Location: New York, United States; Manhasset, United States; White Plains, United States; Stewart Manor, United States
Turn your passion for luxury into a career opportunity. Explore the world of premium brands and make a lasting impact in fashion, beauty, jewelry, or automobiles. Join CXG, the global leader in customer experience, and work alongside iconic brand names.
About the Role:
As a luxury brand evaluator, you will step into the world of luxury to discreetly assess customer experiences, providing critical feedback that helps brands refine their services. Whether visiting boutiques, purchasing online, or returning a product, your voice shapes the future of luxury.
• Flexibility - each in-store visit takes approximately 20 minutes, giving you the flexibility to complete multiple assignments.
• Frequent opportunities - perform several missions per month and collaborate with some of the most prestigious brands worldwide.
What you will be doing:
1. Choose your assignments - align your missions with your personal preferences and profile.
2. Visit luxury stores or evaluate online - engage with sales associates in the stores or online from the comfort of your home.
3. Observe carefully - check the ambiance, service quality, and overall customer experience.
4. Provide honest feedback - use our platform to share your observations through questionnaires.
Perks of the Role:
• Collaborate with iconic brands across industries.
• Flexible assignments tailored to your interests.
• Compensation for your time and input, with the potential for reimbursement on purchases.
• A user-friendly platform for managing missions and feedback.
How to Join the CXG Community:
1. Register: sign up at live.cxg.com and confirm your email.
2. Complete your profile: fill out your details to 100% and get verified.
3. Get certified: pass the General Certification to access missions.
4. Apply for missions: explore assignments with brands that excite you.
5. Start evaluating: begin making a difference in the luxury market.
Compensation:
• Non-Purchase Evaluations: Earn a fee based on mission complexity.
• Purchase-Based Evaluations: Reimbursement for approved items as stated in the mission brief.
About CXG
At CXG, we connect premium brands with over 80,000 evaluators across 70 countries. With 12 global offices and almost two decades of CX retail expertise, we’re committed to redefining the customer experience for luxury giants.
Join us and enjoy the flexibility of working on the go with our mobile platform, CXG Live. On this platform, you can seamlessly manage missions, certifications, and feedback.
Requirements
Must be 18 years or older (21 years or older in the United States).
Current customer of premium and luxury brands.
Not currently under contract with any retail brands, to ensure impartiality.
Punctual, organized, detail-oriented, and reliable.
Observant and passionate about customer experience.
No prior experience is required; we value honest feedback from genuine customers.
New York, United States; Manhasset, United States; White Plains, United States; Stewart Manor, United States
Location: East Rutherford, United States; Newark, United States; Jersey City, United States; Carlstadt, United States; Wallington, United States
Turn your passion for luxury into a career opportunity. Explore the world of premium brands and make a lasting impact in fashion, beauty, jewelry, or automobiles. Join CXG, the global leader in customer experience, and work alongside iconic brand names.
About the Role:
As a luxury brand evaluator, you will step into the world of luxury to discreetly assess customer experiences, providing critical feedback that helps brands refine their services. Whether visiting boutiques, purchasing online, or returning a product, your voice shapes the future of luxury.
• Flexibility - each in-store visit takes approximately 20 minutes, giving you the flexibility to complete multiple assignments.
• Frequent opportunities - perform several missions per month and collaborate with some of the most prestigious brands worldwide.
What you will be doing:
1. Choose your assignments - align your missions with your personal preferences and profile.
2. Visit luxury stores or evaluate online - engage with sales associates in the stores or online from the comfort of your home.
3. Observe carefully - check the ambiance, service quality, and overall customer experience.
4. Provide honest feedback - use our platform to share your observations through questionnaires.
Perks of the Role:
• Collaborate with iconic brands across industries.
• Flexible assignments tailored to your interests.
• Compensation for your time and input, with the potential for reimbursement on purchases.
• A user-friendly platform for managing missions and feedback.
How to Join the CXG Community:
1. Register: sign up at live.cxg.com and confirm your email.
2. Complete your profile: fill out your details to 100% and get verified.
3. Get certified: pass the General Certification to access missions.
4. Apply for missions: explore assignments with brands that excite you.
5. Start evaluating: begin making a difference in the luxury market.
Compensation:
• Non-Purchase Evaluations: Earn a fee based on mission complexity.
• Purchase-Based Evaluations: Reimbursement for approved items as stated in the mission brief.
About CXG
At CXG, we connect premium brands with over 80,000 evaluators across 70 countries. With 12 global offices and almost two decades of CX retail expertise, we’re committed to redefining the customer experience for luxury giants.
Join us and enjoy the flexibility of working on the go with our mobile platform, CXG Live. On this platform, you can seamlessly manage missions, certifications, and feedback.
Requirements
Must be 18 years or older.
Current customer of premium and luxury brands.
Not currently under contract with any retail brands, to ensure impartiality.
Punctual, organized, detail-oriented, and reliable.
Observant and passionate about customer experience.
No prior experience is required; we value honest feedback from genuine customers.
Location: Atlanta, United States; Buford, United States; Roswell, United States; Marietta, United States
CXG is a global Customer Experience consulting firm specializing exclusively in serving premium and luxury brands.
We partner with premium and luxury brands to transform experiences for meaningful impact. We provide valuable insights and support them in taking actionable steps toward creating seamless customer experiences that deliver more value.
About the Role:
As a luxury brand evaluator, you will step into the world of luxury to discreetly assess customer experiences, providing critical feedback that helps brands refine their services. Whether visiting boutiques, purchasing online, or returning a product, your voice shapes the future of luxury.
• Flexibility - each in-store visit takes approximately 20 minutes, giving you the flexibility to complete multiple assignments.
• Frequent opportunities - perform several missions per month and collaborate with some of the most prestigious brands worldwide.
What you will be doing:
1. Choose your assignments - align your missions with your personal preferences and profile.
2. Visit luxury stores or evaluate online - engage with sales associates in the stores or online from the comfort of your home.
3. Observe carefully - check the ambiance, service quality, and overall customer experience.
4. Provide honest feedback - use our platform to share your observations through questionnaires.
Perks of the Role:
• Collaborate with iconic brands across industries.
• Flexible assignments tailored to your interests.
• Compensation for your time and input, with the potential for reimbursement on purchases.
• A user-friendly platform for managing missions and feedback.
How to Join the CXG Community:
1. Register: sign up at
live.cxg.com
and confirm your email.
2. Complete your profile: fill out your details to 100% and get verified.
3. Get certified: pass the General Certification to access missions.
4. Apply for missions: explore assignments with brands that excite you.
5. Start evaluating: begin making a difference in the luxury market.
Compensation:
• Non-Purchase Evaluations: Earn a fee based on mission complexity.
• Purchase-Based Evaluations: Reimbursement for approved items as stated in the mission brief.
About CXG
At CXG, we connect premium brands with over 80,000 evaluators across 70 countries. With 12 global offices and almost two decades of CX retail expertise, we’re committed to redefining the customer experience for luxury giants.
Join us and enjoy the flexibility of working on the go with our mobile platform, CXG Live. On this platform, you can seamlessly manage missions, certifications, and feedback.
Requirements
Must be 18 years or older (21 years or older in the United States).
Current customer of premium and luxury brands.
Not currently under contract with any retail brands, to ensure impartiality.
Punctual, organized, detail-oriented, and reliable.
Observant and passionate about customer experience.
No prior experience is required; we value honest feedback from genuine customers.
Location: Scottsdale, United States; Glendale, United States; Chandler, United States; Tucson, United States; Phoenix, United States
CXG is a global Customer Experience consulting firm specializing exclusively in serving premium and luxury brands.
We partner with premium and luxury brands to transform experiences for meaningful impact. We provide valuable insights and support them in taking actionable steps toward creating seamless customer experiences that deliver more value.
About the Role:
As a luxury brand evaluator, you will step into the world of luxury to discreetly assess customer experiences, providing critical feedback that helps brands refine their services. Whether visiting boutiques, purchasing online, or returning a product, your voice shapes the future of luxury.
• Flexibility - each in-store visit takes approximately 20 minutes, giving you the flexibility to complete multiple assignments.
• Frequent opportunities - perform several missions per month and collaborate with some of the most prestigious brands worldwide.
What you will be doing:
1. Choose your assignments - align your missions with your personal preferences and profile.
2. Visit luxury stores or evaluate online - engage with sales associates in the stores or online from the comfort of your home.
3. Observe carefully - check the ambiance, service quality, and overall customer experience.
4. Provide honest feedback - use our platform to share your observations through questionnaires.
Perks of the Role:
• Collaborate with iconic brands across industries.
• Flexible assignments tailored to your interests.
• Compensation for your time and input, with the potential for reimbursement on purchases.
• A user-friendly platform for managing missions and feedback.
How to Join the CXG Community:
1. Register: sign up at
live.cxg.com
and confirm your email.
2. Complete your profile: fill out your details to 100% and get verified.
3. Get certified: pass the General Certification to access missions.
4. Apply for missions: explore assignments with brands that excite you.
5. Start evaluating: begin making a difference in the luxury market.
Compensation:
• Non-Purchase Evaluations: Earn a fee based on mission complexity.
• Purchase-Based Evaluations: Reimbursement for approved items as stated in the mission brief.
About CXG
At CXG, we connect premium brands with over 80,000 evaluators across 70 countries. With 12 global offices and almost two decades of CX retail expertise, we’re committed to redefining the customer experience for luxury giants.
Join us and enjoy the flexibility of working on the go with our mobile platform, CXG Live. On this platform, you can seamlessly manage missions, certifications, and feedback.
Requirements
Must be 18 years or older (21 years or older in the United States).
Current customer of premium and luxury brands.
Not currently under contract with any retail brands, to ensure impartiality.
Punctual, organized, detail-oriented, and reliable.
Observant and passionate about customer experience.
No prior experience is required; we value honest feedback from genuine customers.
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 Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand.
Cluster Infra owns the full lifecycle of compute clusters at Anthropic. We build agent-driven automation for cluster provisioning and lifecycle management across all major cloud providers and our own datacenters. Our systems stand up clusters that are interconnected with high bandwidth, secure-by-default, and able to automatically drain and recover in response to failure. As a Staff engineer on this team, you'll set the technical direction for how Anthropic brings compute online - at a moment when the scale of that compute is growing faster than at almost any company in the world.
Key responsibilities
Own the technical strategy and roadmap for agent-driven cluster lifecycle management - provisioning, updates and decommissioning
Partner across teams to ensure new compute capacity is ingested on time
Align with partner teams on physical build-out and leverage cloud solutions to deliver high-bandwidth inter-cluster connectivity
Collaborate with security owners to ensure clusters are provisioned secure-by-default
Define and drive strategy on cluster scalability, homogeneity and fault tolerance
Work closely with cloud providers and internal research, inference and product teams to shape long-term compute, data, and infrastructure strategy
Establish and evolve operational-excellence practices: incident response, postmortem culture and on-call health
Support the growth of engineers around you through technical mentorship and coaching
Minimum qualifications
Deep expertise in distributed systems, reliability, and cloud platforms (e.g., Kubernetes, IaC, AWS/GCP/Azure)
Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform.
Track record of leading complex, multi-quarter technical initiatives spanning multiple teams or systems
Ability to build alignment across senior stakeholders and communicate effectively at all levels
Preferred qualifications
10+ years of software engineering experience, including time as a technical lead setting direction for a team
Experience operating large-scale compute infrastructure at hyperscale (100+ clusters, 10K+ nodes)
Depth in one or more of: Kubernetes internals, cluster provisioning and management systems, cluster orchestration systems (Mesos, Borg-like)
Experience with cloud networking: VPC design and peering, Shared VPC/Transit Gateway, Cloud Interconnect/Direct Connect, Cloud NAT, cross-cloud private connectivity, BGP and route control, edge load balancing and DDoS mitigation (Cloud Armor / AWS Shield)
Experience with cluster and host networking: CNI (Cilium), eBPF, NetworkPolicy, multi-NIC, sFlow, service mesh (Istio/Envoy/Linkerd, mTLS)
Experience with cluster security: pod security standards and admission control, RBAC and least-privilege IAM, node and container hardening, supply-chain/image provenance
Deep experience with infrastructure-as-code (Terraform, Atlantis), workflow orchestration (Temporal, Argo Workflows)
Skill in quickly understanding systems design tradeoffs and keeping track of rapidly evolving software systems
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$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: Remote - Colombia ; Remote - Costa Rica ; Remote - Mexico
About Backblaze
Backblaze provides reliable, high-availability cloud storage trusted by consumers, SMBs, enterprises, and developers in over 150 countries. Backblaze B2 Cloud Storage supports data-intensive workloads including backup, media, analytics, and modern AI pipelines. Our teams focus on building secure, durable, scalable systems with a strong emphasis on application security from day one and protecting customers to keep them safe.
But while there is a lot to celebrate in our past, there is almost as much opportunity ahead of us.
About the Role
We are seeking an Application Security Engineer to improve application security across the software used to enable Backblaze B2 Cloud Storage and Computer Backup. The primary role is to build security into how the product is used, how data is stored and how customers can use it. This role will require development skills and application security knowledge to build security into the product and new features. Leveraging AI is key.
This is a hands-on role that requires application development knowledge. This role is expected to know and use the latest AI to help with both development and security. The primary requirements include; development in common web languages, application security and AI tool usage.
Leverage AI tools and software for
Building new and maintaining existing software security features
Meeting evolving software security needs in existing software
Developing new components as needed
Perform security assessments and code reviews on internal and external customer-facing applications
Work closely with engineers to remediate security vulnerabilities using AI tools
Develop security automation and tooling to improve security
Support bug bounty program and vulnerability handling
Investigate newly reported vulnerabilities
Determine ways to remediate them
Provide guidance to engineering based on known vulnerabilities found in existing applications
Understanding cryptography and secure authentication
Knowledge of cloud environments and security they provide
Support and develop on large software stack using
Apache Tomcat running across a large number of servers
JavaServer Pages (JSP) containing older features
Node/JavaScript developed features and pages
An architecture split among many different servers – supporting browsers and custom client software
Strong security knowledge across large software stacks running on multiple servers
Ability to reach out and learn about technologies or implementations as necessary
The Right Fit:
Application Development and Security knowledge
AI knowledge and experience using it for development & security
Understanding of: AI Frameworks and tooling, core web security, common web security flaws, coding agents
Strong understanding of OWASP Top 10 vulnerabilities
Experience with security testing tools such as:
SAST / DAST scanners
Fuzzing tools
Vulnerability scanners
Familiar with web technologies: HTTP, REST APIs, etc.
Experience with Web Applications, Cloud Systems and Linux Environments
Determining how new and old security needs can leverage AI workflows and integrations to improve them
AI Coding tools such as Gemini, Claude Code, ChatGPT, Cursor or others
Experience with programming languages such as: Java, JSP, JavaScript, TypeScript, Go, Python and C/C++
Why Backblaze
Build secure software used by companies worldwide
Work at the intersection of AI, data, and cloud storage
Collaborate with experienced engineering, security, product, and QA teams
Competitive compensation and benefits
Remote-first culture supporting work-life balance
At this point, we hope you're feeling excited about the job description you're reading. Even if you don't meet every requirement, we still encourage you to apply. Learning, developing, and growing are key parts of our culture. We're eager to meet people who believe in our mission and can contribute to our team in various ways. We want people to feel comfortable expressing their true selves and to come, stay, and do their best work here.
At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries but further reinforces our commitment to doing the right thing.
We are proud to be an Equal Opportunity Employer.
To understand more about the data we collect and process as part of your application, please view our
Backblaze Employee Privacy Notice
.
#LATAM
Location: Remote
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
About the role:
We are seeking an exceptional Business Development Representative to join our revenue team. This role will report to the Business Development Manager. As a BDR, you own initial outreach to targeted accounts and partners, working in conjunction with the sales and marketing teams.
Where you will work:
Garner is headquartered in NYC, but this position is available for individuals who are comfortable with remote work and occasional travel to HQ.
What you will do:
Generating qualified meetings and pipeline for Garner’s revenue organization
Meet or exceed BDR activity metrics set forth
Work with and leverage sales teammates to develop targeted lists, call strategies, and messaging to drive opportunities
Utilize business and industry knowledge to research accounts, identify key targets, generate interest, identify compelling events, and develop accounts
Conduct high-level discovery conversation in target accounts
Manage, track and report on all activities using Salesforce
Work in collaboration with Growth Marketing to drive attendance at regional and national events
What we're looking for:
1 - 3 years relevant work experience
Positive and energetic phone skills, excellent listening skills and strong writing skills
Inbound and outbound calling experience
Proficient in Salesforce, Outreach, and ZoomInfo
Experience with healthcare a plus
A willingness to “roll up your sleeves” and do whatever is necessary to ensure company success
A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback
This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.
Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time.
What you'll get here
You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission.
At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose.
Compensation Transparency:
The base salary for this position is $70,000 - $75,000. This position is also commission eligible. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use
getgarner.com
and
garnerhealth.com
email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement
here
and to
candidateprotection@garnerhealth.com
.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at
talent@garnerhealth.com
.
Location: Jamaica; Ethiopia; South Africa; Morocco; Haiti; Pakistan
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 high-growth startups, digital agencies, and innovative tech platforms across industries such as SaaS, FinTech, and renewable energy.
Unlike traditional outsourcing, you are placed directly with a client as a valued, in-house team member, with long-term growth opportunities and performance-driven career progression.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We are hiring a Sales Development Representative for a remote B2C solar sales role. You will be responsible for engaging homeowners, generating qualified leads, and booking consultations for solar energy solutions. This is a high-impact, outbound sales position ideal for candidates with strong communication skills and a passion for renewable energy.
This role is perfect for professionals seeking remote sales jobs, entry-level SDR roles, or those with experience in B2C outbound sales, lead generation, or appointment setting.
Key Responsibilities
Conduct high-volume outbound calls to homeowners to introduce solar solutions
Qualify leads based on property details, energy usage, and interest level
Schedule appointments for Solar Consultants/Closers
Handle objections and educate prospects on the benefits of solar energy
Maintain accurate records in CRM systems (e.g., HubSpot, Salesforce)
Meet and exceed daily, weekly, and monthly KPIs (calls, appointments set, conversions)
Collaborate with the sales team to optimize outreach strategies
Stay updated on solar industry trends and product offerings
Requirements
2+ year experience in Sales Development, Telemarketing, or B2C Sales (solar experience is a strong advantage)
Proven experience in outbound calling and lead generation
Strong English communication and persuasion skills
Comfortable working in a high-volume, target-driven environment
Experience using CRM tools like HubSpot, Salesforce, or similar
Reliable internet connection and home office setup
Preferred:
Experience in solar, renewable energy, or home improvement sales
Track record of exceeding sales or appointment-setting targets
Benefits
💻 Fully Remote: Work from anywhere with international teams
🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services
🤝 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
Location: Europe; United States
Workplace: Remote
ABOUT CANTINA
Cantina is a new social platform founded by Sean Parker with the most advanced AI character creator. Our bots are lifelike, social creatures that can interact wherever people are online—across voice, video, and text. Create yourself, imagine someone new, or choose from thousands of characters to share infinitely scalable, personalized content and seamless group chat.
If you’re excited about how AI can shape creativity and social interaction, come help us build what’s next.
ABOUT THE ROLE:
We’re looking for a Research / ML Engineer to join our Speech Team to build state-of-the-art speech systems end-to-end—from data specs through production inference. You’ll drive the model ↔ data ↔ eval flywheel for TTS and adjacent tasks (voice cloning, controllable TTS, voice conversion and more), partnering closely with research, data, and infra to ship fast, reliable, and cost-aware models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems.
WHAT YOU’LL DO:
- Model Building: Architect, implement, pre-train, fine-tune, and post-train/alignment (e.g., GRPO/DPO) for large-scale speech models.
- Project Leadership: Independently lead small research projects while collaborating on larger team initiatives.
- Experimental Design: Design, run, and analyze scientific experiments to advance our understanding of the models.
- Tool Development: Develop and improve dev tooling to enhance team productivity.
- Full-Stack Contribution: Contribute to the entire stack, from low-level optimizations to high-level model design.
- Data Ownership: Define data requirements and collaborate on acquisition, curation, augmentation, labeling quality, and synthetic data strategies.
- Rigorous Evaluation: Design automated objective/subjective evaluations—listening tests, SV/WER/ASR-based metrics, robustness & bias checks, and red-team studies.
- Pipeline Delivery: Harden the training → evaluation → inference pipeline; profile latency, memory, and cost; and meet production SLAs with robust monitoring and rollback.
- GPU Scaling: Partner with infrastructure to run distributed training/inference on cloud fleets and productionize models with reliability and observability.
- Safety & Responsibility: Contribute to safety/consent guardrails and to misuse/abuse mitigation for responsible speech technology.
WHAT YOU’LL BRING:
- Exceptional research/development experience with large scale audio models (>3B models and >500k hours data).
- Exceptional understanding and hands-on experience with transformer architectures and/or diffusion models (inc. distillation and streaming) and/or audio language modelling.
- Strong experience with multi-node and multi-gpu distributed model training.
- Strong software engineering skills with a proven track record of building complex systems
- Strong with PyTorch and performance work (profiling, CUDA/Triton/C++ as needed) and writing reliable production quality code.
- Shipped large scale speech/audio models to production.
- Background in working with large-scale ML data.
- Ability to iterate on data,, and triangulate quality using subjective and objective signals.
- Notable publications and/or open source contributions in speech/audio/ML.
- Experience with voice-cloning, speech-control, voice-generation.
PREFERRED EXPERIENCE:
- Shipped large scale speech/audio models (TTS/VC/ASR) to production.
- Work on large-scale ML systems.
- Experience with audio language modelling, transformer architectures.
- Experience with voice-cloning, speech-control, voice-generation.
- Background in processing large-scale ML data.
- Publications or notable open-source in speech/audio/ML.
COMPENSATION:
When determining compensation, a number of factors will be considered, including skills, experience, job scope, location, and competitive compensation market data.
BENEFITS FOR U.S.-BASED ROLES:
- Competitive salary and generous company equity
- Medical, dental, and vision insurance – 99.99% of premiums covered by Cantina
- 42 days of paid time off, including:
- 15 PTO days
- 10 sick days
- 15 company holidays
- 2 floating holidays
- Generous parental leave & fertility support
- 401(k) retirement savings plan
- Lifestyle spending account – $500/month to use however you’d like
- Complimentary lunch and snacks for in-office employees
- One Medical membership, and more!
Location: Dublin, IE; London, UK; New York City, NY; 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
We are looking for an Incident Response Manager to serve as the operational backbone of how Anthropic handles incidents. When things go wrong, you are the person who makes sure the right people are in the room, the right information is flowing, and nothing falls through the cracks.
The right person for this role brings structure and rigor to high-volume, high-stakes situations without waiting for a playbook to be handed to them. You will work across engineering, product, security, legal, go-to-market, and leadership to ensure Anthropic responds to incidents with speed, clarity, and accountability. This is not a role where you follow existing runbooks; it is a role where you write them, and where you operate effectively even when the runbook does not yet exist.
Responsibilities
Build the incident response management function, establishing the processes, tooling, and operational standards that define how we handle incidents at scale
Serve as an on-call incident commander, driving coordinated response across technical and non-technical stakeholders during incidents of varying severity, including managing multiple active incidents simultaneously
Engage the right people at the right time, with a strong sense of urgency, bringing order and direction to fast-moving, ambiguous situations
Own incident communications end-to-end, from real-time internal coordination to external channels like status pages, direct customer outreach, and stakeholder updates, ensuring they reflect Anthropic's commitments to safety, transparency, and accuracy
Participate in blameless incident reviews, contributing operational context and helping drive follow-through on critical remediations so the same class of incident does not recur
Partner with engineering teams to develop and maintain incident response policies, procedures, and escalation frameworks that scale with Anthropic's growth
Partner with engineering, product, security, legal, and go-to-market teams to continuously improve how the organization detects, responds to, and learns from incidents
You May Be a Good Fit If You
Have 5+ years of experience in incident management, with direct experience managing technical product or infrastructure incidents (not exclusively security or trust and safety)
Have built or significantly shaped an incident response program, ideally at a high-growth startup or in an environment where you had to create structure rather than inherit it
Demonstrate a strong sense of ownership and urgency, with the ability to operate independently and make sound decisions under pressure without waiting for direction
Are comfortable working in unprecedented situations where processes are still being defined and guidance may be incomplete or conflicting, leaving things better than you found them
Have a track record of effective cross-functional collaboration, particularly with engineering, security, legal, communications, go-to-market, and executive leadership
Bring a blameless, learning-oriented mindset to incident reviews, focused on systemic improvement rather than individual fault
Have experience with cloud infrastructure incidents and enough technical depth across the stack to engage meaningfully with engineering teams during response, including comfort navigating distributed systems, monitoring tools, and logs
Are analytically minded, with experience using data (incident metrics, queries, trend analysis) to inform decisions during response and to drive operational improvements over time
Communicate clearly and calmly under pressure, both in real-time coordination and in post-incident written communications
Thrive in high-volume, fast-paced environments and are energized by bringing operational discipline to complex, evolving situations
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
—
$365,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
Anthropic's Human Data Platform team builds systems designed to collect data that improves our models. This includes the infrastructure to simulate real-world environments and tasks, novel interfaces for data vendors to use, and the pipelines that enable researchers to gather high-quality data at scale. As Claude's real-world usage evolves, so do our data needs — and our tooling has to keep pace. You'll work alongside an engineering team that's quickly prototyping and shipping, help make smart bets about where to focus, and ensure we're investing in tooling that scales. You'll work across research teams, data ops, and external vendors, translating what you learn into clear direction on what to build next.
Responsibilities
Own the product direction for our human data tooling, with clear prioritization across labeling interfaces, infrastructure investments, data quality, and operational visibility
Partner with engineering to scope and ship quickly, staying close to the work in a fast-moving prototyping environment
Develop a deep understanding of research and training approaches to identify where tooling investments will have the highest leverage
Identify patterns across one-off requests and push toward reusable infrastructure that compounds over time
Sit in on crowd worker and vendor sessions to systematically understand pain points
Define and track outcome-based KPIs: time-to-launch for new data collection projects, end-to-end data quality scores, and measurable impact on model evaluation scores
Minimum Qualifications
You May Be a Good Fit If You
Believe that advanced AI systems could have a transformative effect on the world and are interested in helping make sure that transformation goes well
Are drawn to ambiguous, high-stakes environments where you’ll play a big role in defining the product strategy
Shipped products where they had to deeply understand technical constraints, not just translate requirements
Experience working directly with research teams, ideally in AI/ML contexts
Are equally comfortable talking to crowdworkers about their workflow and to research teams about data quality methodology
Are a quick study—this team sits at the intersection of a large number of different complex technical systems that you'll need to understand (at a high level) to be effective
Have an interest in how humans interact with AI systems and how to design experiences that elicit high-quality data
Preferred Qualifications
Strong Candidates May Also Have
Experience building data collection tools, annotation platforms, or human-in-the-loop pipelines
Experience working with researchers who are internal users/customers
Good instincts and an eye for intuitive user experiences, particularly those involving complex UI interactions or annotation workflows
Strong project management skills: prioritization, communicating across team/org boundaries
The ideal candidate has the following virtues/values:
Have 5+ years in product management, with experience launching new products and scaling existing products.
Intellectual curiosity without ego: Comfortable not knowing things and asking questions to learn
Autonomous learning: Able to independently figure out how systems work and develop expertise quickly
Researcher EQ: Deep understanding of how researchers think and what motivates them
Product creativity: Ability to see novel product opportunities emerging from research capabilities
Founder mentality: Track record of doing whatever it takes to ship highly technical products
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:
$305,000
—
$385,000 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: Almaty, Kazakhstan
Workplace: OnSite
WHY WORK AT HIGGSFIELD AI?
Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands.
We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.
WHO WE ARE LOOKING FOR
Everyone at Higgsfield is an A-player. We’re looking for teammates who bring:
- A sharp design sense and the ability to turn complex product ideas into fluid, intuitive interfaces.
- Curiosity for the newest AI-driven UX patterns, frameworks, and tools.
- Resilience and focus in a high-intensity startup environment.
- A drive to explore and adopt new frontend frameworks and AI-assisted dev tools.
WHAT YOU WILL WORK ON
- Build the core interfaces of Higgsfield products — from rapid prototypes to production-ready UIs used by millions of people every day
- Turn pixel-perfect designs from Figma into fast, dynamic interfaces where every detail works as well as it looks
- Design and optimize complex UI systems, including timelines, editors, and interfaces with large volumes of video and media
- Develop a scalable frontend architecture and evolve our design system and component library
- Make the interface максимально fast and responsive: minimal bundle size, instant loading, and smooth interactions
- Ensure product quality through unit, integration, and end-to-end tests for key user scenarios
YOUR MUST HAVES
- Experience building complex software and teaming up with others to get it done
- Strong communication, collaboration, and commitment to completing projects
- Advanced expertise in Typescript, React, NextJS, CSS
- Responsive, cross-browser layout & design systems
- Experience optimizing media storage, caching, and delivery performance
- Experience working with Cloud: Vercel, AWS, Cloudflare
- Knowledge of CI/CD, bundlers, profiling, performance optimization
- Willingness to work in a fast-paced startup environment.
THE DEAL
- Top-of-market compensation in USD.
- Meaningful stock options with significant upside.
- Small team, high autonomy, and outsized impact.
- On-site role in our Almaty office (we will relocate you from anywhere).
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 research organization works across the full model development lifecycle, from pre-training and post-training to alignment, interpretability, and safety, each operating at the frontier of AI development. As a Technical Program Manager for Research, you'll define and build the programs that research teams need most. You'll move across research areas like compute, evals, RL environments, and emerging research initiatives, going deep enough in each to understand how researchers work and what they need. You'll identify where the biggest opportunities for impact lie, find the highest-leverage gaps, and build the programs, processes, and tooling that allow researchers to focus on research. This is a 0-to-1 role: you'll explore new domains as priorities shift, determine what each one needs, and create lasting impact where none existed before.
Note: This role may require responding to incidents on short-notice, including on weekends.
Responsibilities
Embed deeply within a research domain to understand the technical landscape, build trust with researchers and technical leaders, and identify the highest-leverage problems to solve, knowing the surface area will shift over time as research priorities evolve
Move fluidly across research areas like compute, evals, RL environments, and emerging research initiatives, picking up new domains quickly and getting to depth fast
Drive end-to-end execution of complex, ambiguous research initiatives spanning multiple teams, often without established playbooks or precedent
Establish processes and frameworks that bring structure to unstructured research environments without slowing researchers down
Lead efforts like large-scale compute resource planning, including allocation, efficiency, and prioritization across research and production workstreams
Drive eval readiness for model launches by standardizing results, shaping eval plans early, improving tooling, and ensuring honest, transparent reporting across research, product, and marketing
Own execution and operational health of RL environments across major training runs, coordinating cross-team trade-offs and feeding insights back into roadmap planning
Equip research leadership to make decisions quickly by going deep on technical tradeoffs and presenting clear, actionable recommendations
Act as the connective tissue between research, engineering, and product teams to reduce chaos and accelerate execution
You May Be a Good Fit If You
Have a background in ML research or engineering with several years of experience building technical programs from scratch, ideally with hands-on exposure to training, evaluation, or large-scale distributed systems
Are a fast learner who can ramp on unfamiliar technical domains quickly and contribute meaningfully to discussions with researchers
Are resourceful, high-agency, and able to navigate ambiguity and shifting priorities to drive progress in fast-moving research environments
Have a track record of operational ownership of complex technical systems, including monitoring, incident response, and performance optimization
Can reason about technical tradeoffs at depth across model architecture, training infrastructure, evals, or compute efficiency, and translate them into clear decisions for leadership
Have excellent stakeholder management skill and the ability to influence senior technical staff through competence and consistent delivery
Are comfortable with high-stakes environments where decisions impact compute spend, model training timelines, and launch outcomes
Are passionate about the potential impact of AI and are committed to developing safe and beneficial systems
Are excited to redefine what technical program management looks like at the frontier of AI research
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: Berlin
Workplace: OnSite
ABOUT PEEC AI
Peec AI is the analytics platform for AI search. People increasingly discover products and make buying decisions through ChatGPT, Claude, Gemini, and Google's AI Overviews instead of traditional search, and most brands have no idea where they show up in those answers. Peec gives marketing, SEO, and growth teams the data to see exactly that: how visible their brand is across AI platforms, how they compare to competitors, and where to win.
We are defining this category, and the market is moving with us. Peec is a Series A company backed by 20VC and Singular, that went from $0 to $15M ARR in 18 months, with a 100+ person team across our Berlin HQ and our New York office.
WHAT YOU’LL DO
- Take ownership of complex backend systems end-to-end - from scoping and architecture to high-quality, reliable delivery
- Design and build robust, scalable APIs and distributed systems that power our products and deliver exceptional performance
- Collaborate closely with Product, Frontend, and Design teams to translate product ideas into well-architected backend solutions
- Push the boundaries of what’s possible with modern backend technologies, driving innovation in both architecture and developer experience
- Contribute to evolving our backend architecture, infrastructure, and developer tooling to support rapid iteration at scale
- Proactively identify opportunities to improve system performance, reliability, and developer experience - and drive those initiatives through to execution
WHAT WE’RE LOOKING FOR
- 5+ years of professional backend engineering experience, ideally in fast-paced startup or high-growth environments
- Deep expertise in Python and FastAPI, with a proven track record of building and scaling production systems
- Experience designing and implementing APIs (REST, GraphQL, or gRPC) that power user-facing products
- Strong experience working with SQL databases (e.g. PostgreSQL), including schema design, query optimization, and data modeling for production systems
- Familiarity with cloud-native architectures, ideally on GCP (e.g. Cloud Functions, Cloud Tasks, Firestore)
- Familiarity with DevOps practices, CI/CD pipelines, and infrastructure-as-code
- Familiarity with Vertex AI and ML specific infrastructure
- Strong communication skills and a high sense of ownership - able to operate with autonomy while staying aligned with team goals
- Some markers of excellence, which could also be non-work related, like having a high FIDE rating
- Most importantly: we care deeply about working with genuinely kind, collaborative, and hard-working people who make the team better through empathy and openness
TECH STACK
- Languages: Python, TypeScript
- Backend: GCP, Vertex AI, Cloud Functions, Cloud Tasks, RabbitMC, Firestore, PostgreSQL, Clickhouse
- AI Models: OpenAI, Claude, Perplexity, Gemini, Llama, etc.
BONUS POINTS
- You’ve personally built and scaled a system (e.g. side project, startup, open-source) that handled significant traffic or complexity, and learned real lessons from it
- Background working on AI products or data-heavy applications
- Academic background in Computer Science or a related technical field
- Experience in starting a company or working at a top-tier high-growth startup
WHAT WE OFFER
- Exciting and challenging work with real impact and ownership at one of Europe’s fastest-growing Series A startups
- Regular team events and off-sites
- Aggressive equity compensation package
- Paid Dinner & Uber home when working late
- The most beautiful office space and work environment in Berlin
Location: San Francisco, California
Fin
, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.
Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.
Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.
What's the opportunity?
We're looking for an
Events Producer
to help deliver Intercom's most important brand events across North America and Europe. You'll join a small, high-performing team that creates memorable experiences showcasing Fin's product innovation and Intercom's leadership in AI.
In this role, you'll partner closely with senior producers to bring events to life—from planning through onsite execution. You'll own key workstreams, collaborate across Marketing and GTM teams, and help deliver exceptional experiences that drive both brand awareness and business impact.
This is an exciting opportunity for someone who thrives in a fast-paced environment, loves solving logistical puzzles, and is eager to grow their event production expertise while working on high-profile programs.
What will I be doing?
Produce and execute Intercom's brand events, including hosted experiences, product launches, conferences, and pop-ups
Own event planning and execution across assigned workstreams, including venue coordination, vendor management, budgets, production logistics, and run of show
Support the delivery of hybrid events with both in-person and livestream experiences
Partner cross-functionally with Product Marketing, Content, Communications, Sales, Customer Success, and R&D teams
Coordinate with production vendors and agency partners to ensure seamless execution
Manage attendee experience, registration, ticketing, speaker logistics, and event operations
Help maintain production timelines, budgets, and project plans across multiple concurrent events
Track event performance and contribute to post-event reporting and learnings
Support flagship programs such as Pioneer and other strategic company events
Help build scalable event processes, documentation, and production playbooks
Travel up to 30% to support onsite event execution
What skills do I need?
3+ years
of experience producing live events, conferences, field marketing events, or brand experiences
Experience managing event logistics from planning through onsite execution
Familiarity with live event production, including AV, staging, run of show, and vendor coordination
Experience working with external vendors, venues, and production partners
Strong project management skills with the ability to prioritize multiple deadlines
Experience collaborating across cross-functional teams
Familiarity with registration, ticketing, and event technology platforms
Excellent organizational skills and attention to detail
Calm under pressure with a proactive, solutions-oriented mindset
Strong communication skills and a passion for creating exceptional attendee experience
Bonus skills & attributes
Experience producing B2B marketing events or conferences
Experience working at a SaaS or technology company
Experience supporting hybrid or livestreamed events
Familiarity with AI tools that improve event planning, production, or content creation
Experience with event platforms (e.g. Cvent, Splash, Bizzabo, Goldcast, or similar)
Multilingual (French or German)
*Proof of eligibility to work in the United States is required.
The base salary range for candidates within the San Francisco Bay Area is $118,00 - $141,900 Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs).
#LI-Hybrid
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at
fin.ai/careers
. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
Policies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our
core values
.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
Know your rights: workplace discrimination is illegal.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
Location: Europe; United States
Workplace: Remote
ABOUT CANTINA:
Cantina Labs is a social AI company, developing a suite of advanced real-time models that push the boundaries of expression, personality, and realism. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning.
If you're excited about the potential AI has to shape human creativity and social interactions, join us in building the future!
ABOUT THE ROLE:
We are seeking an experienced Machine Learning Engineer (MLE) to focus on audio model evaluation, specifically for speech generation and recognition models.
This role involves designing and developing comprehensive model evaluation pipelines for both development and production environments, as well as creating automated dashboards for reporting evaluation results.
As the founding member of our evaluation team, the ideal candidate is expected to leverage their experience to lead our evaluation efforts and play a key role in the future growth of the evaluation team.
WHAT YOU’LL DO:
- Designing model evaluation pipelines for models in development and production
- Designing user studies for subjective model evaluations.
- Converting requirements into measurable metrics.
- Designing and developing automated evaluation dashboard to see model performances and compare results.
- Training new models to capture new and different evaluation metrics.
- Communicating with the model team to help design better models based on the evaluation results.
- Communicating with the data team to help decide the type of data necessary to improve model performance.
- Communication with the product-manager to make sure product requirements are correctly measured.
- Help grow the evaluation team as the founding member.
- Lead the evaluation team in the future.
WHAT YOU’LL BRING:
- Strong experience and intuition for designing metrics that capture model performance.
- Strong experience with designing user studies on Mechanical Turk or similar platforms. .
- Strong experience with model training and fine-tuning for model evaluation.
- Strong statistical knowledge and experience to statistically compare evaluation results and take decisions.
- Very strong engineering and programming skills.
- Experience with training ASR, TTS models.
- Experience at ML teams working on large-scale machine learning problems. (>3B models with >1m hours of data)
COMPENSATION:
When determining compensation, a number of factors will be considered, including skills, experience, job scope, location, and competitive compensation market data.
BENEFITS FOR U.S.-BASED ROLES:
- Competitive salary and generous company equity
- Medical, dental, and vision insurance – 99.99% of premiums covered by Cantina
- 42 days of paid time off, including:
- 15 PTO days
- 10 sick days
- 15 company holidays
- 2 floating holidays
- Generous parental leave & fertility support
- 401(k) retirement savings plan
- Lifestyle spending account – $500/month to use however you’d like
- Complimentary lunch and snacks for in-office employees
- One Medical membership, and more!
Location: United States; United Kingdom; Canada
About Huzzle
At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms across industries such as SaaS, MarTech, FinTech, and EdTech.
Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. This means you work closely with internal teams, contribute to meaningful projects, and have real opportunities for career growth.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We’re looking a Go-To-Market (GTM) Engineer to support high-growth companies in executing and optimizing their revenue strategies. This is a highly technical, cross-functional role that blends sales engineering, marketing operations, and data automation to drive pipeline generation and revenue growth.
As a GTM Engineer, you’ll work closely with sales, marketing, and product teams to build scalable systems, optimize workflows, and implement tools that enhance go-to-market performance.
This is an ideal opportunity for someone looking for a remote tech sales job, RevOps role, or marketing automation career with strong growth potential.
Key Responsibilities
Build, implement, and optimize go-to-market systems and workflows across sales and marketing teams
Manage and integrate tools such as CRMs (e.g., HubSpot, Salesforce), outbound platforms, and analytics tools
Automate lead generation, enrichment, and outreach processes
Collaborate with Sales Development Representatives (SDRs) and Account Executives to improve pipeline efficiency
Develop dashboards and reporting systems to track performance metrics (conversion rates, CAC, pipeline velocity)
Support outbound campaigns through technical setup, A/B testing, and optimization
Maintain clean, structured, and scalable data pipelines
Troubleshoot technical issues across GTM tools and platforms
Requirements
2+ years of experience in GTM Engineering, Revenue Operations, Sales Ops, or Marketing Ops
Hands-on experience with CRM platforms (e.g., HubSpot, Salesforce)
Strong understanding of sales funnels, lead generation, and outbound strategies
Experience with automation tools (e.g., Zapier, Make, APIs)
Proficiency in data handling (Google Sheets, Excel, or SQL preferred)
Familiarity with outbound tools (e.g., Apollo, Outreach, Lemlist)
Analytical mindset with the ability to interpret and act on data
Strong communication skills and ability to work cross-functionally
Experience in SaaS, startups, or high-growth environments is a plus
Benefits
💻 Fully Remote: Work from anywhere with international teams
🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services
🤝 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
Location: United States, Santa Monica, CA
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
This is a hybrid/ onsite position.
For nearly 40 years, Naughty Dog has been crafting best-selling, critically acclaimed games that constantly push the boundaries of narrative, gameplay, and technology. Naughty Dog recently released The Last of Us Part II Remastered as well as a current generation remake of The Last of Us Part I for the PS5. We're also proud to say that The Last of Us Parts I and II are now available for the first time on PC. Currently, we’re busy at the kennel working on Intergalactic: The Heretic Prophet, and we’d love to find talented individuals to join us.
Naughty Dog games have long been lauded for their evocative, character-driven stories and attention to detail. We are committed to innovation within our games and as such have curated some of the top creative and technically innovative minds in the industry. We welcome diverse candidates and believe that a broad range of cultural and life experiences contribute to the overall well-being and success of the studio and the titles we craft together.
What you will do:
Prototyping, implementing, and owning gameplay scenarios, narrative sequences, interactive objects, AI behaviors, and other mechanics and systems.
Communicating with animation, programming, and art departments to effectively produce the assets and code support required for the areas you’re owning.
Fostering team cohesion, advising design leadership regarding communication breakdowns and personality conflicts.
Working with minimal supervision while keeping lead designers and directors well-informed.
What skills you will use:
5+ years of industry experience in Technical Design for games
2+ shipped games
Significant programming ability (Computer Science undergraduate degree preferred)
Deep understanding of narrative principles and how to convey emotion through gameplay
Expertise in 3D math
Fluent in C++, C#, Lua, or other text-based scripting language
Ability to identify and act on opportunities for improvements to tools and workflows that can help the team be more efficient
Self-starter with excellent communication and teamwork skills
Bachelors degree or equivalent
Bonus Skills:
Experience developing third-person action games
Experience with the following areas of design
Behavior Trees
Narrative Gameplay Sequences
Encounter Design
#LI-SP3
The estimated USA base pay range for this zone (Los Angeles area) is listed below. This role may be eligible for additional compensation packages that includes annual bonus and other incentive plans.
$145,100
—
$181,400 USD
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our
Candidate Privacy Notice
for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
East Rutherford, United States; Newark, United States; Jersey City, United States; Carlstadt, United States; Wallington, United States
Atlanta, United States; Buford, United States; Roswell, United States; Marietta, United States
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