar in code review, use the latest AI tools, and collaborate closely with product and QE to deliver work that scales.
Technologies You’ll Use
Python, Rust, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog
What You’ll Do
Design and implement features and performance improvements across the Metadata team's services — discovery API, catalog, lineage, and run history
Develop, maintain, and test high-quality, maintainable code, and optimize critical paths for performance
Write technical designs for feature-level work, actively seek feedback, and clearly explain the trade-offs of your decisions
Participate in and review technical designs and pull requests, providing constructive feedback to the team
Improve test coverage with comprehensive unit tests and refactor code to drive down tech debt
Troubleshoot and debug production issues, and follow up on incidents with post-mortems and mitigation plans
Break features into tasks, structure and execute your own project plans, and contribute to sprint and feature planning
Collaborate with product managers, QE, customer support, and peers to deliver the best product with high quality, performance, and scalability
Participate periodically in the on-call rotation, and be mindful of security throughout your work
Use AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans
Skills We’re Looking For
5+ years of experience in the software industry with a passion for solving complex software engineering problems, including designing and building backend services and reusable components from the ground up
Experience working with distributed systems and cloud computing concepts
Demonstrated ability to write well-structured, performant, and well-tested code
Ability to independently lead feature-level software and design work that satisfies project requirements, and to clearly explain design trade-offs
Can identify design flaws in existing systems and propose improvements
Experience with code reviews, design, troubleshooting, and testing
Proficiency in a modern backend or systems language such as Python, Java, C++, or C#
Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)
Experience with continuous integration tooling such as BuildKite, and familiarity with observability tools like Datadog or Grafana is a plus
Fluent in using AI code assistants and coding agents to generate and investigate code, and conversational AI (e.g. Claude, ChatGPT) to research, author, review, and synthesize SDLC artifacts
Bonus Skills
Experience in data processing (ETL, ELT) and/or cloud-based data platforms
Experience building or working with metadata, catalog, lineage, or discovery/search systems
Experience with GraphQL APIs and high-throughput, multi-tenant data services
Familiarity with the analytics engineering workflow and the dbt ecosystem
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Oakland Pay Range
$174,915
—
$209,906 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Denver, Colorado, United States, AMER
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran and dbt Labs is building data pipelines to power the modern data stack for thousands of companies.
We're looking for a senior software engineer to join our Metadata team, which owns the metadata layer of the dbt platform — the discovery API, catalog, lineage, and run history services that let customers understand, trust, and act on what their data is doing.
You'll own the design and delivery of features end to end, working across high-throughput APIs and data models to make them faster, more reliable, and more capable. You'll write and review designs, raise the quality bar in code review, use the latest AI tools, and collaborate closely with product and QE to deliver work that scales.
Technologies You’ll Use
Python, Rust, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog
What You’ll Do
Design and implement features and performance improvements across the Metadata team's services — discovery API, catalog, lineage, and run history
Develop, maintain, and test high-quality, maintainable code, and optimize critical paths for performance
Write technical designs for feature-level work, actively seek feedback, and clearly explain the trade-offs of your decisions
Participate in and review technical designs and pull requests, providing constructive feedback to the team
Improve test coverage with comprehensive unit tests and refactor code to drive down tech debt
Troubleshoot and debug production issues, and follow up on incidents with post-mortems and mitigation plans
Break features into tasks, structure and execute your own project plans, and contribute to sprint and feature planning
Collaborate with product managers, QE, customer support, and peers to deliver the best product with high quality, performance, and scalability
Participate periodically in the on-call rotation, and be mindful of security throughout your work
Use AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans
Skills We’re Looking For
5+ years of experience in the software industry with a passion for solving complex software engineering problems, including designing and building backend services and reusable components from the ground up
Experience working with distributed systems and cloud computing concepts
Demonstrated ability to write well-structured, performant, and well-tested code
Ability to independently lead feature-level software and design work that satisfies project requirements, and to clearly explain design trade-offs
Can identify design flaws in existing systems and propose improvements
Experience with code reviews, design, troubleshooting, and testing
Proficiency in a modern backend or systems language such as Python, Java, C++, or C#
Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)
Experience with continuous integration tooling such as BuildKite, and familiarity with observability tools like Datadog or Grafana is a plus
Fluent in using AI code assistants and coding agents to generate and investigate code, and conversational AI (e.g. Claude, ChatGPT) to research, author, review, and synthesize SDLC artifacts
Bonus Skills
Experience in data processing (ETL, ELT) and/or cloud-based data platforms
Experience building or working with metadata, catalog, lineage, or discovery/search systems
Experience with GraphQL APIs and high-throughput, multi-tenant data services
Familiarity with the analytics engineering workflow and the dbt ecosystem
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Denver Pay Range
$163,920
—
$196,712 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Ontario, Canada
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran and dbt Labs is building data pipelines to power the modern data stack for thousands of companies.
We're looking for a senior software engineer to join our Metadata team, which owns the metadata layer of the dbt platform — the discovery API, catalog, lineage, and run history services that let customers understand, trust, and act on what their data is doing.
You'll own the design and delivery of features end to end, working across high-throughput APIs and data models to make them faster, more reliable, and more capable. You'll write and review designs, raise the quality bar in code review, use the latest AI tools, and collaborate closely with product and QE to deliver work that scales.
Technologies You’ll Use
Python, Rust, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog
What You’ll Do
Design and implement features and performance improvements across the Metadata team's services — discovery API, catalog, lineage, and run history
Develop, maintain, and test high-quality, maintainable code, and optimize critical paths for performance
Write technical designs for feature-level work, actively seek feedback, and clearly explain the trade-offs of your decisions
Participate in and review technical designs and pull requests, providing constructive feedback to the team
Improve test coverage with comprehensive unit tests and refactor code to drive down tech debt
Troubleshoot and debug production issues, and follow up on incidents with post-mortems and mitigation plans
Break features into tasks, structure and execute your own project plans, and contribute to sprint and feature planning
Collaborate with product managers, QE, customer support, and peers to deliver the best product with high quality, performance, and scalability
Participate periodically in the on-call rotation, and be mindful of security throughout your work
Use AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans
Skills We’re Looking For
5+ years of experience in the software industry with a passion for solving complex software engineering problems, including designing and building backend services and reusable components from the ground up
Experience working with distributed systems and cloud computing concepts
Demonstrated ability to write well-structured, performant, and well-tested code
Ability to independently lead feature-level software and design work that satisfies project requirements, and to clearly explain design trade-offs
Can identify design flaws in existing systems and propose improvements
Experience with code reviews, design, troubleshooting, and testing
Proficiency in a modern backend or systems language such as Python, Java, C++, or C#
Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)
Experience with continuous integration tooling such as BuildKite, and familiarity with observability tools like Datadog or Grafana is a plus
Fluent in using AI code assistants and coding agents to generate and investigate code, and conversational AI (e.g. Claude, ChatGPT) to research, author, review, and synthesize SDLC artifacts
Bonus Skills
Experience in data processing (ETL, ELT) and/or cloud-based data platforms
Experience building or working with metadata, catalog, lineage, or discovery/search systems
Experience with GraphQL APIs and high-throughput, multi-tenant data services
Familiarity with the analytics engineering workflow and the dbt ecosystem
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Ontario Pay Range
$139,869
—
$167,849.50 CAD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Toronto, Ontario, Canada
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran and dbt Labs are building data pipelines to power the modern data stack for thousands of companies.
We're looking for a staff software engineer to be a technical leader on our Metadata team, which owns the metadata layer of the dbt platform — the discovery API, catalog, lineage, and run history services that let customers understand, trust, and act on what their data is doing.
As a
Staff Software Engineer
, you'll contribute to the technical direction for the team. You'll own the architecture of major subsystems, lead complex projects that span multiple engineers, and raise the bar for design and code quality across the team. You'll spend your time on the hardest technical problems, and multiply the team through design reviews, coaching, and mentorship.
Technologies You'll Use
Python, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog
What You'll Do
Lead the design and delivery of complex, team-level projects across the Metadata services, coordinating development across multiple engineers
Independently design and develop the architecture of new subsystems, and own team-level subsystems end to end
Use AI tooling and agents — across development and SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans
Review and approve technical designs, ensuring they meet a high quality bar, and identify design deficiencies before they ship
Drive technical initiatives across the team's responsibility areas — discovery API, catalog, lineage, and run history
Set and uphold design, architecture, and coding best practices, and hold teammates accountable for code quality
Coach and mentor engineers, demonstrably improving the quality of code across the team
Write technical specs, document common components, and keep the team accountable for necessary project documentation
Fix and optimize critical parts of the codebase, drive incident follow-through, and advance the reliability and performance of the services you own
Participate periodically in the on-call rotation
Skills We're Looking For
8+ years of software engineering experience with a track record of leading complex, team-scope technical work to completion
Deep expertise designing and owning subsystems in distributed, cloud-based systems
Demonstrated ability to set technical direction for a team and drive multi-engineer initiatives across an area of ownership
Excellent design and architecture judgment; identifies design flaws in existing systems and proposes sound solutions with clear trade-offs
Writes exemplary, well-tested code that serves as a model for others, and reliably estimates and delivers sprint to sprint
Strong track record of raising quality through code review, coaching peers, and enforcing accepted engineering practices
Experience partnering with QE on test strategy and owning operational health — incidents, post-mortems, reliability, and performance
Proficiency in a modern backend or systems language such as Python, Java, C++, or C#
Hands-on experience with cloud platforms (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and managing dev infrastructure
Fluent in using AI code assistants and coding agents to generate and investigate code, and conversational AI (e.g. Claude, ChatGPT) to author, review, and synthesize SDLC artifacts — and able to model those practices for a team
Bonus Skills
Experience in data processing (ETL, ELT) and/or cloud-based data platforms
Experience architecting metadata, catalog, lineage, or discovery/search systems
Experience with GraphQL APIs and high-throughput, multi-tenant data services
Familiarity with the analytics engineering workflow and the dbt ecosystem
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Ontario Pay Range
$162,157.50
—
$198,877.25 CAD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Denver, Colorado, United States, AMER
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran and dbt Labs are building data pipelines to power the modern data stack for thousands of companies.
We're looking for a staff software engineer to be a technical leader on our Metadata team, which owns the metadata layer of the dbt platform — the discovery API, catalog, lineage, and run history services that let customers understand, trust, and act on what their data is doing.
As a
Staff Software Engineer
, you'll contribute to the technical direction for the team. You'll own the architecture of major subsystems, lead complex projects that span multiple engineers, and raise the bar for design and code quality across the team. You'll spend your time on the hardest technical problems, and multiply the team through design reviews, coaching, and mentorship.
This is a full-time, remote position. We do expect the successful candidate to come to the Denver, CA office from time to time.
Technologies You'll Use
Python, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog
What You'll Do
Lead the design and delivery of complex, team-level projects across the Metadata services, coordinating development across multiple engineers
Independently design and develop the architecture of new subsystems, and own team-level subsystems end to end
Use AI tooling and agents — across development and SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans
Review and approve technical designs, ensuring they meet a high quality bar, and identify design deficiencies before they ship
Drive technical initiatives across the team's responsibility areas — discovery API, catalog, lineage, and run history
Set and uphold design, architecture, and coding best practices, and hold teammates accountable for code quality
Coach and mentor engineers, demonstrably improving the quality of code across the team
Write technical specs, document common components, and keep the team accountable for necessary project documentation
Fix and optimize critical parts of the codebase, drive incident follow-through, and advance the reliability and performance of the services you own
Participate periodically in the on-call rotation
Skills We're Looking For
8+ years of software engineering experience with a track record of leading complex, team-scope technical work to completion
Deep expertise designing and owning subsystems in distributed, cloud-based systems
Demonstrated ability to set technical direction for a team and drive multi-engineer initiatives across an area of ownership
Excellent design and architecture judgment; identifies design flaws in existing systems and proposes sound solutions with clear trade-offs
Writes exemplary, well-tested code that serves as a model for others, and reliably estimates and delivers sprint to sprint
Strong track record of raising quality through code review, coaching peers, and enforcing accepted engineering practices
Experience partnering with QE on test strategy and owning operational health — incidents, post-mortems, reliability, and performance
Proficiency in a modern backend or systems language such as Python, Java, C++, or C#
Hands-on experience with cloud platforms (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and managing dev infrastructure
Fluent in using AI code assistants and coding agents to generate and investigate code, and conversational AI (e.g. Claude, ChatGPT) to author, review, and synthesize SDLC artifacts — and able to model those practices for a team
Bonus Skills
Experience in data processing (ETL, ELT) and/or cloud-based data platforms
Experience architecting metadata, catalog, lineage, or discovery/search systems
Experience with GraphQL APIs and high-throughput, multi-tenant data services
Familiarity with the analytics engineering workflow and the dbt ecosystem
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Denver Pay Range
$183,711
—
$229,638.75 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Toronto, Ontario, Canada
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
T
ogether, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran and dbt Labs are building data pipelines to power the modern data stack for thousands of companies. We're looking for an engineering manager to lead our Metadata team, which owns the metadata layer of the dbt platform: the discovery API, catalog, lineage, and run history services that let customers understand, trust, and act on what their data is doing.
You'll own technical excellence and delivery of a single team, from evolving high-throughput APIs and data models, to hardening reliability and latency for enterprise and single-tenant customers, to shipping new discovery and catalog capabilities in close partnership with product. You'll set direction, review designs and code, remove roadblocks, and grow the engineers on your team through coaching, feedback, and clear career development.
What You'll Do
Lead and grow a team of software engineers, owning hiring, onboarding, coaching, career development plans, and regular 1:1s and check-ins
Own project delivery for your team against the quarterly plan, and be accountable for the reliability and performance of the services you own (e.g. uptime and latency targets)
Review technical designs and code, and provide feedback grounded in a deep understanding of the Metadata product area and architecture
Drive the team to address technical quality — incidents, bugs, tech debt, and post-mortems — within SLA and metric targets
Partner with product and business stakeholders on planning, and maintain a realistic, prioritized feature and project backlog with a high completion rate
Contextualize and communicate the engineering vision and strategy to your team, and share the team's work and business impact with adjacent teams
Ensure engineering processes (e.g. FDLC) are implemented and consistently followed
Delegate effectively and build autonomy and a positive, high-trust culture within the team
Address performance issues and conflict promptly and fairly
Ensure your team uses AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans
Skills We're Looking For
Experience managing and growing a software engineering team(ideally a customer-facing product development team); including hiring, coaching, and running a full performance and career-development cycle
Strong technical foundation with the ability to review designs and code and make sound architectural trade-offs in a distributed, cloud-based systems environment
Track record of delivering complex projects on schedule while holding the team to high standards of quality, reliability, and performance
Experience owning production services and driving operational health — incident response, on-call practices, tech-debt reduction, and meeting SLAs
Ability to plan and prioritize with product partners, maintain a realistic backlog, and drive high sprint and quarterly completion rates
Communicates clearly and effectively across the team and with adjacent teams and stakeholders; keeps people well informed
Fluent in using AI code assistants, coding agents, and conversational AI (e.g. Claude, ChatGPT) to support the software development lifecycle, and able to establish those practices across a team
Bonus Skills
Experience building or operating metadata, catalog, lineage, or discovery/search systems
Experience with GraphQL APIs and high-throughput, multi-tenant data services
Familiarity with the analytics engineering workflow and the dbt ecosystem
Experience supporting enterprise or single-tenant customers with strict reliability and latency requirements
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Ontario Pay Range
$186,701
—
$233,376 CAD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: London, UK
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 is building the Applied AI team to help the world's most ambitious organizations adopt Claude in ways that are transformative, safe, and lasting. Our Forward Deployed Engineers embed directly with strategic customers to ship production AI applications that solve real business problems. As this practice grows, we need a founding leader to build and scale it.
As the first FDE Manager, you'll own the team that sits at the frontier of enterprise AI deployment. You'll hire and develop a high-performing team of FDEs, set the technical and operational bar for customer engagements, and build the playbooks that turn one-off successes into repeatable patterns. You'll work hand-in-hand with Engagement Managers who own delivery logistics and stakeholder management, while you ensure your team is shipping quality code, growing technically, and representing Anthropic at the highest level in customer environments.
This is a player-coach role with a strong bias toward leadership. You'll stay close enough to the technical work to review architectures, debug production issues, and pair with your team when it matters — but your primary impact will come from the people you hire, the standards you set, and the culture you create. You'll partner cross-functionally with Sales, Product, and Engineering to shape how Anthropic serves its most strategic customers, and your team's field insights will directly influence product direction.
This role requires someone who thrives in ambiguity and is energized by building from zero to one. You'll be defining what good looks like for FDE management at Anthropic — there is no existing playbook to follow.
Responsibilities
Hire, develop, and retain a world-class team of Forward Deployed Engineers. Set a high bar for technical talent and customer instincts.
Conduct regular 1:1s, provide technical mentorship, and invest in the career growth of each team member. Create an environment where FDEs do the best work of their careers.
Staff and oversee customer engagements across your team's portfolio, making resource allocation decisions that balance customer needs, team development, and business priorities.
Collaborate with account teams and Engagement Managers during the pre-sales process to qualify engagements, scope work, and inform statements of work.
Review technical architectures and code produced by your FDEs, ensuring the team ships high-quality, production-ready solutions that solve real customer problems.
Stay hands-on enough to lead technical discovery sessions, prototype solutions, and debug complex issues alongside your team when needed.
Build repeatable playbooks, starter repositories, integration templates, and an internal knowledge base that captures what your team learns in the field.
Define team OKRs that tie to customer success outcomes and product adoption goals. Create operational cadences — standups, retros, engagement reviews — that keep the team aligned.
Partner with Product and Engineering to translate field insights into product improvements. Serve as the voice of the customer in internal planning.
Travel to customer sites as needed (25-50%), particularly during engagement kickoffs and for your team's highest-priority accounts.
You may be a good fit if you have
10+ years of experience in software engineering, solutions architecture, or a technical customer-facing role such as forward deployed engineering or consulting.
2+ years of people management experience within a services/post-sales/FDE organization with a track record of hiring, developing, and retaining strong engineers.
Experience building organizations from 0->1, not just inheriting an existing one.
Experience working directly with enterprise customers on technical implementations, including comfort navigating complex organizational dynamics.
Executive presence with the ability to move fluidly between strategic conversations with senior stakeholders and hands-on debugging sessions with engineers.
Strong written and verbal communication skills. You can translate technical complexity into clear narratives for diverse audiences.
Genuine excitement about building something new and defining what great looks like for a team that doesn't yet exist.
Why this role matters
You'll be a founding leader of a team that defines how enterprises adopt and scale AI. Your work will directly influence Anthropic's product direction, create reusable patterns for the broader customer base, and establish Anthropic as the trusted partner for AI transformation — all while advancing the responsible development of frontier AI systems.
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:
£255,000
—
£325,000 GBP
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 - Japan
Who we are
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to
hundreds of thousands of businesses
and empower millions of developers worldwide to craft personalized customer experiences.
Our dedication to
remote-first work
, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.
.
Hiring and how we work
We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!
Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.
.
See yourself at Twilio
Join the team as our next New Business Account Executive in Japan
About the job
This position is to play a key role as part of the growth strategy of Twilio Japan by winning new customers. You will be responsible for developing a strategy to acquire new customers for Twilio, collaborate with internal stakeholders, such as demand generation marketing, digital sales, partner managers and system engineers. Our customers are often application owners, product managers, line of business executives, CxO’s, Head’s of invitation, omni channel and digital strategy partners. Customer industries and segments are also spread from retail, financial services, manufacturing, transportation, public sectors, independent software vendors, system integrators and fast moving technology startups
Responsibilities
In this role, you’ll:
Develop and implement a comprehensive territory plan, winning strategy for target accounts, execute and adjust plan and priorities to maximize results of winning new customers and its business.
Collaborate with internal stakeholders, align shared goals and strategy and obtain support from them
Forecast the business, including sales funnel management, systematic follow up and discipline by utilizing SFDC and its supplement tools as source of truth for business and its pipelines.
Be an active spokesperson for Twilio Mission, Vision and Value, Corporate Story to our customers, potential customers, and any external partners who collaborate.
Qualifications
Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
*Required:
5+ years of combined experience in high-touch sales experience.
Comfortable working with business and highly technical leaders, while influencing their understanding and building supportive partnerships.
Demonstrated track record of growth of business, growth strategy development and execution.
Challenger mindset with appetite to acquire new business and customers
Record of delivering market driven results, especially to scale and enterprise customers
Business-level proficiency in English (both spoken and written) is preferred to effectively collaborate with internal stakeholders.
Desired:
Deep experience working with telecom companies, including SMS aggregators, carriers, or global communications platforms
Software, SaaS, CPaaS or CCaaS experience
Cloud Technology Sales - IaaS/PaaS, virtualization, security
Experience working with/at System Integrators, Resell and Value-Added resellers to drive large and broad customer coverage with external partner organizations
Location
This role will be remote, and based in Japan
Travel
We prioritize connection and opportunities to build relationships with our customers and each other. For this role,
approximately
25% travel
is anticipated to help you connect in-person in a meaningful way.
What We Offer
Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call
Twilio Magic
. Additionally, we empower employees to build
positive change in their communities
by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for,
please consider other open positions.
.
Stay alert to recruitment fraud
We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @
twilio.com
email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps.
.
Twilio is proud to be an equal opportunity employer.
We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.
Location: Espoo
Workplace: Hybrid
ROLE HIGHLIGHTS:
- Field Marketing Manager, Data
- Location: Espoo, Finland
- Department: Data & Missions Marketing
- Reports to: Director, Data & Missions Marketing
- Employment type: Permanent
- Workplace model: Hybrid (3 days / week in the office)
- Employment is subject to applicable security screening (incl. SUPO, where required)
WHY THIS ROLE MATTERS:
The Field Marketing Manager drives commercial impact by executing field-level marketing activities in close partnership with the Data sales team. This role translates campaign strategy into on-the-ground action, owning event execution and sales support across key markets and commercial verticals. The Field Marketing Manager operates at the intersection of sales and marketing, with a focus on generating qualified pipeline and accelerating deals through targeted field activities.
WHO WE ARE
ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth.
ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system.
ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future.
Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific.
YOUR DAY-TO-DAY RESPONSIBILITIES
- Partner closely with Data sales to identify field marketing priorities aligned to pipeline goals and key accounts.
- Plan and execute events end-to-end: trade shows, customer roundtables, field activations, and ICEYE-hosted events relevant to Data commercial verticals.
- Manage pre-event promotion, on-site coordination, and post-event follow-up including lead capture and handoff to sales.
- Adapt global campaign assets and messaging for field use, ensuring sales-ready materials are available for each activation.
- Coordinate with Product Marketing and Content Marketing to ensure field materials reflect current positioning and product messaging.
- Track and report on field marketing performance, sharing pipeline influence metrics and learnings with the marketing and sales teams.
- Maintain the field marketing calendar in alignment with sales priorities and the broader marketing campaign schedule.
- Brief sales teams on upcoming field activities and ensure alignment on objectives and follow-up process.
- Manage field marketing budget, tracking spend against plan and optimizing for commercial return.
- Support channel partner activation in collaboration with channel managers, including co-marketing materials, partner-facing event presence, and field enablement for hyperscalers, geospatial resellers, and system integrators.
WHAT WE’RE LOOKING FOR
Must haves:
- 6-10 years of relevant marketing experience in B2B or B2G environments, preferably in defense, technology, SaaS, geospatial, or data-driven industries.
- Demonstrated experience executing field marketing programs with direct sales collaboration and measurable pipeline impact.
- Strong event management skills: planning, logistics, promotion, and post-event follow-through.
- Experience adapting campaign messaging and assets for field and sales contexts across different commercial verticals.
- Experience supporting or working alongside channel sales motions, including co-marketing or partner enablement activities.
- Exceptional written and verbal communication skills.
- Fluency in Business English.
- Proven ability to collaborate with and influence sales teams.
- Thrives in a fast-paced growth environment.
- Flexible, hands-on approach with strong attention to execution detail.
WORKING AT ICEYE
At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.
HOW WE WORK (OUR VALUES)
- Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
- Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions.
- See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.
- Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
- Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
- Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
BENEFITS
Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help.
Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.
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
We are seeking a Strategic Finance Lead to provide finance leadership for our accelerator investments. In this role, you will be a key partner to our compute teams, providing financial expertise and guidance to optimize our compute investments and drive strategic decision-making.
In this role, you’ll develop deep expertise in the economics of AI compute, from the unit economics of individual training runs to the long-range financial planning of our accelerator fleet. You’ll build financial models that inform Anthropic’s investment decisions, own planning and forecasting processes for major cost centers, and translate complex technical dynamics into clear financial narratives for leadership.
This is a high-impact role for someone who thrives at the intersection of finance and technology, and who is energized by building frameworks from scratch in a fast-moving environment.
Key responsibilities
Finance lead for cloud accelerator compute spend, including budgeting, monthly forecasting, variance analysis, and financial plan maintenance
Build and maintain detailed bottoms-up data-driven financial models for accelerator infrastructure, including long-range forecasts, cost driver analyses, and investment scenario modeling
Develop deep expertise in compute contracts, pricing structures, and cost drivers, and surface optimization opportunities across our infrastructure
Serve as subject matter expert for Anthropic’s overall compute capacity plan, owning source of truth and plan of record
Support the implementation and management of financial planning tools (e.g., Pigment), ensuring our models and processes scale with the organization
Analyze the economics of model training and research compute, including ROI across different dimensions like training run sizes, chip types, data, etc, and distill into actionable framework for capacity planning and deployment
Partner closely with engineering and research teams to understand how training and reinforcement learning processes scale, and translate those technical dynamics into financial frameworks
You may be a good fit if you have:
Exceptional analytical skills with an ability to synthesize data into compelling insights and develop complex financial operating models
Extraordinary problem-solving and critical thinking abilities to come up with new frameworks for assessing profitability and capital efficiency in a rapidly evolving industry
Attention to detail and patience for getting to the source of truth on complex and interconnected underlying financial and legal frameworks
Comfort working cross-functionally and are adept at communicating complex financial information to non-finance audiences
Proven track record of partnering with technical teams to drive financial optimization initiatives
Excitement about working collaboratively in a fast-paced, dynamic environment and adapt well to change
Possess a bias towards action, strong work ethic, and have experience driving operational outcomes under tight timelines
Strong relationship building, business judgment, process management, and communication skills
Are passionate about Anthropic's mission to build safe, transformative AI systems
Are passionate about the effective integration of AI tools to streamline manual finance workflows
Background in AI, ML, or high-performance, large-scale computing infrastructure, including data centers, cloud service providers, etc
Preferred qualifications
7+ years of experience in strategic finance, infrastructure investment, private equity, growth equity, consulting, or investment banking, preferably with infrastructure, datacenter, or technology infrastructure experience
3+ years of experience specifically in cloud infrastructure financial management
Experience working directly with major cloud service providers (AWS, GCP, Azure)
MBA or other advanced degree in finance, economics, or business
Deep expertise in cloud service provider economics, contract structures, and pricing models
Experience with chip architecture economics and optimization strategies
Proficiency with financial modeling tools and languages (SQL, Python, Excel)
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:
$240,000
—
$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: Remote
Workplace: Remote
About Eneba
At Eneba, we’re building an open, safe and sustainable marketplace for the gamers of today and tomorrow. Our marketplace supports close to 20m+ active users (and growing fast!), provides a level of trust, safety and market accessibility unparalleled to none. We’re proud of what we’ve accomplished in such a short time and look forward to sharing this journey with you. Join us as we continue to scale, diversify our portfolio, and grow with the evolving community of gamers.
ABOUT THE ROLE
We are seeking a proactive and commercially-minded Head Of Business Unit to join our team. In this role, you will be responsible for driving significant project growth, with a clear mandate to scale and significantly increase our operations and outcomes. You will serve as a key strategic Leader, leveraging your start-up experience to navigate challenges, identify growth opportunities, and execute high-impact commercial initiatives.
Responsibilities
- Full accountability for the unit's P&L: revenue, margin and cost base — you set the KPIs, build the reporting, and make the pricing and investment trade-offs rather than escalating them.
- Stand up a new business line from a standing start — validate the opportunity, ship the first version, and get it to real revenue rather than inheriting something already running.
- Define positioning, pricing and channel strategy, plan market entry, and take accountability for the launch landing — not just the plan being written.
- Keep milestones, resources and dependencies on track across every workstream, without needing to be chased.
- Pull product, engineering, marketing and finance in the same direction, translate between them, and surface blockers early — usually without direct authority over the people involved.
- Replace manual workarounds with processes that scale as the unit grows, so the business doesn't depend on you holding it together.
- Develop and own the 12–24 month growth strategy. Identify and capitalize on new market opportunities, product categories, or monetization channels that materially move the needle.
- Transition from "founder-mode" execution to building scalable processes. Institutionalize repeatable playbooks for category management, supplier onboarding, and performance monitoring that enable sustained, rapid growth.
- Foster a high-velocity testing culture. Build the framework for hypothesis-driven development,design, launch, measure, and iterate on large-scale initiatives that unlock new revenue streams.
Requirements
- Demonstrated experience in a high-growth B2C startup or ecommerce marketplace environment within the Digital Products ecosystem. You have personally owned a growth metric and successfully scaled it significantly (e.g., from early-stage to high-scale operations).
- Exceptional commercial and numerical acumen. You do not just read data—you build sophisticated models, surface non-obvious insights, and translate complex metrics into clear, actionable business strategies.
- A history of leading large-scale projects from concept to market-ready execution. You have experience navigating the friction of cross-departmental alignment and delivering measurable outcomes under pressure.
- You thrive in unstructured, high-velocity environments. You have a proven ability to shape chaos into process and define order where none exists.
- Strong people-management capabilities (experience leading teams of 10+ is a plus). You know how to hire, coach, and mentor high-performing talent, and you possess the executive presence to present plans to leadership.
- A relentless "Get Things Done" mindset. You are results-driven, comfortable challenging the status quo, and willing to put in the necessary effort to hit ambitious growth targets.
- Excellent communication skills, particularly in English. You can influence peers, negotiate with external suppliers, and provide clarity to C-level stakeholders regarding project health and strategic pivots.
#LI-SC1
What it’s like to work at Eneba
*Opportunity to join our Employee Stock Options program.
*Opportunity to help scale a unique product.
*Various bonus systems: performance-based, referral, additional paid leave, personal learning budget.
*Paid volunteering opportunities.
*Work location of your choice: office, remote, opportunity to work and travel.
*Personal and professional growth at an exponential rate supported by well-defined feedback and promotion processes.
*Please attach CVS's in English.
*To find out about how we handle your personal data, make sure to check out our Candidate Privacy Notice https://www.eneba.com/candidate-privacy-notice
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