Location: Remote US Based
EPIC Insurance Brokers & Consultants is one of the fastest‑growing insurance brokerage and consulting firms in the United States. Founded in 2007 and headquartered in New York City, EPIC has more than 3,000 employees across 60+ offices nationwide, combining national scale with local market expertise.
Our continued growth is fueled by people who bring an owner mindset, inspire trust, think big, and drive results. If you are looking for a long‑term career with a collaborative, growth‑oriented organization, EPIC may be the right fit.
Position Summary
The Senior Client Manager partners closely with Producers and Client Executives to manage and service a book of employee benefits clients. This role is responsible for renewals, vendor marketing, plan analysis, compliance support, open enrollment, and ongoing client relationship management.
The ideal candidate brings strong employee benefits brokerage experience, consultative client skills, and the ability to manage complex accounts in a fast‑paced environment.
Key Responsibilities
Serve as the primary client contact and subject matter expert for employee benefits accounts
Manage day‑to‑day client service, escalations, and complex coverage or compliance inquiries
Analyze client census and experience data for new and renewal business
Conduct carrier marketing, obtain quotes, compare plan designs, and evaluate alternatives
Present recommendations to clients, including senior HR and leadership stakeholders
Negotiate premiums, plan terms, and commissions with carriers and vendors on behalf of clients
Lead open enrollment planning and execution, including employee communications
Prepare client presentations, proposals, and benefit summaries
Support Producers with sales activities and new business development
Maintain accurate documentation in agency management systems and CRM tools
Core Competencies
Client Service & Consulting
Employee benefits strategy and advisory support
Medical, dental, vision, life, disability, and ancillary benefits knowledge
Carrier negotiation and vendor management
Compliance support related to state and federal regulations
Leadership & Collaboration
Partner effectively with Producers, Client Executives, and service teams
Mentor junior staff and support team workflows
Manage multiple deadlines, priorities, and client deliverables
Qualifications
5+ years of experience in employee benefits account management with a brokerage, consulting firm, or health insurance carrier
Strong understanding of benefits renewals, plan design, and carrier markets
Experience supporting mid‑market or large group employee benefits clients preferred
Proficiency with Microsoft Excel, Word, and PowerPoint
Ability to thrive in a deadline‑driven, client‑facing environment
Excellent communication, organization, and problem‑solving skills
Licenses & Certifications
California Life and Health License; Preferred, or willing to obtain within 90 days of hire date
Professional designations such as CEBS, PHR, BGA, or CLU preferred
Compensation
The national base salary range for this position is $110,000 – $140,000, exclusive of bonuses or benefits. Final compensation will be based on experience, skills, certifications, location, and internal equity.
Why EPIC?
EPIC offers a comprehensive and competitive total rewards package, including:
Generous paid time off and company holidays
Paid parental leave and family‑supportive benefits
401(k) with company match
Medical, dental, vision, wellness, and EAP programs
Professional development, tuition reimbursement, and mentorship
Employee recognition programs and referral bonuses
Employee Resource Groups and inclusive culture
EPIC fosters a 50/50 culture that values both production and service excellence—and we actively invest in our people’s growth.
Equal Opportunity Employer
EPIC embraces diversity in all its forms and is committed to creating an inclusive work environment where every employee feels valued, respected, and empowered.
California Applicants:
View your privacy rights here:
https://www.epicbrokers.com/wp-content/uploads/2025/01/epic-ca-employee-privacy-notice.pdf
#LI‑MS2
#SeniorClientManager
#EmployeeBenefits
#BenefitsBrokerage
#BenefitsConsulting
#AccountManager
#InsuranceCareers
Location: Remote
Workplace: remote
ABOUT YOU
We are looking for a User Acquisition (UA) Manager who is data-driven, proactive, collaborative, and execution-focused to join our Marketing / Growth team. The best candidate will thrive in a fast-paced, highly collaborative, and exceptionally dynamic setting and be excited to plan, launch, and optimize paid media campaigns that grow users and revenue for Xsolla-supported titles and products.
Strong analytical thinking, performance marketing expertise, and stakeholder communication are essential, along with experience in mobile and/or PC/console game marketing, growth marketing, or performance advertising. The ability to manage multiple campaigns at once, prioritize quickly, and turn insights into action will be key to your success in this role.
If you’re passionate about scaling marketing performance through smart testing and optimization and love gaming—especially understanding what motivates players and how creative + targeting + measurement come together to drive growth, we would love to hear from you!
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
Responsibilities:
Support and help execute day-to-day user acquisition campaigns across key paid channels (Meta, Google/YouTube, LinkedIn, Mobile
DSP
's) in alignment with product goals and growth targets.
Plan, launch, and optimize performance campaigns across B2B and B2C objectives, driving measurable outcomes like leads, installs, registrations, purchases, and
ROAS
.
Contribute to a structured testing roadmap across targeting, creative concepts, bidding strategies, and landing flows, helping prioritize tests and document results.
Monitor campaign performance regularly; flag performance shifts and surface optimization recommendations (budget pacing, creative rotation, audience adjustments, bid changes) to senior team members.
Work closely with Art and Design teams to help brief and iterate on ad creatives, tying feedback to performance data and campaign learnings.
Collaborate with Product and Analytics stakeholders to support accurate tracking setup (UTMs, pixels, SDK events, attribution tools) and ensure campaigns are measurable end-to-end.
Contribute to recurring performance reports (weekly/monthly) with clear summaries of what's working, what isn't, and suggested next steps, with support from senior teammates as needed.
Assist with budget tracking and spend pacing across campaigns, flagging discrepancies and helping ensure performance stays on target.
Keep campaign documentation, learnings, and best practices organized and up to date to support team efficiency and institutional knowledge.
Coordinate with cross-functional teams to help ensure campaigns align with product launches, promotions, and key seasonal moments.
Qualifications & Skills:
2+ years of experience in Performance Marketing, Paid Media, or Growth Marketing with hands-on exposure across B2B and/or B2C campaigns; some familiarity with mobile UA is a plus.
Hands-on experience managing campaigns across one or more major advertising platforms (Meta Ads Manager, Google Ads/YouTube, or LinkedIn Ads) with growing comfort across multiple channels.
Working knowledge of performance metrics across B2B (CPL,
MQL
, pipeline contribution,
CAC
) and B2C (
CPA
,
ROAS
,
LTV
, conversion rates) contexts, with the ability to use data to flag trends and suggest optimizations.
Comfortable in Excel/Google Sheets for reporting and performance tracking; able to work with dashboards and communicate findings clearly to your immediate team.
A collaborative team player who can work cross-functionally with creative, sales, and product teams, communicating clearly and following through on shared priorities.
Organized and reasonably self-directed, with the ability to manage multiple campaigns and tasks with some guidance.
Nice to Have:
Some hands-on exposure to mobile UA platforms (e.g., Meta App Campaigns, Apple Search Ads, Google
UAC
) and/or attribution tools (e.g., AppsFlyer, Adjust).
Some experience with A/B testing, landing page optimization, or funnel analysis, even if early-stage or limited in scope.
A developing understanding of audience segmentation and how targeting strategies differ between B2B and B2C campaigns.
Comfort with
GA4
or similar web analytics tools and an ability to connect paid performance to basic on-site metrics.
Familiarity with project management tools like Jira, Confluence or Notion is a bonus.
Benefits:
We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.
Equal Employment Opportunity Statement:
Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law.
We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.
Criminal History Consideration:
For the Junior UA/Growth Manager position, we will conduct a background check that may include the following:
Criminal history check
Employment verification
Education verification
Relevance to Job Responsibilities:
The background check is relevant to this position because of the following role responsibilities:
Accessing confidential company data
Ensuring compliance with regulatory requirements
Rights Under the Fair Chance Act:
Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.
By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.
Location: Canada; England; Portugal; Spain; Italy; Germany; United States
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
THE ROLE
You are a product security engineer with a strong engineering foundation. Embedded in the Desktop engineering team, you will bring an engineering-first perspective to the security of a complex, cross-platform product built at the intersection of identity, OCI runtimes, and Linux kernel internals. You will read and write Go, contribute security fixes and hardening to the codebase, and make security a first-class concern from the inside out: not as an outside reviewer, but as a contributing member of the team.
This role is for a security engineer who builds: someone who applies an engineer’s instinct to making Docker Desktop more secure by default.
_______________________________________________________________________
RESPONSIBILITIES
- 6+ years of experience in product security, application security, or software engineering with a security focus, including time embedded with or partnered closely with product engineering teams.
- Proficiency in Go (or a comparable systems language), with the ability to review security-sensitive code and ship production-quality fixes and tooling.
- Solid understanding of Linux fundamentals relevant to container security: namespaces, cgroups, capabilities, seccomp profiles, AppArmor/SELinux, rootless containers, and privilege boundaries.
- Solid grasp of container runtime security (e.g. runc, containerd, BuildKit) and OCI specifications.
- Working knowledge of identity and access management concepts: OAuth 2.0, OIDC, token handling, and auth flows in desktop or cloud-adjacent contexts.
- Hands-on experience performing security design reviews and threat modeling for product features.
- Familiarity with vulnerability management processes: CVE triage, CVSS scoring, coordinated disclosure, and working with external reporters.
- Strong written and verbal communication skills; comfortable bridging the gap between a dedicated security team and a product engineering team.
_______________________________________________________________________
QUALIFICATIONS
- 6+ years of software engineering experience, with meaningful exposure to security-sensitive systems or a strong personal interest in security.
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
- Strong proficiency in Go, with a track record of writing and shipping production-grade code.
- Solid understanding of Linux fundamentals relevant to container security: namespaces, cgroups, capabilities, seccomp profiles, AppArmor/SELinux, rootless containers, and privilege boundaries.
- Familiarity with OCI specifications and container runtime internals.
- Working knowledge of identity and access management concepts: OAuth 2.0, OIDC, token handling, and auth flows in desktop or cloud-adjacent contexts.
- Comfort participating in security design reviews and threat modeling, even if security has not been your primary title.
- Familiarity with vulnerability management processes: CVE triage, CVSS scoring, coordinated disclosure, and working with external reporters.
- Strong written and verbal communication skills; comfortable bridging the gap between a dedicated security team and a product engineering team.
_______________________________________________________________________
WHAT TO EXPECT
FIRST 30 DAYS
- You will onboard into the team and get hands-on with the Docker Desktop codebase, architecture, and development workflow. You will meet your counterparts in the central security organization and learn how vulnerability reports are currently handled. The goal is to listen, ask questions, and build a clear picture of the product’s current security posture, not to change anything yet.
FIRST 90 DAYS
- You will be an active participant in design and code reviews, bringing a security lens to features in flight and landing your first security fixes in the codebase. You will have taken ownership of the vulnerability intake process, handling your first end-to-end triage cycles with minimal guidance. You will have a working relationship with the engineers on the team and a growing sense of where the most meaningful security investments should be made.
ONE YEAR OUTLOOK (FIRST YEAR)
- You will be the team’s trusted authority on product security and a contributor to the codebase. You will have driven meaningful improvements to threat modeling practices, auth flows, container isolation defaults, or time-to-remediation, and shipped security improvements directly to the code. Your work will be directly visible in the security and resilience of a product used by millions of developers every day.
Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs.
_______________________________________________________________________
COMPENSATION & EQUITY
All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location.
Canada: CA$271,150 – CA$434,000 base
United States: $194,150 – $312,950 base
Europe: €113,860 – €186,780 base
______________________________________________________________________
POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
______________________________________________________________________
PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Location: South Africa; Philippines; Pakistan; Bosnia and Herzegovina; North Macedonia; Argentina
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 startups, digital agencies, and fast-growing companies across SaaS, eCommerce, FinTech, and MarTech industries.
Unlike traditional outsourcing agencies, we place you directly with a client where you’ll work as an in-house team member—giving you real ownership, impact, and long-term career growth.
About the Company
Our client is a fast-growing startup operating at the intersection of
environmental sustainability and property development
in the UK. They deliver innovative
natural capital solutions
, including biodiversity and environmental offset schemes, helping developers meet regulatory requirements while enabling landowners to unlock new revenue streams.
They are also building a first-of-its-kind
online marketplace
for environmental credits—bringing transparency and efficiency to a rapidly evolving market.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We are hiring a Technical SEO Specialist for an exciting remote SEO job opportunity. This role is ideal for analytical and detail-oriented professionals who excel in optimizing website performance, improving search engine visibility, and driving organic growth through technical excellence.
You will play a critical role in ensuring websites are fully optimized for crawling, indexing, and ranking—working closely with developers, content teams, and marketing stakeholders.
Key Responsibilities
Execute a wide range of digital marketing tasks across channels (email, content, SEO, paid media)
Manage and maintain CRM systems, ensuring clean and accurate data
Support campaign execution, reporting, and optimisation
Assist with event coordination and marketing logistics
Create and publish content across web, email, and social platforms
Conduct basic performance analysis using analytics tools
Take ownership of ad hoc marketing projects and deliver independently
Collaborate closely with senior leadership to free up strategic capacity
Requirements
2+ years of experience in Technical SEO or SEO Specialist roles
Strong understanding of on-page and technical SEO principles
Experience with tools like Screaming Frog, Ahrefs, SEMrush, Google Search Console
Knowledge of HTML, CSS, JavaScript (basic to intermediate)
Experience improving site speed and Core Web Vitals
Analytical mindset with strong problem-solving skills
Excellent communication skills and ability to explain technical concepts
Nice-to-Have
Experience with
large-scale websites or eCommerce platforms
Familiarity with
log file analysis tools
Understanding of
international SEO and hreflang implementation
Experience working with CMS platforms like WordPress, Webflow, or Shopify
Benefits
💰 Competitive salary based on experience
🌎 Fully remote role with flexible working environment
🚀 Work with global brands and high-growth companies
📈 Strong career progression in SEO and digital marketing
🧠 Ongoing learning and access to industry tools and resources
🎯 Performance-based bonuses and growth incentives
🤝 Direct placement with clients—no outsourcing layers
Location: South Africa; United Kingdom; Colombia; Mexico; Argentina; Honduras
About Huzzle
At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups and enterprise tech companies across Cybersecurity, AI, and SaaS.
Unlike traditional outsourcing agencies, you’ll be placed directly with a client as an in-house team member—giving you real ownership, performance-driven growth, and long-term career progression.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We’re hiring a high-output Sales Development Representative for a remote tech sales role focused on aggressive outbound prospecting and pipeline generation.
This is a performance-driven role requiring comfort with high-volume cold calling (300+ dials per day), as well as strong lead sourcing and qualification skills.
You’ll play a critical role in identifying prospects, initiating conversations, and qualifying opportunities in fast-growing industries like cybersecurity and AI.
Key Responsibilities
Conduct high-volume cold calling (300+ dials daily) to generate new opportunities
Source leads independently using LinkedIn Sales Navigator (mandatory)
Identify and research target accounts across cybersecurity, tech, and AI sectors
Qualify leads through discovery conversations and needs analysis
Book qualified meetings for Account Executives
Maintain accurate CRM records and pipeline updates
Consistently meet or exceed daily, weekly, and monthly KPIs
Collaborate with sales leadership to refine outreach and targeting strategies
Requirements
1–3+ years of experience in SDR, BDR, or outbound sales roles
Proven experience with high-volume cold calling environments
Hands-on experience with LinkedIn Sales Navigator (non-negotiable)
Strong background in lead sourcing and lead qualification
Excellent communication and objection-handling skills
Comfortable working in a target-driven, high-performance environment
Self-motivated, disciplined, and resilient
Nice-to-Have
Experience in Cybersecurity, SaaS, AI, or B2B tech sales
Familiarity with tools like Apollo, ZoomInfo, or HubSpot
Experience targeting mid-market or enterprise clients
Benefits
💰 Competitive salary
🎯 Performance-based bonuses and commission structure
🌎 Fully remote role with flexible work environment
🚀 Work with a fast-growing cybersecurity company in a high-demand industry
📈 Clear progression into Account Executive or cybersecurity sales specialist roles
🧠 Ongoing training in both sales and cybersecurity fundamentals
🤝 Direct placement with the client—no outsourcing layers
Location: South Africa; Philippines; Pakistan; Poland; Bosnia and Herzegovina; North Macedonia
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 for a
GTM Engineer / Revenue Operations Specialist
to design, refine, and scale the company’s go-to-market infrastructure. This role operates at the intersection of marketing, sales, product, and data, building systems that have a direct and measurable impact on revenue performance.
This is a highly cross-functional position where you’ll take ownership of the entire funnel—from acquisition to revenue—ensuring clean data, efficient automation, and actionable insights at every stage.
Key Responsibilities
Design and manage end-to-end GTM systems across CRM, marketing, product, and data infrastructure
Architect clean lead flows and scalable data pipelines with accurate attribution
Map, monitor, and optimize the full revenue funnel from acquisition to conversion
Write SQL queries to analyze performance, segment data, and diagnose funnel issues
Build actionable dashboards that inform revenue and growth decisions
Develop and maintain automation for lead routing, scoring, enrichment, and lifecycle management
Integrate tools and systems using APIs, webhooks, and automation platforms (e.g., Zapier, Make)
Identify and resolve funnel drop-offs, improving conversion rates across stages
Align marketing, sales, and product data into a unified reporting framework
Design and run experiments (e.g., landing pages, onboarding flows) and iterate based on results
Maintain CRM data hygiene, governance standards, and tracking consistency
Collaborate cross-functionally and translate business needs into scalable technical solutions
Optimize systems and processes to improve key metrics such as CAC, LTV, and pipeline velocity
Requirements
2+ years of recent hands-on experience in GTM Engineering, RevOps, or Growth Systems
Proven ability to design, manage, and optimize end-to-end revenue funnels
Strong SQL skills for segmentation, cohort analysis, and funnel diagnostics
Experience with CRM platforms (Salesforce or HubSpot) and marketing automation tools
Familiarity with modern data stack tools (e.g., Segment, Snowflake, Google Analytics)
Hands-on experience with automation tools (Zapier, Make) and API integrations
Solid understanding of attribution models and experimentation (A/B testing, basic statistics)
Basic scripting ability (Python or JavaScript) for automation and data workflows
Strong systems-thinking mindset with a focus on scalability and efficiency
Excellent communication skills with the ability to translate technical concepts to business stakeholders
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: Bosnia and Herzegovina; Greece; Poland; Bulgaria; Finland; North Macedonia
About Huzzle
At Huzzle, we connect high-performing B2B sales professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top sales talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle.
Role Type: Full-time
Engagement: Independent Contractor
About the Company
This growing eCommerce email marketing agency helps Shopify and WooCommerce brands scale retention revenue through advanced email marketing strategies. The team works exclusively with product-based businesses that already have established email lists, using Klaviyo as their core platform to drive performance through campaigns, flows, and segmentation.
Job Summary
We are hiring a client-facing Email Account Executive with strong, hands-on experience in Klaviyo to manage multiple eCommerce accounts.
This is a remote email marketing role focused on retention and lifecycle marketing—not outbound or cold outreach. You will be responsible for managing client relationships, developing strategy, overseeing campaign execution, and driving measurable results through data-driven email marketing.
Key Responsibilities
Manage client accounts, owning strategy and performance
Lead weekly client calls, present insights, and handle feedback professionally
Build, manage, and optimize campaigns and flows within Klaviyo
Create campaign briefs, oversee execution, and QA emails before sending
Monitor performance daily and track key KPIs (open rate, click rate, bounce rate, revenue per recipient)
Identify underperforming campaigns and implement data-driven improvements
Propose and execute A/B tests, segmentation strategies, and new lifecycle flows
Collaborate with designers and internal teams to ensure high-quality, on-time delivery
Requirements
Proven, hands-on experience with Klaviyo (campaigns, flows, segmentation, reporting)
Experience managing multiple eCommerce/DTC accounts simultaneously (agency experience preferred)
Strong background in email marketing for product-based brands
Confident leading client-facing strategy calls and driving decisions
Excellent written and verbal communication skills
Strong project management and ability to handle multiple deadlines
Analytical mindset with the ability to translate data into actionable insights
High ownership, accountability, and attention to detail
Familiarity with tools like ClickUp, Notion, Slack
Understanding of eCommerce metrics (AOV, LTV, CVR, retention) and lifecycle marketing
Copywriting or copy-review experience for email campaigns
Exposure to Omnisend, CRO, or paid traffic alignment
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: South Africa; Pakistan; Philippines; Mexico; Colombia; Egypt
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 eCommerce brands in industries such as SaaS, MarTech, and DTC. Unlike traditional outsourcing, you’ll be placed directly with a client as a core member of their team.
About the Company
This opportunity is with a fast-scaling performance marketing agency that specializes in high-converting creative for paid social and digital advertising. The company partners with ambitious brands to drive growth through data-backed creative strategies, blending storytelling with performance analytics to maximize ROI.
Job Summary
We are looking for a Creative Strategis
t
to lead the ideation, testing, and scaling of high-performing marketing campaigns. This role is ideal for someone who can independently own creative direction while leveraging performance data to continuously optimize results.
If you're searching for remote marketing jobs, creative strategist roles, or digital campaign strategy positions, this is an exciting opportunity to work with a high-growth international team.
Key Responsibilities
Own the end-to-end creative strategy for paid media campaigns (Meta, Google, TikTok, etc.)
Lead creative ideation, testing frameworks, and iteration cycles for performance marketing
Collaborate cross-functionally with designers, copywriters, and media buyers to deliver high-converting creatives
Analyze campaign data and translate insights into actionable creative improvements
Conduct in-depth competitor and market research to inform campaign direction
Develop creative briefs, messaging frameworks, and scalable campaign concepts
Drive continuous optimization of ad creatives to improve CTR, CPA, and ROI
Mentor junior creatives or provide direction where needed
Requirements
3–4+ years of experience in a Creative Strategist, Performance Marketing, or similar role
Strong expertise in paid social platforms (Meta, TikTok, Google Ads)
Proven track record of scaling campaigns through creative testing and iteration
Experience leading creative direction and collaborating with cross-functional teams
Strong analytical skills with the ability to interpret data and make strategic decisions
Excellent communication, organization, and project management skills
Experience with analytics and reporting tools is highly preferred
Benefits
🌎 Fully remote role with flexible working environment
🚀 Work on high-budget campaigns for fast-growing global brands
📈 Clear path to Creative Director or Head of Creative roles
🎯 Performance-based bonuses tied to campaign success
🤝 Collaborative, high-performance marketing team
Location: South Africa; Philippines; Colombia; Mexico; Argentina; Brazil
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 in 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.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We are looking for a Senior Account Manager with 5+ years of experience in client relationship management, account growth, and retention. This is a strategic role where you will manage key accounts, drive revenue expansion, and act as a trusted advisor to clients.
You will work closely with cross-functional teams to ensure client success, identify upsell and cross-sell opportunities, and maintain high levels of customer satisfaction.
Key Responsibilities
Manage and grow a portfolio of key client accounts, ensuring long-term retention and satisfaction
Serve as the primary point of contact for clients, building strong, trust-based relationships
Identify and drive upsell and cross-sell opportunities to increase account value
Conduct regular business reviews and performance reporting with clients
Collaborate with internal teams (sales, marketing, product, customer success) to deliver on client goals
Proactively identify risks and implement strategies to improve client retention
Track account performance, revenue growth, and engagement metrics
Ensure all client interactions and account data are accurately recorded in CRM systems
Requirements
5+ years of experience in Account Management, Customer Success, or Client Services
Proven track record of managing and growing mid-market or enterprise accounts
Strong commercial acumen with experience in upselling and revenue expansion
Excellent communication, relationship-building, and stakeholder management skills
Experience working with CRM platforms (e.g., Salesforce, HubSpot)
Strong problem-solving skills with a proactive and client-focused approach
Ability to manage multiple accounts in a fast-paced environment
Experience in SaaS, marketing, or B2B services is highly preferred
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: USA
Company Intro
At
Toloka AI
we create data that powers leading GenAI models and innovations. We work with frontier labs, big tech, renowned AI startups, enterprises and non-profit research organizations worldwide. We use a combination of Experts + Crowd + Tech Platform to teach AI models to reason and evaluate their efficacy and safety. We have experts in more than 50 different domains—from doctors and lawyers to physicists and engineers—and boast one of the most diverse global crowds,
representing over
100 countries and speaking 40+ languages
. We are a well-funded startup with an enviable portfolio of clients including
Anthropic
,
Amazon
,
Microsoft
,
Poolside
,
Recraft
, and
Shopify
.
Recently, we secured strategic investment led by
Bezos Expeditions
and
Nebius Group
with participation from
Mikhail Parakhin
,
CTO of Shopify
and board advisor to leading GenAI companies, who now serves as our Chairman of the Board. Our remote-first team is globally distributed around the world:
USA
,
UK
,
the Netherlands
,
Serbia
, and more.
About the Role
Technical consultants
play a key role in our company, ensuring top-level delivery of our product, its correct configuration, and the deployment of tailored AI data solutions that meet our customers’ needs and deliver an exceptional experience working with us.
As part of this role, you will not only design and implement data labeling pipelines but also act as a trusted technical advisor for our customers - helping them understand their data needs, discover new opportunities, and build scalable AI solutions.
We are looking for a person with more than
3 years
of solid technical background, who feels comfortable working in technical environments, solving data-related tasks using Python and AI, and communicating directly with customers. You should be a confident communicator able to engage with both technical and executive stakeholders and collaborate closely with our commercial team.
Responsibilities
1. Client Ownership & Communication
Act as the primary technical point of contact for customers across technical and executive stakeholders.
Lead discovery conversations to deeply understand client goals, problems and quality criteria.
Translate client needs into clear, actionable solution designs and delivery plans.
Advise customers on best practices in data collection, data quality, evaluation, and model training workflows.
Set expectations proactively, communicate progress regularly, and manage risks and trade-offs transparently.
Identify expansion opportunities and additional ways Toloka can create value through data and AI solutions.
2. Solution Design & Delivery
Design end-to-end data solutions using Toloka’s platform, selecting appropriate components, workflows, and quality controls.
Configure data labeling components and quality controls, develop user interfaces and AI-driven tooling (e.g. agentic systems, RAGs, synthetic data generation), and integrate them into end-to-end automated pipelines for AI training and evaluation.
Run experiments and pilots to validate quality, throughput, and cost assumptions.
Lead technical execution during delivery, coordinating internal teams and external stakeholders as needed.
Ensure solutions meet agreed quality, performance, and scalability requirements.
3. End-to-End Ownership & Project Management
Own delivery outcomes holistically - including technical performance, quality, timelines, and financial efficiency.
Monitor key KPIs (e.g. throughput, quality metrics, Gross Margin, Contribution Margin) and act on deviations.
Prioritize work based on customer impact and business value.
Analyze data to identify failure modes, inefficiencies, and opportunities for improvement.
Continuously optimize solutions through iteration, automation, and adoption of new technologies.
Troubleshoot delivery, process, or technical issues in collaboration with support, infrastructure, and product teams.
Drive solutions toward stable operation with minimal ongoing maintenance.
Requirements
Core Experience
Experience as a Solution Engineer, Technical Solutions Engineer, Data Scientist, Data/Systems Analyst, or Technical Project Manager.
Proven experience owning projects end-to-end, including scoping, delivery, and stakeholder management.
Direct experience working with external customers on technical projects (requirements gathering, delivery, iteration).
Technical Skills
Strong Python skills for data manipulation (e.g. NumPy, pandas), natural language processing (e.g. NLTK, spaCy), and building lightweight web services or tools (e.g. FastAPI, Flask).
Solid understanding of ML concepts and data workflows; familiarity with LLMs and prompt engineering is a strong plus.
Experience designing multi-stage pipelines and complex systems.
Understanding of software development fundamentals: version control, testing, MVPs, iterative development etc..
Bachelor’s or Master’s degree in Data Science, ML/AI, Software Engineering, or a related quantitative field such as Physics or Applied Mathematics, with strong analytical foundations.
Ability to reason about trade-offs between quality, speed, cost, and scalability.
Communication & Ownership
Excellent English communication skills (B2+), with the ability to explain complex technical concepts to non-technical audiences.
Confidence working with data engineers, ML engineers, and researchers from leading tech companies.
Strong ownership mindset: comfortable being accountable for outcomes, not just tasks.
Ability to manage multiple projects in fast-paced, ambiguous environments.
Nice to have
Experience with crowdsourcing, expert workflows, or large-scale data labeling.
Experience working on ML training, evaluation, or agentic systems.
Familiarity with quality frameworks, audits, or data validation pipelines.
What we can offer
Full-time independent contractor engagement (B2B)
through the
Ontop
contractor platform
, working via your own company or business entity;
Flexible, fully remote schedule (
40 hours per week
);
Work at the leading edge of AI development, alongside a dedicated and dynamic team of experts;
Projects with customers that are AI industry leaders and well-known household names;
Friendly community.
[Important Notice] Scam Alert Regarding Fake Job Postings
It has come to our attention that an individual or group is fraudulently impersonating Toloka to post fake jobs and solicit personal information from applicants.Please be aware:
Official Communication:
Our recruiting team will
only
contact you from an official "
toloka.ai
" email address. We will NEVER use Gmail, Yahoo, Tolokainc, toloka.inc, or other personal or seemingly business email accounts.
Our Process:
We will
never
ask for your bank account details, credit card number, or any fees as part of the application or interview process.
Official Listings:
All legitimate job openings are posted on our official careers page:
https://toloka.ai/careers#job-list
What to do:
If you see a suspicious job posting or have been contacted by someone you suspect is a scammer, please do not provide any personal information. Instead, report the incident to us directly at
security@toloka.ai
and report the profile/post to LinkedIn.We are taking this matter very seriously and are working with the appropriate parties to resolve it.
Thank you for your vigilance!
To learn how we collect, use, disclose, and store personal data, check out our
Privacy Notice
.
Location: New York, NY (HQ); Remote (Canada); San Francisco, CA; Remote (US)
Workplace: Hybrid
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
ABOUT PRODUCTION ENGINEERING
Production Engineering is Ramp's infrastructure ownership layer. We exist to make Ramp faster, more reliable, and more scalable — and we do that by being embedded in the problems, not adjacent to them.
A few things that define how we operate:
- One team, one company, one objective. There is no "infra team" and "product team" — there is Ramp. We share the company's goals as our own. When a product team struggles with reliability or scalability, that is our struggle.
- If reliability or scalability is at risk, we own it. We don't wait to be invited, and we don't ask whose code it is. If a system is slow, if it breaks, if it won't scale — that's ours to lead, regardless of where it lives in the stack.
- We go first, and we go fast. When the path isn't obvious, we don't wait for someone else to find it. We move with urgency, propose the solution, align the stakeholders, and stay in until it's done — not until our ticket is closed.
- We lead the way. We find the next problem before it finds us. And when we solve it, we don't just fix it for ourselves — the patterns and standards we establish become the foundation the rest of Ramp builds on. That's not a side effect of the job; it's the job.
- We stay calibrated. Speed means nothing if we're moving in the wrong direction. We regularly stop and ask honestly whether what we're working on is still the highest-leverage thing we could be doing — the discipline that makes sure our effort compounds toward what actually matters.
You cannot build the future of finance on shaky infrastructure.
OUR TEAMS
Production Engineering is organized into teams — but we think about teams differently. Teams are mutable. We build them around what needs to be done, not around what we need to do given the teams we already have. The structure below reflects our current priorities; it will evolve as Ramp does.
Right now, we operate across four areas:
- Compute — the foundation everything runs on: container orchestration, networking, load balancing, edge infrastructure, and the deployment systems that get code from engineers' laptops to production reliably and at scale
- Storage — databases, caching, object storage, and the data infrastructure that underpins everything
- Workflows & Messaging — the systems that power Ramp's financial workflows and event-driven architecture
- Internal Infrastructure — the platform that makes every builder at Ramp faster and more autonomous: observability, cost attribution, and CI/CD systems that give teams visibility into what they build and what it costs
WHAT YOU'LL DO
Production Engineers at Ramp are full software engineers who happen to specialize in infrastructure. You write production code, you own systems end-to-end, and you drive technical outcomes across the organization — not just within your team.
Day to day, you will:
- Build and operate critical infrastructure across Ramp's compute, storage, messaging, and observability stack — owning the systems that handle real financial transactions at scale.
- Drive architectural change — not just flag problems. When you surface a reliability or scalability issue, you own the path forward: you propose the solution, find the owners across engineering, and stay in until it's resolved.
- Partner with product teams at the design phase — reviewing architectures, embedding golden paths, and making it easy to build correctly the first time.
- Build Ramp's next level of scale — you'll be a hands-on contributor to the most consequential infrastructure shift happening right now: our move to a cellular architecture, enabling Ramp to scale, reach international markets, operate in highly regulated and constrained environments (e.g. FedRAMP), and deliver on enterprise-grade SLAs.
- Enable AI-native engineering — as Ramp builds increasingly AI-powered products, PE is the team that makes sure the platform can support them. You'll proactively partner with product teams on AI infrastructure patterns, define the golden paths that turn one-off solutions into reusable foundations, and stay ahead of emerging challenges before they become blockers.
- Build developer tooling and self-service infrastructure — so that other teams can answer their own questions (cost, performance, reliability) without involving PE.
- Participate in on-call rotation — and more importantly, use every incident as a signal to eliminate the root cause, not just resolve the symptom.
- Lead across the company — PE doesn't just review designs or show up when called. We proactively initiate cross-team architectural reviews, and we take full ownership of company-wide reliability and scalability initiatives: identifying the problem, proposing the solution, aligning the stakeholders, and staying in until it's done.
WHAT WE LOOK FOR
We don't hire for a checklist. We hire for the instincts that make someone exceptional on this team.
The mindset we're looking for:
- You can't walk past something broken without wanting to fix it — and you don't stop at the workaround. You find the root cause and eliminate the class of problem.
- You think in systems, not tasks. You understand that "fixing the bug" is step one; making it so the bug can't happen again is the job.
- You move with urgency but without chaos. You know when to go fast and when to slow down and do it right.
- You treat product teams as your users. You build for them, communicate with them proactively, and measure success by how much faster they can ship. But you're also an owner — when something is broken or blocking, you don't wait to be asked. We win when our customers win.
- You leave things better than you found them. Every system you touch, every process you encounter — you move it forward. Not always dramatically, but always directionally. You picked it up in a certain state; you leave it in a better one.
- You are equally comfortable reading a database query plan, reviewing a system design doc, writing a Terraform module, and jumping into an incident at 2am.
Experience profile:
- 2+ years of software engineering experience shipping high-quality architectures for critical systems
- Strong software engineering fundamentals — you write clean, well-tested, production-ready code
- Hands-on experience with distributed systems at production scale
- Experience with at least one major cloud provider (AWS preferred)
- Familiarity with observability practices (SLOs, error budgets, alerting, dashboards)
- Track record of leading technical projects end-to-end, including cross-team coordination
- Comfortable using AI tooling and coding agents as part of your everyday engineering workflow — we expect our engineers to leverage these tools to move faster and think bigger
Bonus (not required):
- Experience with cellular or multi-tenant architecture patterns
- Prior work on workflow orchestration systems (Temporal)
- Contributions to developer experience or internal platform tooling
- Experience in fintech, payments, or regulated industries (FedRAMP, SOC 2)
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Location: Anywhere in France, Belgium, Spain
HEALTH CAN’T WAIT.
Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t.
Alan exists to end the wait.
Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way.
So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience.
We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR.
Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond.
⭐ BUILD THE AI-NATIVE COMPANY, FOR REAL
Alan has spent 10 years developing a distinctive way of working: radical transparency, written culture, distributed decision-making, no managers, no meetings by default. This wasn't just philosophy. It was a deliberate architectural choice, and it made Alan one of the most productive companies in European tech.
Now, agentic AI empowers us to make it much more personalized. The principles that made Alan productive become the foundation for a much more ambitious journey: a company where AI agents handle organizational complexity, surface the right context instantly, and let every person focus on the work that matters.
As a Software Engineer on this team, you will:
- Build the AI-powered internal platform that every Alaner uses daily to navigate the company, find context, and take action.
- Design and ship intelligent agents that automate real organizational workflows: onboarding, knowledge retrieval, performance alignment, decision support.
- Push LLMs into production for structured reasoning, agentic task execution, and deep integration with internal tools.
- Define the primitives and abstractions of AI-native work, the patterns that scale across every team and every country Alan operates in.
- Replace generic tools (HRIS, performance reviews, IAM) with opinionated, Alan-native software that compounds with our culture.
- Build and scale our Identity & Access Management (IAM), Privileged Access Management (PAM), and user lifecycle across 25+ systems.
- Collaborate with product, design, security and leadership to turn Alan's cultural principles into software that amplifies them.
WHY THIS ROLE IS SPECIAL
- Alan's written, transparent, async culture generates an extraordinary volume of structured organizational knowledge. Most companies can't feed AI agents with high-quality internal data. Alan already can.
- The team is building a full AI-native operational layer from scratch, not adding copilots to legacy tools.
- Every Alaner uses what you ship, every day. The feedback loop between building and impact is immediate.
- The work sits at the frontier of applied AI: agents, retrieval-augmented generation, structured outputs, tool use, human-in-the-loop design.
- The ambition goes beyond Alan. The patterns you build here could define how high-performance companies operate in the AI era.
🛠 YOUR PLAYGROUND
- Stack: Python/Flask, React, PostgreSQL, plus deep integration with LLM APIs and internal AI infrastructure.
- What you'll do: design and ship AI-native tools that power how Alan works. automated workflows, organizational navigation, agentic assistants.
- Impact: your work shapes the daily experience of every Alaner and builds the playbook for the AI-native company.
👥 WHO WE'RE LOOKING FOR
- Software engineers with +5 years of experience, ideally with backend or full-stack experience.
- Genuinely excited about AI and eager to explore what LLMs, agents, and retrieval systems can do inside a real product.
- Comfortable building in fast-moving territory where the right abstractions don't exist yet.
- Well-versed in OOP languages (Python, Java, C#) and modern web technologies.
- Fluent in English (French is a plus but not required).
- Curious, self-starting, humble, collaborative, and eager to grow.
🙌 PERKS & BENEFITS
- Fair rewards & equity packages.
- Flexible office & remote options.
- Top-tier equipment: MacBook Pro, monitor, noise-canceling headphones.
- Flexible vacation & hours.
- Comprehensive healthcare for you, children, and partners.
- Transport support and coaching for personal growth.
- Training budget for conferences, courses, books.
- Extended parental leave for all parents.
🔄 RECRUITMENT NOTE
🌟 We hire people, not roles. Don't worry if you don't check every box. High potential and curiosity matter most. We may even suggest another team if we see a better fit.
🔖 Learn more About Alan https://alan.com/about and on our Career pages https://alan.com/careers, Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE2297653.htm.
#LI-DNP
Location: Athens
Workplace: Hybrid
About the company:
KIEFER is building Greece's integrated AI ecosystem. From renewable energy infrastructure and AI systems to robotics and enterprise applications, we connect the technologies that power Europe's intelligent future. Founded in 2014, KIEFER has delivered 600MW+ of energy projects and is now developing sovereign AI infrastructure, enterprise AI products and physical AI systems for Greece and Southeast Europe.
About the role:
We are looking for an ML Team Lead to join Kiefer Tech and lead our ML Engineering team.
In this role, you will lead the development and continuous improvement of Sophea AI, our Greek-focused Large Language Model. You will work across LLM training, fine-tuning, ASR, inference optimization, model validation, and production-grade ML systems.
Beyond the model itself, you will help shape the ML Engineering function at Kiefer Tech: define clear ownership, strengthen team workflows, raise technical standards, and ensure complex ML initiatives are delivered with accountability, clarity, and strong execution.
What you will do:
- Lead the ML Engineering team working on Sophea AI and set a clear technical direction for its development
- Own delivery across core ML workstreams, including LLM training, fine-tuning, ASR, inference optimization, model validation, and production-grade ML systems
- Build a stronger operating model for the ML function: improve workflows, clarify ownership, strengthen decision-making, and remove execution blockers
- Turn the ML roadmap into clear priorities, accountable workstreams, and measurable outcomes aligned with product and business goals
- Mentor ML engineers, develop team capabilities, and bring stronger engineering practices, tools, and research-driven approaches into the team’s daily work
What you will need:
- Proven experience leading ML Engineering teams or complex ML workstreams in high-performance, fast-moving environments
- Deep technical background in LLMs, ASR, and production-grade ML systems, including pre-training, training from scratch, fine-tuning, reinforcement learning, model validation, and performance improvement
- Strong understanding of inference optimization, model quantization, and serving frameworks such as vLLM, SGLang, NVIDIA Triton, NVIDIA Dynamo, or similar tools
- Ability to bring structure into ambiguous environments: clarify ownership, improve workflows, and drive execution across several ML workstreams
- High autonomy, strong communication skills, and the ability to follow current AI research and translate relevant tools, methods, and trends into team practice
Nice to have:
- Experience with MLOps infrastructure, model serving pipelines, GPU workload management, and experiment tracking
- Contributions to open-source ML projects or published research in AI/ML
- Familiarity with real-time inference systems or event-driven ML architectures
What is there for you:
- Compensation: highly competitive package aligned with AI talent benchmarks across Europe and the US
- Ownership: high-impact leadership role with real influence on the ML Engineering function at Kiefer Tech
- Work format: remote work option, with relocation support available for candidates open to working from our Athens office
- AI-native environment: real challenges across LLMs, ASR, GPU workloads, and advanced AI product development
- NVIDIA ecosystem: access to related conferences, certifications, internal knowledge sharing, and advanced AI infrastructure through Kiefer’s strategic collaboration
- Culture: engineering-first, high autonomy, low bureaucracy, and space to shape meaningful AI products
Location: United States
Workplace: remote
Contract type: Freelance
Hourly rate: $20.30
Language: English (US)
Estimated volume: 8 - 10 hours
Start date: The project runs on a weekly basis. Eligible candidates will be added to a pool of certified raters and contacted at least 48 hours before kickoff.
We are looking for qualified raters to support a project focused on evaluating personalized search and location recommendations. This role involves rating the relevance and usefulness of suggested places based on personalized results and defined project guidelines.
If you're someone who:
Has an eye for artistic detail and intuitive design
Thinks critically about spatial accuracy, relevance, and context
Cares about delivering polished and helpful digital experiences
This project is built for you.
What you will do:
Evaluate the aesthetic quality, readability, and overall polish of digital map designs.
Assess user-focused elements like viewport framing, geospatial accuracy, and content relevance.
Review personalized location recommendations to ensure relevance and helpfulness.
Follow strict project instructions and complete tasks accurately, including tagging specific issues (e.g., “Icons not properly masked,” “Labels too small”).
Requirements:
To be located and have the right to work in the United States.
An existing, actively used
Gmail account
with prior usage history on
Google Maps.
Participation is limited to maximum three project rounds. Please note that the task request will be dynamic and we will be providing you with a heads-up as soon as possible once there is a project round available for you
.
Please note:
This project requires opt-in, consent-based access to limited elements of your activity history. A consent form will be provided for you to review and sign before participation.
A desktop or laptop computer is required to complete the application and onboarding process. Mobile devices are not supported.
Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA; Austin, TX; Chicago, IL
Workplace: onsite
Overview
Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems.
This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs.
While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale.
We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows.
Project Details
Job Title: Data Labeling Analyst
Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)
Hours: Full-time, 40 hours per week
Employment Type: W2 Full-Time Employee
Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
Pay Rate: $28/hour
Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston, Chicago , Austin. Please only apply if you meet this location requirement.
What You’ll Do
Execute high-volume data labeling and annotation tasks across speech and voice datasets
Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale
Work with audio and language data, including transcription, categorization, and tagging
Maintain strong throughput while meeting quality expectations
Escalate unclear or ambiguous cases appropriately
Adapt to evolving guidelines and workflows as systems and requirements change
Support baseline data production needs for AI training pipelines
Contribute to team calibrations and quality alignment sessions
What We’re Looking For
Native-level fluency in Finnish
Strong written communication skills and language fundamentals
1 year of work experience
in data labeling, annotation, or content-focused work;
or a Bachelor's degree or equivalent
academic qualification in a related field.
Ability to follow detailed instructions and apply guidelines consistently
High attention to detail and ability to maintain accuracy in repetitive tasks
Comfort working in structured, process-driven environments
Ability to manage time effectively and maintain steady output
Willingness to ask questions and escalate when needed
Basic familiarity with AI, speech technology, or language data is a plus
Benefits
Paid Vacation: 6 days
Paid Company Holidays: 2 days (Memorial Day and Labor Day)
Paid Sick Leave: accrued per applicable state law and company policy
Medical, Dental, and Vision Insurance (eligibility applies)
Health Savings Account (HSA)
401(k) Retirement Plan
Employee Assistance Program
Additional voluntary benefits (life, accident, critical illness, etc.)
Onsite Perks (where applicable):
Free breakfast, lunch, and dinner
Stocked micro-kitchens with snacks and beverages
Commuter benefits, including shuttles and bike-to-work options
Unique campus features depending on location
Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
To know more details (Click here)
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
Why This Role
This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users.
It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows.
Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA
Workplace: onsite
Overview
Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems.
This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs.
While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale.
We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows.
Project Details
Job Title: Speech & Voice AI Analyst
Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)
Hours: Full-time, 40 hours per week
Employment Type: W2 Full-Time Employee
Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
Pay Rate: $28/hour
Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston. Please only apply if you meet this location requirement.
What You’ll Do
Execute high-volume data labeling and annotation tasks across speech and voice datasets
Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale
Work with audio and language data, including transcription, categorization, and tagging
Maintain strong throughput while meeting quality expectations
Escalate unclear or ambiguous cases appropriately
Adapt to evolving guidelines and workflows as systems and requirements change
Support baseline data production needs for AI training pipelines
Contribute to team calibrations and quality alignment sessions
What We’re Looking For
Native-level fluency in Polish
Strong written communication skills and language fundamentals
1 year of work experience
in data labeling, annotation, or content-focused work;
or a Bachelor's degree or equivalent
academic qualification in a related field.
Ability to follow detailed instructions and apply guidelines consistently
High attention to detail and ability to maintain accuracy in repetitive tasks
Comfort working in structured, process-driven environments
Ability to manage time effectively and maintain steady output
Willingness to ask questions and escalate when needed
Basic familiarity with AI, speech technology, or language data is a plus
Benefits
Paid Vacation: 6 days
Paid Company Holidays: 2 days (Memorial Day and Labor Day)
Paid Sick Leave: accrued per applicable state law and company policy
Medical, Dental, and Vision Insurance (eligibility applies)
Health Savings Account (HSA)
401(k) Retirement Plan
Employee Assistance Program
Additional voluntary benefits (life, accident, critical illness, etc.)
Onsite Perks (where applicable):
Free breakfast, lunch, and dinner
Stocked micro-kitchens with snacks and beverages
Commuter benefits, including shuttles and bike-to-work options
Unique campus features depending on location
Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
To know more details (Click here)
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
Why This Role
This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users.
It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows.
Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA; Illinois; Austin, TX
Workplace: onsite
Overview
Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems.
This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs.
While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale.
We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows.
Project Details
Job Title: Data Labeling Analyst
Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)
Hours: Full-time, 40 hours per week
Employment Type: W2 Full-Time Employee
Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
Pay Rate: $28/hour
Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston, Chicago , Austin. Please only apply if you meet this location requirement.
What You’ll Do
Execute high-volume data labeling and annotation tasks across speech and voice datasets
Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale
Work with audio and language data, including transcription, categorization, and tagging
Maintain strong throughput while meeting quality expectations
Escalate unclear or ambiguous cases appropriately
Adapt to evolving guidelines and workflows as systems and requirements change
Support baseline data production needs for AI training pipelines
Contribute to team calibrations and quality alignment sessions
What We’re Looking For
Native-level fluency in Swedish
Strong written communication skills and language fundamentals
1 year of work experience
in data labeling, annotation, or content-focused work;
or a Bachelor's degree or equivalent
academic qualification in a related field.
Ability to follow detailed instructions and apply guidelines consistently
High attention to detail and ability to maintain accuracy in repetitive tasks
Comfort working in structured, process-driven environments
Ability to manage time effectively and maintain steady output
Willingness to ask questions and escalate when needed
Basic familiarity with AI, speech technology, or language data is a plus
Benefits
Paid Vacation: 6 days
Paid Company Holidays: 2 days (Memorial Day and Labor Day)
Paid Sick Leave: accrued per applicable state law and company policy
Medical, Dental, and Vision Insurance (eligibility applies)
Health Savings Account (HSA)
401(k) Retirement Plan
Employee Assistance Program
Additional voluntary benefits (life, accident, critical illness, etc.)
Onsite Perks (where applicable):
Free breakfast, lunch, and dinner
Stocked micro-kitchens with snacks and beverages
Commuter benefits, including shuttles and bike-to-work options
Unique campus features depending on location
Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
To know more details (Click here)
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
Why This Role
This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users.
It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows.
УдалённоjuniorГеография найма не уточнена
seniorCanada - Remote; Germany - Remote; United Kingdom - Remote; United States - Remote; We are unable to provide visa sponsorship or relocation for this role
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
South Africa; Philippines; Colombia; Mexico; Argentina; Brazil
USA
ГибридNew York, NY (HQ); Remote (Canada); San Francisco, CA; Remote (US); Relocation expense coverage to NYC or SF (if needed)
seniorAnywhere in France, Belgium, Spain
ГибридleadWork format: remote work option, with relocation support available for candidates open to working from our Athens office
ОфисCalifornia; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA; Austin, TX; Chicago, IL; To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston, Chicago , Austin
ОфисCalifornia; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA; To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston
ОфисCalifornia; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA; Illinois; Austin, TX; To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston, Chicago , Austin
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