Location: San Francisco; Seattle; New York City
ABOUT THE ROLE
The Enterprise Agent Evals & Efficiency team makes Perplexity's agents better at completing real work across enterprise connectors, tools, and data. Our goal is to help agents choose the right tools, use the right context, and complete complex workflows reliably, with less time and compute. This team owns the improvement loop: define what successful work looks like, build evaluations that measure it, understand where agents fail, and ship changes that improve outcomes.
This is a hands-on engineering role with end-to-end ownership, from building realistic enterprise evaluation environments to shipping improvements across the agent harness, tools, and skills. You'll create complex scenarios spanning connected systems, data, and permissions, use them to identify where agents struggle, and improve the tools agents call, the skills they follow, the context they receive, and the models they use. Working with AI Research, Connectors, and Platform teams, you'll turn experimental results into measurable gains in task success, latency, and cost per successful task. The goal is not just to measure agents, but to make more enterprise work reliable and practical to automate.
KEY RESPONSIBILITIES
- Build realistic enterprise evaluation environments spanning connected applications, representative datasets, user roles, and permissions, with complex, multi-step workflows and reproducible system state.
- Own evaluation infrastructure, task suites, and automated graders that measure how well agents complete enterprise work, calibrated against human judgment and grounded in end-to-end outcomes.
- Analyze agent trajectories and production failures, identify root causes, and ship improvements across the agent harness, tools, and skills that measurably improve task success and reliability.
- Develop reusable skills and improve tool descriptions, schemas, and result handling so agents can select the right tools, execute workflows correctly, and recover from errors with fewer unnecessary calls.
- Build and evaluate model-selection and routing strategies that match each task to the right model and effort level, balancing quality, latency, reliability, and cost.
- Improve agent efficiency through context management, skill loading, caching, and execution strategies that reduce wasted tokens and cost per successful task without compromising quality or safety.
- Build regression gates and launch-readiness signals for model, connector, tool, skill, and harness changes, and validate that evaluation gains translate into better production outcomes.
QUALIFICATIONS
- 5+ years of software engineering or machine learning engineering experience, with a track record of owning complex production systems from design through deployment and operation.
- Strong system design skills, including building reliable, scalable infrastructure for experimentation, evaluation, or data-intensive applications.
- Strong proficiency in a backend language such as Python, Go, or Rust, and the ability to work effectively across a multi-language production stack.
- Hands-on experience building, evaluating, or improving LLM-based applications or agents, including tool use and multi-step workflows.
- Deep expertise in at least one of the following:
- Evaluation infrastructure, benchmark design, and automated grading.
- Agent harnesses, tool interfaces, and reusable skills for complex workflows.
- Realistic test environments or simulations spanning multiple systems, datasets, permissions, and stateful workflows.
- Model selection, routing, and inference efficiency, including context management and caching.
- Strong experimental and statistical judgment, including choosing representative tasks, defining meaningful success criteria, diagnosing failures, and distinguishing real improvements from noise.
- Sound technical judgment in balancing task quality, latency, reliability, and cost, with a track record of translating evaluation findings into shipped improvements.
- A track record of leading ambiguous, cross-team initiatives from architecture through production adoption, setting technical direction, and raising engineering quality through mentorship.
If you’re excited about this role, we encourage you to apply even if you don’t meet every qualification. We value demonstrated impact, deep ownership, and the initiative to turn ambiguity into results.
Location: New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute.
As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend.
You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment.
This is a pipeline role feeding four areas.
Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap:
Data platform
Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need.
Planning
Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other.
Efficiency
Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number.
Attribution and forecasting
Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO.
Key responsibilities
Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs.
Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Utilization improvements are worth enormous sums at our scale.
Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline.
Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration.
Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable.
Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company.
What you bring
A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor.
Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable.
Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations
Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on.
Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction.
Preferred qualifications
Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here.
Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads.
Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements.
Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers.
Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level.
Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed.
Storage efficiency, retention, and lifecycle program experience at exabyte scale.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$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.
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: Mexico City, Cuauhtémoc, Mexico
Working at Bitso
We are a diverse team that takes pride in understanding the perspectives of others. We fully embrace working remotely and we are eager to act, improve and drive rapid progress inside and outside of our organization.
To drive revolutionary changes in society and make crypto useful, we delight our customers with world-class products, deep care, and intentional empathy.
Your Purpose
As an Onboarding Operations Analyst, you will be responsible for supporting the customers registration and onboarding process within Bitso Business. You will actively manage the workflow for account registration, ensuring efficiency and compliance while contributing to strategic improvements that enhance scalability. Your insights will play a key role in enabling Bitso Business accounts to become fully operational. Collaborating cross-functionally, you will optimize workflows, streamline processes, and ensure the seamless execution of daily operations. Your role will be essential in identifying bottlenecks, improving system performance, and driving continuous enhancements across our platform.
Also, you are going to be responsible to give support to customers with issues related with access to their accounts, 2FA reset, data updates and so on.
Location
Mexico City
Reports To
Business Operations Manager
What You Will Do
Review and process customer applications for Bitso Business accounts, ensuring all required documents are submitted and validated.
Identify inefficiencies in the onboarding process and suggest improvements.
Work with tech teams to automate manual processes for faster customer activation.
Coordinate with KYB, Compliance, Legal, Fraud, and Tech teams to resolve onboarding issues.
Ensure seamless communication between internal teams to accelerate approvals.
Assist customers with onboarding-related questions and troubleshoot registration issues.
Provide guidance on documentation requirements and eligibility criteria.
Track key onboarding metrics such as approval rates, processing times, and bottlenecks.
Provide insights to improve efficiency and enhance customer experience.
Proactively identify areas for enhancement and contribute to operational strategies.
Give support after the account onboarding, with issues related to the accounts access, the activation of new products, data updates…
Qualifications
2+ years of experience in an Operations Analyst or similar role.
Strong analytical skills and experience with ticket service tools (e.g., Jira, Zendesk).
Ability to identify inefficiencies and propose effective solutions to improve processes.
Experience tracking threads and customer requests via Slack or email
Capability and great communications skills to manage support meetings with customers when necessary.
Experience in working with cross-functional teams and managing multiple stakeholders.
Knowledge of the cryptocurrency or fintech industry is a
plus
.
Excellent organizational, communication, and time management skills.
Ability to adapt in a fast-paced environment and work with evolving priorities.
Who We Are
With over 10 million users, Bitso is the leading cryptocurrency platform in Latin America. We are developing the cryptocurrency ecosystem in the region and enabling financial inclusion. We believe crypto is the future of finance, and we’re committed to making it useful by providing equal access to safe and intuitive financial products.
We are here to make a lasting impact on our customer’s lives and we do so by embracing our core values:
Be Human:
we delight our customers through great products, deep care and true empathy. We are humble and we take pride in understanding the views of others to help us see the full picture.
Drive Change:
we're fearless pioneers committed to unlocking the crypto revolution for humanity. We move fast, take risks and work together to drive lasting impact.
Choose Bold Honesty:
we seek the truth, especially when it’s uncomfortable, in our teams, products and business reality because that will uncover where we need to focus.
Be an Owner:
our sense of urgency makes us have a bias towards action, where we prioritize exceptionally and are wise in allocating our time to ensure we always deliver creative and innovative results.
Learn more about our
culture and values
.
Compensation & Benefits
At Bitso, you are taking the front seat on the edge of crypto innovation, creating the next generation of crypto-powered products.
So for those willing to commit, adapt and pioneer the most important change of the century we offer:
Me Time program
, including unlimited paid time off.
Employee Stock Option
program.
Extended
Family Leave
policy: all birthing parents, non-birthing parents and adopting parents are eligible for a 4-months leave.
Premium health, dental and life
Wellness
platform.
Want to leave an undoubtedly legacy with us? Fasten your seatbelt and join this spaceship, where you will find exponential growth and the opportunity to thrive!
Location: Remote-Friendly, United States
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is building AI systems that will shape the trajectory of one of the most consequential technologies in human history. That work requires physical infrastructure at significant scale, and building that infrastructure the right way means being a real, long-term partner to the communities where we operate.
We are looking for a Community Engagement Manager in Indiana and Kentucky to join our Public Policy team and serve as Anthropic's on-the-ground presence in the communities where our data centers are sited, built, and operated. This is not a communications role or a government affairs role, though you will do elements of both. It is a relationship role: your job is to make Anthropic a trusted, visible, and valued neighbor, from the earliest stages of site selection through construction and long-term operations.
You will be the connective tissue between Anthropic's Policy and Infrastructure teams and the local officials, community organizations, economic development partners, and residents who have a stake in what we build. You will surface concerns before they escalate, translate our technical and operational plans into clear local benefits, and build the coalitions that allow us to move quickly and responsibly. Because Anthropic's infrastructure footprint is still early in its growth, you will also help write the playbook: the processes you build in your first markets are the ones we will use as we expand.
You will travel regularly within Indiana and Kentucky, up to 50% of the time, and occasionally to other Anthropic data center markets.
Key responsibilities
Build and maintain trusted, sustained relationships with county commissioners and councils, Kentucky fiscal courts and judge-executives, mayors and city councils, plan commissions and zoning boards, state and regional economic development organizations, community groups, civic leaders, educational institutions, and workforce partners in the Indiana and Kentucky data center markets you cover
Develop and execute a community engagement strategy for each of your markets, spanning site selection, pre-development, construction, and ongoing operations
Build external coalitions, host education and listening sessions, and design local solutions that deliver real benefits to the communities where we operate
Represent Anthropic in public forums, town halls, planning hearings, community events, and local media
Monitor community sentiment and local political dynamics, and advise internal teams on risks, opportunities, and the right pace and posture for engagement
Partner with the Real Estate and Infrastructure team to bring community input into how projects are planned, communicated, and delivered, not just how they are announced
Work with the Communications team to develop proactive, locally relevant messaging
Coordinate charitable giving, community investment, and economic development commitments in your markets, including managing nonprofit partner relationships
Partner with the Energy and Sustainability team to explain our approach to environmental stewardship and respond to questions about power, water, and land use, including how large electricity needs are served by local utilities and rural electric cooperatives
Build a community engagement playbook and repeatable processes that scale as Anthropic's infrastructure footprint grows
Minimum qualifications
Experience in community affairs, public affairs, economic development, government relations, local or state government, or a closely related field
Direct experience working for or engaging with county and municipal governments and a broad set of community stakeholders on behalf of large infrastructure, construction, energy, or technology projects, with a working understanding of how local politics and community dynamics actually play out
A skilled relationship and coalition builder who earns trust with a diverse group of stakeholders, and who maintains relationships through difficult conversations
The ability to represent a company credibly in public settings, including town halls, hearings, and press interviews
Strong written and verbal communication skills, including the ability to turn a complex operational plan into plain language that a local official or reporter can understand and respond to
The ability to work independently, get up to speed quickly on complex policy issues, and manage multiple concurrent engagements across different markets without losing track of any of them
Based in Indiana or Kentucky or willing to relocate to one of them, and prepared to travel regularly across both states
Preferred qualifications
7+ years of experience in community engagement specifically on data center, utility, energy, or large-scale industrial infrastructure projects, or in local government
Familiarity with land use, zoning, and permitting processes at the county and municipal level in Indiana and/or Kentucky, including local tax abatement and incentive approvals
Experience managing corporate social responsibility programs
Established relationships with economic development, workforce, or civic organizations in the markets this role covers
Experience working with real estate, legal, communications, and policy teams at the same time
A genuine interest in the communities where you work, not just the projects you are managing
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:
$265,000
—
$295,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Responsibilities Design web and digital experiences from initial concept through final UI and developer handoff. Translate brand concepts and creative direction into engaging and usable digital interfaces.
Location: Indianapolis, United States; Ohio City, United States; Chicago, United States
About us:
Shape the Future with AI, Ignite Your Potential
Xenon7 is an inferno where skill, dedication and passion run together.
About our client:
Global healthcare leader headquartered in Indianapolis, Indiana. The Cardiometabolic Research (CMR) Therapeutic Area of our client, focuses on the discovery of biologic, small molecule and genetic therapeutics for the treatment of cardiometabolic diseases and associated complications.
The Cloud and Connectivity organization is seeking an engineer in HPC platforms. This role will focus on enabling analytical, statistical, and scientific computing capabilities within high performance computing infrastructure. We are looking for an HPC Platform Engineer to help accelerate the next era of high performance computing innovation.
What You’ll Be Doing
You will be a leader the engineering and operations of design, build, and maintain scalable HPC platforms.
You will play a crucial role in enabling HPC infrastructure and experiences.
Collaborate with researchers and scientists to optimize performance and streamline workflows.
Leverage tooling and automation for orchestration, resource scheduling, data access, and reproducibility.
Evolve and operate public cloud and on-premises environments with a focus on availability and performance for HPC workloads.
Define and monitor infrastructure metrics, resource utilization, among others.
How You’ll Succeed
Be Bold
- You will bring a high learning agility and platform engineering skills to enable the Technology strategy, identifying opportunities to accelerate our HPC journey.
Be Fast
- You will advance initiatives to enable critical business projects.
Be Proactive
- You will have opportunities to leverage agile ways of working with a willingness to become an expert in deploying HPC solutions.
Be Your Best
- You will learn about new technologies in HPC.
Requirements
What You Should Bring
Hands-on experience in HPC platforms, including knowledge of accelerators (e.g., GPU), HPC schedulers (e.g., Altair Grid Engine, Slurm), Kubernetes platforms, and containers technologies (Docker, Apptainer).
Demonstrated experience in HPC workloads, infrastructure, and cluster architectures.
Expertise with the Linux command line, Linux troubleshooting, and HPC administration.
Experience with DevOps tools such as Github, Chef, Ansible, Terraform.
Experience with automating infrastructure and applications.
Passion for continual learning and staying informed of new technologies, infrastructure trends, and approaches in the HPC field.
Strong programming and scripting skills in languages such as Python or Bash.
Basic Requirements
Bachelor’s degree in computer science, Information Technology, or related technical field.
5+ years’ experience HPC Platform Engineer.
Demonstrated experience leading a global large-scale infrastructure project.
Benefits
Attractive, market-leading salary package.
Clear career advancement path with professional development opportunities.
Location: San Francisco, CA | New York City, NY | Washington, DC
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 an Integrity and Authenticity Policy Manager, you will be responsible for developing, refining, and maintaining policies that prevent the misuse of AI systems for deception, manipulation, and unauthorized monitoring at scale. You will serve as the policy owner for risks related to inauthentic behavior, influence activity, surveillance, and the profiling of individuals and groups, and you will help shape policy frameworks across several areas, including authenticity, information integrity, and privacy and surveillance.
Your initial focus will be on translating the Integrity and Authenticity risk framework into clear, enforceable policies, ensuring policy language addresses emerging threats identified by partner teams, and establishing guidelines that enable consistent enforcement decisions. Many of the most serious harms in this space begin with upstream steps that look routine on their own, such as compiling records about a person, automating account creation, or sorting users by inferred identity. Part of your work will be defining where those steps become prohibited. The role will expand as AI capabilities advance. Safety is core to our mission. You will help ensure our products cannot be used to deceive people at scale, monitor and profile people without their knowledge or consent, or sort and target populations based on sensitive characteristics.
Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature, as well as detailed descriptions of privacy violations, surveillance abuses, and deceptive campaigns targeting vulnerable people.
Key responsibilities
Develop and define policy boundaries for covert monitoring, tracking, and surveillance across different contexts, drawing the distinction between malicious behaviors and compliant dual-use scenarios
Write policy guidance on facial recognition, voice cloning, and geolocation inference, specifying which uses require consent and which are prohibited outright
Map the surveillance lifecycle, from target selection and data collection through analysis and covert deployment, and define the policy line at each stage so that interventions can occur early in the chain
Design and oversee evaluations that measure the model's capability to support social media monitoring, people-finding, predictive profiling, and the identification or tracking of specific people, to build, develop and improve safeguards with cross-functional partners to prevent malicious behaviors
Write and refine external-facing Usage Policy language and develop training guidelines, assessment rubrics, and evaluation protocols for enforcement teams, with emphasis on indicators of covert monitoring and population-level targeting
Validate enforcement decisions and automated assessments, provide policy guidance on complex edge cases such as investigative research into surveillance tools, coordinate with civil society, privacy experts, threat intelligence researchers, and academics, and serve as the escalation point for complex integrity and surveillance cases
Minimum qualifications
Working knowledge of how deceptive campaigns and covert monitoring operate in practice, including account networks, bot operations, data aggregation pipelines, and attribution methods
Familiarity with surveillance technologies and their misuse, including social media monitoring tools, people-search services, location tracking, spyware, facial recognition, and open-source intelligence techniques used against individuals
General knowledge of the global regulatory landscape around data protection, privacy, platform regulation, and digital services accountability
Strong policy writing skills, with the ability to translate complex threat frameworks into clear, enforceable guidelines
Experience designing policies and workflows that enable both clear human enforcement decision-making and technical implementation in ML classifiers and detection pipelines
Strong collaboration skills and extensive experience partnering with Engineering, Data Science, Legal, Threat Intelligence, and Policy teams on cross-functional initiatives
Excellent written and verbal communication skills, with the ability to explain deceptive tactics, surveillance methods, and policy rationales to diverse audiences, including non-specialists and policymakers
Preferred qualifications
5+ years of experience in policy development, trust and safety, threat intelligence, or platform integrity, with hands-on work on inauthentic behavior, surveillance-related abuse, or data misuse
Experience in privacy policy, privacy engineering, or data protection work, including familiarity with privacy impact assessments and data minimization principles
Experience in intelligence roles, state-aligned monitoring operations, or covert data collection campaigns
Experience investigating inauthentic networks, covert monitoring, or surveillance abuses at a platform, research organization, or government body
Background in digital forensics, open-source intelligence, or threat attribution
Knowledge of persuasion theory, cognitive biases, and deceptive communication techniques, including social engineering and pretexting methods
Familiarity with human rights and privacy frameworks as they apply to surveillance, including protections for journalists, activists, and marginalized communities
Experience with trust and safety operations involving content moderation evasion, bot detection, or platform scraping enforcement
Experience working with EU institutions, regulatory bodies, or policy organizations on AI governance or digital platform regulation
Experience conducting adversarial testing, red teaming, or vulnerability assessments for AI systems or platforms, particularly for misuse involving monitoring or profiling
Familiarity with generative AI capabilities and an understanding of how LLMs can be used for synthetic personas, social engineering, predictive profiling, or surveillance at scale
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:
$245,000
—
$285,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Join Anthropic's Customer Success team in a high-visibility & high-impact role driving AI adoption across a small number of enterprise accounts in our Enterprise Tech segment. As our dedicated Customer Success Manager for Enterprise Tech Customers you’ll be their partner and trusted advisor helping them harness the full potential of all our Claude capabilities - API, Claude Code, Cowork, and other surface areas.
You'll work with a book of global technology leaders to actively deploy AI and reshape the technology landscape. You’ll be working with key partners who are moving fast and pushing the boundaries of what's possible with LLM technology. Your role will entail developing genuine partnerships with the customer and key stakeholders, gaining a deep understanding of their multi-pronged business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us.
In partnership with the broader account team, you will help customers identify the right Claude capabilities for their specific business objectives, working closely with them to provide best practices and guidance while supporting them as their usage grows and evolves.
Your role focuses on helping customers scale their usage effectively, drive model and use case optimizations, implement change management strategies, and maximize the value of their investment through expanded use cases across their organization. The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies — making you a key voice in shaping how we build and deliver ongoing value as a business.
Responsibilities:
Build trusting, strategic relationships with key customer decision makers in complex, matrixed organizations; understand their business and objectives and identify opportunities for optimization and expansion
Own customer operations across the lifecycle of each account, maintaining a structured operational assessment (customer readiness, operational health, strategic alignment, enablement strategy, adoption intelligence) that grounds comprehensive account and success plans and Executive Business Reviews
Become an expert in Anthropic's products across API, Claude Code and Cowork, understanding the technical nuances and best practices for each to guide customers to the right solutions
Leverage your deep knowledge of each customer, and the patterns you see across your other Tech accounts, to proactively drive consumption planning and the value story behind it, developing credible ROI hypotheses and quantifying outcomes that build the case for continued and expanded investment.
Monitor usage patterns and identify optimization opportunities across Claude surface areas (API, Claude Code, Cowork) to drive full value from contracted commitments
Serve as the customer’s thought partner, enhancing their knowledge of Claude products by socializing Anthropic’s product roadmap, driving awareness on new products and engaging Product PMs
Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement
Ruthlessly prioritize across the account's many business units and workstreams, building programmatic, repeatable motions
You may be a good fit if you have:
6+ years of experience in Customer Success, Technical Account Management, Solutions Engineering, or Strategy Consulting
Experience working with F500 technology companies, SaaS platforms, or digital-first businesses at the exec level—ideally including high-growth and established tech companies.
You understand what it means to lead organization-wide change or adoption programs (multiple functions, hundreds of users) for a product that requires C-suite sponsorship
Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns across a set of diverse stakeholders—from developers and product managers to executives and end users
Proven track record managing a portfolio of accounts while maintaining strong relationships and driving measurable outcomes — you can run multiple enterprise motions in parallel without letting any account go quiet.
Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs
Passion for AI and interest in responsible development of advanced systems. You have built with Claude Code, automating your own workflows with agents, skills, and tooling.
A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality
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:
$200,000
—
$265,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Baghdad, Iraq
Toters is an on-demand e-commerce and delivery platform and operates a service that enables customers to get anything in their city at the highest level of convenience.
At Toters, technology is at the heart of everything we do. We have product teams that are working hard every day to create products that make our customers' lives easier. Our engineers are also continuously creating solutions to make our processes more efficient, all in an effort to get to our customers fast and at the best cost. If you are interested in working in a high growth startup environment, and look to be part of a team that will potentially change the way customers shop in the Middle East, apply now.
Role Overview
The Site Engineer is responsible for overseeing the day-to-day execution of renovation, construction, and fit-out activities of Toters Fresh Warehouses . The role ensures that works are executed according to approved designs, specifications, quality standards, safety requirements, approved budget and project timelines.
Key Responsibilities
Supervise daily construction, renovation, and fit-out activities on site.
Monitor contractors and subcontractors to ensure works are executed according to approved specifications, plan and budget.
Conduct regular site inspections and identify quality, technical, or safety issues.
Review technical drawings and ensure accurate implementation on site.
Coordinate civil, electrical, HVAC, plumbing, and other MEP activities.
Track project progress and report delays, issues, and deviations to the Management.
Verify measurements and quantities of completed works.
Assist in reviewing BOQs, quotations, variations, and contractor submissions.
Coordinate with contractors and suppliers to ensure timely delivery of materials and completion of works.
Ensure proper housekeeping, safety, and compliance with site requirements.
Support testing, commissioning, snagging, and final handover of facilities.
Maintain site records, progress reports, inspection reports, and relevant documentation.
Support the preparation and updating of warehouse layouts and floor plans when required.
Supervise maintenance projects when required
Coordinate with the Maintenance team to improve the finishing quality and overall execution of renovation projects.
Requirements
Bachelor’s degree in
Civil Engineering, Electro-Mechanical Engineering, or related field
.
Experience in
renovation, construction, or fit-out project execution
.
Experience in
retail, commercial, warehousing, or similar environments
is preferred.
Good understanding of civil and MEP works.
Ability to read and interpret technical drawings.
Strong site supervision and problem-solving skills.
Good organizational and communication skills.
Ability to work on-site and manage multiple activities simultaneously.
Location: Los Angeles, California
Workplace: OnSite
WHO WE ARE
X-LAB is the in-house performance bicycle line by XDS, which has quietly become the world’s largest and most vertically integrated bicycle manufacturer and the largest maker of carbon fiber frames, supplying many of the top brands in cycling and mobility.
Today, XDS is quiet no more.
XDS launched X-LAB in April 2026 as the global consumer brand to take the industry by storm. Three decades of experience building exceptional bicycles have culminated into a unique line of road, gravel, electric, city, hybrid, and soon mountain bikes that riders and shops can’t stop talking about.
X-LAB is the new inflection point for the category.
We launched in April 2026 with a full lineup across road, gravel, city, fitness, e-bike, and soon mountain categories, with validation from the highest and most demanding levels of the sport through the XDS Astana Team and a rapidly growing network of dealers.
Our ambition is not simply to sell more bikes. It is to make great bikes more integrated, more accessible, and better supported through the independent shops and communities that grow cycling and bring in new riders.
That is what makes this moment exciting.
Joining X-LAB means shaping a company with unmatched production scale, real engineering R&D depth, and the confidence to earn trust… one rider, one dealer, one product, and one market at a time.
Are you ready to ride ahead of the pack?
Learn more at https://xds.co/https://xlabbikes.com
See an insider’s look of our factory: Youtube Video https://www.youtube.com/watch?v=06SheO5XFsY
____________________________________________________________
XDS is seeking a Senior Recruiter to join our People Operations team as we rapidly scale in the US market and beyond. You'll be responsible for owning full-lifecycle recruiting for some of our toughest roles, partnering directly with senior leaders to deeply understand their talent needs, build great pipelines, and drive process improvements that help X-LAB continue its meteoric growth. This is a high-impact, low-ego opportunity to shape the future of cycling and gain a deeper understanding of early-stage People Operations.
This role is based in Santa Monica, and is 5 days a week onsite.
What You’ll Do
- End-to-End Recruitment: Manage the entire hiring lifecycle from initial intake and job description creation to sourcing, screening, interviewing, offer negotiation, and closing candidates.
- Talent Sourcing & Pipeline Building: Proactively source passive candidates through LinkedIn, professional networks, referrals, and sourcing tools to build robust talent pipelines for current and future roles.
- Stakeholder Management: Partner closely with hiring managers and department leaders to understand team needs, define role requirements, and advise on market hiring trends.
- Candidate Experience: Deliver a seamless, high-touch, and positive candidate experience throughout the interview process, ensuring clear communication and prompt feedback.
- Employer Branding: Represent X-LAB at career fairs, industry events, and networking sessions to attract top-tier talent and promote the company culture.
- Metrics & Reporting: Analyze key recruitment metrics (e.g., time-to-fill, source of hire, conversion rates) to evaluate hiring efficiency and present data-driven updates to leadership.
Requirements:
- 5+ years of full-cycle recruiting experience, preferably in a fast-paced or rapidly scaling environment
- Experience recruiting across a broad range of disciplines including creative, software and hardware engineering, marketing, sales, and manufacturing
- Proven track record of proactively sourcing and screening passive candidates using advanced sourcing tools
- Strong stakeholder management skills with the ability to partner effectively with hiring managers and cross-functional teams
- High ownership of an exceptional and efficient candidate experience
You’re a Spectacular Fit With:
- Fluency in Mandarin to seamlessly interface with China HQ
- Strong technical aptitude and proven abilities with AI and automation
Success Metrics (Year 1)
- Add 40-50 people globally across teams
- Optimized kickoff, interview, and post processes
- Improved hiring efficiency and reduced time to fill
____________________________________________________________
Our Compensation and Benefits
- Competitive salary
- Demo bike fleet and comprehensive travel allowances
- Generous time off policy
- Comprehensive medical, dental, and vision coverage
Work Environment
This role requires regular office presence for team collaboration and product training, combined with periodic field travel. Remote work is not available for this position due to the hands-on nature of the role and need for close coordination with leadership.
Equal Opportunity
XDS is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all team members.
Location: San Francisco; London; Seattle; New York City; Toronto
ABOUT THE ROLE
The Enterprise Trust & Governance team builds the control plane that lets the world’s largest organizations deploy Perplexity broadly and with confidence. Computer and our agents work across a growing share of our customers’ environments, tools, and models. For administrators, that makes precise, enforceable control essential: who can do what, with which data, through which agents, and within what usage limits. This team makes those controls easy to manage, reliable and consistent across every product, and transparent to the people accountable for them.
This is a product and platform engineering role with end-to-end ownership, from shaping the architecture and policy models to shipping the experiences our customers’ administrators and security teams use every day. You’ll work across product and infrastructure teams to turn complex enterprise requirements into reusable primitives and intuitive controls. The scope spans identity and provisioning, fine-grained role-based access across connectors, tool actions, and models, customer-managed encryption keys, admin APIs, audit logs, and policy and usage controls. Strong governance helps enterprises move from pilots to company-wide rollouts and gives them the confidence to entrust agents with greater responsibility over time.
KEY RESPONSIBILITIES
- Own enterprise identity and provisioning, including SSO (SAML/OIDC), SCIM, WorkOS integrations, and support for identity providers such as Okta and Microsoft Entra ID.
- Build the permissions platform, with fine-grained roles and permissions for connectors, tool actions, models, and model effort levels, enforced consistently across products and agent workflows.
- Design and ship secure, well-documented admin APIs for audit logs, members, groups, roles, and settings.
- Build policy controls for model and feature availability, staged rollouts, model deprecations, usage and spend limits, alerts, and cost-center allocation.
- Build admin-facing analytics for adoption, usage, spend, and policy enforcement, helping organizations measure value and manage their deployments.
- Deliver audit logs and change notifications that help administrators investigate activity, track configuration changes, and support compliance.
- Set the technical bar for authorization correctness and reliability, with fast, consistent, explainable permission checks, well-defined failure behavior, and strong tenant isolation.
- Partner with Product, Design, Security, Sales, and Customer Success to translate complex enterprise requirements into reusable platform capabilities and intuitive admin experiences.
QUALIFICATIONS
- 4+ years of software engineering experience, with a track record of owning complex backend systems from design through production operation.
- Strong system design skills, including building reliable, scalable, multi-tenant SaaS platforms with clear security and isolation boundaries.
- Strong proficiency in a backend language such as Python, Go, or Rust, and hands-on experience with cloud infrastructure such as AWS and Kubernetes.
- Deep expertise in at least one of the following:
- Enterprise identity and provisioning, including OAuth, OIDC, SAML, and SCIM.
- Permissions platforms, fine-grained authorization, and policy enforcement.
- Encryption, customer-managed keys, and key lifecycle management.
- Enterprise admin platforms, audit infrastructure, or usage and spend analytics.
- Experience building or integrating enterprise identity and access systems, including platforms such as WorkOS, Okta, or Microsoft Entra ID.
- Sound technical judgment in security-sensitive systems, balancing threat models, authorization correctness, and failure behavior with usability and delivery speed.
- A track record of leading ambiguous, cross-team initiatives from architecture through adoption, setting technical direction for shared platforms, and raising engineering quality through mentorship.
If you’re excited about this role, we encourage you to apply even if you don’t meet every qualification. We value demonstrated impact, deep ownership, and the initiative to turn ambiguity into results.
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
Accelerating scientific discovery is a core part of Anthropic's mission, and we believe the highest-leverage path to this is enabling researchers externally to use Claude effectively for their work. This involves communicating Claude’s rapidly improving scientific capabilities through outreach and editorial programs, as well as putting Claude in the hands of researchers through grants, ergonomic research tools, and access programs that help scientists do more with AI than was previously possible.
We’re hiring a Technical Program Manager to be the bridge between the researchers advancing Claude’s scientific capabilities and the outside scientific community. Embedded with the Discovery team, you’ll conceptualize and run the programs that get Claude into scientists’ hands and shape the Anthropic Science Blog, working with Communications, Editorial, Beneficial Deployments, and external partners such as universities, funders, and scientific societies.
This is a technical role, not a purely operational one. These programs already have strong operational and editorial owners. You bring research taste and a firsthand understanding of how academia works, so we’re looking for someone who has been a researcher themselves, ideally through a postdoc or beyond. You’ll have significant autonomy: once aligned with Discovery’s leads on strategy, you’ll drive decisions on what we fund, what we publish, and how we engage with academic communities
Key responsibilities
Act as the interface between research and the outside world.
Stay close to the researchers working on Claude's scientific capabilities and translate rapid capability gain into use by external researchers.
Help set Anthropic’s external science strategy.
Recommend which scientific areas and communities we focus on, and how our programs, collaborations, and communications fit together
Guide the scientific direction of the
Anthropic Science Blog
.
Work with researchers and the Editorial team to identify and source stories internal and external stories worth telling, draft and edit posts, and keep a steady cadence of high-quality science writing.
Drive forward external science programs.
Design, launch, and run grants and access programs such as AI for Science grants and Team plan offerings for research groups, as well as partnerships with scientific foundations and grantmaking organizations. Work with Beneficial Deployments on programs aimed at the highest-impact scientific areas.
Gather feedback from scientific communities.
Identify usage patterns and gather feedback on how researchers use Claude and what capability gaps exist, and turn it into concrete recommendations for research and product teams.
Minimum qualifications
A PhD in a scientific or mathematical field, with a track record of original research
Demonstrated writing ability for both scientific domain and general-interest audiences, with enough understanding of how modern AI models are trained to write about them accurately.
Experience with the grants process, such as applying for and managing competitive funding, and ideally designing, reviewing, or administering funding programs
Deep engagement with frontier AI: you use these tools in your own work, understand where they're strong and where they fail, and take seriously the possibility that AI will transform every face of the scientific process within the next few years
Track record of driving multi-stakeholder projects to completion, and of coordinating people who are juggling other high-priority work. You’re resourceful, high-agency, and able to navigate ambiguity and shifting priorities.
Credibility with researchers: you can talk to scientists as a peer and understand how academic communities work, including their incentives, norms, and sensitivities
Fast learner who builds deep contextual understanding in unfamiliar scientific domains and can contribute meaningfully to discussions with researchers outside your own field.
Preferred qualifications
Experience as a program officer, program director, or fellowship lead at a science funder, research agency, or philanthropy
Published science writing in outlets such as Quanta, Scientific American, or Physics Today, or a substantial public writing presence such as a blog or newsletter
Research experience that uses AI or ML methods, or that involves building scientific software, tools, or datasets
Experience building partnerships with scientific societies, journals, or research institutions
Familiarity with AI safety and responsible deployment, including dual-use considerations in fields like biology
Experience organizing conferences, workshops, or large coordinated launches
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:
$365,000
—
$435,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Miami, United States; Allapattah, United States; Atlanta, United States; August, United States; Boston, United States; Bradford, United States; Brighton Beach, United States; Bronx, United States; Brooklyn, United States; Cedarhurst, United States; Chicago, United States; Columbus, United States; Dallas, United States; Denver, United States; Des Moines, United States; Doral, United States; Downtown Miami, United States; Dover, United States; Manhattan, United States; Fall River, United States; Florida, United States; Forest Hills, United States; Fresh Meadows, United States; Greenwich, United States; Hawley, United States; Hollywood, United States; kansas city, United States; Lansing, United States; Las Vegas, United States; Lexington, United States; Little Havana, United States; Little Rock, United States; Lynbrook, United States; Miami Springs, United States; Montogomery, United States; Nassau County, United States; New Bedford, United States; New Jersey, United States; Norwalk, United States; Oregon city, United States; Pittsburgh, United States; Phoenix, United States; Plano, United States; Ridgewood, United States; Salt lake city, United States; Seattle, United States; St. Louis, United States; Washington DC, United States; Wilmington, United States; Augusta, United States; Aventura, United States; Baton Rouge, United States; Boise, United States; Bismarck, United States; Bozeman, United States; Charleston, United States; Chayenne, United States; Coconut Creek, United States; Columbia, United States; Concord, United States; Coney Island, United States; Detroit, United States; Frankfort, United States; Indianapolis, United States; Jackson, United States; Jefferson city, United States; Kansas City, United States; Lincoln, United States; Los Angeles, United States; Montpelier, United States; Nashville, United States; Oklahoma city, United States; Pierre, United States; Providence, United States; Raleigh, United States; Tribeca, Manhattan, United States
Workplace: remote
Our client is looking for a
Sales Area Manager
to drive business growth across the United States, Canada, and the Caribbean, with a focus on CO2, biogas, industrial compressors, and PET packaging applications.
Reporting directly to the General Manager, you will develop new business opportunities, build lasting client relationships, and manage the full sales cycle. This is an opportunity for a technically minded sales professional with strong industry knowledge and an established network to help expand the company's market presence.
Key Responsibilities
Drive territory growth:
Develop and execute sales plans across CO2, biogas, industrial compressors, and PET packaging applications.
Win new business:
Identify prospective clients and projects, engage decision-makers, and lead opportunities from initial conversations through negotiation and closing.
Build lasting partnerships:
Develop relationships with end users, engineering firms, equipment manufacturers, distributors, and key industry partners.
Grow existing accounts:
Strengthen customer relationships, identify new opportunities, and collaborate with engineering and service teams to deliver effective solutions.
Shape market strategy:
Track industry trends and competitor activity, prepare sales forecasts, achieve individual performance targets, and represent the company at industry events.
Proven success in B2B technical sales and account management, preferably within industrial compressors, CO2, biogas, natural gas, or PET packaging equipment.
Strong knowledge of the North American market, ideally with an established network of industry contacts and customer relationships.
Demonstrated ability to identify, develop, and close new business opportunities within industrial equipment or technical applications.
Excellent communication, negotiation, and relationship-building skills, supported by strong technical understanding.
Bachelor's degree in engineering strongly preferred; extensive relevant industry experience may be considered in its place.
Willingness to travel up to 50% as needed and legal authorization to work in the United States.
Location: New York; San Francisco Bay Area, California; Connecticut
Workplace: hybrid
Provectus is a Premier AWS Partner and an Anthropic Strategic Partner, featured in Forrester's AI Technical Services Landscape. We are roughly 420 engineers building production AI for enterprise clients in Financial Services, Insurance, Healthcare and Life Sciences, Retail, and Entertainment. We build custom generative AI and agentic AI systems on live client data, not off the shelf products and not demos.
We are hiring a Senior Solution/Product Owner for our AI Delivery practice, a forward deployed seat at the intersection of frontier AI and enterprise transformation. You will own both the story and the delivery for client engagements built on Cowork Activation, Agentic SDLC with Claude Code, and Blueprint Activation. In one week you might frame an ROI case for a CFO, align a healthcare or financial services stakeholder on a compliant GenAI rollout, and pair with a Forward Deployed Engineer to wire an MCP integration or ship a Claude Code harness.
What You Will Do:
Own client engagements end to end, from use case framing and business case through scoped delivery, first deployment, and measurable results
Define the value proposition, positioning, and reusable artifacts for your assigned Program or Blueprint, and align sales, delivery, and account teams around them
Build business cases covering market fit, ROI, and competitive positioning, and translate them into scoped statements of work
Run discovery, use case validation, design thinking workshops, and user research, and turn findings into demos and production deployments
Stand up Cowork Activation, Agentic SDLC with Claude Code, or Blueprint Activation on live client data, driving rapid prototyping from use case to context to result
Build hands on with the Provectus delivery stack, including Claude, Claude Code, MCP servers, connectors, Skills, and plugins
Define product vision and roadmap for GenAI, LLM, RAG, and agentic AI engagements, and judge solution quality alongside architects and engineers
Break complex work into incremental releases, and balance delivery speed against technical debt and architecture
Lead Agile and Scrum execution across backlog, sprint planning, and release, following our Sprint, Enable, Realize engagement model
Define success metrics and analytics, and drive continuous improvement through root cause analysis
Contribute to the measurement framework behind our board level AI Maturity Index, ROI signal, and cost read
Support change management, stakeholder alignment, enablement, and reusable playbooks so wins repeat across accounts
What You Will Bring:
5 to 7+ years in product ownership, solution ownership, technical product management, or delivery leadership
3 to 5+ years working with AI/ML, generative AI, LLM applications, agentic systems, or data platforms
Deep domain expertise in Financial Services and Insurance and/or Healthcare and Life Sciences, ideally in a client facing or consulting context
Track record operating forward deployed or embedded with clients, as a Forward Deployed Engineer or Forward Deployed Expert, including hands on prototyping
Proven ability to take an offering, program, or product from zero to one and land it as real client delivery
Daily working use of Claude, Claude Code, and similar GenAI tools, including building your own skills, workflows, and productivity tooling
Comfort with MCP (Model Context Protocol) integrations, connectors, and custom agent harnesses
Understanding of GenAI and agentic patterns, including prompt engineering, RAG, embeddings, vector databases, and agent frameworks, deep enough to assess quality and translate it for executive stakeholders
Data fundamentals: what ETL/ELT, data modeling, and data governance mean in an enterprise context
Familiarity with AWS as a primary cloud platform, including Bedrock, and working awareness of MLOps and AI observability
Strong Agile and Scrum experience, and familiarity with outcome based, milestone priced consulting engagements
Design thinking, data driven decision making, and executive storytelling that holds up in front of a CFO or CIO
Enough engineering empathy to earn credibility with senior engineers and solutions architects on day one
Bias to action and structured problem solving in ambiguity
Based in the San Francisco Bay Area or New York City metro area, and authorized to work in the US without sponsorship
Nice To Have:
A second priority vertical beyond your primary Financial Services or Healthcare focus
Prior experience in an AWS Premier Partner or Anthropic partner environment
Claude Certified Architect, Seller, or Developer certification, or willingness to complete one early
Certifications such as CSPO, SAFe PO/PM, or AWS, Azure, or GCP
Software development or solutions engineering background
What We Offer:
Base salary range of $140,000 to $180,000 USD depending on experience
Frontier delivery work across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare
The chance to shape how leading enterprises adopt AI, from strategy through first deployment
A forward deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers
A growing AI delivery practice where you help build the tooling and frameworks, not just use them
Health, dental, vision, and 401(k) with company match
Unlimited PTO
Access to the latest AI tools and premium subscriptions
Internal training programs with full support for AWS and Claude certifications
Hybrid work in San Francisco or New York
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
Anthropic's Executive Briefing program brings senior leaders from our most strategic customers together with our spokespeople, product leaders, and researchers. As a Program Manager, Executive Briefings, you will run the program at one of our briefing centers and help build the global operating model that ensures an exceptional and consistent experience across the globe.
You will be the main program lead for your location and own briefings end to end: qualification and intake, agenda design, speaker selection, and day-of execution. You will set the objectives and design for each agenda and develop it jointly with Sales. You will also be the local account teams' go-to partner on how to use a briefing to move their most important opportunities forward.
You will manage the global workstream and set the standard every center follows, so customers get the same quality of briefing wherever they meet us. This is a highly cross-functional role. You will work with regional GTM leadership and the Office of the CCO on account selection and program strategy, with Product Marketing on content, with Solutions on technical deep-dives and demos, with Anthropic's executive bench on sponsorship and participation, and with Workplace, Security, and Revenue Operations on the experience and systems behind every briefing. You will be comfortable running every part of a briefing yourself and maintaining tight alignment with internal stakeholders.
Key responsibilities
Own the Executive Briefing program at your location: the local calendar, capacity planning, the request and intake process from Sales, and operating SLAs, applied against global criteria and regional allocation
Work with regional GTM leadership to decide which strategic accounts receive a briefing each quarter, hold the qualification bar, and proactively surface accounts that should be engaged
Lead discovery with account teams before each briefing to understand the customer's objectives, business context, and stage of evaluation, and turn that into a tailored agenda
Own agenda design and co-own agenda development with Sales for every briefing, including the narrative arc, discussion topics, speakers, and demos
Build and manage the speaker bench for your location: identify, source, and match speakers to briefings, run prep, and manage capacity so no one is over-asked
Own day-of orchestration and the customer experience standard at your center, in partnership with Workplace on logistics
Contribute to the playbooks, tooling, and best practices that let the program scale consistently across centers while allowing for regional nuance
Share intake and triage on a rotation across time zones so every request gets a decision within the defined SLA
Maintain one source of truth for criteria, lead times, and process so account teams get one answer
Own measurement and reporting for your center and contribute to global reporting on briefing volume, capacity and allocation, strategic-account coverage, and program-influenced pipeline and expansion
Onboard and coach briefing team members and contractors across locations
Minimum qualifications
Experience running executive briefings, customer events, or a comparable program for senior external audiences
Program management skills, including intake and prioritization, capacity planning, and managing multiple concurrent programs against SLAs
Experience designing agendas and facilitating discussions with C-level or other senior customer audiences
Experience building processes, playbooks, or tooling that help a program operate consistently
Ability to track, report on, and communicate program metrics such as volume, coverage, and pipeline influence
Strong written and verbal communication skills, with the ability to partner credibly with field leadership, executives, and internal subject matter experts
Work on site at your briefing center when briefings take place
Preferred qualifications
6+ years of experience building or scaling an executive briefing program, or a similar customer-facing program, at an enterprise technology company
Experience in a high-volume briefing environment
Experience with CRM and reporting tools such as Salesforce, and with connecting program activity to pipeline and expansion outcomes
Experience identifying and surfacing speakers for the speaker bench and managing speaker capacity across product, research, and executive teams
Experience working across time zones or across multiple sites to set one global standard
Experience onboarding or coaching new team members or contractors
Familiarity with AI products and how enterprises evaluate and adopt them
Interest in Anthropic's mission to build AI that is safe and beneficial
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$255,000
—
$320,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Global; Ireland; Portugal; United Kingdom; Spain; Brazil; Colombia; South Africa; Canada
Workplace: Remote
✨ ONE PLATFORM, A WHOLE WORLD OF OPPORTUNITY
The best jobs have always clustered in a handful of the world's wealthiest cities. But talent is everywhere. Oyster set out to close that gap - building a global employment platform that lets companies hire, pay, and care for brilliant people anywhere.
We're proof that a high-performing culture doesn't need an office. Distributed across 60+ countries since 2020, we've built something the industry keeps noticing:
- Ranked #10 of 250 on TIME and Statista's 2026 list of America's Top WorkTech Companies https://www.oysterhr.com/library/oyster-hr-named-10-of-americas-top-worktech-companies-of-2026-by-time
- Named one of America's Greatest Startup Workplaces 2026 https://www.oysterhr.com/library/oyster-2026-newsweek-award by Newsweek
- A G2 Spring 2026 Leader https://www.oysterhr.com/library/oyster-named-best-roi-for-any-global-employment-platform-for-g2-spring-2026 across Employer of Record, Global Employment, Multi-country Payroll, and HR Compliance
- The only B Corp-certified global employment platform ~ independently verified since 2023
Two of those rankings measured our business impact from the outside. One measured how our own people feel about working here. They landed in the same place ~ because at Oyster, culture and performance aren't separate conversations. They're the same one.
And we're just getting started. If you want to do the best work of your career alongside people who care as much as you do, we'd love for you to apply.
THE ROLE
Location: While this position is posted in a specific location, all of Oyster’s positions are fully remote and you can work from home. Forever. To create the best experience for our new hire, this role requires you to be based within UTC−6 to UTC+3.
Role Summary
Oyster is hiring an Integrated Campaign Manager to lead the planning and execution of integrated growth campaigns for global prospective customers, turning target accounts into pipeline and accelerating open opportunities. Reporting to the Director of Demand Generation and Growth Marketing, you'll partner closely with our Product Marketing, Brand, Digital, Events, Ops, and Sales teams to deliver one coherent buyer journey across every channel.
This is a role for a marketer who wants their work measured in pipeline, not page views. You’ll own Oyster’s integrated campaigns end to end. Deciding the strategy, the channel mix and the spend, and you’ll see directly how your work drives revenue. You’ll sit at the centre of Marketing and Sales, with the scope to shape how we reach companies hiring across borders.
Key Responsibilities
Demand Generation & Campaign Execution
- Develop, execute and optimize multi-channel demand generation campaigns. Including content syndication, webinars, virtual events, email nurtures, direct mail, referral programs, and demo programs: to drive net-new pipeline and accelerate open opportunities.
- Build quarterly campaign plans that balance always-on programs with high-impact moments for the full prospect lifecycle, modeled backward from pipeline goals to determine program mix and spend.
- Partner with Product Marketing and Brand to turn positioning into campaign messaging, offers, and content that is tested and refined based on results.
- Build campaign enablement (talk tracks, email templates, one-pagers) and align with BDRs on follow-up expectations so campaign interest converts into meetings.
- Manage timelines, budget, and resources to ensure successful campaign delivery with ROI accountability.
Cross-Functional Partnership & Continuous Improvement
- Partner closely with stakeholders in marketing, sales, operations and external vendors to ensure consistent, aligned campaign execution across the business.
- Optimize campaigns and refine strategies based on data-driven results, including A/B testing and performance reporting.
- Identify opportunities to leverage AI and emerging technologies to improve research, segmentation, personalization, campaign development, content distribution, analysis, and execution.
- Facilitate retrospectives and turn performance findings into optimized campaigns and repeatable playbooks.
Core Requirements
- 6+ years in B2B integrated or demand generation marketing, including substantial ownership of demand generation, integrated campaigns, growth marketing, or account-based marketing.
- A track record of building campaigns that tie directly to pipeline coverage and revenue outcomes, not just engagement metrics.
- Strong cross-functional collaboration skills.
- Data-driven, with working knowledge of attribution and pipeline measurement.
- Hands-on experience using AI tools for campaign planning, content acceleration, or workflow automation.
- Experience with Salesforce and HubSpot, or equivalent CRM/MAP platforms.
- Excellent written and verbal communication; comfortable presenting strategy and results to senior stakeholders.
You'll also need
- A reliable home internet connection and fluency in both written and spoken English.
HOW WE WORK TOGETHER AT OYSTER
Our values guide the work we do, the decisions we make, and the culture that makes Oyster what it is. We make it happen—progress is our default setting. We drive change, we build and give trust, and we move as one united team.
Our mission is to create a more equal world of work: helping companies everywhere hire, pay, and care for talent anywhere. Everything we do ladders up to our mission. We embrace asynchronous, collaborative work and share how we operate in the Oyster Public HQ https://oysterhr.notion.site/Welcome-to-The-Reef-Oyster-s-Open-Source-Employee-Guide-fc482e3f107c4afd8c85ed217f1d0c1d so other global teams can learn from us.
HOW YOU WORK
With diverse locations, cultures, and needs, we created How YOU Work; https://oysterhr.notion.site/How-YOU-work-ac16c1932e314ffd8cb693e332458395 a program supporting your whole human experience at Oyster:
- Work from anywhere: Oyster has no borders or HQ. As long as work is timely, your team is supported, and you're authorized to work where you live, you can work from anywhere.
- Paid time off: Enjoy 40 days off per year (including holidays and vacation), or more if required by your country.
- Mental health support: Access Plumm https://oysterhr.notion.site/Plumm-3b5e7e70dec6428e975f68f25972cfb7, our mental well-being service.
- Wellbeing allowance: Each month, receive a wellbeing allowance in your ThanksBen wallet to spend on a wide range of options.
- Flexible parental leave: All new parents are eligible for at least three months’ paid leave, with job protection for up to 12 months or as required locally.
- WFH stipend: Receive a stipend for your laptop and home office equipment to get you set up quickly.
✨ THE BEST JOBS SHOULD BE AVAILABLE TO EVERYONE
We embrace diverse perspectives and intentionally build our product and company with an inclusive, global mindset. We encourage you to apply, even if you don’t meet every criterion, and are committed to a trust-based, thriving environment.
Oyster is committed to ensuring equal opportunity of employment for qualified persons with disabilities and actively fosters an inclusive work environment. If you require reasonable accommodations throughout the recruiting process, please email jobs@oysterhr.com with the subject line: Interview Accommodations.
Our available positions are on our careers page. Our team will only contact you from an @oysterhr.com email, and we will never ask for money as part of an interview process or job offer. If you receive a suspicious email about Oyster jobs or are directed to a site other than www.oysterhr.com/careers http://www.oysterhr.com/careers, please report it via our Compliance and Ethics Helpline https://faceup.com/c/8tpzyyye.
Location: San Francisco; New York City
Workplace: Hybrid
In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and a growing share of them meet us first on their phone. The Growth team owns the product loops that help people discover, adopt, and build lasting habits around our most important AI experiences — and on mobile that means owning everything from the App Store listing to the first task a user finishes to the moment they upgrade.
As an Android growth engineer at Perplexity, you'll work across the full mobile funnel — install, activation, onboarding, push and lifecycle messaging, conversion, retention, and in-app purchase moments — for Perplexity, Comet, and Computer on Android. Engineers are responsible for end-to-end projects: rebuilding onboarding as a series of experiments, wiring in-app purchase and paywall surfaces to our billing systems, shipping notification experiences people actually keep enabled, and turning ASO and deep-link work into measurable adoption.
Growth at Perplexity goes beyond incremental funnel optimization. The team sits close to the core product — we translate behavioral signals, model outputs, and fast experimentation into durable product surfaces used across consumer and enterprise workflows. You'll move fast, run many experiments in parallel, and own the outcome end-to-end, while respecting the constraints mobile brings: release cycles, store review, and version fragmentation.
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
- Design, build, and own growth surfaces across the mobile funnel — install, activation, onboarding, lifecycle, conversion, retention, and paid upgrade moments — on Android.
- Lead experiments end-to-end, from hypothesis and instrumentation through implementation, analysis, and rollout, shipping many in parallel despite app release cadence. Build the flag-driven and server-driven patterns that let us test without waiting on a store release.
- Own in-app purchase and paywall surfaces: billing integrations, subscription and credit purchase flows, entitlement correctness, and pricing and packaging experiments.
- Build push and lifecycle notification experiences that earn their opt-in — permission prompts, targeting, timing, deep links back into the right task, and the instrumentation to prove they drive retention rather than churn.
- Make cross-platform surfaces feel native. Partner with web and design engineers so onboarding, upsells, and in-task nudges are consistent across web, iOS, and Android
- Partner with rest of Growth to optimize app store performance and attribution
- Hill-climb on the metrics that matter: install-to-activation, D1/D7/D30 retention, notification opt-in and engagement, paid conversion, and habit formation, instrumented with clean data and trustworthy experiment readouts.
- Partner closely with Product, Design, Data Science, Monetization, Marketing, and the core Mobile team to translate behavioral signals into durable product surfaces.
QUALIFICATIONS
- 3+ years of professional mobile engineering experience shipping consumer apps at meaningful scale on Android.
- Strong native skills — Kotlin/Jetpack Compose — and the willingness to flex into other parts of the stack to unblock yourself and others.
- Experience owning a full release cycle: build and release tooling, phased rollouts, store review, crash and regression monitoring, and rolling back safely.
- Strong execution: you ship many experiments and product improvements in parallel and drive them to a clear outcome.
- Familiarity with A/B testing and experimentation platforms (Eppo, Statsig, Optimizely, or in-house equivalents) especially inside a versioned app.
- Comfort data-informed decision-making — you can pull, segment, and interpret your own funnel data.
- Strong product judgment; you translate user behavior and growth opportunities into simple, effective technical solutions.
- Self-motivated with strong ownership instincts; you propose experiments, ship features ahead of schedule, and drive improvements without asking for permission.
- Genuine interest and adoption of AI products and willingness to learn quickly.
NICE TO HAVE
- Direct experience on a growth or experimentation-heavy team
- Deep experience with in-app payments
- Experience with mobile attribution and measurement stacks (AppsFlyer, Adjust, Branch) and paid mobile acquisition.
- ASO experience, including store listing experiments and localized metadata.
- Comfort reaching into the backend or web stack to unblock yourself end-to-end.
- Time spent at a fast-growing startup or on a high-ownership engineering team.
Location: San Francisco; New York City
In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and a growing share of them meet us first on their phone. The Growth team owns the product loops that help people discover, adopt, and build lasting habits around our most important AI experiences — and on mobile that means owning everything from the App Store listing to the first task a user finishes to the moment they upgrade.
As a mobile growth engineer at Perplexity, you'll work across the full mobile funnel — install, activation, onboarding, push and lifecycle messaging, conversion, retention, and in-app purchase moments — for Perplexity, Comet, and Computer on iOS. Engineers are responsible for end-to-end projects: rebuilding onboarding as a series of experiments, wiring in-app purchase and paywall surfaces to our billing systems, shipping notification experiences people actually keep enabled, and turning ASO and deep-link work into measurable adoption.
Growth at Perplexity goes beyond incremental funnel optimization. The team sits close to the core product — we translate behavioral signals, model outputs, and fast experimentation into durable product surfaces used across consumer and enterprise workflows. You'll move fast, run many experiments in parallel, and own the outcome end-to-end, while respecting the constraints mobile brings: release cycles, store review, and version fragmentation.
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
- Design, build, and own growth surfaces across the mobile funnel — install, activation, onboarding, lifecycle, conversion, retention, and paid upgrade moments — on iOS.
- Lead experiments end-to-end, from hypothesis and instrumentation through implementation, analysis, and rollout, shipping many in parallel despite app release cadence. Build the flag-driven and server-driven patterns that let us test without waiting on a store release.
- Own in-app purchase and paywall surfaces: billing integrations, subscription and credit purchase flows, entitlement correctness, and pricing and packaging experiments.
- Build push and lifecycle notification experiences that earn their opt-in — permission prompts, targeting, timing, deep links back into the right task, and the instrumentation to prove they drive retention rather than churn.
- Make cross-platform surfaces feel native. Partner with web and design engineers so onboarding, upsells, and in-task nudges are consistent across web, iOS, and Android
- Partner with rest of Growth to optimize app store performance and attribution
- Hill-climb on the metrics that matter: install-to-activation, D1/D7/D30 retention, notification opt-in and engagement, paid conversion, and habit formation, instrumented with clean data and trustworthy experiment readouts.
- Partner closely with Product, Design, Data Science, Monetization, Marketing, and the core Mobile team to translate behavioral signals into durable product surfaces.
QUALIFICATIONS
- 3+ years of professional mobile engineering experience shipping consumer apps at meaningful scale on iOS.
- Strong native skills (eg. Swift/SwiftUI/Objective-C) — and the willingness to flex into other parts of the stack to unblock yourself and others.
- Experience owning a full release cycle: build and release tooling, phased rollouts, store review, crash and regression monitoring, and rolling back safely.
- Strong execution: you ship many experiments and product improvements in parallel and drive them to a clear outcome.
- Familiarity with A/B testing and experimentation platforms (Eppo, Statsig, Optimizely, or in-house equivalents) especially inside a versioned app.
- Comfort data-informed decision-making — you can pull, segment, and interpret your own funnel data.
- Strong product judgment; you translate user behavior and growth opportunities into simple, effective technical solutions.
- Self-motivated with strong ownership instincts; you propose experiments, ship features ahead of schedule, and drive improvements without asking for permission.
- Genuine interest and adoption of AI products and willingness to learn quickly.
NICE TO HAVE
- Direct experience on a growth or experimentation-heavy team
- Deep experience with in-app payments
- Experience with mobile attribution and measurement stacks (AppsFlyer, Adjust, Branch) and paid mobile acquisition.
- ASO experience, including store listing experiments and localized metadata.
- Comfort reaching into the backend or web stack to unblock yourself end-to-end.
- Time spent at a fast-growing startup or on a high-ownership engineering team.
New York City, NY
Mexico City, Cuauhtémoc, Mexico
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
УдалённоIndianapolis, United States; Ohio City, United States; Chicago, United States
San Francisco, CA | New York City, NY | Washington, DC
San Francisco, CA | New York City, NY
Baghdad, Iraq
ОфисseniorLos Angeles, California; This role requires regular office presence for team collaboration and product training, combined with periodic field travel
San Francisco; London; Seattle; New York City; Toronto
San Francisco, CA | New York City, NY
УдалённоMiami, United States; Allapattah, United States; Atlanta, United States; August, United States; Boston, United States; Bradford, United States; Brighton Beach, United States; Bronx, United States; Brooklyn, United States; Cedarhurst, United States; Chicago, United States; Columbus, United States; Dallas, United States; Denver, United States; Des Moines, United States; Doral, United States; Downtown Miami, United States; Dover, United States; Manhattan, United States; Fall River, United States; Florida, United States; Forest Hills, United States; Fresh Meadows, United States; Greenwich, United States; Hawley, United States; Hollywood, United States; kansas city, United States; Lansing, United States; Las Vegas, United States; Lexington, United States; Little Havana, United States; Little Rock, United States; Lynbrook, United States; Miami Springs, United States; Montogomery, United States; Nassau County, United States; New Bedford, United States; New Jersey, United States; Norwalk, United States; Oregon city, United States; Pittsburgh, United States; Phoenix, United States; Plano, United States; Ridgewood, United States; Salt lake city, United States; Seattle, United States; St. Louis, United States; Washington DC, United States; Wilmington, United States; Augusta, United States; Aventura, United States; Baton Rouge, United States; Boise, United States; Bismarck, United States; Bozeman, United States; Charleston, United States; Chayenne, United States; Coconut Creek, United States; Columbia, United States; Concord, United States; Coney Island, United States; Detroit, United States; Frankfort, United States; Indianapolis, United States; Jackson, United States; Jefferson city, United States; Kansas City, United States; Lincoln, United States; Los Angeles, United States; Montpelier, United States; Nashville, United States; Oklahoma city, United States; Pierre, United States; Providence, United States; Raleigh, United States; Tribeca, Manhattan, United States
ГибридseniorNew York; San Francisco Bay Area, California; Connecticut
San Francisco, CA | New York City, NY; Share intake and triage on a rotation across time zones so every request gets a decision within the defined SLA; Experience working across time zones or across multiple sites to set one global standard
УдалённоseniorGlobal; Ireland; Portugal; United Kingdom; Spain; Brazil; Colombia; South Africa; Canada; To create the best experience for our new hire, this role requires you to be based within UTC−6 to UTC+3
