Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic’s Inference organization serves Claude to millions of users and enterprise customers, across our own products and the world’s largest cloud platforms, with the speed, reliability, and efficiency that frontier AI demands. The stack that makes this possible is deep and tightly coupled: accelerator kernels, an in-house inference engine that manages the entire token path for both production and research workloads, distributed routing, autoscaling, and capacity management. Every layer affects the others, often in ways that are hard to see in isolation. We build across GPUs, TPUs, and Trainium, and the complexity of building, testing, and shipping inference software grows with every platform we add.
We're looking for a Technical Program Manager to drive the programs that scale it. The work spans four closely coupled areas:
Scaling and infrastructure.
Routing, autoscaling, and capacity management for the serving fleet, and bringing new capacity online.
Velocity.
The toolchains, development environments, and CI/CD that let inference engineers build, test, and ship across every accelerator platform.
Inference engine.
The software between the accelerator kernels and the routing layer that serves every request.
Performance.
Improving throughput, latency, cost, and reliability across the stack, with correctness treated as part of performance.
This is not a status-tracking role. You'll own outcomes end to end, often where no single team is accountable for the whole picture. Much of your value comes from crossing boundaries into Research, Safeguards, Security, Compute, Infrastructure, API, and our cloud and silicon partners, and bringing back the requirements and dependencies that no team sees from inside its own space. There is little process to inherit, and we want to keep it that way: you'll build the minimum machinery the work needs and remove it when it stops helping. And because this is Anthropic, you'll have Claude as a collaborator. We expect TPMs on this team to push hard on what AI-assisted program management and fleet operations can look like.
Key responsibilities
Own the programs that scale Claude’s serving fleet across accelerator and cloud platforms, from early direction through delivery.
Drive new capacity online end to end, working across compute, infrastructure, security, networking, and inference teams so one person is accountable for the whole path.
Build visibility into supply, demand, and utilization with capacity and finance partners, and drive trade-offs among utilization, cost, latency, and reliability to a clear decision.
Lead reliability programs and large migrations without disrupting production traffic or research, and make sure incident follow-ups land in team roadmaps.
Drive the programs that make inference engineers faster: define the productivity metrics that matter, find the bottlenecks, and improve how software is built, tested, and released across platforms, in step with Anthropic’s central Infrastructure org.
Coordinate roadmaps and priorities across the production, research, and safeguards needs that depend on the same teams.
Track performance and efficiency work from opportunity to measured impact in production, with correctness held as a release criterion.
Own inference readiness for model launches alongside our launch TPMs.
Minimum qualifications
7+ years of experience as a TPM, or in an equivalent engineering or SRE lead role, owning large multi-team infrastructure programs end to end in production distributed systems, ML infrastructure, or cloud platforms. You can speak to the outcomes in detail, including where a program slipped and what you did about it.
Technical fluency in large-scale serving infrastructure, including request routing and load balancing, autoscaling, capacity planning, cluster orchestration, deployment and rollout, and observability. You know enough to challenge a design, find the real risk, and add value beyond tracking.
A working understanding of how LLM inference uses hardware (prefill and decode, batching, caching, compute versus memory bandwidth versus interconnect), or a track record of getting deep in an unfamiliar technical domain quickly.
A track record of building program mechanisms from scratch on ambiguous, fast-moving efforts, and of retiring process that has stopped earning its keep.
The ability to drive outcomes across organizations you don't manage, with competing priorities and unclear decision ownership. You read people and rooms well, know when to push and when to listen, and earn the trust of senior engineers and researchers.
Strong written communication, including plans, reviews, and executive updates that many teams depend on.
Low ego and high ownership. You do whatever the program needs, whether that is writing a script, running an incident bridge, or chasing a quota, and you care more about the outcome than about scope or credit.
Care about Anthropic's mission and about serving frontier AI safely and reliably.
Preferred qualifications
Direct experience with LLM or ML inference serving at scale, such as model servers, batching and scheduling, KV caching, quantization, speculative decoding, or multi-model routing.
Experience with accelerator infrastructure (GPU, TPU, or Trainium), including cluster bring-up, hardware qualification, or running one workload across more than one accelerator platform.
Experience managing capacity across multiple clouds or regions, including demand forecasting, headroom policy, cost modeling, or unit economics for compute-heavy services.
Experience with developer productivity, release engineering, or CI/CD at scale, especially for hardware-dependent workloads, and with using engineering metrics to measurably raise velocity.
Experience running performance or efficiency programs, with enough grounding in rooflines, kernels, ML compilers (XLA, Triton, Neuron), numerics, or collective communication to reason about trade-offs with the engineers doing the work.
Familiarity with Kubernetes-based orchestration and job scheduling.
Experience working with research teams and turning their needs into infrastructure requirements.
Practical experience using AI tools in your own workflow, including building automations or agents, and clear ideas about where they help and where they don't.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$290,000
—
$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: San Francisco
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
Container runtimes were designed for general-purpose software workloads. AI inference is not a general-purpose workload.
Running large models at production scale exposes cracks in every layer of the container stack: runtimes unaware of GPU memory constraints, images that take minutes to pull when a model needs to scale to thousands of replicas, and isolation mechanisms that weren’t designed for the multi-tenant serving environments that production AI requires. The tools the industry has relied on for a decade weren’t built for this, and patching around those limitations at higher layers only goes so far.
Baseten owns the entire pipeline, from the moment a developer pushes a model to the moment a request gets a response. That vertical ownership means we can fix these problems at the root. The Runtime Fabric team is doing exactly that: purpose-building the container runtime and storage layers for AI inference workloads, led by some of the world’s top containerd maintainers.
As Engineering Manager for Storage Products on the Runtime Fabric team, you will lead the engineers who build and run the storage products behind that stack: the Baseten Delivery Network (BDN), which sits in the cold start path of every model on the platform, the snapshotters and filesystems that expose model weights and container images to a running container, and the storage that model deployment and training need next. The team is advancing the next generation of caching for inference workloads, from the origin tier to the GPU host. You will own reliability for the area as a measured outcome, report to the head of Runtime Fabric, and stay close to the code through design and code review. If you’ve managed systems engineers and have hands-on experience with caching, content-addressable storage, or distributed filesystems, we’d love to talk.
EXAMPLE INITIATIVES
- How the Baseten Delivery Network (BDN) makes cold starts fast https://www.baseten.co/blog/how-the-baseten-delivery-network-bdn-makes-cold-starts-fast/
- Extending BDN from model weights to container image layers, training checkpoints, and deployment artifacts
- Lazy-loading snapshotters and block-level delivery (EROFS, FUSE, ublk) so a container can start before the full image or model has arrived
RESPONSIBILITIES
Team Leadership and Culture
- Hire and grow a team of 5 to 10 systems engineers with storage, caching, and Linux expertise
- Run the team’s planning and delivery: scope work against the Runtime Fabric roadmap, set priorities, and ship on a predictable cadence
- Provide regular coaching, feedback, and career development support to your direct reports
- Own on-call health for the team’s services, including escalation paths and follow-through on incidents
Technical Direction
- Guide the architecture and evolution of the Baseten Delivery Network: the tiered caching and weight delivery product that makes cold starts 2-3x faster and eliminates thundering herd failures during burst scaling events
- Shape storage products tailored to Baseten’s workloads: extend BDN from model weights to container images, training checkpoints, and deployment artifacts, and define the interfaces that model deployment, training, and customers use to reach them
- Oversee the on-host side of delivery: lazy-loading snapshotters, EROFS and overlayfs layouts, and block-level delivery (FUSE, ublk) for multi-gigabyte files
- Own reliability of the delivery path as a measured outcome: end-to-end instrumentation from snapshotter initialization to first inference request, targets for cold start and cache behavior, tolerance for failing upstream registries and object stores, and safe rollout of changes to a path every customer depends on
- Make the delivery path work across heterogeneous clusters and cloud providers, each with its own object store and network
- Review designs and code across the area, and take on hands-on work where it unblocks the team
- Champion the team’s contributions back to containerd and the snapshotter ecosystem alongside the maintainers on the Runtime Fabric team
Cross-Functional Partnership
- Act as the point of contact for storage across Baseten, ensuring model deployment, training, and platform teams have the integration support they need
- Optimize requirements for the underlying storage platforms with the infrastructure team: object storage, local NVMe and block storage, and network bandwidth per cluster, so that capacity and provider decisions account for what the delivery path needs
- Manage the team’s dependencies in both directions: sequence work that model deployment, training, and infrastructure teams block on, and negotiate interfaces and timelines with the teams and upstream projects the storage path depends on
- Work with the head of Runtime Fabric and product stakeholders to prioritize storage investments based on customer impact and infrastructure reliability
- Communicate team progress, technical trade-offs, and incidents clearly to the team and to leadership
REQUIREMENTS
- Experience managing a team of engineers in a systems, infrastructure, or storage context, including hiring and performance management
- Hands-on background in distributed storage systems, content-addressable storage, or large-scale caching infrastructure
- Strong systems programming background in Go, Rust, and/or C/C++, with the ability to engage credibly in code reviews and architectural discussions
- Working knowledge of the Linux storage stack: filesystems, the page cache, block devices, and mounts
- Understanding of how container images are structured, stored, and delivered at scale
- Strong written and verbal communication skills, with the ability to influence without authority across teams
NICE TO HAVE
- Contributions to containerd/containerd, snapshotter projects (stargz, soci, nydus, overlaybd), distribution/distribution, or closely related open-source projects
- Familiarity with lazy-loading snapshotters or peer-to-peer image distribution
- Experience with EROFS, FUSE, ublk, or io_uring
- Experience building or operating CDN, object storage, or large-scale caching infrastructure
- Experience running storage services on Kubernetes
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is seeking a Director, Infrastructure Lease Accounting to lead technical accounting for our most complex infrastructure and energy arrangements — the data center leases and related structures underpinning our recently significant investment in American computing infrastructure. As we continue our rapid growth, you will ensure the financial statement accuracy of the most technically complex contracts we enter into.
This is an opportunity to be at the heart of one of the fastest-scaling companies in the industry, and to shape how Anthropic accounts for the highest-stakes arrangements underpinning our compute and energy portfolio.
You will serve as the technical accounting subject matter expert for arrangements spanning data center leases (ASC 842), and counterparty or joint-venture structures (ASC 810 VIE analysis). You'll work closely with Real Estate, Legal, Finance, and external auditors to ensure accounting implications are understood before commitments are made.
Responsibilities
Serve as the technical accounting subject matter expert for Anthropic's most complex infrastructure arrangements, leading classification, measurement, and subsequent accounting judgments
Apply ASC 842 to complex lease arrangements, including lease identification, modifications, reassessments, and embedded leases within compute, colocation, and data center contracts
Apply ASC 810 to counterparty and joint-venture structures, including variable interest entity (VIE) analysis for special purpose entities
Apply ASC 815 to energy and infrastructure arrangements, including consideration of embedded derivatives
Lead technical accounting analysis and memo preparation for new arrangements, ensuring positions are well-reasoned, supported, and auditor-ready
Partner with Real Estate, Legal, and Finance teams during contract negotiation and execution to ensure accounting implications are understood before commitments are made
Serve as a trusted finance partner to non-finance stakeholders — explaining the financial statement impact of their decisions in clear, simple terms they can act on
Serve as a key point of contact with external auditors on technical accounting matters within your portfolio
Mentor accounting professionals across the Infrastructure Accounting team on technical accounting matters
Drive process improvements and automation, including leveraging AI tooling, to enhance the efficiency and accuracy of technical accounting work
Minimum qualifications
Have 12+ years of progressive experience in accounting, with meaningful time in a technical accounting role
Hold a Bachelor's degree in Accounting or Finance; CPA required
Possess strong technical accounting knowledge of ASC 842 (leases), ASC 810 (consolidation, including VIE analysis), and ASC 815 (derivatives and hedging), applied to real arrangements
Have a track record of authoring and defending technical accounting memos on complex, judgment-intensive arrangements
Demonstrate strong analytical abilities and comfort working with large, complex contracts and datasets
Have a track record of improving scalable technical accounting processes in fast-moving environments
Are adept at translating technical accounting concepts into financial implications for non-finance stakeholders
Communicate clearly and influence effectively across cross-functional partners — Real Estate, Legal, Finance, and Procurement
Have experience partnering with engineering, infrastructure, or operations teams to improve financial reporting and cost transparency
Preferred qualifications
Background in a Big 4 technical accounting practice (SEC reporting / technical consultation) combined with industry experience
Experience at hyperscalers, utilities, or energy companies with meaningful PPA, REC, or commodity-arrangement exposure
Experience with renewable energy contracts, carbon markets, or related clean-energy accounting frameworks
Exposure to data center and compute-related infrastructure arrangements (including colocation, dark fiber IRUs, and equipment leases)
Experience with lease accounting software and derivative / hedge accounting systems at scale
SQL proficiency for querying and analyzing large contract and accounting datasets
Knowledge of AI/ML infrastructure and associated cost structures
Experience applying AI tooling (including Claude) to technical accounting research, memo drafting, or close automation
Proven ability to navigate ambiguity and drive results in rapidly changing environments
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:
$230,000
—
$300,000 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: Netherlands; Mexico; Israel; United Kingdom; Portugal
At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed.
And now we are looking for a
Senior Silicon Physical Design Engineer
to join us as part of our team.
About the role
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
As a SoC Physical Design Engineer, you will collaborate with functional design, Design for Testing (DFT), architecture, and packaging engineers. In this role, you will solve technical problems with innovative micro-architecture and practical logic circuits solutions, while evaluating design options with optimized performance, power, and area in mind.
The AI and Infrastructure team is redefining what’s possible. We empower customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity.
We're the driving force behind groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future.
Work Environment
Fully remote role. Flexible schedule with participation in team ceremonies and cross-functional collaboration.
As a qualified expert, You will
Use problem-solving and simulation techniques to ensure performance, power, and area (PPA) are within defined requirements.
Collaborate with cross-functional teams to debug failures or performance shortfalls and meet program goals in lab or simulation.
Design chips, chip-subsystems, or partitions within subsystems from synthesis through place and route, and sign off convergence, ensuring that the design meets the architecture goals of power, performance, and area.
Develop, validate, and improve Electronic Design Automation (EDA) methodology for a specialized sign off or implementation domain to enable cross-functional teams to build and deliver blocks that are correct by construction and ease convergence efforts.
We’re looking for you if you have
Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
5 years of experience with System on a Chip (SoC) cycles.
Experience with advanced design, including clock/voltage domain crossing, DFT, and low power designs.
Experience in high-performance, high-frequency, and low-power designs.
Bonus Points
Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
Experience with scripting languages such as Perl, Python, or Tcl.
What’s in it for You
Reveal great tech solutions
Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling clients growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients.
Experience an agile and flexible working environment
Work fully remote around the globe, or in a hybrid work model from our office hubs which are equipped with everything needed for comfortable work. Enjoy a flexible working schedule and create work and rest balance for yourself. Empower yourself with a stable workload and a stable income, focusing on lasting cooperation and high-performance culture.
Embrace the opportunity for personal and professional growth
Take advantage of performance review and career path. Elevate your skills with mentorship program, personal development plan, and individual learnings through the corporate library, public speaking support, and more.
Feel cared about
Be among like-minded people and feel supported with collaboration, open communication and mutual respect. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values.
Location: Austria; Switzerland; Spain; Portugal; Germany; Serbia
About Huzzle
At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team.
Role Type: Full-time
Engagement: Independent Contractor
About the company
Our client is a high-growth sales acceleration partner specializing in outsourced sales development and lead generation for complex B2B sectors, including FinTech, HealthTech, and Manufacturing. With over 13 years of experience, the team serves ambitious mid-market and enterprise brands across the UK, Europe, and North America. They empower global businesses to scale revenue through a consultative, data-driven methodology that blends expert human outreach with a cutting-edge sales technology stack.
The team operates with a mission to transform stagnant pipelines into sustainable growth, utilizing native-language experts to bridge international markets. Driven by a culture of continuous development and performance-based results, they prioritize high-level C-suite engagement and measurable ROI. Candidates will join an environment that combines start-up energy with enterprise-level maturity, focusing on innovation, professional sales skills, and a "selling at a higher level" mindset to solve complex acquisition challenges for world-class brands.
Job Summary
Are you a fluent German speaker with a passion for driving high-level business growth? This is an opportunity to join a well-established leader in the outsourced sales sector with over 15 years of proven success. You will act as a strategic partner for clients, identifying new business opportunities and opening doors within complex industries. If you are a driven professional looking to master the art of sales development within a highly structured and supportive environment, this role offers the perfect platform for your career to thrive.
Key Responsibilities
Conduct high-volume outbound prospecting, averaging 50 calls per day to engage key decision-makers.
Research and identify new business opportunities within the German-speaking (DACH) region.
Secure a minimum of 10 qualified outbound opportunities per month to fuel the sales pipeline.
Maintain meticulous records and manage your lead pipeline using Salesforce.
Collaborate with internal teams to refine messaging and optimize sales methodologies.
Requirements
Native or professional fluency in German (both written and verbal).
High level of English proficiency.
A minimum of 2 years of experience in B2B sales or a dedicated SDR role.
Proven ability to thrive in a target-driven environment.
Strong communication skills and a professional phone manner.
Ability to work UK/EU business hours (9:00 AM – 5:00 PM).
Nice-to-Haves
Prior experience selling within the Manufacturing or Engineering sectors.
Familiarity with the Salesforce ecosystem.
Experience working within an agency or outsourced sales environment.
Benefits
💻 Fully Remote: Work from anywhere with international teams
🤝 Peer Community: Connect with high-performing sales professionals in our network
🧭 Ongoing Support: Receive guidance from Huzzle before and after placement
💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals
Контент-менеджер превращает медиаплан и CRM-план в опубликованный контент: рассылки, тексты, баннеры и материалы на сайте и в приложении. Он отвечает за то, чтобы коммуникации выходили вовремя, без ошибок и в едином tone of voice.
Проектировать и развивать игровую экономику: источники и стоки валют, цены, награды, прогрессию, дефициты и точки монетизации. Связывать экономику с удержанием, прогрессией и монетизацией, проверять решения на метриках и итеративно их улучшать.
Разработка и развитие клиентской части продукта на React — от архитектуры и управления состоянием до production-ready UI с реальными пользователями. Проектирование масштабируемой frontend-архитектуры, выбор технологических решений и формирование стандартов разработки.
Location: San Francisco, California
Workplace: Hybrid
ABOUT SENTRY
Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building.
Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future.
ABOUT THE ROLE
At Sentry, Support is an engineering discipline. Our customers are developers, and they expect answers from people who can read their stack trace, open the SDK source, and tell them what's actually wrong.
We're hiring a Senior Manager to lead Support Engineering. You'll run the team that handles everything from a single developer's SDK question to a production incident at one of our largest enterprise customers. You'll also help drive how we use AI in support: what systems are used, how they best help customers, enable the teams, and how we know the answers they give are right and forward looking.
This is a hands-on leadership role. You'll manage people, set the support strategy, get face to face time with customers, while also getting into tickets when it matters.
IN THIS ROLE YOU WILL
Lead and grow the team
- Manage and coach a team of Technical Support Engineers
- Set clear expectations for technical depth, response quality, and ownership, and give direct feedback
- Design a coverage model that works across time zones, including on-call and escalation paths
- Build career paths for Support Engineers who want to go deeper technically, move into management, or move into different teams and practices
Own support outcomes
- Own and report the team's core metrics: CX, time to resolution, escalation rate, and more
- Use support conversations as a signal: find the top drivers of tickets and get them fixed in the product, the docs, internal operations, or the SDKs, not just answered faster
Run AI-assisted support
- Own the roadmap for our support agents: which request types they handle, what context they need, and when they hand off to a person
- Set the quality bar for agent answers and the process for catching incomplete ones
- Decide where automation is worth building and where it isn't, based on data
Handle escalations and partner across Sentry
- Run the escalation process with Engineering: make sure bugs reach the right team with a reproduction and clear impact, and that customers hear back
- Be the support lead on high-stakes enterprise issues, working with Customer Success, Solutions Engineering, and Sales
- Bring a clear picture of customer pain to Product and Engineering, backed by numbers
YOU'LL LOVE THIS JOB IF YOU
- Think great support is an engineering problem, not a staffing problem
- Want to build the team and the systems at the same time
- Can debug a tricky SDK issue yourself and also explain to a VP why their incident took four hours
- Would rather fix the cause of 200 tickets than answer them faster
- Have strong opinions on where AI helps in support and where it makes things worse, and be willing to discuss this at length.
QUALIFICATIONS
- 8+ years in technical support, support engineering, or software engineering at a SaaS or developer tools company
- 3+ years managing technical support engineers, including hiring and growing a team
- Technically credible with senior engineers: comfortable reading code in at least a few of Python, JavaScript/TypeScript, Java, or Ruby, and debugging across frontend, backend, and infrastructure
- Solid understanding of distributed systems, APIs, and how observability tools (errors, tracing, logs) fit into them
- Hands-on experience running AI or automation in a support org, and a clear view of its failure modes
- Track record of using support data to drive product and process changes
- Clear, direct written communication with customers, executives, and engineers
Bonus
- Experience at a developer tools or observability company
- Former software engineer
- Managed a team spread across multiple time zones
- Open source contributor or maintainer
The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $160,000 to $180,000. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs.
EQUAL OPPORTUNITY AT SENTRY
Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible.
If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io.
Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.
Location: Remote, Canada; Remote, United States
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
Cloud Platform Engineer
An overview of this role
As a Cloud Platform Engineer on the Runway team, you'll help design, build, and maintain the infrastructure and developer tooling that powers our engineering organization. You'll advance our Kubernetes-based platform, mature our GitOps practices, and expand infrastructure as code adoption across the business. This hands-on role brings together infrastructure, automation, and developer experience, helping application teams deploy and operate their services.
What you’ll do
Operate and improve production Kubernetes clusters across cloud environments, managing upgrades, scaling, and reliability throughout the cluster lifecycle.
Own and extend Argo CD-based GitOps workflows, maintaining ApplicationSets, managing sync policies, and enforcing deployment standards across environments.
Write, review, and maintain reusable Terraform modules, with clear practices for state management and drift detection.
Monitor platform health, respond to incidents, conduct post-mortems, and improve availability, performance, and observability.
Collaborate with application teams to onboard services, and create documentation, runbooks, and self-service tooling that improves developer productivity.
Implement role-based access control, network policies, and secrets management to meet infrastructure security and compliance requirements.
Integrate platform capabilities with continuous integration and continuous delivery (CI/CD) pipelines to support end-to-end delivery workflows.
What you’ll bring
Experience operating Kubernetes in production and working with at least one major cloud provider: Amazon Web Services, Google Cloud, or Microsoft Azure.
Experience with Argo CD or comparable GitOps tooling, such as Flux.
Proficiency in Terraform for cloud infrastructure provisioning, including remote state, workspaces, and module design.
Ability to write scripts and automation in Python, Bash, or Go.
Familiarity with Helm for Kubernetes package management.
Understanding of networking fundamentals, including the Domain Name System (DNS), load balancing, ingress, and service mesh concepts.
Clear written and verbal communication, with the ability to document systems and collaborate across teams.
Optional: experience with managed, multi-cluster, or multi-region Kubernetes, service meshes, policy as code, observability, or Kubernetes-native infrastructure as code; open source or platform tooling contributions; or relevant certifications.
About the team
The Runway team builds and maintains infrastructure and developer tooling for GitLab's engineering organization. Its work centers on a Kubernetes-based platform, GitOps delivery practices, and infrastructure as code. The team collaborates with application teams to onboard services and improve developer productivity through documentation, runbooks, and self-service tooling.
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our
benefits
and
equity
. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$115,000
—
$194,000 USD
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: San Francisco, CA; Seattle, WA; San Diego, CA; Los Angeles, CA
Workplace: OnSite
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We’re hiring a results-driven account manager to own and accelerate the adoption, retention and growth of our customers. As a critical member of our post-sale team, you will be the primary commercial point of contact for a key segment of our customers. You will act as a trusted commercial advisor, focused on building lasting partnerships, ensuring customers realize the full value of LangChain, and driving usage, renewal and expansion of their investment. Your success will be directly measured by your impact on customer retention and net revenue retention.
WHAT YOU'LL DO
- Manage the entire customer lifecycle post signature for a portfolio of commercial customers, from adoption to contract execution, ensuring high retention rates.
- Develop and maintain a rolling forecast of your portfolio and consistently meet or exceed quarterly and annual renewal and net retention targets.
- Proactively identify and mitigate churn risk by understanding customer health, monitoring product usage, and addressing commercial obstacles.
- Uncover and execute on expansion opportunities by understanding customer needs, aligning them with new features and products, and articulating the incremental value.
- Build and nurture lasting relationships with key stakeholders, from technical users to economic buyers.
- Act as the voice of the customer, synthesizing feedback on value, product gaps, and business outcomes to inform the product roadmap and collaborate with Product and Engineering teams.
- Partner closely with Sales, GTM Engineering, and RevOps teams to present a unified post-sale experience and ensure a seamless customer journey.
- Lead commercial negotiations, structure renewal contracts, and manage quoting and procurement processes to ensure favorable terms for both the customer and LangChain.
WHAT WE'RE LOOKING FOR
- 5+ years of experience in a quota-carrying, customer-facing role such as Account Management, Customer Success, or Renewals Manager, preferably within B2B SaaS.
- A proven track record of success in meeting and exceeding retention and expansion quotas (e.g., Gross Renewal Rate, Net Revenue Retention).
- Strong commercial acumen and negotiation skills, with experience managing complex, multi-stakeholder renewal cycles.
- Strong technical aptitude and the ability to understand and articulate the value of complex technical products. Familiarity with the modern AI/LLM stack is a significant plus.
- Exceptional communication and presentation skills, with the ability to build rapport and convey value to diverse audiences, from technical users to executive decision-makers.
- A deep empathy for the customer's business objectives and a passion for helping them achieve their goals through our platform.
- Proficiency with CRM software (e.g., Salesforce) for pipeline management and forecasting.
- Ability to operate independently with a high degree of autonomy in a fast-paced, ambiguous environment.
(PREFERRED)
- Direct experience at a high-growth, developer-first, or AI/ML infrastructure company.
- Experience managing renewals in a consumption or usage-based pricing model.
Location: US West Coast
Compensation:
- $230K OTE + equity
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: United States; United Kingdom; Spain; Germany; The Netherlands
Workplace: Remote
ClickHouse is focused on growing a vibrant user community and becoming a Cloud-first
company. We are looking for a Product Manager experienced in developing security features for ClickHouse. This is an exciting opportunity to work with a popular open-source project to extend
and deepen its core capabilities and to develop cloud-native extensions that delight developers
and data analysts across many use cases and market segments. If you are a doer with a “can
do” mentality and a bias for action, we would love to hear from you.
WHAT YOU WILL BE DOING:
- Understand the real-time analytics and cloud database markets, competition, and technology trends in depth
- Engage with the ClickHouse open-source user community and ClickHouse Cloud customers to understand current and aspirational use cases for ClickHouse core database
- Distill and prioritize feature requests and issues into clear priorities for net-new capabilities and improvements
- Work with engineering teams to scope and refine approaches to solving customer problems, both in the core database and in ClickHouse Cloud offerings
- Set clear measurable goals around customer success, and use data-driven approaches to ensure new capabilities meet customer needs
- Stay up-to-date on the state of the market and competitive landscape to identify needed features and areas of improvement for ClickHouse that align with the roadmap and general requests received by our community and customers
- Work with partners to grow ClickHouse awareness and visibility
WHAT YOU BRING ALONG:
- Proven experience with database security principles and best practices
- Knowledgeable and passionate about data engineering markets - data warehousing, data analytics, security, and observability
- Strong vision around where these markets are headed, and what it takes to become a leader in this space
- Previous experience with ClickHouse or a highly related OLAP technology at a deeply technical level
- Previous experience with open-source projects, ideally as a product manager
- Passionate about building enterprise capabilities that are powerful yet easy to use
- Excellent written and verbal communication skills
- Ability to influence multiple stakeholders without direct authority
- Comfortable working with ambiguity and evolving based on business needs
- Ability and desire to work with customers or community members, providing technical guidance and support during their POC.
BONUS POINTS FOR:
- Previous contributions to open-source projects
- Engineering experience, ideally around distributed/cloud systems in C++
- Experience effectively working remotely in a global, distributed organization
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: Melbourne
The Role
You’ll own a net-new enterprise territory in Melbourne. Most of your number comes from accounts that don’t buy from us yet.
New business usually starts with a team already running ClickHouse — open source, or a Cloud account someone expensed — until a bill or a security review pushes the conversation up to the platform team and the budget owner. Common triggers: an Elasticsearch or Splunk bill that’s hard to defend, a warehouse that can’t serve a customer-facing feature fast enough, an AI product querying tens of billions of rows.
You’ll carry a small set of existing accounts alongside the hunt, where growth comes from new teams inside an account that already buys from us. One team lands a workload, it works, and four other teams have a similar problem. But the bulk of this role is finding and opening accounts that aren’t on our map yet.
What You Will Be Doing
- Own the full sales cycle for new accounts in your territory — first conversation through security review, procurement, and close, on Cloud commitments and multi-year committed spend.
- Build your own pipeline. Self-sourced outbound is the primary input to this territory, not a supplement to inbound.
- Find and convert existing ClickHouse usage in new accounts. Unmanaged open-source deployments and self-serve Cloud accounts are the highest-yield source of new pipeline in this segment.
- Multi-thread across the data platform team, the budget owner, security, and the executive sponsor rather than relying on a single champion.
- Work with your Solutions Architect through the technical evaluation. They own the technical win, you own the commercial strategy and the close.
- Run the procurement path: security questionnaires, legal redlines, vendor onboarding, and BYOC or private-deployment requirements, including Australian data residency where it’s required.
- Give your champion the internal business case — TCO comparison against the incumbent, migration plan, and risk mitigation.
- Grow the accounts you land by mapping the remaining teams and use cases and building an expansion plan against them.
- Watch consumption trends across your accounts and engage early when usage flattens or spikes. Both are signals.
- Keep Salesforce accurate and submit a forecast leadership can plan against.
- Participate in the developer community in your territory: meetups, conferences, and events across Melbourne.
What You Bring
- 6+ years selling technical infrastructure to enterprise buyers — databases, data platforms, cloud infrastructure, observability, or developer tooling.
- A track record of self-sourced pipeline. You can explain your weekly prospecting approach and what actually works for you.
- Experience selling into Melbourne and Victorian enterprise accounts, and familiarity with how procurement and security review run here.
- A track record closing complex deals that went through security review, legal, and procurement.
- Enough technical fluency to hold an architecture conversation. You don’t need to write SQL, but you should be able to explain why a company moves a workload off Elasticsearch.
- Experience with consumption-based or usage-metered commercial models, where revenue moves with usage between contract events.
- Experience selling into developer-led, bottom-up adoption as well as top-down.
- Ability to orchestrate people who don’t report to you — Solutions Architects, executive sponsors, partners, product managers.
- Comfort building a territory from scratch rather than inheriting mature coverage.
- Accurate forecasting, including when the number is bad.
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: Beverly Hills, CA
What the Role Is
Babylist is seeking an
Assistant Showroom Manager
to help lead our flagship Beverly Hills showroom, a hands-on role where people management, guest experience, and daily operations come together. As second-in-command, you’ll support the Showroom Manager with scheduling, coverage, and guest flow, and set the tone on the floor by guiding families through their visit, making expert recommendations, and empowering your team to deliver thoughtful, personalized service. You’ll also build and develop the team, from hiring and onboarding to coaching, celebrating growth, and having the tough conversations that help people improve. Your goal is a showroom that feels inviting and organized, where every family leaves feeling supported. When the Showroom Manager is away, you step in as acting Showroom Manager so the showroom runs smoothly and the team feels supported and inspired.
Who You Are
You’ve led a retail team hands-on
: hiring, training, scheduling, and managing performance (4+ years of retail management)
You’re comfortable with tough conversations
: giving direct feedback, coaching toward improvement, and recognizing growth
You can run a busy floor on your own
: you set priorities, solve problems in the moment, and keep guest flow moving
You deliver a personalized, memorable guest experience
and empower your team to do the same
You keep a space organized and welcoming
: visual merchandising, inventory standards, and showroom cleanliness
You can work weekends, evenings, and flexible shifts
as the showroom schedule requires
You can stand for 8-10 hours per shift and lift up to 30 lbs
, with or without reasonable accommodation
You’re warm and respectful with every family, however they were created
You naturally reach for AI in your work — at Babylist, every team uses AI daily. You’re already using it to move faster and improve your output, and you stay curious about what’s coming next.
How You Will Make An Impact
Run daily operations with the Showroom Manager: scheduling, coverage, and guest flow
Greet guests, answer questions, and make thoughtful product recommendations on the floor
Recruit, onboard, and train new staff, then coach them with ongoing feedback
Keep merchandising, inventory, and cleanliness at Babylist brand standard
Step in as acting Showroom Manager when needed
Help plan and run VIP appointments, events, and activations that bring the Babylist brand to life
Why This Role
Your coaching directly shapes how families are treated, every day
You’ll be trusted to run the showroom when the manager is away, not just cover for them
You’ll work on VIP appointments, events, and activations, not only the daily floor
About Compensation
We use a market-based approach to compensation. The starting salary range for this role is:
$67,200 to $80,700
Your starting salary will be based on your location, experience, and qualifications, with increases over time tied to performance, role growth, and internal pay equity.
Who We Are
Babylist is the leading platform for expecting and new families — and our showrooms in Beverly Hills and NYC are where that mission comes to life in person. Since opening in 2023, we've welcomed thousands of families to explore gear, build registries, and feel truly supported. The people who work in our showrooms are the face of that experience. If you love creating meaningful moments and want to be part of something that actually matters to the families you serve, this is the team.
Our Ways of Working
This is a fully on-site role at our Beverly Hills showroom. Please apply directly through this posting — to protect the guest experience,
we ask that you don't call, email, or visit the showroom with hiring inquiries.
Thanks for keeping things smooth!
Why You Will Love Working At Babylist
Our Culture
We show up for guests and for each other — the team here genuinely cares
We build real relationships with families during one of life's biggest moments
We move fast, stay curious, and use tools (including AI) to make our work better
Our Beverly Hills location is beautiful, welcoming, and one-of-a-kind
Growth & Development
We invest in the people who show up and want to grow
Opportunities to expand your retail and guest experience skills in a mission-driven environment
Performance-based advancement as Babylist's physical retail presence grows
Benefits
Competitive salary paid weekly
Company-paid medical, dental, and vision insurance
Free employee parking in Beverly Hills (valued at $200–300/month)
35% employee discount at Babylist store
401(k) with company match and flexible spending accounts
Paid parental leave and PTO
Important Notices
Recorded Interviews.
Babylist uses an interview recording tool to record and transcribe interviews for evaluation purposes in accordance with applicable privacy laws. By participating in an interview, you consent to this recording and transcription.
Interview Integrity.
AI is part of how we work at Babylist. We expect you to use it too. Your application and interviews should still reflect you and your own thinking. We'll tell you when AI is encouraged. Misrepresentation at any stage may result in removal from consideration for this and future roles.
How We Review Applications
We use AI throughout our hiring process to help review, screen, and assess applications. These tools support our team's review; they do not replace it, and every hiring decision is made by a person.
Connections at Babylist.
If you have a family member or close personal relationship with a current Babylist employee, please let your recruiter know. This helps us keep our process fair and transparent for everyone.
Protect Yourself from Scams.
All official outreach comes from the Babylist Talent Team via @babylist.com email addresses only. We will never ask for payment or personal financial information. If you receive outreach via WhatsApp, Telegram, or a non-Babylist email, it's not us. Verify open roles at babylist.com/careers.
ГибридSan Francisco
San Francisco, CA
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
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