Location: San Francisco, CA
Workplace: OnSite
ABOUT US
At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale.
We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry.
More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale.
ABOUT THE ROLE
We're hiring an experienced Performance Marketer to own and scale paid search and emerging AI advertising channels at LangChain, starting with Google Ads, Bing (Microsoft Advertising), and ChatGPT.
You'll own the entire paid acquisition experience, from developing channel strategy and building campaigns to optimizing landing pages, improving conversion rates, and driving qualified pipeline.
This is a highly hands-on role. You'll be the person building campaigns, analyzing performance, testing creative, improving landing pages, and identifying new opportunities to scale.
We're looking for someone who combines deep paid search expertise with a willingness to experiment with emerging advertising platforms. You should be comfortable managing significant budgets, making data-driven investment decisions, and connecting advertising performance to downstream pipeline rather than just clicks, leads, or conversions.
WHAT YOU'LL OWN
PAID ACQUISITION STRATEGY AND PIPELINE
- Own the strategy across Google Ads, Bing, and ChatGPT advertising, with the opportunity to expand into additional AI-native advertising channels.
- Develop channel-specific strategies based on audience intent, available targeting capabilities, and expected pipeline contribution.
- Own budget allocation, forecasting, and performance against pipeline targets.
- Balance investment across branded, non-branded, competitor, and product-specific campaigns, along with emerging AI advertising opportunities.
- Identify opportunities to scale high-performing campaigns and build repeatable playbooks for new channels.
- Develop testing roadmaps across audiences, messaging, bidding, conversion experiences, and new advertising formats.
END-TO-END CAMPAIGN EXECUTION
You'll own campaign execution across all three channels:
- Google Ads: Build, launch, and manage campaigns across branded, non-branded, competitor, and product search, including keyword research, match types, negative keywords, bidding, and budget optimization.
- Bing / Microsoft Advertising: Develop and manage campaigns tailored to Microsoft's search audience, identifying opportunities to extend reach and capture incremental high-intent demand.
- ChatGPT advertising: Develop and execute an early advertising strategy, testing available placements, audience approaches, messaging, and conversion experiences as the platform evolves.
- Creative and messaging: Write and test ad copy in partnership with Product Marketing, adapting messaging to each channel and its user intent.
- Experimentation: Run structured tests to improve acquisition efficiency, traffic quality, and pipeline conversion.
- Campaign operations: Own campaign setup, tracking validation, launch readiness, troubleshooting, and day-to-day optimization.
PAID CONVERSION EXPERIENCE AND WEBSITE OPTIMIZATION
- Own the website conversion experience for traffic acquired through Google, Bing, and ChatGPT.
- Build and optimize dedicated landing pages for paid acquisition campaigns using Webflow or similar tools.
- Develop and execute A/B tests across landing page messaging, layouts, CTAs, and forms.
- Identify friction across the full user journey, from ad interaction to product sign-up, demo request, or meeting booking.
- Optimize conversion paths for both developers exploring LangSmith and enterprise buyers evaluating commercial solutions.
- Partner with Marketing Operations to improve form conversion, qualification, routing, and meeting booking.
- Ensure landing page experiences reflect the user's intent and context across different advertising channels.
MEASUREMENT, REPORTING, AND OPTIMIZATION
- Own performance reporting across spend, traffic, conversions, qualified leads, meetings, opportunities, and pipeline.
- Develop channel-specific measurement frameworks for Google Ads, Bing, and ChatGPT based on their available reporting and conversion capabilities.
- Partner with Marketing Operations to connect advertising conversion signals with HubSpot and Salesforce data.
- Optimize established search channels toward downstream pipeline signals, including offline conversion tracking where supported.
- Establish a testing and measurement approach for emerging channels where attribution and optimization capabilities may be less mature.
- Analyze performance across channels, audiences, campaigns, and landing pages to identify where to invest, optimize, or reduce spend.
CROSS-FUNCTIONAL PARTNERSHIP
- Partner with Product Marketing to translate positioning into search campaigns, AI advertising messaging, and landing page experiences.
- Work closely with Web and Design on landing page development and conversion experimentation.
- Collaborate with Marketing Operations on tracking, attribution, CRM integrations, and reporting accuracy.
- Align with Demand Generation on product launches, campaign priorities, budget allocation, and pipeline targets.
WHAT WE'RE LOOKING FOR
- 5–11 years in performance marketing, paid search, or B2B growth marketing, ideally in developer tools, infrastructure, or technical SaaS.
- Deep hands-on expertise in Google Ads and experience managing Microsoft Advertising.
- Proven experience personally building, launching, and optimizing paid search campaigns.
- Strong understanding of campaign architecture, keyword intent, bidding strategies, negative keywords, and search budget optimization.
- Experience testing new advertising platforms or emerging acquisition channels. Curiosity about AI-native search and advertising is important.
- Strong experience with conversion rate optimization, landing page development, and A/B testing.
- Experience managing meaningful budgets and optimizing toward qualified pipeline and revenue outcomes.
- Strong analytical skills and fluency in CPC, CVR, CPL, cost per opportunity, pipeline contribution, and attribution.
- Working knowledge of Google Ads, Microsoft Advertising, GA4, Google Tag Manager, HubSpot, Salesforce, and Flint/Webflow.
- Comfortable with technical products and developer audiences.
- A strong experimentation mindset and willingness to build new programs without an established playbook.
- Comfortable with ambiguity and true ownership.
COMPENSATION
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance.
Salary Range: $165,000-$190,000
COMPENSATION PHILOSOPHY:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: Remote, United Kingdom
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
Support Engineering at GitLab believes that healthy teams deliver a healthy customer experience, and that command during a crisis shouldn't fall to whoever happens to be senior and available. GitLab's global Incident & Escalation Management (IM/EM) function coordinates critical incidents, complex multi-team engagements, and executive-level escalations for enterprise customers. As Escalation Manager, you'll own complex, executive, and commercial escalations where customer trust and the relationship are at stake, alongside or independently of a technical issue.
In this functional role, you'll advocate for customers inside GitLab, coordinate teams toward resolution, and lead relationship repair after the event.
What you'll do
Own complex, executive, and commercial escalations end-to-end, as defined in GitLab's IM/EM engagement model.
Advocate for customers internally and coordinate Engineering, Support, Product, Customer Success, and Sales toward resolution, tracking commitments and holding owning teams accountable to agreed dates and deliverables.
Maintain a written, customer-facing resolution plan from engagement through confirmed resolution, updating it at each communication milestone.
Coordinate with Incident Managers during concurrent technical incidents to maintain a single, coherent narrative for the customer.
Own external escalation communications using GitLab's approved templates and cadence, and represent GitLab in high-stakes customer conversations where clarity and ownership influence retention.
Engage Sales, Customer Success, and executive stakeholders as needed, including executive-to-executive communication for Severity 1 and 2 events. Brief GitLab leadership with concise summaries that distinguish what's known, what's unknown, and next steps.
Lead post-escalation reviews and relationship repair plans, contribute corrective actions with named owners and due dates to postmortems, and hand the relationship back to the account's Customer Success Manager at resolution.
Partner with the Head of IM/EM to develop playbooks, communication templates, and process improvements based on patterns from escalations.
What you'll bring
Experience in enterprise technical support, customer success, or incident and escalation management at a business-to-business software-as-a-service or enterprise software company.
A track record of owning complex, multi-stakeholder escalations end-to-end, including executive customer engagements and structured resolution or account plans.
Executive-level written and verbal communication skills, with the ability to translate technical detail into plain-language updates for customers and GitLab leadership.
The ability to coordinate Engineering, Support, Product, Customer Success, and Sales under pressure without formal authority over those teams.
Calm, structured decision-making with incomplete information and the ability to provide a steadying presence in high-stress customer situations.
Proficiency with support and coordination tools such as Zendesk, Salesforce, Slack, and PagerDuty, or equivalent platforms.
Availability for on-call coverage supporting executive escalations as part of a globally distributed team.
Nice to have:
Information Technology Infrastructure Library (ITIL) Foundation or equivalent certification; customer-facing experience with GitLab, development, security, and operations (DevSecOps), continuous integration and continuous delivery (CI/CD), or cloud-native products; experience with formal escalation or incident command frameworks; or AI-assisted support tools for triage, sentiment analysis, or resolution drafting.
About the team
The Incident & Escalation Management function sits within Support Engineering in GitLab's Enterprise Technology & AI (ETA) division. We operate a follow-the-sun model anchored in the Americas, Europe, the Middle East and Africa, and Asia-Pacific, providing year-round, 24-hour coverage for enterprise customers. Our Escalation Managers work globally rather than within a single region, partnering with Incident Managers, Communications Leads, and regional Support Engineering leadership. You'll help shape our playbooks, templates, and standards as we scale.
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: Argentina (Remote); Mexico (Remote); São Paulo, Brazil
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the Opportunity
The Senior Product Marketing Manager for LATAM will play a critical role in shaping OKX’s go-to-market strategy, driving community-led expansion and ensuring our CeFi and Web3 product narratives resonate with users in these key regions.
This role requires a deep understanding of LATAM crypto landscapes, strong expertise in regional growth marketing, and the ability to work closely with local General Managers (GMs), product teams, and global marketing stakeholders. You will act as the voice of the customer in the region—both externally, to create awareness and adoption, and internally, to inform product and marketing strategies based on local market insights.
What You’ll Be Doing
Build and run GTM campaigns for CeFi and Web3 products across LATAM, ensuring launches are localized, compliant, and resonate with retail and institutional users.
Implement marketing activities that increase product visibility and user acquisition, including digital campaigns, partnerships, community activations, and content distribution.
Adapt global product narratives and positioning for LATAM, aligning with market behaviors, regulations, and cultural nuances.
Execute programs with key communities, KOLs, and influencers to amplify product storytelling and drive grassroots adoption.
Support regional presence through industry events, local meetups, and hackathons, ensuring OKX products are showcased effectively and generate measurable leads.
Partner closely with local GMs, BD, and global product teams to deliver consistent, high-impact marketing initiatives.
Collect and analyze user insights, competitor activities, and regional market trends to optimize campaigns and inform product teams.
Monitor campaign KPIs, adoption metrics, and feedback loops to ensure initiatives deliver against growth and awareness goals.
What We Look For In You
At least 7 years of product marketing experience
, with a significant portion in consumer tech, fintech, or the crypto industry. Direct trading experience in crypto markets is highly desirable.
Financial Markets Knowledge
: In-depth understanding of financial markets, trading principles, and investment strategies, including familiarity with various financial instruments such as stocks, bonds, cryptocurrencies, forex, commodities, and derivatives.
Digital Marketing Expertise
: Strong grasp of digital marketing, especially as it pertains to fintech and crypto, including conversion optimization, content marketing, and social media strategies.
Community Building & Engagement:
Extensive experience in building and scaling crypto-native communities, leveraging influencer networks, organizing events, and creating ambassador programs to drive organic product adoption.
Communication and Influence:
Outstanding communication skills, with the ability to influence strategy and articulate complex products to a diverse audience. Preferably trilingual in English, Spanish, and Portuguese
Market Analysis
: Demonstrated proficiency in conducting market research, competitive analysis, and trend forecasting in the digital asset space
Perks & Benefits
Competitive total compensation package
L&D programs for employees' growth and development
Various team building programs and company events
More that we love to tell you along the process!
#LI-SK1 #LI-HYBRID
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
• Develop and execute a strategic sales plan for the assigned territory. • Identify, qualify, and close new business opportunities within end user, integrator, installation companies.
Location: Austin, TX
Workplace: remote
Maps Quality Tester
Welocalize is seeking a Maps Quality Tester with a background in GIS or previous maps experience. In this exciting role, you will be working at a leading consumer technology company as a contributor to the finished products released in target markets across the globe.
The ideal candidate is a brilliant problem solver, quick study, self-starter, and excellent communicator with a passion for shipping quality products. The ability to think on your feet and to deliver results in a fast-paced environment is a must. If you’re an avid cyclist who tracks your performance across different routes, that is considered relevant experience and a strong plus!
Our testers will work closely with the development team to ensure the client organization ships the highest quality application. The candidate should possess the ability to quickly grasp and distill highly complex matters into clean, understandable reports. The candidate must also be an effective diplomat with strong communication and organizational skills, who is willing to prove him or herself within a company of talented individuals.
Project Details
Location: Austin (Texas)
Work Type: Remote
Shift Timings: 10:00 AM - 7:00 PM (CST)
Type: Full Time (12 months Contract with possible extension)
Pay Rate: $23/hour
REQUIREMENTS:
Proficient in using iOS and MacOS (desirable)
Working knowledge of maps and web-based mapping products
Good written and spoken English
Experience working with data and spreadsheets
Familiarity with using mobile devices for driving navigation e.g. Apple Maps, Google Maps
Creative thinker and able to understand the product from the user's perspective
Organised and self-sufficient, able to work remotely without direct supervision
Ability to explain technical details in clear and concise reports
Bachelor’s degree or higher preferred (Geography, Cartography, or related field preferred)
Austin-based (but you'll be working from home in Austin)
Job reference: #L1-CC1
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
Platform Intelligence turns each new Claude model's abilities into API features that developers can build on. Our goal is to make the full intelligence of each model available through the API. We own the capabilities that shape what Claude can do for developers: tool use, built-in tools such as web search and code execution, thinking controls, structured outputs, and the memory, files, and skills APIs.
We also run the API side of every Claude model launch, including its safety features and controls. That means getting the API ready for each new model, coordinating with research, safeguards, product, and cloud partners, and making sure the model, its features, the SDKs, and the docs all ship together on launch day.
The work sits where research meets product. We work with new models before they are public. When a model gains a new ability, we work out what it should look like as an API, build it, and ship it to developers on our own platform and on cloud platforms. Those decisions shape how developers first use each model. We also own API versioning and the evals that tell us a capability works in production.
What you'll do
You'll lead the design, build, and operation of API capabilities used by developers around the world. You'll work with research to understand what a new model can do and turn that into an interface that is simple, durable, and hard to misuse.
You'll lead the API side of new model launches. You'll plan the work, track readiness across teams, resolve the issues that come up late, and see the launch through on the day. Between launches, you'll make the next one faster and safer.
You'll set technical direction for work that spans several teams, write clear design proposals, review API designs from other teams, and mentor engineers on the team.
Representative projects
Lead API readiness for a Claude model launch, so that every feature works on day one across our API, SDKs, docs, and cloud partners
Take a new model ability from research prototype to public API feature, from interface design to production rollout
Build and operate tools such as web search and code execution under real traffic
Automate the manual parts of a model launch
Build the evals that catch a capability regression before a launch
You might be a good fit if you:
Have led technical projects that spanned several teams, from design through launch and operation
Have designed and operated production distributed systems where correctness, latency, and availability all matter
Have strong product sense and care about API design and developer experience
Make sound technical decisions with incomplete information, as models and priorities change close to a launch
Explain tradeoffs clearly to research, product, and go-to-market partners, including non-engineers
Make the engineers around you better through design review and mentoring
Use AI tools as a regular part of how you design, build, and review software
Care about the societal impacts of your work and Anthropic's mission to build safe, beneficial AI
Strong candidates may also have:
Building public APIs, SDKs, or developer platforms
Working with large language models, including tool use, agents, or evals
Running launches or migrations with fixed deadlines and many dependent teams
Building tools for agents, such as search or code execution
Storage, memory, or context systems at scale
Integrating with cloud platforms such as AWS, Google Cloud, and Azure
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
Location Preference:
Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team.
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:
$405,000
—
$485,000 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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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: Kuala Lumpur, Malaysia
Workplace: hybrid
TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization.
We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact?
Responsibilities
We are looking for an experienced, hands-on
Team Manager, Customer Support – APAC
to lead our regional Customer Support organization and contribute to our global support strategy.
You will drive customer experience, operational performance, people development and continuous improvement, while leading APAC’s contribution to our global follow-the-sun support model. This includes supporting the transition toward global queues, shared case ownership and seamless customer support across regions and time zones.
You will lead, coach and develop a diverse international team, building a high-performance culture focused on customer outcomes, accountability, collaboration and continuous development.
Lead and develop the APAC Customer Support team, creating a high-performing, engaged and customer-focused organization with a strong culture of accountability, collaboration and ownership.
Set clear expectations and actively manage individual and team performance against defined objectives and KPIs, supported by regular feedback, coaching, one-to-ones and development planning.
Identify and develop high-potential talent, strengthen succession planning and empower team members to make decisions, take ownership and continuously improve the customer experience.
Own the operational performance of APAC Customer Support, driving regional and global KPIs across responsiveness, resolution, service levels, quality, productivity and customer outcomes.
Use operational data and insights to identify performance gaps, address root causes, effectively align resources and capacity, and drive sustainable improvements.
Manage complex or high-impact customer escalations and identify recurring customer pain points, working cross-functionally to improve the broader customer experience.
Lead APAC as an integral part of the global follow-the-sun support model, helping transition from regional ticket queues to global queues, shared case ownership and effective handover practices across regions.
Partner closely with Support leaders in EMEA and the Americas to balance global workloads, capacity and skills, improve customer coverage and champion a global-first mindset.
Drive transformation and continuous improvement by simplifying, standardizing and automating support operations, while championing the adoption of new technologies, tools, self-service capabilities and AI-enabled ways of working.
Represent APAC within the Global Customer Support leadership team, partnering with Product, Engineering, Sales, Customer Success and regional Support leaders to establish consistent service standards, share best practices and provide clear insights on performance, customer trends, risks and opportunities.
Requirements
5+ years of leadership experience within Customer Support, Technical Support, Customer Experience or a related environment, ideally within SaaS or technology.
Demonstrated experience leading, coaching and developing high-performing customer-facing teams, with a strong focus on performance, accountability and continuous development.
Experience operating within, or transitioning toward, a follow-the-sun or global support model, including global queues, cross-regional case ownership, workload and capacity management.
Strong understanding of the APAC region, with experience working across different markets, cultures and time zones while building shared global accountability.
Proven ability to manage operational performance through KPIs, data, coaching and continuous improvement, translating operational insights into clear actions and business decisions.
Experience managing complex customer escalations and communicating effectively with senior internal and external stakeholders.
Strong understanding of modern Customer Support operations, including case management, self-service, automation and AI-enabled support, with the technical aptitude to quickly understand new products, systems and technologies.
Experience leading organizational or operational change, improving processes and challenging existing ways of working within a growing or transforming organization.
Excellent communication, collaboration and stakeholder management skills, with the confidence to make decisions, challenge the status quo and drive accountability.
Fluency in English is required, with Japanese, Korean, Thai or other APAC languages an advantage. A degree in Business, Information Technology, Computer Science, Economics or a related discipline is advantageous but not essential.
What we offer
Competitive salary and benefits package, including performance-based incentives.
Opportunity to play a key leadership role within a global Customer Support organization.
The opportunity to help shape and evolve our global follow-the-sun Support model.
International collaboration with Support, Product and other business teams.
Opportunities for international travel and collaboration with global teams.
Quarterly team events and company-wide celebrations.
An open and collaborative working culture.
Shared staff lunches and complimentary fruit, tea and coffee.
Opportunities to participate in company and customer events, including F1-related events.
Join a diverse APAC organization representing many nationalities and backgrounds.
Opportunities to actively contribute to our diversity and CARE initiatives.
TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race.
If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you.
Location: Mumbai, India; Noida, India
Workplace: hybrid
TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization.
We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact?
Responsibilities
We are looking for an experienced, hands-on
Team Manager, Customer Support – APAC
to lead our regional Customer Support organization and contribute to our global support strategy.
You will drive customer experience, operational performance, people development and continuous improvement, while leading APAC’s contribution to our global follow-the-sun support model. This includes supporting the transition toward global queues, shared case ownership and seamless customer support across regions and time zones.
You will lead, coach and develop a diverse international team, building a high-performance culture focused on customer outcomes, accountability, collaboration and continuous development.
Lead and develop the APAC Customer Support team, creating a high-performing, engaged and customer-focused organization with a strong culture of accountability, collaboration and ownership.
Set clear expectations and actively manage individual and team performance against defined objectives and KPIs, supported by regular feedback, coaching, one-to-ones and development planning.
Identify and develop high-potential talent, strengthen succession planning and empower team members to make decisions, take ownership and continuously improve the customer experience.
Own the operational performance of APAC Customer Support, driving regional and global KPIs across responsiveness, resolution, service levels, quality, productivity and customer outcomes.
Use operational data and insights to identify performance gaps, address root causes, effectively align resources and capacity, and drive sustainable improvements.
Manage complex or high-impact customer escalations and identify recurring customer pain points, working cross-functionally to improve the broader customer experience.
Lead APAC as an integral part of the global follow-the-sun support model, helping transition from regional ticket queues to global queues, shared case ownership and effective handover practices across regions.
Partner closely with Support leaders in EMEA and the Americas to balance global workloads, capacity and skills, improve customer coverage and champion a global-first mindset.
Drive transformation and continuous improvement by simplifying, standardizing and automating support operations, while championing the adoption of new technologies, tools, self-service capabilities and AI-enabled ways of working.
Represent APAC within the Global Customer Support leadership team, partnering with Product, Engineering, Sales, Customer Success and regional Support leaders to establish consistent service standards, share best practices and provide clear insights on performance, customer trends, risks and opportunities.
Requirements
5+ years of leadership experience within Customer Support, Technical Support, Customer Experience or a related environment, ideally within SaaS or technology.
Demonstrated experience leading, coaching and developing high-performing customer-facing teams, with a strong focus on performance, accountability and continuous development.
Experience operating within, or transitioning toward, a follow-the-sun or global support model, including global queues, cross-regional case ownership, workload and capacity management.
Strong understanding of the APAC region, with experience working across different markets, cultures and time zones while building shared global accountability.
Proven ability to manage operational performance through KPIs, data, coaching and continuous improvement, translating operational insights into clear actions and business decisions.
Experience managing complex customer escalations and communicating effectively with senior internal and external stakeholders.
Strong understanding of modern Customer Support operations, including case management, self-service, automation and AI-enabled support, with the technical aptitude to quickly understand new products, systems and technologies.
Experience leading organizational or operational change, improving processes and challenging existing ways of working within a growing or transforming organization.
Excellent communication, collaboration and stakeholder management skills, with the confidence to make decisions, challenge the status quo and drive accountability.
Fluency in English is required, with Japanese, Korean, Thai or other APAC languages an advantage. A degree in Business, Information Technology, Computer Science, Economics or a related discipline is advantageous but not essential.
What we offer
Office Location: Mumbai or Noida.
Competitive salary and benefits package, including performance-based incentives.
Opportunity to play a key leadership role within a global Customer Support organization.
The opportunity to help shape and evolve our global follow-the-sun Support model.
International collaboration with Support, Product and other business teams.
Opportunities for international travel and collaboration with global teams.
Quarterly team events and company-wide celebrations.
An open and collaborative working culture.
Shared staff lunches and complimentary fruit, tea and coffee.
Opportunities to participate in company and customer events, including F1-related events.
Join a diverse APAC organization representing many nationalities and backgrounds.
Opportunities to actively contribute to our diversity and CARE initiatives.
TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race.
Location: Chicago, IL or Remote
CCC Intelligent Solutions Inc. (CCC) is a leading cloud platform for the
multi-trillion-dollar
insurance economy
,
creating intelligent experiences for insurers, repairers, automakers, part suppliers, and more. At CCC, we’re making life just work by empowering more than 35,000 businesses with industry-leading technology to get drivers back on the road and to health quickly and
seamlessly. We’re
pushing boundaries with innovative AI solutions that simplify and enhance the claims and repair
journey. Through
purposeful innovation and the strength of its connections, CCC technologies empower the people and industry relied upon to keep lives moving forward when it matters most. Learn more about CCC at
www.cccis.com
.
The Role
As a Senior AI Engineer, you'll own agents end to end within a problem area, from the first prototype to measured performance in production. You'll join a new engineering group at CCC building AI-native products for our auto casualty business, the injury side of auto claims. The group is small and senior, and it's growing fast. Our teams work on:
Medical bills: AI products that help claims teams handle the medical bills on injury claims accurately and efficiently.
Claims decision support: products that help claims professionals make better, faster decisions on injury claims.
Agentic Rules Platform: the rules engine and agentic tooling behind decisions across our casualty products, plus the evaluation infrastructure every team relies on.
You'll build the AI agents behind our products. They work with complex documents and claim data, call tools, and support claims experts in their daily work. You'll own the orchestration, retrieval, evaluations, and guardrails that make them safe to rely on, and you'll write the production code to ship them.
Salary range is:
$180,000 - 225,000
This position is bonus eligible.
Key Responsibilities:
Design and build LLM-powered agents and workflows: orchestration, tool use, retrieval, structured extraction, and human-in-the-loop review
Build evaluations with data labelers and subject matter experts, and run them on every change
Make agents production-grade: guardrails, observability, cost and latency, and careful handling of sensitive health data
What success looks like:
In your first month, you've shipped a measured improvement to an existing agent.
By six months, an agent you built is in production with customers, backed by evaluation results.
Requirements:
Typically 5+ years of professional software or ML engineering experience, including meaningful recent work with LLMs
Strong production engineering skills in Python, including API services, and comfort working in TypeScript
At least a year of shipping LLM-powered products to real users, including retrieval (RAG, embeddings, vector search) and prompt engineering
Experience designing evaluations for non-deterministic systems, and the habit of measuring before and after every change
A quantitative mindset: you're comfortable with metrics, sampling, error analysis, and knowing when a result is real
Real experience shipping faster with AI-assisted or agentic engineering tools, with examples you can walk us through
Nice to have:
Document understanding, OCR, or extraction from complex documents
Experience fine-tuning LLMs or working with multimodal data
Interview Policy & Privacy Notice:
A video interview is required for this position. Video interviews are transcribed. Transcriptions are retained and may be reviewed by CCC and our recruiters. Candidates are not permitted to use generative AI or automated assistance during the interviews unless explicitly allowed by the interview team for a specific exercise. Our Job Applicant Privacy Notice is available
HERE
.
About CCC's Commitment to Employees:
CCC Intelligent Solutions understands that our employees play an integral role in our vision to shape a world where life just works. Our team is defined by our values of Integrity, Customer-Focus, Innovation, Inclusion & Diversity, Tenacity, and Connection. Through diverse perspectives, purposeful innovation, and the strength of connections, our technologies empower the people and industry relied upon to keep lives moving forward when it matters most.
At CCC, together everyone can thrive as we innovate and collaborate, creating employee experiences that just work. We are committed to providing opportunities for our people to make real-life impacts, advance in their careers, and contribute to CCC’s success.
CCC offers competitive compensation and benefits to support you and your families, including:
401K Match
Paid time off
Annual Incentive Plan Performance Bonus
Comprehensive health insurance
Adoption Assistance
Tuition Reimbursement
Wellness Programs
Stock Purchase Plan options
Employee Resource Groups
For more information about our benefits, please check out our
careers site
.
Here, you belong. You are seen, valued, and respected. We celebrate you for who you are and all you bring. Every voice is heard and is important to our success. You can hear what employees have to say about our culture
here
Location: Adelaide, Australia
Workplace: hybrid
TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization.
We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact?
Responsibilities
We are looking for an experienced, hands-on
Team Manager, Customer Support – APAC
to lead our regional Customer Support organization and contribute to our global support strategy.
You will drive customer experience, operational performance, people development and continuous improvement, while leading APAC’s contribution to our global follow-the-sun support model. This includes supporting the transition toward global queues, shared case ownership and seamless customer support across regions and time zones.
You will lead, coach and develop a diverse international team, building a high-performance culture focused on customer outcomes, accountability, collaboration and continuous development.
Lead and develop the APAC Customer Support team, creating a high-performing, engaged and customer-focused organization with a strong culture of accountability, collaboration and ownership.
Set clear expectations and actively manage individual and team performance against defined objectives and KPIs, supported by regular feedback, coaching, one-to-ones and development planning.
Identify and develop high-potential talent, strengthen succession planning and empower team members to make decisions, take ownership and continuously improve the customer experience.
Own the operational performance of APAC Customer Support, driving regional and global KPIs across responsiveness, resolution, service levels, quality, productivity and customer outcomes.
Use operational data and insights to identify performance gaps, address root causes, effectively align resources and capacity, and drive sustainable improvements.
Manage complex or high-impact customer escalations and identify recurring customer pain points, working cross-functionally to improve the broader customer experience.
Lead APAC as an integral part of the global follow-the-sun support model, helping transition from regional ticket queues to global queues, shared case ownership and effective handover practices across regions.
Partner closely with Support leaders in EMEA and the Americas to balance global workloads, capacity and skills, improve customer coverage and champion a global-first mindset.
Drive transformation and continuous improvement by simplifying, standardizing and automating support operations, while championing the adoption of new technologies, tools, self-service capabilities and AI-enabled ways of working.
Represent APAC within the Global Customer Support leadership team, partnering with Product, Engineering, Sales, Customer Success and regional Support leaders to establish consistent service standards, share best practices and provide clear insights on performance, customer trends, risks and opportunities.
Requirements
5+ years of leadership experience within Customer Support, Technical Support, Customer Experience or a related environment, ideally within SaaS or technology.
Demonstrated experience leading, coaching and developing high-performing customer-facing teams, with a strong focus on performance, accountability and continuous development.
Experience operating within, or transitioning toward, a follow-the-sun or global support model, including global queues, cross-regional case ownership, workload and capacity management.
Strong understanding of the APAC region, with experience working across different markets, cultures and time zones while building shared global accountability.
Proven ability to manage operational performance through KPIs, data, coaching and continuous improvement, translating operational insights into clear actions and business decisions.
Experience managing complex customer escalations and communicating effectively with senior internal and external stakeholders.
Strong understanding of modern Customer Support operations, including case management, self-service, automation and AI-enabled support, with the technical aptitude to quickly understand new products, systems and technologies.
Experience leading organizational or operational change, improving processes and challenging existing ways of working within a growing or transforming organization.
Excellent communication, collaboration and stakeholder management skills, with the confidence to make decisions, challenge the status quo and drive accountability.
Fluency in English is required, with Japanese, Korean, Thai or other APAC languages an advantage. A degree in Business, Information Technology, Computer Science, Economics or a related discipline is advantageous but not essential.
What we offer
Based in our Adelaide, Australia office.
Competitive salary and benefits package, including performance-based incentives.
Opportunity to play a key leadership role within a global Customer Support organization.
The opportunity to help shape and evolve our global follow-the-sun Support model.
International collaboration with Support, Product and other business teams.
Opportunities for international travel and collaboration with global teams.
Quarterly team events and company-wide celebrations.
An open and collaborative working culture.
Shared staff lunches and complimentary fruit, tea and coffee.
Opportunities to participate in company and customer events, including F1-related events.
Join a diverse APAC organization representing many nationalities and backgrounds.
Opportunities to actively contribute to our diversity and CARE initiatives.
TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race.
If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you.
Location: San Francisco; New York City
In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people and teams adopt Perplexity and Computer on their own, and the Growth team owns the loops that turn that adoption into lasting usage and revenue.
We're hiring a Growth GTM Engineer to build the systems that turn product usage into revenue and turn self-serve usage into enterprise pipeline. You'll turn first-party Computer and Enterprise usage into account-level signals. You'll ship the in-product paths that capture sales intent, and build and validate those signals with data science. Alongside product engineers, you ship production code, instrument the product and run experiments. You'll partner closely with Revenue Operations, who own Salesforce, CPQ, routing and sales reporting.
Tech Stack: TypeScript | Next.js | React | Python | PostgreSQL | Snowflake | Eppo | AWS
WHY PERPLEXITY IS DIFFERENT
- Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious.
- Ownership. You identify the problem, design the solution and ship it.
- Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users.
- Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products.
- Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence.
WHAT YOU'LL DO
- Build account-level PLG signals: map users and workspaces to accounts, and define the activation, expansion and intent signals that predict an enterprise deal. Publish them as trusted models that sales use for scoring and routing.
- Own the in-product paths from self-serve to sales, like contact-sales entry points, high-intent upsells and meeting booking, across web and app. Decide who sees them, when and with what context, and measure them end to end, from surface to booked meeting to pipeline.
- Lead experiments end to end on sales-assist surfaces and targeting, from hypothesis and instrumentation through analysis and rollout. Partner with Data Science to measure meetings and qualified opportunities, not just clicks.
- Build the internal tools and automation Growth and GTM teams run on
- Partner closely with Sales, Sales Systems, Data Science, Marketing and Product to turn product signals into pipeline. Be upstream partner to sales systems that own Salesforce, CPQ and routing
QUALIFICATIONS
- 2+ years as a growth, GTM, data or full-stack engineer, shipping production code (TypeScript/React, Python).
- Strong SQL and comfort building data models in a warehouse (Snowflake, dbt-style).
- Experience instrumenting product events and running A/B experiments end to end.
- Commercial instinct: you start from a revenue problem ("trial-to-enterprise conversion won't move") and work back to the signal or surface that fixes it.
- Comfort with REST APIs, webhooks and integrating third-party GTM tools.
- Operator mindset: you talk to customers directly, ship fixes, and don't need a PM to translate requests.
NICE TO HAVE
- Experience in a PLG-to-enterprise motion: product-qualified leads, scoring users into accounts, sales-assist flows.
- Experience as a GTM or growth engineer at a B2B SaaS or GTM-tooling company.
- Entity resolution, dedup or domain enrichment.
- Familiarity with Salesforce, Default, Chili Piper, Intercom, Clay, Hightouch/Polytomic or similar (as a consumer and integrator, not an admin).
- Experience building LLM-powered internal tools or agents.
Location: San Francisco; New York City
In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people and teams adopt Perplexity and Computer on their own, and the Growth team owns the loops that turn that adoption into lasting usage and revenue.
We're hiring a Growth GTM Engineer to build the systems that turn product usage into revenue and turn self-serve usage into enterprise pipeline. You'll turn first-party Computer and Enterprise usage into account-level signals. You'll ship the in-product paths that capture sales intent, and build and validate those signals with data science. Alongside product engineers, you ship production code, instrument the product and run experiments. You'll partner closely with Revenue Operations, who own Salesforce, CPQ, routing and sales reporting.
Tech Stack: TypeScript | Next.js | React | Python | PostgreSQL | Snowflake | Eppo | AWS
WHY PERPLEXITY IS DIFFERENT
- Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious.
- Ownership. You identify the problem, design the solution and ship it.
- Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users.
- Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products.
- Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence.
WHAT YOU'LL DO
- Build account-level PLG signals: map users and workspaces to accounts, and define the activation, expansion and intent signals that predict an enterprise deal. Publish them as trusted models that sales use for scoring and routing.
- Own the in-product paths from self-serve to sales, like contact-sales entry points, high-intent upsells and meeting booking, across web and app. Decide who sees them, when and with what context, and measure them end to end, from surface to booked meeting to pipeline.
- Lead experiments end to end on sales-assist surfaces and targeting, from hypothesis and instrumentation through analysis and rollout. Partner with Data Science to measure meetings and qualified opportunities, not just clicks.
- Build the internal tools and automation Growth and GTM teams run on
- Partner closely with Sales, Sales Systems, Data Science, Marketing and Product to turn product signals into pipeline. Be upstream partner to sales systems that own Salesforce, CPQ and routing
QUALIFICATIONS
- 2+ years as a growth, GTM, data or full-stack engineer, shipping production code (TypeScript/React, Python).
- Strong SQL and comfort building data models in a warehouse (Snowflake, dbt-style).
- Experience instrumenting product events and running A/B experiments end to end.
- Commercial instinct: you start from a revenue problem ("trial-to-enterprise conversion won't move") and work back to the signal or surface that fixes it.
- Comfort with REST APIs, webhooks and integrating third-party GTM tools.
- Operator mindset: you talk to customers directly, ship fixes, and don't need a PM to translate requests.
NICE TO HAVE
- Experience in a PLG-to-enterprise motion: product-qualified leads, scoring users into accounts, sales-assist flows.
- Experience as a GTM or growth engineer at a B2B SaaS or GTM-tooling company.
- Entity resolution, dedup or domain enrichment.
- Familiarity with Salesforce, Default, Chili Piper, Intercom, Clay, Hightouch/Polytomic or similar (as a consumer and integrator, not an admin).
- Experience building LLM-powered internal tools or agents.
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
The Claude Partner Network is how consulting firms, systems integrators, and other services partners build practices around Claude. When a company chooses a partner, it wants to know which firms have done this work well, in its industry and for its use case. Specializations are how the program will give it: credentials showing that a partner has demonstrated expertise in a given domain area.
As Partner Specializations Lead, you'll own this program end to end: the requirements a firm has to meet, the evidence review that decides who qualifies, the benefits that make a specialization worth earning, and the operating rhythm that keeps it credible year after year. Your job is to take an early framework into a structure that scales: opening it to thousands of partners, running evaluation cycles, and launching new specializations with cross-functional input.
This role suits someone who likes owning a standard. You'll work with partner managers, operations, enablement, marketing, and industry teams who each hold a piece of the program, and with senior leaders at partner firms who care a great deal about the outcome. A specialization only means something if it's earned, so you'll need to be rigorous with evidence, consistent in your decisions, and firm and clear when the answer is no.
Key responsibilities
Own each specialization's requirements, evidence standards, and benefits, and keep them current as our products and the partner network change
Run each evaluation cycle from invitation to decision: collect partner evidence, reconcile it against internal data, lead the review, and document every decision
Make and defend qualification decisions, including borderline cases, and apply the standard consistently across firms of very different sizes
Communicate outcomes to partner executives and their Anthropic account teams, including clear guidance for firms that did not qualify
Open the program to the wider partner network, and recommend which specializations come next based on customer demand, partner readiness, and Anthropic's priorities
Define the evidence standard for new specializations with Applied AI, Product, and industry go-to-market teams
Coordinate the teams that deliver the program's benefits (marketing, the partner directory, field enablement, technical support) so that earning a specialization leads to something real
Work with Partner Enablement so that partner learning paths and certifications support each specialization
Build the operating rhythm: renewal, remediation periods, an appeals path, and the tracking and reporting that show whether the program is working
Design the review process to scale, using Claude and automation so that routine steps don't depend on a person
Write and maintain partner-facing guidance (program guide sections, FAQs, application materials), clear enough for a partner to know where it stands without asking us, and internal guidance for field teams
Use program data to recommend where each requirement's bar should sit and when it should move, and bring those recommendations to partner leadership
Minimum qualifications
Experience owning an external-facing program with published requirements (a partner, channel, certification, accreditation, or similar program), including running at least one full evaluation, qualification, or renewal cycle
Experience making qualification or eligibility decisions against a written standard and communicating those decisions, including declines, to senior external stakeholders
Experience working with CRM or PRM data, such as Salesforce reports or a partner portal, as a regular part of your job
Strong writing: able to produce clear program requirements, decision memos, and partner-facing guidance that need little editing
Experience leading work to a fixed date across several teams you do not manage, such as operations, marketing, enablement, and field teams
Work effectively where the process is still being built and the details are still changing
Are excited about Anthropic's mission to develop AI that is safe and beneficial
Preferred qualifications
Experience designing or running a partner competency, specialization, or credential program at a technology company
Experience with services partners (systems integrators, consultancies) from either side: managing them at a vendor, or building a practice around a vendor's technology at a firm, and an understanding of how those firms decide where to invest their people
SQL or BI-tool skills sufficient to pull and check your own program data
Experience taking a program from its first launch to a repeatable operating cycle
Experience launching a program publicly with marketing and communications partners
Enough technical depth to judge whether a partner's evidence of a software or AI deployment holds up
Experience working with customers in regulated or specialized industries, such as financial services, healthcare, or the public sector
Experience designing partner benefits or incentives, and an understanding of how they change partner behavior
Hands-on experience building AI workflows with Claude or similar tools, and curiosity about how AI changes professional services delivery
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:
$300,000
—
$365,000 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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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 Jose, California, United States
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the Opportunity
We are seeking a Model Risk Director focused on Fraud and AI to join OKX’s Model Risk Management (MRM) function. As a senior member of the second line of defense (2LOD), this leader will provide independent oversight and effective challenge of fraud models used to detect, prevent, and manage fraud risk across OKX’s products and customer journeys.
The role will lead end-to-end validation of fraud models, from conceptual soundness, data and implementation review to outcomes analysis, performance monitoring, and remediation follow-up. The portfolio may include supervised machine learning models, anomaly detection, graph and network analytics, rules-based or hybrid systems, and AI-enabled fraud applications.
The ideal candidate brings deep hands-on experience in fraud model validation, strong quantitative judgment, and practical experience assessing AI/ML models. This person will partner closely with Fraud, Risk, Product, Data Science, Engineering, Compliance, and Audit teams while maintaining the independence of the MRM function.
This is a hands-on, builder role: the successful candidate will independently establish the fraud model validation capability from the ground up, personally execute validations, and play a leading role in assessing AI-enabled systems.
What You’ll Be Doing
Establish and own the independent validation framework for fraud models and AI-enabled decision systems across OKX products, covering conceptual soundness, data quality, implementation, and outcomes analysis, in line with SR 26-2 and equivalent model risk frameworks.
Assess model conceptual soundness, intended use, assumptions, and limitations.
Personally execute end-to-end model validations as the technical expert, including independently reproducing results through hands-on data analysis and code review.
Assess AI/ML and generative AI applications, including LLM-based and agentic systems, for robustness, reliability, explainability, and appropriate human oversight, applying strong applied AI evaluation expertise.
Perform ongoing monitoring review and periodic revalidation to ensure sustained model performance through changing fraud patterns and business conditions.
Provide effective challenge to model owners; communicate conclusions, limitations, and risk ratings clearly to senior management and governance forums, and track remediation through closure.
Build and continuously mature the fraud model validation capability, standards, and workflows within MRM.
What We Look For In You
Master’s or Ph.D. in a quantitative field such as Statistics, Mathematics, Computer Science, or a related discipline, or equivalent experience.
10+ years of quantitative, fraud risk, or model risk experience, with a recognized track record as a hands-on technical expert who personally delivers independent validations of models and decision systems.
Excellent communication and judgment, including the ability to explain quantitative findings to senior audiences and constructively challenge model owners.
Practical experience with statistical and machine learning methods; proficiency in Python and SQL; working knowledge of SR 11-7 or equivalent model risk and AI governance frameworks.
Experience with AI/ML governance and controls, including explainability, fairness, robustness, ongoing monitoring, or generative and agentic AI applications in fraud operations.
Nice to Haves
Experience establishing validation frameworks, methodologies, or capabilities in settings where they did not previously exist.
Strong applied AI capability: hands-on experience evaluating or building ML/LLM-based systems in production, including prompt engineering, evaluation harnesses, fine-tuning assessment, or agentic AI workflows; able to run red-team style testing on AI applications.
Perks &
Benefits
Competitive total compensation package
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
OKX Statement:
OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
The salary range for this position is $200,000 - $300,000
The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site.
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: New York, United States
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the Opportunity
We are seeking a Model Risk Director focused on Fraud and AI to join OKX’s Model Risk Management (MRM) function. As a senior member of the second line of defense (2LOD), this leader will provide independent oversight and effective challenge of fraud models used to detect, prevent, and manage fraud risk across OKX’s products and customer journeys.
The role will lead end-to-end validation of fraud models, from conceptual soundness, data and implementation review to outcomes analysis, performance monitoring, and remediation follow-up. The portfolio may include supervised machine learning models, anomaly detection, graph and network analytics, rules-based or hybrid systems, and AI-enabled fraud applications.
The ideal candidate brings deep hands-on experience in fraud model validation, strong quantitative judgment, and practical experience assessing AI/ML models. This person will partner closely with Fraud, Risk, Product, Data Science, Engineering, Compliance, and Audit teams while maintaining the independence of the MRM function.
This is a hands-on, builder role: the successful candidate will independently establish the fraud model validation capability from the ground up, personally execute validations, and play a leading role in assessing AI-enabled systems.
What You’ll Be Doing
Establish and own the independent validation framework for fraud models and AI-enabled decision systems across OKX products, covering conceptual soundness, data quality, implementation, and outcomes analysis, in line with SR 26-2 and equivalent model risk frameworks.
Assess model conceptual soundness, intended use, assumptions, and limitations.
Personally execute end-to-end model validations as the technical expert, including independently reproducing results through hands-on data analysis and code review.
Assess AI/ML and generative AI applications, including LLM-based and agentic systems, for robustness, reliability, explainability, and appropriate human oversight, applying strong applied AI evaluation expertise.
Perform ongoing monitoring review and periodic revalidation to ensure sustained model performance through changing fraud patterns and business conditions.
Provide effective challenge to model owners; communicate conclusions, limitations, and risk ratings clearly to senior management and governance forums, and track remediation through closure.
Build and continuously mature the fraud model validation capability, standards, and workflows within MRM.
What We Look For In You
Master’s or Ph.D. in a quantitative field such as Statistics, Mathematics, Computer Science, or a related discipline, or equivalent experience.
10+ years of quantitative, fraud risk, or model risk experience, with a recognized track record as a hands-on technical expert who personally delivers independent validations of models and decision systems.
Excellent communication and judgment, including the ability to explain quantitative findings to senior audiences and constructively challenge model owners.
Practical experience with statistical and machine learning methods; proficiency in Python and SQL; working knowledge of SR 11-7 or equivalent model risk and AI governance frameworks.
Experience with AI/ML governance and controls, including explainability, fairness, robustness, ongoing monitoring, or generative and agentic AI applications in fraud operations.
Nice to Haves
Experience establishing validation frameworks, methodologies, or capabilities in settings where they did not previously exist.
Strong applied AI capability: hands-on experience evaluating or building ML/LLM-based systems in production, including prompt engineering, evaluation harnesses, fine-tuning assessment, or agentic AI workflows; able to run red-team style testing on AI applications.
Perks &
Benefits
Competitive total compensation package
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
OKX Statement:
OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
The salary range for this position is $200,000 - $300,000
The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site.
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Remote: United States; San Francisco HQ; SF or Remote (US/Canada); Remote: Canada
Workplace: Remote
At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure.
Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users.
Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development.
We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you.
APPLYING TO RENDER
We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team.
We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed.
Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time.
ABOUT THE ROLE
Most infrastructure engineers never get to build a cloud from the metal up. At Render, you will. Developers and businesses around the world run their apps on Render, and we are building our own bare metal footprint to give them better performance and economics. You'll help take our first colocation site from an empty cage to production workloads, then scale that foundation as we expand our physical presence to thousands of hosts over the coming years.
You'll join a small, experienced team with real ownership. You'll partner closely with network engineering and our Kubernetes platform team, and the decisions you make now will become the template for every site that follows.
WHAT YOU'LL DO
- Take our first colocation site from empty cage to production workloads, then scale what you build as we grow to more sites and thousands of hosts
- Design how servers go from the loading dock to production with minimal human touch: netboot, imaging, BMC-driven discovery, and host identity
- Partner with network engineering on what the fleet needs from the network, from out-of-band management to production connectivity
- Build the interface our Kubernetes platform team uses to request capacity, see host health, and coordinate maintenance, so consuming bare metal feels as easy as consuming cloud
- Own the fleet's source of truth for hardware, software, and the physical environment
- Automate the full server lifecycle, from burn-in and acceptance testing through remediation, staged firmware rollout, and RMA
- Build automation like a production system, with guardrails on destructive actions and designs that survive site-level failure
- Shape the technical and operational direction of our bare metal platform, from build-vs-buy decisions to how we operate thousands of hosts, and help hire the team that runs it
WHAT WE'RE LOOKING FOR
- Hands-on experience building and operating automation for bare metal fleets in datacenters or colocation
- Both sides of the work: time with physical hardware and colo providers, and modern, software-driven fleet management
- Strong Go or Python, and experience designing systems with reconciliation loops and idempotent, failure-tolerant actions
- Depth below the abstraction: you know what your tools are doing under the hood and can debug them when they fail
- Experience operating through real failures, such as bad hardware batches, flapping BMCs, or a rollout you had to halt
- Deep Linux knowledge and solid networking fundamentals (DHCP, PXE, DNS, BGP)
- Working knowledge of Kubernetes, enough to design the interface between the fleet and the clusters that run on it
- Clear communication, comfort with ambiguity, and the willingness to push back on a plan when something doesn't add up
NICE-TO-HAVES
- Operating bare metal fleets at a scale of thousands of hosts
- Experience on a bare metal or datacenter build-out from its early days
- Running a hybrid environment, or moving workloads between public cloud and owned hardware
- DCIM/IPAM tools such as NetBox or Nautobot, or provisioning stacks such as Ironic/Metal3, Tinkerbell, or MAAS
- Building reconcilers or state machines for physical infrastructure
- Hardware depth: component diagnostics, burn-in tooling, firmware, or Redfish and IPMI at fleet scale
- Building internal platforms or APIs used by other infrastructure teams
- Based near our colocation sites, or able to visit them regularly
If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need.
BENEFITS
- 4 weeks of paid vacation.
- 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return.
- Long-term disability, life insurance, and 401K plans.
- 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well.
- Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc.
- Monthly cell phone and internet subsidy.
- Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders.
- Continuous learning benefits & related support.
This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization.
Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
We encourage all who are interested to apply. We can't wait to hear from you!
Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view
Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view
Location: New York, NY, USA
About the Role
We're hiring a Sr. Growth Marketing Manager to own and drive measurable growth outcomes across
Chime Enterprise's B2B2C funnel
— the path that turns eligible employees at our employer partners into enrolled, funded, and engaged Chime members.
Chime Enterprise is Chime's B2B business, with a vision to be the premier HR benefits platform dedicated to holistic financial wellness. Our flagship product, Chime Workplace, gives employers an all-in-one financial wellness suite at no cost — spanning capital management (including MyPay at Work), capital growth, credit building, and rewards and loyalty (Salt). Sales and Customer Success win and onboard employer partners; once a partner is live, we gain access to their workforce — their
eligible employees
. Converting those eligible employees into Chime members is the challenge this role owns, and mastering it unlocks one of the most powerful and defensible distribution channels at Chime.
This role is embedded directly within the cross-functional Chime Enterprise growth effort and operates as the growth owner, not just a marketing advisor. You'll sit at the intersection of growth strategy, experimentation, performance analysis, and product marketing craft: identifying opportunities, prioritizing and running experiments, and driving metric movement against clear goals. While the role retains core product marketing strengths — research, positioning, and messaging — it goes further by owning results and tradeoffs.
In this role, you can expect to
Growth Ownership & Strategy
Own end-to-end growth strategy and outcomes for Chime Enterprise's employee-side funnel, from opportunity sizing through roadmap delivery against quarterly and annual goals.
Serve as the embedded growth lead for Enterprise, co-owning planning with Enterprise Product, Engineering, and Analytics and with Growth Marketing's channel teams.
Build a repeatable model for converting eligible employees into members that scales across partners rather than being rebuilt deal by deal.
Funnel & Experimentation
Drive performance across the B2B2C funnel — worksite awareness, enrollment, funding, direct deposit, and early retention — with deep ownership of employer landing pages, eligibility flows, and in-product onboarding.
Own the Enterprise experimentation roadmap, designing reads that hold up at partner-sized cohorts and deciding what to scale, iterate, or sunset.
Lead creative and messaging execution for experiments and launches across paid, lifecycle, and owned surfaces.
Offers & Qualified Acquisition
Own incentives, promotions, and offers that drive qualified acquisition of primary banking relationships — balancing cost per enrollment, activation quality, and long-term value, within partner agreement and compliance guardrails.
Partner with Lifecycle to connect enrollment, onboarding, and retention into one journey.
GTM & Measurement
Lead GTM for employer launches, building the playbooks, campaign kits, and reporting that Sales, Customer Success, and GTM/Ops reuse at every go-live.
Track pacing against goals and translate results into clear briefs and recommendations for Enterprise and Growth Marketing leadership.
To thrive in this role, you have
8+ years of experience in growth marketing, product marketing, performance marketing, or a related role (level dependent).
Proven experience driving measurable growth through experimentation and optimization, including owning a funnel metric end to end.
Experience marketing to end users through a partner, employer, or channel relationship — B2B2C, workplace or benefits marketing, marketplace, or embedded distribution — and comfort operating when you don't fully control the audience or the channel.
Strong analytical skills; ability to define success metrics, track performance, extract insights, and reason clearly about statistical confidence when sample sizes are constrained.
Experience partnering closely with Product, Engineering, and Analytics teams, plus commercial partners like Sales and Customer Success.
Strong storytelling and communication skills — able to translate insights into action, and to speak credibly to both internal stakeholders and external HR partners.
Strong executive communications and the ability to influence and instill confidence.
Nice to have: HR tech, benefits, payroll, or earned wage access experience; familiarity with tools like Looker, Braze or Customer.io, and web experimentation platforms; comfort operating in a regulated environment.
#LI-Onsite #LI-AM1
Below is the base salary offered for this role and level of experience. Full-time employees may also be eligible for bonus(es), competitive equity, and benefits. For commissioned roles, the base salary listed in this job description does not include incentive/variable pay. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.
Wage Notice
$150,000
—
$208,000 USD
A little about us
At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential.
We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members.
We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress.
We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential.
Because if we don't—who will?
*Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC.
What we offer for our full-time, regular employees
🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location.
💻 Benefits that support your work and life, including backup child, elder, and pet care and subsidized commuter benefits for eligible employees.
✨ Comprehensive health, financial, and wellbeing benefits designed to support you at every stage of life.
🏝 Generous vacation policy and company-wide paid days off
🫂 1% of your time off to support local community organizations of your choice
👟 Annual wellness stipend to use towards eligible wellness related expenses
👶 Up to 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents
👪 Access to family planning reimbursement
💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress
We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals.
Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact:
accommodations@chime.com
.
To learn more about how Chime collects and uses your personal information during the application process, please see the
Chime Applicant Privacy Notice
.
Location: Singapore
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 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
As the founding leader of Applied AI Solutions Architecture in Singapore, you will drive the adoption of frontier AI by enabling the deployment of Anthropic's products (Claude for Enterprise, Claude Code, and API) across ASEAN enterprises and digital-first organizations. You'll leverage your technical skills and consultative sales experience to drive positive AI transformation that addresses our customers' business needs, meets their technical requirements, and provides a high degree of reliability and safety.
You'll be responsible for building and leading the ASEAN Applied AI team from the ground up. Applied AI comprises Solutions Architects, Product Engineers, and Finetuning Engineers. You will establish processes and best practices for the region's technical pre-sales engagements based on your years of experience, help each team member achieve success, high productivity, and career growth, and represent Anthropic as a technical lead on some of its most important partnerships across ASEAN.
In collaboration with the Sales, Product, and Engineering teams globally and locally, you'll help enterprise partners across ASEAN incorporate leading-edge AI systems into their cutting-edge products and platforms. You will employ your excellent communication skills to explain and demonstrate complex solutions persuasively to technical and non-technical audiences alike. You will play a critical role in identifying opportunities to innovate and differentiate our AI systems, while maintaining our best-in-class safety standards.
Responsibilities
Build and manage the foundational team of Applied AI professionals in ASEAN regions (Solutions Architects and Product Engineers) providing both technical guidance and career development
Set goals and reviews for your team, promoting growth and output
Work with a handful of highest-value enterprise customers across ASEAN on their overall AI adoption strategies, focusing on pre-sales technical excellence including use case scoping, technical champion building, and POC execution
Partner closely with your aligned GTM leadership to understand customer requirements & co-build GTM strategies to drive adoption for ASEAN enterprise customers
Contribute to thought leadership through conference presentations, webinars, and technical content creation within the ASEAN market
Own the technical portions of pre-sales engagements, ensuring your team provides compelling demos and validates enterprise customer ROI from Anthropic products
Drive collaboration from cross-functional teams to influence and unify stakeholders at all levels of the organization to drive business outcomes
Travel regularly to customer sites across ASEAN for executive-level sessions, technical workshops, and building relationships
Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products
Lead the vision, strategy, and execution of innovative solutions that leverage our latest models' capabilities
Stay current with emerging AI/ML trends and competitive landscape in the ASEAN enterprise tech sector, including the region's highly regulated industries (financial services, government, resources)
You may be a good fit if you have
15+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role
5+ years of technical go-to-market management experience, specifically managing pre-sales teams
Experience working with ASEAN enterprise customers and understanding local business culture, procurement processes, and decision-making dynamics across ASEAN
Familiarity with the ASEAN regulatory landscape (e.g., Singapore Privacy Principles, APRA CPS 234, data sovereignty requirements) and how it impacts enterprise AI deployments
Experience with the unique technical requirements and technical procurement process of enterprise tech companies
Deep technical proficiency with enterprise AI deployments, API integrations, and production LLM use cases
Have an organizational mindset and enjoy building foundational teams in a relatively unstructured environment
Have excellent communication, collaboration, and coaching abilities
Are comfortable dealing with highly uncertain, ambiguous, and fast-moving environments typical of the tech industry
Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams
Have at least a high level familiarity with the architecture and operation of large language models and/or ML in general
Experience with prompt engineering, LLM evaluation, and architecting AI-powered systems
Make ambiguous problems clear and identify core principles that can translate across scenarios
Have a passion for making powerful technology safe and societally beneficial
Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks
Stay up-to-date and informed by taking an active interest in emerging research and industry trends
Understanding of developer tooling, SDKs, and technical integration patterns common in enterprise tech companies
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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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.
УдалённоleadRemote, United Kingdom
seniorArgentina (Remote); Mexico (Remote); São Paulo, Brazil
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San Francisco, CA | New York City, NY; Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team
ГибридKuala Lumpur, Malaysia; This includes supporting the transition toward global queues, shared case ownership and seamless customer support across regions and time zones; Strong understanding of the APAC region, with experience working across different markets, cultures and time zones while building shared global accountability
ГибридMumbai, India; Noida, India; This includes supporting the transition toward global queues, shared case ownership and seamless customer support across regions and time zones; Strong understanding of the APAC region, with experience working across different markets, cultures and time zones while building shared global accountability
seniorChicago, IL or Remote
ГибридAdelaide, Australia; This includes supporting the transition toward global queues, shared case ownership and seamless customer support across regions and time zones; Strong understanding of the APAC region, with experience working across different markets, cultures and time zones while building shared global accountability
San Francisco; New York City
San Francisco; New York City
leadSan Francisco, CA | New York City, NY
headSan Jose, California, United States
New York, United States
УдалённоRemote: United States; San Francisco HQ; SF or Remote (US/Canada); Remote: Canada