Location: Yanbu, Saudi Arabia
Eram Talent is searching for a qualified HSE Officer - MARAFIQ Approved to join our dynamic team. As a leading Talent Acquisition Company in the Oil & Energy sector, we specialize in connecting exceptional talent with outstanding opportunities. The HSE Officer will be responsible for ensuring compliance with health, safety, and environmental standards in line with MARAFIQ regulations, thereby promoting a culture of safety and sustainability within our operations.
This role involves implementing effective HSE management systems and fostering a proactive safety culture across the organization.
Key Responsibilities
Develop, implement, and manage HSE policies and procedures in accordance with MARAFIQ requirements and best practices.
Conduct regular site inspections, risk assessments, and audits to identify hazards and propose corrective actions.
Oversee HSE training and awareness initiatives to ensure all personnel are adequately trained on safety protocols and procedures.
Investigate incidents and accidents to determine root causes and implement preventive measures.
Ensure accurate record-keeping of HSE activities, incidents, and compliance audits.
Collaborate with project teams and management to promote adherence to HSE standards and regulations.
Assist in the formulation of emergency response plans and conduct drills to ensure preparedness.
Perform other duties as assigned to support the HSE department and enhance overall safety performance.
Requirements
Bachelor's / Associate degree in Occupational Health and Safety, Environmental Science, or a related field.
A minimum of 5 years of experience in HSE roles, with a focus on MARAFIQ compliance.
A Valid MARAFIQ Approval.
A Valid Ajeer & GOSI.
Strong understanding of HSE regulations, standards, and best practices.
Experience conducting safety audits, inspections, and risk assessments.
Excellent communication and interpersonal skills to engage effectively with teams and stakeholders.
Certification in health and safety management (e.g., NEBOSH, IOSH) is highly desirable.
Demonstrated ability to develop and deliver HSE training programs successfully.
Experience in incident investigation and response management.
Willingness to travel and work on-site as required.
Strong problem-solving skills and the ability to work collaboratively in a team environment.
Knowledge of emergency preparedness and response techniques is an asset.
Location: San Francisco; New York City
Workplace: Hybrid
Perplexity is seeking a highly motivated and skilled Demand Generation Lead to join our GTM team. This is a high-impact, high-autonomy role. You’ll own Perplexity’s demand generation engine for our enterprise and business products, partnering closely with Sales, Product Marketing, and Revenue Operations to accelerate pipeline and revenue growth.
If you’re the kind of marketer who builds their own tools, automates ruthlessly, and treats every campaign as an experiment—this role was written for you.
RESPONSIBILITES
- Own Perplexity’s end-to-end demand generation strategy with direct accountability for enterprise top of funnel growth and downstream conversion to revenue.
- Architect and operate a modern demand engine using AI-native tooling—programmatic outbound, AI-personalized sequences, intent-based targeting, and automated workflows—that generates qualified pipeline at scale. We don’t buy, we build.
- Design and execute multi-channel campaigns across paid, organic, ABM, events, partnerships, and emerging channels, continuously testing new motions, killing what doesn’t work, and doubling down on incremental impact.
- Develop segmentation and targeting strategies for priority enterprise buyer personas, including IT leaders, executives, developers, and AI decision-makers.
- Partner with Product Marketing, Sales, and Revenue Operations to own and continuously improve the marketing-to-sales funnel.
WHAT WE’RE LOOKING FOR:
- 5+ years building and scaling multiple growth channels at a fast paced startup with a proven track record of revenue growth
- Experience and deep interest in building homegrown AI-driven outbound engines, programmatic personalization, and rapid experimentation platforms to scale yourself.
- Analytically rigorous: You are deeply data-driven, comfortable in SQL, attribution measurement, and BI tools like Looker, Omni, Hex, and Tableau. You build your own dashboards, define your own metrics, and make decisions based on evidence, not intuition.
- Thrives in ambiguity: You operate independently with urgency and ownership in fast-paced, early-stage environments where processes are still being defined.
Location: San Francisco
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
This role sits at the frontier of our research agenda. You will pursue open problems at the intersection of post-training methodology and performant inference, and then collaborate with research engineering to translate findings into production systems.
A meaningful portion of your time will be dedicated to research that deepens our understanding of how models learn, alignment, and architectural efficiency — questions that may not have immediate product application. The remainder will be directed toward research that solves concrete problems for Baseten's platform and customers, who are the fastest growing AI companies in the world like Cursor, Lovable, and Notion.
We are looking for someone with sharp research taste and genuine creative instinct for problem selection. Someone who can identify questions that matter, design clean experiments to answer them, and push the state of the art. The environment here is not theoretical, but rather research that can be validated with eager customers who are serving billions of tokens a second.
The Manifesto: https://labs.baseten.co/manifesto
RECENT RESEARCH
- Towards infinite context windows: neural KV cache compaction https://www.baseten.co/research/towards-infinite-context-windows-neural-kv-cache-compaction/
- Dense, on-policy or both? https://www.baseten.co/research/dense-on-policy-or-both/
- Repeated kv cache for long-running agents https://www.baseten.co/research/repeated-kv-cache-for-long-running-agents/
- Distillation without the dark – replicating black-box on-policy distillation on Baseten https://www.baseten.co/research/distillation-without-the-dark/
RESPONSIBILITIES
- Define and pursue a research agenda spanning both foundational and applied work, with the applied component connected to Baseten's platform and customer needs.
- Design and execute rigorous experiments, frequently at meaningful scale (multi-node, trillion parameter models).
- Work with customers to translate domain-specific requirements into research problems, where relevant to your agenda.
- Publish at top venues (NeurIPS, ICML, ICLR) and establish Baseten's research presence.
- Collaborate with model performance and training infrastructure teams to bridge research findings and inference production systems.
- Mentor junior researchers and shape the technical direction of the research organization as it grows.
PREFERRED QUALIFICATIONS
- Master’s or PhD research depth in machine learning, with first-author publications at top venues
- Demonstrated ability to move from theory through implementation to empirical results — not exclusively theoretical or exclusively engineering work
- Judgment about problem selection, the ability to distinguish research that advances a metric from research that changes how systems are built
- Willingness to operate in a startup environment where the majority of research informs product decisions, with timelines measured in months rather than years
- Background spanning multiple research areas (e.g., both interpretability and RL, or both systems and training methodology)
- Track record of open-source contributions or community building in ML research
OUR VIEW ON TALENT
Many of the labs that exist today run a credentialist talent model. Concentrate the most already-legible researchers, and assume the concentration compounds. The best researchers in this field are very often not yet legible. Research engineers who have spent years inside a production stack and developed insights no PhD program teaches; PhDs working on the wrong-shaped problem at the right-shaped lab; operators who have been close to real systems long enough to see things credentialed researchers have never had to see. If you don’t have the traditional qualifications and are doing exceptional work, we’d love to chat.
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: Kifissia, Greece
Workplace: onsite
Are you ready to join our digital revolution journey?
At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.
Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.
With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career.
We are looking for an outstanding Client Solutions Manager to join our Microsoft team. The ideal candidate will have a strong understanding of digital and the performance agency landscape in the Greece, and be able to understand the needs of agencies and marketers in order to deliver measurable results against ambitious sales targets.
What You'll Do
Client Onboarding and Support: Partner with Client Partners to pitch to and onboard digital performance agencies and direct advertisers, ensuring a smooth transition to Microsoft Ads.
Campaign Setup and Optimization: Assist clients with campaign setup, optimization, and budget planning to help achieve their advertising goals.
Performance Monitoring: Track campaign performance, analyse results, and provide insights to improve campaign outcomes.
Collaboration: Coordinate with the Microsoft Advertising team and internal teams to resolve technical and ad policy issues, ensuring smooth execution of campaigns.
Operational Management: Handle contractual setup, invoicing, and Microsoft Ads account setup to ensure all processes are accurate and timely for each client.
What You'll Need for this Role
In-depth experience working at digital performance agencies.
Experience in running campaigns on
Microsoft/Bing Ads
or
Google Ads.
Solid understanding of Google Analytics (experience with GTM is a plus).Structured and analytical mindset.
Strong communication, time management, and interpersonal skills.
Fluency in
English
and
Greek
.
What will make us really love you:
You have an eye for detail.
You maintain a balance of being a true team player as well as having a competitive edge.
You have a positive attitude (training, resiliency, appreciate the growth from adversity).
You are coachable and have proven ability to take and implement feedback.
You have the ability to engage and communicate with clients in a positive and approachable way.
You are a proven top performer in your work experience
In line with the EU Pay Transparency Directive, we are committed to fair and open compensation practices. For this role, the minimum gross annual base salary is EUR
26,240
.
In addition to base salary, this role includes a significant performance-based variable component, paid quarterly. The final offer will reflect your experience, skills, and the scope of the role.
Why Join Us?
Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.
We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.
#ALEPH
Location: United Kingdom; United States; 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 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 searching for a
Senior Media Buyer
with 4+ years of hands-on experience managing and scaling paid advertising campaigns across multiple digital platforms.
This role is ideal for a performance-driven marketer who understands full-funnel strategy, audience targeting, creative testing, budget scaling, and ROAS optimization. You will be responsible for managing significant monthly ad spend and driving measurable revenue growth.
Key Responsibilities
Plan, launch, and scale paid advertising campaigns across Meta, Google, TikTok, LinkedIn, and other channels
Manage monthly ad budgets ($20k–$200k+ depending on client)
Optimize campaigns to improve ROAS, CPA, CPL, and CAC
Develop and execute A/B testing strategies for creatives, copy, and landing pages
Collaborate with creative teams on high-performing ad creatives
Monitor analytics dashboards and provide weekly performance reports
Conduct competitor research and audience analysis
Implement retargeting, lookalike, and funnel-based strategies
Track conversions using pixels, GA4, and CRM integrations
Identify scaling opportunities and new acquisition channels
Requirements
4+ years of experience in paid media buying or performance marketing
Proven track record managing and scaling profitable ad campaigns
Strong experience with Meta Ads Manager and Google Ads
Experience with tracking tools (Google Analytics, GA4, GTM, conversion APIs)
Strong understanding of funnels, landing page optimization, and CRO
Data-driven mindset with strong analytical skills
Experience managing five-figure to six-figure monthly ad budgets
Excellent communication and reporting skills
Experience in eCommerce, SaaS, Info Products, or Lead Generation preferred
Ability to work independently in a fully remote environment
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
Workplace: remote
Creatio is a global vendor of an agentic CRM & workflow platform with no-code and AI at its core. We help organizations automate customer and operational workflows achieving the fastest time-to-value and the highest ROI on the market. Millions of workflows run on Creatio daily, supporting thousands of clients in over 100 countries. Genuine care for our clients and partners is at the heart of our DNA. We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.Who We’re Looking For:The Global Sales Enablement & Field Readiness role is responsible for designing, developing, and delivering programs that strengthen seller productivity across Creatio’s global go-to-market organization.Working in close partnership with the Global Head of Sales Excellence, this role translates strategic priorities into structured enablement initiatives that improve seller performance, reinforce consistent execution of Creatio’s sales methodology, and ensure the field is fully prepared for new product releases, messaging, and go-to-market initiatives.This position plays a central role in building and operationalizing ongoing enablement programs across the revenue organization and works closely with Sales, BDR, Partner, and Customer Success teams to drive readiness, alignment, and continuous improvement in execution.The ideal candidate combines strong enterprise sales and sales enablement experience with a deep understanding of enterprise AI, no-code, CRM, and SaaS sales environments. This person must be equally strong in content creation, program development, and live delivery, with the ability to translate strategy into practical and engaging learning experiences that improve seller execution.Responsibilities:Sales Enablement Strategy & ProgramsDesign, develop, and deliver global enablement programs that strengthen core selling capabilities across the revenue organization.Create structured training programs focused on discovery, value selling, qualification discipline, competitive positioning, and deal execution.Deliver high-impact learning experiences through live facilitation, workshops, and skill-building sessions.Operationalize Creatio’s sales methodology through structured training, reinforcement programs, and practical tools that support deal progression.Equip sellers with frameworks and guidance to run effective discovery, build value cases, and advance enterprise opportunities.Field ReadinessLead field readiness programs that prepare the revenue organization for new product capabilities, solutions, and messaging updates.Partner with Product, Growth, and Customer Success teams to translate product innovation into practical enablement for customer-facing teams.Coordinate readiness initiatives tied to product releases, strategic launches, and go-to-market changes.Ensure the field has clear messaging, positioning, and solution knowledge.Ongoing Enablement ProgramsDesign and manage enablement initiatives that support seller development beyond onboarding.Coordinate global training programs including sales capability development, strategic workshops, and skill reinforcement.Support major enablement moments such as global sales meetings and training programs.Ensure enablement initiatives remain aligned with company priorities and evolving field needs.Enablement Operations & AnalyticsPartner with Sales Excellence leadership to measure enablement effectiveness.Monitor training adoption, certification progress, and seller readiness.Develop reporting that tracks enablement impact on ramp time, pipeline growth, and deal progression.Use field feedback and data insights to continuously improve programs.Cross-Functional CollaborationWork closely with the Global Head of Sales Excellence to execute enablement priorities.Collaborate with Sales Leadership, Product, Marketing, Customer Success, Channels, and Revenue Operations.Ensure enablement initiatives align with onboarding and broader sales excellence programs.Requirements:10–15 years of professional experience in sales enablement, sales operations, enterprise sales, or GTM program leadership in a high-growth B2B environment.Previous quota-carrying sales experience with a track record of meeting or exceeding targets.5–8 years of experience designing and delivering sales enablement programs.Experience supporting enterprise SaaS or AI sales organizations.Strong understanding of enterprise sales frameworks including discovery, qualification, value selling, and deal progression.Experience operationalizing enablement programs across large revenue organizations.Experience working cross-functionally with sales leadership, product teams, marketing, and RevOps.Strong program management, facilitation, and communication skills.Proven ability to design engaging learning experiences that drive behavior change and improve seller performance.What you should expect from us: Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.
Who We’re Looking For:
The
Global Sales Enablement & Field Readiness
role is responsible for designing, developing, and delivering programs that strengthen seller productivity across Creatio’s global go-to-market organization.
Working in close partnership with the Global Head of Sales Excellence, this role translates strategic priorities into structured enablement initiatives that improve seller performance, reinforce consistent execution of Creatio’s sales methodology, and ensure the field is fully prepared for new product releases, messaging, and go-to-market initiatives.
This position plays a central role in building and operationalizing ongoing enablement programs across the revenue organization and works closely with Sales, BDR, Partner, and Customer Success teams to drive readiness, alignment, and continuous improvement in execution.
The ideal candidate combines strong enterprise sales and sales enablement experience with a deep understanding of enterprise AI, no-code, CRM, and SaaS sales environments. This person must be equally strong in content creation, program development, and live delivery, with the ability to translate strategy into practical and engaging learning experiences that improve seller execution.
Responsibilities:
Sales Enablement Strategy & Programs
-Design, develop, and deliver global enablement programs that strengthen core selling capabilities across the revenue organization.
-Create structured training programs focused on discovery, value selling, qualification discipline, competitive positioning, and deal execution.
-Deliver high-impact learning experiences through live facilitation, workshops, and skill-building sessions.
-Operationalize Creatio’s sales methodology through structured training, reinforcement programs, and practical tools that support deal progression.
-Equip sellers with frameworks and guidance to run effective discovery, build value cases, and advance enterprise opportunities.
Field Readiness
-Lead field readiness programs that prepare the revenue organization for new product capabilities, solutions, and messaging updates.
-Partner with Product, Growth, and Customer Success teams to translate product innovation into practical enablement for customer-facing teams.
-Coordinate readiness initiatives tied to product releases, strategic launches, and go-to-market changes.
-Ensure the field has clear messaging, positioning, and solution knowledge.
Ongoing Enablement Programs
-Design and manage enablement initiatives that support seller development beyond onboarding.
-Coordinate global training programs including sales capability development, strategic workshops, and skill reinforcement.
-Support major enablement moments such as global sales meetings and training programs.
-Ensure enablement initiatives remain aligned with company priorities and evolving field needs.
Enablement Operations & Analytics
-Partner with Sales Excellence leadership to measure enablement effectiveness.
-Monitor training adoption, certification progress, and seller readiness.
-Develop reporting that tracks enablement impact on ramp time, pipeline growth, and deal progression.
-Use field feedback and data insights to continuously improve programs.
Cross-Functional Collaboration
-Work closely with the Global Head of Sales Excellence to execute enablement priorities.
-Collaborate with Sales Leadership, Product, Marketing, Customer Success, Channels, and Revenue Operations.
-Ensure enablement initiatives align with onboarding and broader sales excellence programs.
Requirements:
-10–15 years of professional experience in sales enablement, sales operations, enterprise sales, or GTM program leadership in a high-growth B2B environment.
-Previous quota-carrying sales experience with a track record of meeting or exceeding targets.
-5–8 years of experience designing and delivering sales enablement programs.
-Experience supporting enterprise SaaS or AI sales organizations.
-Strong understanding of enterprise sales frameworks including discovery, qualification, value selling, and deal progression.
-Experience operationalizing enablement programs across large revenue organizations.
-Experience working cross-functionally with sales leadership, product teams, marketing, and RevOps.
-Strong program management, facilitation, and communication skills.
-Proven ability to design engaging learning experiences that drive behavior change and improve seller performance.
What you should expect from us:
-Growth & Development:
Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.
-Flexibility & Well-Being:
We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.
-Recognition & Impact:
A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.
-Innovative Culture:
Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.
-Benefits & Rewards Package:
We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.
Location: Porto, Portugal
Workplace: remote
We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLM autoraters. The role is required to use client’s internal tools to leverage prompt engineering techniques to maximize model performance.
Responsibilities:
Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters.
Run and supervise Automated Prompt Optimization (APO) tool, review the outputs, and flag when the APO reaches deadlocks or plateaus.
Manually draft, test, and refine prompts to navigate complex template architectures, overcome anti-patterns, and handle edge cases where tooling is lacking or broken. Solve edge-case scenarios by designing and refining manual prompts.
Monitor shadowbot runs to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked.
Run prompt versions against established gold data to continuously measure autorater quality against the human crowd baseline, calculating accuracy metrics such as F1 scores, precision, and recall.
Draft technical launch readiness justifications (Launch Certification Documentation) for final.
Requirement:
Language Skills
:
Native fluency in Portuguese and fluent in English.
Location:
Must be based in Portugal.
Education
:
Bachelor’s, Master’s, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, or a related analytical field.
Prompt Engineering & AI Expertise
:
At least 4 years' experience as Prompt Engineer. Proven experience tuning Large Language Models (LLMs) for strict, structured outputs, complex classification tasks, and familiarity with chain-of-thought and few-shot learning.
Data Analysis
:
Strong proficiency in identifying error patterns, analyzing model performance, and using SQL or other data analytics tools.
Technical Agility
:
Ability to quickly learn and master proprietary tools with minimal supervision.
Communication
:
Excellent verbal and written communication skills.
Optional / Preferred Skills:
Familiarity with enterprise-grade LLM interfaces like the Goose API.
Experience in AI model evaluation, data science, computational linguistics, or software engineering.
Hands-on experience with Automated Prompt Optimization (APO) systems or tuning workflows.
Linguistic expertise, including an understanding of semantics and logic.
Location: Netherlands
Workplace: remote
We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLM autoraters. The role is required to use client’s internal tools to leverage prompt engineering techniques to maximize model performance.
Responsibilities:
Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters.
Run and supervise Automated Prompt Optimization (APO) tool, review the outputs, and flag when the APO reaches deadlocks or plateaus.
Manually draft, test, and refine prompts to navigate complex template architectures, overcome anti-patterns, and handle edge cases where tooling is lacking or broken. Solve edge-case scenarios by designing and refining manual prompts.
Monitor shadowbot runs to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked.
Run prompt versions against established gold data to continuously measure autorater quality against the human crowd baseline, calculating accuracy metrics such as F1 scores, precision, and recall.
Draft technical launch readiness justifications (Launch Certification Documentation) for final.
Requirement:
Language Skills
:
Native fluency in Dutch and fluent in English.
Location:
Must be based in Netherlands.
Education
:
Bachelor’s, Master’s, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, or a related analytical field.
Prompt Engineering & AI Expertise
:
At least 4 years' experience as Prompt Engineer. Proven experience tuning Large Language Models (LLMs) for strict, structured outputs, complex classification tasks, and familiarity with chain-of-thought and few-shot learning.
Data Analysis
:
Strong proficiency in identifying error patterns, analyzing model performance, and using SQL or other data analytics tools.
Technical Agility
:
Ability to quickly learn and master proprietary tools with minimal supervision.
Communication
:
Excellent verbal and written communication skills.
Optional / Preferred Skills:
Familiarity with enterprise-grade LLM interfaces like the Goose API.
Experience in AI model evaluation, data science, computational linguistics, or software engineering.
Hands-on experience with Automated Prompt Optimization (APO) systems or tuning workflows.
Linguistic expertise, including an understanding of semantics and logic.
Location: Japan
Workplace: remote
We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLM autoraters. The role is required to use client’s internal tools to leverage prompt engineering techniques to maximize model performance.
Responsibilities:
Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters.
Run and supervise Automated Prompt Optimization (APO) tool, review the outputs, and flag when the APO reaches deadlocks or plateaus.
Manually draft, test, and refine prompts to navigate complex template architectures, overcome anti-patterns, and handle edge cases where tooling is lacking or broken. Solve edge-case scenarios by designing and refining manual prompts.
Monitor shadowbot runs to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked.
Run prompt versions against established gold data to continuously measure autorater quality against the human crowd baseline, calculating accuracy metrics such as F1 scores, precision, and recall.
Draft technical launch readiness justifications (Launch Certification Documentation) for final.
Requirement:
Language Skills
:
Native fluency in Japanese and fluent in English.
Location:
Must be based in Japan.
Education
:
Bachelor’s, Master’s, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, or a related analytical field.
Prompt Engineering & AI Expertise
:
At least 4 years' experience as Prompt Engineer. Proven experience tuning Large Language Models (LLMs) for strict, structured outputs, complex classification tasks, and familiarity with chain-of-thought and few-shot learning.
Data Analysis
:
Strong proficiency in identifying error patterns, analyzing model performance, and using SQL or other data analytics tools.
Technical Agility
:
Ability to quickly learn and master proprietary tools with minimal supervision.
Communication
:
Excellent verbal and written communication skills.
Optional / Preferred Skills:
Familiarity with enterprise-grade LLM interfaces like the Goose API.
Experience in AI model evaluation, data science, computational linguistics, or software engineering.
Hands-on experience with Automated Prompt Optimization (APO) systems or tuning workflows.
Linguistic expertise, including an understanding of semantics and logic.
Location: Italy
Workplace: remote
We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLM autoraters. The role is required to use client’s internal tools to leverage prompt engineering techniques to maximize model performance.
Responsibilities:
Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters.
Run and supervise Automated Prompt Optimization (APO) tool, review the outputs, and flag when the APO reaches deadlocks or plateaus.
Manually draft, test, and refine prompts to navigate complex template architectures, overcome anti-patterns, and handle edge cases where tooling is lacking or broken. Solve edge-case scenarios by designing and refining manual prompts.
Monitor shadowbot runs to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked.
Run prompt versions against established gold data to continuously measure autorater quality against the human crowd baseline, calculating accuracy metrics such as F1 scores, precision, and recall.
Draft technical launch readiness justifications (Launch Certification Documentation) for final.
Requirement:
Language Skills
:
Native fluency in Italian and fluent in English.
Location:
Must be based in Italy.
Education
:
Bachelor’s, Master’s, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, or a related analytical field.
Prompt Engineering & AI Expertise
:
At least 4 years' experience as Prompt Engineer. Proven experience tuning Large Language Models (LLMs) for strict, structured outputs, complex classification tasks, and familiarity with chain-of-thought and few-shot learning.
Data Analysis
:
Strong proficiency in identifying error patterns, analyzing model performance, and using SQL or other data analytics tools.
Technical Agility
:
Ability to quickly learn and master proprietary tools with minimal supervision.
Communication
:
Excellent verbal and written communication skills.
Optional / Preferred Skills:
Familiarity with enterprise-grade LLM interfaces like the Goose API.
Experience in AI model evaluation, data science, computational linguistics, or software engineering.
Hands-on experience with Automated Prompt Optimization (APO) systems or tuning workflows.
Linguistic expertise, including an understanding of semantics and logic.
Location: Spain
Workplace: remote
We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLM autoraters. The role is required to use client’s internal tools to leverage prompt engineering techniques to maximize model performance.
Responsibilities:
Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters.
Run and supervise Automated Prompt Optimization (APO) tool, review the outputs, and flag when the APO reaches deadlocks or plateaus.
Manually draft, test, and refine prompts to navigate complex template architectures, overcome anti-patterns, and handle edge cases where tooling is lacking or broken. Solve edge-case scenarios by designing and refining manual prompts.
Monitor shadowbot runs to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked.
Run prompt versions against established gold data to continuously measure autorater quality against the human crowd baseline, calculating accuracy metrics such as F1 scores, precision, and recall.
Draft technical launch readiness justifications (Launch Certification Documentation) for final.
Requirement:
Language Skills
:
Native fluency in Spanish and fluent in English.
Location:
Must be based in Spain.
Education
:
Bachelor’s, Master’s, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, or a related analytical field.
Prompt Engineering & AI Expertise
:
At least 4 years' experience as Prompt Engineer. Proven experience tuning Large Language Models (LLMs) for strict, structured outputs, complex classification tasks, and familiarity with chain-of-thought and few-shot learning.
Data Analysis
:
Strong proficiency in identifying error patterns, analyzing model performance, and using SQL or other data analytics tools.
Technical Agility
:
Ability to quickly learn and master proprietary tools with minimal supervision.
Communication
:
Excellent verbal and written communication skills.
Optional / Preferred Skills:
Familiarity with enterprise-grade LLM interfaces like the Goose API.
Experience in AI model evaluation, data science, computational linguistics, or software engineering.
Hands-on experience with Automated Prompt Optimization (APO) systems or tuning workflows.
Linguistic expertise, including an understanding of semantics and logic.
Location: France
Workplace: remote
We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLM autoraters. The role is required to use client’s internal tools to leverage prompt engineering techniques to maximize model performance.
Responsibilities:
Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters.
Run and supervise Automated Prompt Optimization (APO) tool, review the outputs, and flag when the APO reaches deadlocks or plateaus.
Manually draft, test, and refine prompts to navigate complex template architectures, overcome anti-patterns, and handle edge cases where tooling is lacking or broken. Solve edge-case scenarios by designing and refining manual prompts.
Monitor shadowbot runs to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked.
Run prompt versions against established gold data to continuously measure autorater quality against the human crowd baseline, calculating accuracy metrics such as F1 scores, precision, and recall.
Draft technical launch readiness justifications (Launch Certification Documentation) for final.
Requirement:
Language Skills
:
Native fluency in French and fluent in English.
Location:
Must be based in France.
Education
:
Bachelor’s, Master’s, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, or a related analytical field.
Prompt Engineering & AI Expertise
:
At least 4 years' experience as Prompt Engineer. Proven experience tuning Large Language Models (LLMs) for strict, structured outputs, complex classification tasks, and familiarity with chain-of-thought and few-shot learning.
Data Analysis
:
Strong proficiency in identifying error patterns, analyzing model performance, and using SQL or other data analytics tools.
Technical Agility
:
Ability to quickly learn and master proprietary tools with minimal supervision.
Communication
:
Excellent verbal and written communication skills.
Optional / Preferred Skills:
Familiarity with enterprise-grade LLM interfaces like the Goose API.
Experience in AI model evaluation, data science, computational linguistics, or software engineering.
Hands-on experience with Automated Prompt Optimization (APO) systems or tuning workflows.
Linguistic expertise, including an understanding of semantics and logic.
Location: Germany
Workplace: remote
We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLM autoraters. The role is required to use client’s internal tools to leverage prompt engineering techniques to maximize model performance.
Responsibilities:
Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters.
Run and supervise Automated Prompt Optimization (APO) tool, review the outputs, and flag when the APO reaches deadlocks or plateaus.
Manually draft, test, and refine prompts to navigate complex template architectures, overcome anti-patterns, and handle edge cases where tooling is lacking or broken. Solve edge-case scenarios by designing and refining manual prompts.
Monitor shadowbot runs to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked.
Run prompt versions against established gold data to continuously measure autorater quality against the human crowd baseline, calculating accuracy metrics such as F1 scores, precision, and recall.
Draft technical launch readiness justifications (Launch Certification Documentation) for final.
Requirement:
Language Skills
:
Native fluency in German and fluent in English.
Location:
Must be based in Germany.
Education
:
Bachelor’s, Master’s, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, or a related analytical field.
Prompt Engineering & AI Expertise
:
At least 4 years' experience as Prompt Engineer. Proven experience tuning Large Language Models (LLMs) for strict, structured outputs, complex classification tasks, and familiarity with chain-of-thought and few-shot learning.
Data Analysis
:
Strong proficiency in identifying error patterns, analyzing model performance, and using SQL or other data analytics tools.
Technical Agility
:
Ability to quickly learn and master proprietary tools with minimal supervision.
Communication
:
Excellent verbal and written communication skills.
Optional / Preferred Skills:
Familiarity with enterprise-grade LLM interfaces like the Goose API.
Experience in AI model evaluation, data science, computational linguistics, or software engineering.
Hands-on experience with Automated Prompt Optimization (APO) systems or tuning workflows.
Linguistic expertise, including an understanding of semantics and logic.
Location: Remote - India
Who we are
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to
hundreds of thousands of businesses
and empower millions of developers worldwide to craft personalized customer experiences.
Our dedication to
remote-first work
, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.
.
Hiring and how we work
We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!
Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.
.
See yourself at Twilio
Join the team as Twilio’s next Senior Network Engineer.
About the job
This position is needed to help build, operate, and maintain the global corporate network infrastructure, VPN, ZTNA, and connectivity to our cloud-based systems. As part of the Identity and Network Trust team, you will monitor network performance to proactively respond to incidents. You will need to possess the technical knowledge to troubleshoot and perform root cause analysis for escalated connectivity issues. You also will collaborate with the security team and other engineering teams to develop a secured global network infrastructure.
Responsibilities
Build, operate and support the global Twilio IT network infrastructure.
Keep track of network assets, including network hardware and software.
Monitor the network performance, availability, utilization, throughput and latency, providing measurable metrics to the IT leadership team.
Work closely with stakeholder teams to determine current and future network needs.
Prioritize projects and work based on business priorities using the Scale Agile Framework (SAFe).
Develop methods and tools to be used to test and implement new LAN/WAN systems.
Analyze the current network structure and collaborate on how to make the network more efficient, scalable and sustainable.
Formulate strategies to maintain and upgrade network systems efficiently.
Respond to incidents, engage in network troubleshooting activities to determine root cause and resolve network issues.
Create and maintain documentation for network design, IT network standards and process.
Qualifications
Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
*Required:
7+ years of experience with building campus and/or data center network infrastructure, AWS cloud services and networking
5+ years of experience with Cisco LAN/WAN/Wifi and Palo Alto Networks firewalls
3+ years experience with AWS cloud services and networking
Advanced knowledge of IEEE 802 standards and core IETF networking protocols including 802.11 suite, TCP/IP, DNS, DHCP, routing and switching protocols
Hands on knowledge of network monitoring
Knowledge of network security to implement security policy for compliance
Proficient skill in WIndows, Mac, Linux client networking
Experience in troubleshooting network problems at different OSI model layer
University degree in computer science or equivalent experience
Excellent written and verbal communication skills
Desired:
Cisco CCNA/CCNP Certification
AWS certification
Zscaler Zero Trust Systems experience and/or certifications
Scripting language with API automation
Experience with infrastructure as code (IaC) using Terraform
Knowledge of ITIL framework and its application in a network environment
Project management skills
Location
This role will be Remote and based in India (Karnataka, Tamil Nadu, Telangana, Maharashtra, Delhi)
Travel
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately 15% travel is anticipated to help you connect in-person in a meaningful way and perform job duties
What We Offer
Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call
Twilio Magic
. Additionally, we empower employees to build
positive change in their communities
by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for,
please consider other open positions.
.
Stay alert to recruitment fraud
We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @
twilio.com
email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps.
.
Twilio is proud to be an equal opportunity employer.
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. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.
Location: Miami, United States
This job is posted on behalf of CLT Recruiters.
Our client, a prestigious high-end residential construction company based in Miami is seeking an experienced Site Supervisor to lead on-site operations for private single-family residential projects. This is an excellent opportunity to join a firm renowned for delivering exceptional quality and craftsmanship in the luxury home market.
Key Responsibilities:
On-Site Leadership: Take charge of daily on-site activities, ensuring operations run efficiently. Serve as the primary point of contact for all on-site personnel, fostering a collaborative and productive workplace.
Project Management: Oversee various phases of high-end residential construction, ensuring that all tasks adhere to established timelines and meet the company's rigorous quality and safety standards.
Quality Assurance: Implement and continuously monitor quality control measures throughout the construction process. Conduct regular inspections to ensure all work is executed to the highest standards, maintaining the expectations of luxury homebuilding.
Collaboration: Effectively coordinate with subcontractors, vendors, and team members to ensure seamless communication and project execution. This includes overseeing schedules, resource planning, and promptly addressing any challenges that arise.
Safety Compliance: Uphold stringent safety practices on-site and ensure compliance with safety regulations. Provide safety training as needed and ensure all workers follow safety protocols diligently.
Reporting: Prepare and submit detailed progress reports that document all project phases, including any incidents and the corrective measures taken.
Qualifications:
Proven experience as a Site Supervisor in high-end residential construction, particularly with private single-family projects.
Strong leadership skills with the ability to motivate and guide a team effectively.
Detail-oriented approach with outstanding problem-solving capabilities.
Proficient in coordinating with various stakeholders, including contractors and suppliers.
Comprehensive knowledge of construction safety regulations and quality standards specific to luxury residential projects.
Excellent communication and interpersonal skills.
Why Join Us?
This role presents a unique opportunity to work with a distinguished company that values its employees and is committed to their professional growth. Join a dynamic team that is passionate about crafting exquisite private single-family homes. If you have a dedication to quality and possess the relevant experience, we encourage you to apply for the Site Supervisor position and become an integral part of our client's legacy in high-end residential construction in Miami.
Benefits:
Immediate eligibility for 10 vacation days, 3 sick days, and 2 personal days
Generous year-end bonus based on individual and company performance
Comprehensive health insurance coverage with 100% premiums paid
Potential for an end-of-project bonus
Salary: $90,000 – $130,000 / year
Location: Berlin, Germany
Workplace: hybrid
Berlin • Cybersecurity & AI Startup • Recently Funded
A newly funded cybersecurity startup in Berlin is looking for a
Backend Engineer(Go)
to join as a founding team member and help design the core security, identity, and enforcement foundations of a next-generation AI-powered security risk management platform.
We are an early-stage startup founded by experienced cybersecurity leaders with backgrounds in Israeli Intelligence units. We are looking for a hands-on
Founding Backend Engineer(Go)
for a hybrid role based in central of Berlin. If you are passionate about cybersecurity and AI tech, thrive in fast-paced startup environments, and enjoy building complex platforms from the ground up, this is an opportunity to make a real impact.
They’re building a next-generation cyber risk platform that helps enterprises understand, measure, and reduce identity risk at scale. Their goal is to turn complex identity and security data into clear, actionable risk insights that CISOs and CTOs can trust. You will work from scratch on core platform components from day one, shaping how modern enterprises manage and reason about risk using cloud-native systems, AI-driven analysis, and automated enforcement through AI agents.
Key Responsibilities
Develop and maintain
backend applications
using Go
Design and optimize cloud-based solutions using
AWS services
(EC2, Lambda, S3, SQS, SNS, etc.)
Design, use and manage
databases
, including PostgreSQL, Neo4J, Redis, and Elasticsearch
Develop, manage, and optimize
containerized applications
using Docker
Automate processes
using Bash/Python scripting
Optimize and maintain
RESTful APIs
, ensuring security and performance
Work closely with frontend engineers, DevOps, and product team
to deliver robust applications
Monitor, debug, and improve
backend performance
, reliability, and scalability
Implement
caching, messaging queues, and event-driven architectures
where needed
Build whole platform
from scratch
Must have skills
5+ years
of
GoLang
experience
Hands-on coding mentality;
can build things from scratch and familiar with different architectures
Hands-on experience with
Docker, Kubernetes
(EKS) and containerized workloads
Experience designing
RESTful
and
gRPC
APIs and using frameworks like
Gin
Hands-on experience with messaging systems (e.g.,
SQS
,
Kafka
)
Experience with
CI/CD pipelines
(GitHub Actions or similar)
Experience operating
PostgreSQL (RDS / Aurora), Neo4J(or similar)
Experience with
AI agents
, LLM-based systems, MCP, RAG, Prompts, Embeddings, Vector, etc
Experience with
AI stack
(AWS Bedrock, LangChain, pgvector or similar)
Experience with
Infrastructure as Code
(Terraform)
Experience with
monitoring, logging, observability
(Grafana, OpenTelemetry, Prometheus)
Ability to
troubleshoot
production issues end to end
Experience with
Coding CoPilots
(Claude Code, GitHub Copilot, AWS CodeWhisperer, Codex, etc.)
Experience supporting
production SaaS platforms
Strong understanding of
SaaS integrations
and app-to-app permission flows
High ownership mentality, startup mindset, and ability to move quickly
Experience in
startup or scale-up environments
Low ego, high commitment, and a
true tech startup mentality
Strong
problem-solving skills
and ability to work in a collaborative environment
Excellent
English
communication skills
Nice-to-have requirements
Experience working with
Java
Ability to code in
Python
Experience with security architecture, identity security, or
security engineering
Familiarity with
compliance frameworks
(NIS2, DORA, ISO 27001, SOC 2)
Experience with
AWS
in production environments
Exposure to
graph-based modeling
(identity graph, access graph, risk graph)
Familiarity with
compliance frameworks
(NIS2, DORA, ISO 27001, SOC 2)
Understanding of
OAuth/OIDC, API tokens, IdP, scopes, SSO, SCIM, roles, RBAC/ABAC, service accounts
Familiarity with cloud identity and security controls (e.g.
IAM, CloudTrail, Azure Active Directory / Entra ID
)
Hands-on with SIEM platforms such as
Splunk, Microsoft Sentinel, or IBM QRadar
Experience designing
permission models, identity graphs, or access control frameworks
Knowledge of tokenization,
Zero Trust principles
, least privilege, and continuous verification
Experience with Security related to
AI/LLM systems, agent logic, or willingness to learn fast
Familiarity with
AI agent behavior
, LLM security, or agent sandboxing
Previous experience in
cybersecurity
, identity startups
You are a fan of
rock or metal
music
Excellent
German
communication skills
Benefits
Founding Team Member Equity
— ESOPs in a cybersecurity company
Competitive Compensation
— salary aligned with market, flexible early-stage arrangements possible
Founding Team Member Status
— shape the company from day one and own critical technical decisions
Fresh Funding Secured
— immediate runway to build, hire, and execute fast
Security Contribution
— contribute to security architecture across identity, AI agents, and enforcement
High Autonomy
— freedom to design and build without corporate overhead
Work with a Technical CEO and CPTO
— fast iteration, strong alignment, clear direction
Cutting-Edge Domain
— identity security, SaaS-to-SaaS access, AI agent governance
Massive Learning Curve
— quickly gain depth in cybersecurity, identity, and AI systems
Fast Career Path
— opportunity evolve into leadership as we scale the engineering team
Berlin Location
— top-tier tech environment with strong cybersecurity and AI ecosystems
Direct Impact
— your architecture and code become the foundation of the entire platform
Best Equipment and Tools
- High quality equipment and modern tools to help you do your best work from day one
Team Offsites -
Regular team offsites designed to build strong connections, alignment, and shared momentum
Location: Limassol
Workplace: hybrid
The Role:
At XM, our people are our greatest asset, and you’ll be the voice that brings their stories to life. Through compelling content, campaigns, and initiatives, you’ll highlight our Big. Fair. Human. Values and what it truly means to work at XM, connecting with employees and future talent around the world.This role will give you the opportunity to shape how candidates and employees experience our brand, making every touchpoint meaningful and telling the story of the XM journey with authenticity and impact.
The main responsibilities of the position include:
Employer Brand Activation (EVP):
Support the global rollout of our EVP, ensuring
our
Big. Fair. Human. values are consistently experienced across both the employee and candidate journey
Design and scale our Employee Advocacy program, empowering our people to become authentic storytellers and brand ambassadors
Content engagement & Storytelling:
P
roduce compelling content that highlights the personal and professional journeys of our people, highlighting growth, achievements and the unique ‘Life at XM’ experience
Ensure all talent attraction and employer branding campaigns maintain a consistent, world-class brand standard across internal and external channels
Events & Brand Experience:
Drive end-to-end employer branding initiatives for global career fairs and university events, including coordination of booth concepts and branded materials to delivering an engaging XM brand experience
Support internal employer brand moments, such as employee campaigns, initiatives, and key company events, to strengthen engagement and pride in the XM brand
Digital Presence and Channels Management:
Manage, monitor and optimise XM’s presence across key EB platforms and our Careers site, ensuring a best-in-class digital candidate experience
Manage and respond to platform reviews, converting candidate feedback into actionable business insights
Execute targeted online campaigns, using paid social and digital advertising to reach high-priority talent pools and drive high-quality applications
Analysis & Continuous Improvement:
Turn engagement metrics and employee/candidate feedback into tangible solutions that drive continuous improvement and measurable ROI across all branding initiatives
Benchmark global market trends and emerging technologies to consistently evolve and strengthen the XM employer brand
Main Requirements:
Bachelor’s degree in Human Resources, Marketing, Communications, Business Administration, or a related field. A relevant master’s degree will be considered a plus
4+ years of experience in employer branding, recruitment marketing, talent attraction, or a related field, ideally within a large-scale, multinational organization
Proven experience developing and evolving employer branding strategies aligned with global best practices
Experience working with employer branding tools, content management systems, and social media platforms
Strong project management skills, with experience delivering large-scale branding initiatives across multiple locations and diverse talent markets
Data-driven mindset with the ability to analyse trends, measure impact, and optimise strategies
A natural storyteller with strong content creation, social media, and digital marketing skills
Creative thinker with a passion for branding, engagement, and talent attraction
A dynamic, enthusiastic brand advocate who embodies the culture of XM
Benefit from:
Attractive remuneration package plus performance related reward
Private health insurance
Corporate pension fund
Intellectually stimulating work environment
Continuous personal development and international training opportunities
The Hiring Experience: What Awaits You
Let’s Connect – Intro Chat with Talent Acquisition
Deep Dive – First Interview with Your Future Team
Test your edge – Personality Assessment
Final Connection – Final Interview
All applications will be treated with strict confidentiality!
By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.
Location: Hybrid - San Francisco
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the role
Vercel is hiring a Strategic Cloud Partnerships Lead to own and grow our relationships with the cloud and infrastructure companies that underpin our platform and help us reach enterprise customers.
This role sits at the intersection of infrastructure, product, and go-to-market. You will work with Vercel’s Product and Engineering teams to understand how we use our partners’ infrastructure today, identify where deeper technical collaboration could improve our platform or economics, and turn those opportunities into executable partnership strategies. At the same time, you will build joint go-to-market motions that create pipeline, accelerate enterprise deals, and make Vercel more strategic to our partners’ field organizations.
This is a hybrid position, based in San Francisco, with in-office anchor days on Monday, Tuesday, and Friday.
What you'll do
Own a named set of strategic cloud partners end to end, with accountability for the health, growth, and business impact of each relationship
Develop a clear strategy and joint business plan for each partner, covering technical priorities, commercial opportunities, go-to-market motions, investments, and measures of success
Build a detailed understanding of how Vercel uses each partner’s infrastructure today and identify opportunities to improve performance, reliability, geographic reach, product capabilities, or unit economics
Build the business case for new initiatives: size the opportunity, define the customer value, scope the technical investment, model the economics, and give leadership a clear recommendation
Develop and execute joint go-to-market motions, including co-selling, account mapping, marketplace programs, solution development, field enablement, demand generation, and executive engagement
Lead negotiations involving cloud consumption, commercial commitments, marketplace terms, co-sell investments, product integrations, and joint customer offerings
Lead cross-functional teams across Product, Engineering, Infrastructure, Sales, Marketing, Finance, and Legal to move initiatives from concept through agreement, launch, and growth
What you need
8+ years of experience in cloud partnerships, strategic alliances, business development, enterprise sales, or a related role at a cloud, infrastructure, developer tools, or platform company
A track record of building and growing strategic relationships with major cloud or infrastructure providers
Strong go-to-market experience, including developing joint value propositions, launching co-sell motions, creating pipeline, and helping close complex enterprise opportunities
Strong technical fluency across modern cloud infrastructure and application delivery. You do not need to be an engineer, but you can understand architectures, ask incisive technical questions, and earn credibility with product and engineering teams
Commercial judgment and experience negotiating complex agreements, including cloud commitments, marketplace terms, co-sell structures, or joint product initiatives
Strong agency and comfort with ambiguity. You identify what matters most, decide where to invest, and can defend the choice
Excellent written and verbal communication with executives, technical leaders, field teams, and customers
Compensation & Benefits:
Competitive compensation package, including equity.
Inclusive Healthcare Package.
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
Flexible Time Off.
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.
The San Francisco, CA salary range for this role is $234,000-286,000 plus annual bonus. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
Disclosures:
Privacy:
Please review our
Job Applicant Privacy Policy
for more information on how we handle your data.
Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
ГибридSan Francisco
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