Location: Pakistan (Remote)
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the Opportunity
We are looking for an experienced, commercially aware, and regulatory-savvy compliance professional to join us as Head of Compliance and Money Laundering Reporting Officer (MLRO).
The role will be instrumental in building the compliance programme from the ground up, and embedding a culture of compliance across the organisation.
Broader team management responsibilities will be added in due course for regulatory strategy, operational execution, and governance.
What You’ll Be Doing
Regulatory Engagement
Serve as the primary point of contact with relevant regulatory bodies.
Ensure the organisation meets all applicable governance requirements, including fit and proper obligations for Approved and Designated Persons.
Monitor and interpret regulatory developments relevant to virtual assets, and advise senior management and the Board accordingly.
Compliance Programme Development & Management
Design, implement, and maintain a comprehensive compliance framework aligned with local requirements, FATF recommendations, and international best practice for virtual asset service providers (VASPs).
Develop, review, and update all internal policies and procedures covering AML/CFT, KYC, customer due diligence (CDD), enhanced due diligence (EDD), transaction monitoring, sanctions screening, data protection, cybersecurity compliance, and safeguarding of client assets.
Establish and oversee the compliance monitoring programme, including periodic testing, gap analysis, and reporting to senior management and the Board.
Prepare and present regular compliance reports to the Board and relevant committees, including on regulatory changes, compliance breaches, and remediation progress.
Ensure compliance considerations are integrated into new product design and operations from the inception phase by driving solutions that balance commercial outcomes and innovation, while maintaining a robust compliance posture using a clear risk-based approach.
Review technical documentation, user journeys, and product flows to ensure compliance risks are addressed; provide clear, actionable and solution-focused advice during the product lifecycle.
Build and scale compliance policies governing advertising, social media campaigns, influencer partnerships, and product launches.
Partner with Legal, Product, and Marketing teams to operationalize a timely review process for client-facing assets and go-to-market materials.
AML/CFT & MLRO Duties
Act as the designated MLRO, with full statutory responsibility for overseeing the organisation's AML/CFT framework.
Receive, review, and assess all internal Suspicious Transaction Reports (STRs) from staff, and make informed decisions on whether to file external disclosures with competent local authorities.
Oversee and continuously improve the transaction monitoring programme, with support from global compliance and product functions.
Ensure robust sanctions screening against all applicable lists, including OFAC, UK OFSI, UN, EU, and applicable local sanctions designations.
Oversee customer risk scoring, risk-based KYC/CDD processes, and enhanced due diligence for high-risk customers, politically exposed persons (PEPs), and customers from high-risk jurisdictions.
Governance & Culture
Act as a key member of the senior leadership team, providing compliance input on new products, services, partnerships, and business initiatives.
Champion a strong compliance culture across the organisation through training, communications, and leadership by example.
Design and deliver AML/CFT and compliance training programmes for all staff, ensuring completion records are maintained.
Ensure that the organisation's compliance obligations are adequately resourced, and advise the Board on staffing, systems, and budget requirements.
Establish and maintain a compliance manual, risk register and oversee the escalation and resolution of compliance incidents and breaches.
Reporting & Recordkeeping
Prepare and submit all required regulatory reports and notifications to relevant authorities within stipulated deadlines.
Ensure that all compliance records, SAR documentation, KYC files, and transaction monitoring records are maintained in accordance with applicable retention requirements.
Support and facilitate any inspections, supervisory visits, or regulatory examinations.
What We Look For In You
Qualifications
Bachelor's degree in Law, Finance, Business, or a related field. A postgraduate qualification is advantageous.
Professional certification in compliance or AML is strongly preferred (e.g. CAMS, ICA Certificate/Diploma in AML or Compliance, CFE, or equivalent).
Experience
Minimum of 8 years of experience in compliance, AML, or financial crime prevention, with at least 3 years in a senior or leadership compliance role.
Demonstrated in-house experience working within virtual asset service providers (VASPs), cryptocurrency exchanges, fintech firms, or regulated financial institutions.
Prior experience as an MLRO or Deputy MLRO is highly desirable.
Experience engaging directly with financial regulators and the financial intelligence unit
Hands-on experience building compliance programmes from the ground up in a start-up or scaling environment is a significant advantage.
Familiarity with the regional regulatory framework and requirements is strongly preferred.
Knowledge & Skills
Deep understanding of FATF Recommendations and their application to virtual asset service providers, including the Travel Rule (FATF Recommendation 16)
Strong knowledge of crypto-specific AML typologies.
Proficiency with blockchain analytics and transaction monitoring tools (e.g. Chainalysis, Elliptic, TRM Labs, or equivalent).
Excellent written and verbal communication skills in English and Urdu.
Strong analytical and investigative skills, with the ability to identify and articulate complex risk scenarios clearly.
Demonstrated ability to engage constructively with regulators, external auditors, and law enforcement.
High degree of personal integrity and sound professional judgment.
Nice to Haves
Experience in cryptocurrency or blockchain compliance programs.
Experience working in a multi-national financial institution setting.
Familiarity with compliance technology and analytics tools.
Prior exposure to multi-jurisdictional compliance oversight.
In-depth knowledge of crypto products, including spot trading, derivatives, staking, lending/borrowing, DeFi, and stablecoins.
Additional Notes
This role will be subject to fit and proper assessment as part of the licensing process. Candidates must be prepared to undergo background checks, provide regulatory questionnaires, CVs, references, and proof of relevant qualifications. Prior enforcement history, regulatory sanctions, or unexplained gaps in professional record may affect eligibility.
Perks &
Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Indonesia (Remote)
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the Opportunity
We are looking for an experienced, commercially aware, and regulatory-savvy compliance professional to join us as Head of Compliance and Money Laundering Reporting Officer (MLRO).
The role will be instrumental in building the compliance programme from the ground up, and embedding a culture of compliance across the organisation.
Broader team management responsibilities will be added in due course for regulatory strategy, operational execution, and governance.
What You’ll Be Doing
Regulatory Engagement
Serve as the primary point of contact with relevant regulatory bodies.
Ensure the organisation meets all applicable governance requirements, including fit and proper obligations for Approved and Designated Persons.
Monitor and interpret regulatory developments relevant to virtual assets, and advise senior management and the Board accordingly.
Compliance Programme Development & Management
Design, implement, and maintain a comprehensive compliance framework aligned with local requirements, FATF recommendations, and international best practice for virtual asset service providers (VASPs).
Develop, review, and update all internal policies and procedures covering AML/CFT, KYC, customer due diligence (CDD), enhanced due diligence (EDD), transaction monitoring, sanctions screening, data protection, cybersecurity compliance, and safeguarding of client assets.
Establish and oversee the compliance monitoring programme, including periodic testing, gap analysis, and reporting to senior management and the Board.
Prepare and present regular compliance reports to the Board and relevant committees, including on regulatory changes, compliance breaches, and remediation progress.
Ensure compliance considerations are integrated into new product design and operations from the inception phase by driving solutions that balance commercial outcomes and innovation, while maintaining a robust compliance posture using a clear risk-based approach.
Review technical documentation, user journeys, and product flows to ensure compliance risks are addressed; provide clear, actionable and solution-focused advice during the product lifecycle.
Build and scale compliance policies governing advertising, social media campaigns, influencer partnerships, and product launches.
Partner with Legal, Product, and Marketing teams to operationalize a timely review process for client-facing assets and go-to-market materials.
AML/CFT & MLRO Duties
Act as the designated MLRO, with full statutory responsibility for overseeing the organisation's AML/CFT framework.
Receive, review, and assess all internal Suspicious Transaction Reports (STRs) from staff, and make informed decisions on whether to file external disclosures with competent local authorities.
Oversee and continuously improve the transaction monitoring programme, with support from global compliance and product functions.
Ensure robust sanctions screening against all applicable lists, including OFAC, UK OFSI, UN, EU, and applicable local sanctions designations.
Oversee customer risk scoring, risk-based KYC/CDD processes, and enhanced due diligence for high-risk customers, politically exposed persons (PEPs), and customers from high-risk jurisdictions.
Governance & Culture
Act as a key member of the senior leadership team, providing compliance input on new products, services, partnerships, and business initiatives.
Champion a strong compliance culture across the organisation through training, communications, and leadership by example.
Design and deliver AML/CFT and compliance training programmes for all staff, ensuring completion records are maintained.
Ensure that the organisation's compliance obligations are adequately resourced, and advise the Board on staffing, systems, and budget requirements.
Establish and maintain a compliance manual, risk register and oversee the escalation and resolution of compliance incidents and breaches.
Reporting & Recordkeeping
Prepare and submit all required regulatory reports and notifications to relevant authorities within stipulated deadlines.
Ensure that all compliance records, SAR documentation, KYC files, and transaction monitoring records are maintained in accordance with applicable retention requirements.
Support and facilitate any inspections, supervisory visits, or regulatory examinations.
What We Look For In You
Qualifications
Bachelor's degree in Law, Finance, Business, or a related field. A postgraduate qualification is advantageous.
Professional certification in compliance or AML is strongly preferred (e.g. CAMS, ICA Certificate/Diploma in AML or Compliance, CFE, or equivalent).
Experience
Minimum of 8 years of experience in compliance, AML, or financial crime prevention, with at least 3 years in a senior or leadership compliance role.
Demonstrated in-house experience working within virtual asset service providers (VASPs), cryptocurrency exchanges, fintech firms, or regulated financial institutions.
Prior experience as an MLRO or Deputy MLRO is highly desirable.
Experience engaging directly with financial regulators and the financial intelligence unit
Hands-on experience building compliance programmes from the ground up in a start-up or scaling environment is a significant advantage.
Familiarity with the regional regulatory framework and requirements is strongly preferred.
Knowledge & Skills
Deep understanding of FATF Recommendations and their application to virtual asset service providers, including the Travel Rule (FATF Recommendation 16)
Strong knowledge of crypto-specific AML typologies.
Proficiency with blockchain analytics and transaction monitoring tools (e.g. Chainalysis, Elliptic, TRM Labs, or equivalent).
Excellent written and verbal communication skills in English and Bahasa Indonesia.
Strong analytical and investigative skills, with the ability to identify and articulate complex risk scenarios clearly.
Demonstrated ability to engage constructively with regulators, external auditors, and law enforcement.
High degree of personal integrity and sound professional judgment.
Nice to Haves
Experience in cryptocurrency or blockchain compliance programs.
Experience working in a multi-national financial institution setting.
Familiarity with compliance technology and analytics tools.
Prior exposure to multi-jurisdictional compliance oversight.
In-depth knowledge of crypto products, including spot trading, derivatives, staking, lending/borrowing, DeFi, and stablecoins.
Additional Notes
This role will be subject to fit and proper assessment as part of the licensing process. Candidates must be prepared to undergo background checks, provide regulatory questionnaires, CVs, references, and proof of relevant qualifications. Prior enforcement history, regulatory sanctions, or unexplained gaps in professional record may affect eligibility.
Perks &
Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company event
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: New York; 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
Baseten's GTM org is in hyper growth. As it grows and matures, the needs of the GTM stack get more sophisticated with scale — and this team exists to stay ahead of those needs. Our GTM Engineering team plays a critical role in building and maintaining the connective tissue across Baseten’s GTM tools, processes, and user experience for the field.
The GTM tooling landscape is changing fast, and the teams that win are the ones that adapt and iterate the fastest. This role exists to make sure Baseten is one of them.
You'll design, build, and ship AI-powered workflows that scale our GTM functions as a competitive advantage. We want someone who can walk in, audit what we have, identify what we're missing, and start shipping fast.
You know when to reach for Clay and when to build something custom in Claude Code. You think two to three steps ahead about how the thing you build today fits into the broader systems architecture tomorrow. And you bring a point of view — on our stack, on what we should be building, and on where AI can do something low-code tooling simply can't.
RESPONSIBILITIES
- Ship AI-powered workflows for the field — build the agents and automations that give reps and managers real leverage, off-loading the manual and repetitive work. Reach for AI where it does something low-code can't.
- Get insights in front of reps — turn Salesforce, warehouse, and usage data into the dashboards, scores, and alerts reps actually act on. A build isn't done until the field is using it.
- Audit the stack and generate your own backlog — we have a lot of tools, some overlap, and real gaps. Walk in with a point of view, identify what's missing or broken, and prioritize without waiting to be handed a roadmap.
- Ship rep-productivity workflows fast — triage asks from the field, find the low-hanging fruit, and build it. A good week looks like a VP of Sales asking for something Monday and having it live by Wednesday.
- Know when to go custom — not everything belongs in a point-and-click tool. Spin up bespoke AI-powered solutions in Claude Code when the problem calls for it, and make that call with judgment, not default.
- Think in systems, not solutions — every workflow you build has upstream and downstream implications. Anticipate them, design for them, and don't create technical debt that someone else has to unwind six months later.
- Integrate third-party APIs to sync events and information across disparate systems — ensuring data flows reliably between the tools your team depends on every day.
- Document what you build — if people can't find it, understand it, or trust it, it doesn't matter how well it works.
REQUIREMENTS
- 3+ years of experience in GTM Engineering, workflow automation, or a technical RevOps role — ideally at a high-growth, AI-native B2B company
- You’ve shipped production agents on Vercel — build custom internal GTM apps and agents on Vercel, with durable workflows and sandboxed execution, so what you ship runs reliably in production instead of as one-off scripts
- Genuine fluency with AI coding assistants and agent tooling (Claude Code, Cursor, Codex, or similar) — you're actively building with these tools in production, not just experimenting
- Hands-on experience with Clay as a primary enrichment and workflow tool — you have opinions about how to use it well and you've pushed it to its limits
- Direct experience with Salesforce — you know the data model, you've built on it, and you're comfortable owning CRM-level changes
- A track record of owning end-to-end AI and automation workflows, not just contributing to or consuming them
- Proficiency with integration and automation platforms (n8n, Zapier, Make, Workato, or similar) and a fundamental understanding of APIs and webhooks
- Strong judgment on the build decision — you know when low-code gets you 80% of the way there and when it becomes the bottleneck, and you act accordingly
- Experience in high-growth B2B technology companies
NICE TO HAVE
- Familiarity with enrichment and data-provider ecosystems beyond Clay
- Comfort building reporting and alerting on a data warehouse (BigQuery, Databricks) and BI layer (Sigma, Hex) — not as a data engineer, but as a consumer and builder on top of the data layer
- Experience building with agent platforms (Gumloop, n8n, Notion Agents, etc.) and/or agent frameworks (Vercel AI SDK, Claude Agent SDK, Mastra, etc.)
- Experience with highly technical software sales cycles and complex GTM motions
- An instinct for stack consolidation — you've inherited a messy tool environment before and helped bring it toward something more intentional without breaking what works
- Systems thinker — you naturally break problems into composable parts, building solutions with separation of concerns so they're reusable, extensible, and easy to maintain
- Comfortable with a little sprawl — you're not paralyzed by ambiguity or imperfect tooling. You know how to experiment, build fast, and clean up as you go
- Challenging work and exposure to a variety of ML startups.
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).
Responsibilities
Underwriting Framework and Credit Policy:
— Design the fund's underwriting framework from scratch: credit policy, underwriting standards, rating and scoring methodology, credit memo templates, and approval workflows — built for LP diligence from day one.
— Build the data edge into the process: integrate Xsolla's payments telemetry and game-revenue data into underwriting as a durable information advantage.
Deal Underwriting and Structuring:
— Lead the underwriting of lending facilities to game studios and gaming businesses: financial analysis, revenue durability, downside cases, and recovery analysis.
— Structure facilities: term loans, revolvers, royalty- and revenue-based structures — including covenants, collateral packages, borrowing bases, and pricing.
— Draft and negotiate term sheets and credit documentation with borrowers alongside external counsel.
Credit Committee and Governance:
— Stand up and run the credit committee process: present transactions, document decisions, and maintain an audit trail that stands up to LP and auditor scrutiny.
— Establish portfolio monitoring: watchlist discipline, covenant tracking, and a workout playbook as the portfolio builds.
LP Diligence and Fundraising Support:
— Be the credit face of the fund: appear in fund materials and LP meetings as the fund's credit authority; own underwriting answers in LP due diligence.
— Support capital formation: help shape the fund's risk-return narrative, portfolio construction guidelines, and track-record presentation.
Credit Playbook and Team Building:
— Codify the credit playbook: standards, templates, and documentation that make the fund's underwriting repeatable and audit-ready.
— Build the bench: as the fund scales, hire and mentor the junior credit team — analysts, associates, and in time a portfolio/risk officer.
Qualifications and Skills
Experience:
— 7+ years in private credit, direct lending, specialty finance, or leveraged finance, with personal responsibility for underwriting and closing institutional credit transactions.
— Experience at an early-stage or first-time credit fund — credit policy written from scratch, LPA input, first LP diligence — is strongly preferred.
— Lending against media, IP, royalties, recurring digital revenue, or gaming businesses is a strong plus.
— A track record you can walk LPs through: deals underwritten, structures used, and how they performed — including the ones that went wrong and what you did about it.
Skills and Competencies:
— Deep fluency in credit analysis, financial modeling, covenant design, collateral structures, and credit documentation.
— The gravitas to sit across from LPs, investment committees, and founders — and the judgment to say no to a deal.
— Enjoys mentoring junior team members and building a strong credit culture as the team grows.
— Comfort operating in a lean, fast-moving team where you build the machine you then operate.
Education and Credentials:
— A bachelor's degree in finance, economics, business, or a related field; an MBA and/or a CFA charter is preferred.
Benefits:
— 100% company-paid medical, dental, and vision plans.
— Unlimited Flexible Time Off.
— Personalized career roadmap for each employee.
— Professional development through training and educational opportunities.
— Supportive environment prioritizing physical, mental, and emotional well-being of employees and their families.
Location: Ukraine; Armenia; Georgia; Jordan; North Macedonia; Poland
Company: Crystalia Glass
Contract: B2B
Format: Remote
Market: US
Working hours: at least 6 hours of daily overlap with US Eastern time (8:30 AM-5:00 PM ET)
Media budget: $200K+/month ($2.4M+ per year)
Crystalia Glass is a US manufacturer and installer of premium architectural glass systems for residential and commercial interiors, including glass partitions, sliding glass walls, and steel- and aluminum-framed systems.
We are looking for a Marketing Team Lead who will turn the CMO's strategy into execution, lead our distributed marketing team day to day, and own the performance of our paid channels. This is a hands-on leadership role for someone who brings solutions, not questions.
WHAT YOU'LL DO
• Build quarterly plans, set team priorities, and deliver on agreed targets independently
• Lead the marketing team day to day: task allocation, 1:1s, feedback, performance management
• Own the performance of Paid Search and Paid Social: optimize campaigns and reallocate budget between channels within agreed limits
• Lead AI adoption across the team: design and launch AI workflows for content, creative, lead qualification, and reporting, with measurable impact
• Review and approve briefs, creatives, content, and landing pages before launch
• Run funnel analytics and weekly reporting (GA4, GTM, HubSpot, dashboards, attribution)
• Manage SEO, content, and CRM initiatives through the specialists who own them
• Manage agencies and contractors based on outcomes; recommend replacements when needed
• Work with Sales leadership as a peer: analyze lost deals, objections, CRM notes, and call recordings, and turn findings into changes in messaging, targeting, and content
• Execute partnership and PR programs with architects, interior designers, and trade professionals
• Build documented processes, briefs, and quality standards
• Act as the CMO's deputy when needed
REQUIREMENTS
• 3-5+ years in marketing, including 1-2 years of team leadership
• Direct experience managing about 4+ marketing specialists or contractors, including hiring, feedback, performance management, and tough personnel decisions
• US-market marketing experience: demand generation and brand presence, with accountability for results
• Hands-on AI implementation in marketing operations with measurable results
• Experience managing paid media budgets and reallocating them between channels
• Strong analytics: GA4, Google Tag Manager, HubSpot (pipelines, workflows, lead scoring, attribution reports), Google Ads, Meta Ads Manager, Search Console, Ahrefs or Semrush
• Experience with agent and automation platforms (n8n, Make, Zapier AI, HubSpot Breeze, Claude or OpenAI APIs), AI image and video tools, landing page optimization and A/B testing, Figma or Canva for design review, and call recording tools (Gong or similar)
• English C1 with strong written English
STRONG ADVANTAGES
• Premium or luxury market experience; interior design, architecture, high-end residential construction, furniture, or similar
• Marketing through architects, designers, contractors, or other specifier channels
• Showroom, trade-show, or physical retail marketing
• New product launches in an established market
• PR and media relations in design, architecture, or lifestyle
• Experience with AI agents and prompt engineering
WHO THRIVES HERE
Analytical and data-driven, with strong ownership and independence. Accountable for outcomes, comfortable in a lean and fast-changing organization, and able to balance brand building with measurable revenue.
Location: Singapore, Singapore
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the Opportunity
Singapore based, we are looking for an experienced
Senior Product Manager – AI Risk Strategy
to lead the evolution of OKX Buy/Sell Crypto risk control capabilities. You will own the end-to-end risk strategy across transaction risk, fraud prevention, review operations and AI-powered decision making.
At OKX, you will have the opportunity to build next-generation AI-native risk systems that protect millions of users worldwide. You will play a key role in redefining how AI Agents, Large Language Models and intelligent decision engines transform fraud prevention and operational efficiency across one of the world's leading crypto platforms. This role is highly data-driven and requires strong ownership. You will independently analyze risk data, identify fraud patterns, design and optimize risk strategies, and drive the transformation from traditional manual review to AI Agent-powered intelligent review. You will work closely with Engineering and Risk Operations teams to build scalable, intelligent and efficient risk systems.
What You’ll Be Doing
Own the end-to-end risk strategy for Buy/Sell Crypto products, including transaction risk control, fraud prevention, review workflows and decision engines.
Design and continuously optimize the risk control architecture, including rule engines, policy engines, model orchestration and review systems.
Independently analyze large-scale transaction and risk data to identify fraud patterns, emerging attack vectors and strategy optimization opportunities.
Design, implement and iterate risk policies based on data-driven insights to improve fraud detection while minimizing user friction.
Define and optimize model policies, decision thresholds, confidence scores and human-in-the-loop review mechanisms.
Conduct root cause analysis, monitor risk performance and perform A/B testing to continuously improve strategy effectiveness.
Lead the transformation of manual review into AI Agent-powered intelligent review by designing LLM-driven workflows, reviewing policies and operational processes.
Drive continuous optimization of AI Agents through prompt engineering, policy iteration, feedback loops and model evaluation.
Improve operational efficiency by increasing automation, optimizing resource utilization and reducing manual review costs.
Partner closely with Engineering teams to deliver scalable, reliable and intelligent risk systems.
What We Look For In You
Bachelor's degree or above in Computer Science, Artificial Intelligence, Engineering, Mathematics or a related discipline.
5+ years of experience in Risk Strategy, Fraud Detection, Risk Product Management, Trust & Safety or related fields.
Strong experience designing transaction risk strategies, fraud detection systems or review platforms.
Proven ability to independently analyze large datasets, identify risk patterns and translate insights into effective risk strategies.
Strong SQL skills and hands-on experience with data analysis. Experience with Python, Spark or other analytical tools is a strong plus.
Experience designing and optimizing rule engines, policy engines, risk scoring or decision engines.
Strong understanding of fraud prevention, transaction risk, payment risk, account security or related risk domains.
Experience designing model policies, evaluation metrics and strategy iterations for machine learning or AI-based systems.
Hands-on experience with Large Language Models (LLMs), including prompt engineering, policy design, model evaluation and production iteration.
Experience designing or implementing AI Agent workflows, AI-assisted review systems or intelligent operational processes.
Strong analytical thinking with the ability to perform root cause analysis and make data-driven decisions.
Excellent problem-solving skills with a high level of ownership and execution.
Fluent in both English and Mandarin to support cross-functional collaboration in a global environment.
Nice to Haves
Experience in cryptocurrency, fintech, payments, banking or internet risk control.
Experience building AI-native products or AI-powered operational systems.
Familiarity with Retrieval-Augmented Generation (RAG), agent orchestration, tool calling and model evaluation frameworks.
Experience with A/B testing, strategy experimentation and online/offline model evaluation.
Knowledge of AML, KYC, payment fraud, account takeover, scam prevention or identity risk.
Experience working with AI coding assistants or automation tools to improve product development efficiency.
Perks &
Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
#LI-ONSITE
#LI-WWW
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Chicago, Illinois
Fin
, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.
Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.
Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.
What's the opportunity?
It’s an exciting time at Fin - especially within our Deployment Services team. We’re helping some of the world’s most innovative companies transform how they support their customers through AI-powered customer service.
As a
Senior
AI Deployment Consultant
, you’ll lead our largest and most complex customer deployments, combining world-class project management with hands-on technical configuration of the Fin platform. You’ll be the trusted advisor who ensures our customers achieve value quickly and at scale, guiding them not only to do the foundations, but set a direction on how they measure their impact with AI.
You’ll partner with a dedicated team of engineers for complex technical work while managing the overall project strategy, timeline, and delivery. This is a perfect role for someone who thrives at the intersection of technology, customer success, and execution excellence.
What will I be doing?
Own end-to-end deployment programs for our largest customers, ensuring successful and timely implementation to Fin - acting as a primary point of contact throughout.
Hold projects to scope, schedule, and budget that align with each customer’s unique goals and support model and keep GTM partners current on project state.
Lead discovery sessions to understand complex customer requirements and translate them into actionable technical and project plans.
Own the hands-on configuration of the Fin platform—spanning automation, workflows, and analytics—while orchestrating technical readiness across data migrations, integrations, and security protocols.
Partner with Forward Deployed Engineers to solve complex technical hurdles while maintaining autonomy over the vast majority of platform implementation.
Coordinate technical readiness activities, including integrations, data migrations, and security reviews.
Run projects with operational precision: maintained risk logs, a structured reporting cadence to both customer and internal leadership, clear escalation paths, and documented decisions. Surface risk early enough that it can be mitigated rather than managed.
Partner with Sales, Customer Success, Product, and R&D - shaping deployment strategy up front and feeding what you learn in the field back into the roadmap.
Contribute to the evolution of our Deployment Services methodology, templates, and best practices.
Apply AI tooling to your own delivery work to compress discovery, documentation, and asset creation - and share what works back to the team.
What skills do I need?
5+ years of experience in customer-facing implementation, deployment, or professional services roles, ideally within SaaS or AI technology companies.
A track record of delivering large, complex, multi-stakeholder projects on time and on budget with low escalation rates - and a clear point of view on the operating discipline that makes that repeatable.
Hands-on technical capability. You can configure platforms yourself, and you're fluent enough in APIs, data flows, and integration patterns to know when a requirement is a config problem versus an engineering one.
Exceptional communication and relationship-building skills, capable of influencing both executives and technical stakeholders.
Strong judgment under ambiguity - you can prioritize, decide, and move when requirements aren't fully formed, and you're resilient in a fast-paced, changing environment.
Daily use of AI tooling in your own workflow - discovery synthesis, documentation, customer assets - and the ability to show how it's changed your delivery pace. We'll ask about this.
Experience with Intercom Helpdesk, Zendesk, Salesforce, or similar CX platforms is a plus.
How Will I Be Measured?
Automation Rate - Are you driving your customers to achieve high adoption of Fin?
CX Score — do customers rate the deployment experience highly?
On-time, on-budget delivery — do your projects land against the timeline and scope you committed to?
Time-to-value — how quickly do customers get to a working, measurable Fin deployment?
Contribution to the team — the templates, mentorship, and best practices you leave behind.
*Proof of eligibility to work in the United States is required.
The base salary range for candidates within the Greater Chicago Area is $109,000-$159,650. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs).
#LI-Hybrid
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at
fin.ai/careers
. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
Policies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our
core values
.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
Know your rights: workplace discrimination is illegal.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
Location: San Francisco, California
Fin
, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.
Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.
Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.
What's the opportunity?
It’s an exciting time at Fin - especially within our Deployment Services team. We’re helping some of the world’s most innovative companies transform how they support their customers through AI-powered customer service.
As a
Senior
AI Deployment Consultant
, you’ll lead our largest and most complex customer deployments, combining world-class project management with hands-on technical configuration of the Fin platform. You’ll be the trusted advisor who ensures our customers achieve value quickly and at scale, guiding them not only to do the foundations, but set a direction on how they measure their impact with AI.
You’ll partner with a dedicated team of engineers for complex technical work while managing the overall project strategy, timeline, and delivery. This is a perfect role for someone who thrives at the intersection of technology, customer success, and execution excellence.
What will I be doing?
Own end-to-end deployment programs for our largest customers, ensuring successful and timely implementation to Fin - acting as a primary point of contact throughout.
Hold projects to scope, schedule, and budget that align with each customer’s unique goals and support model and keep GTM partners current on project state.
Lead discovery sessions to understand complex customer requirements and translate them into actionable technical and project plans.
Own the hands-on configuration of the Fin platform—spanning automation, workflows, and analytics—while orchestrating technical readiness across data migrations, integrations, and security protocols.
Partner with Forward Deployed Engineers to solve complex technical hurdles while maintaining autonomy over the vast majority of platform implementation.
Coordinate technical readiness activities, including integrations, data migrations, and security reviews.
Run projects with operational precision: maintained risk logs, a structured reporting cadence to both customer and internal leadership, clear escalation paths, and documented decisions. Surface risk early enough that it can be mitigated rather than managed.
Partner with Sales, Customer Success, Product, and R&D - shaping deployment strategy up front and feeding what you learn in the field back into the roadmap.
Contribute to the evolution of our Deployment Services methodology, templates, and best practices.
Apply AI tooling to your own delivery work to compress discovery, documentation, and asset creation - and share what works back to the team.
What skills do I need?
5+ years of experience in customer-facing implementation, deployment, or professional services roles, ideally within SaaS or AI technology companies.
A track record of delivering large, complex, multi-stakeholder projects on time and on budget with low escalation rates - and a clear point of view on the operating discipline that makes that repeatable.
Hands-on technical capability. You can configure platforms yourself, and you're fluent enough in APIs, data flows, and integration patterns to know when a requirement is a config problem versus an engineering one.
Exceptional communication and relationship-building skills, capable of influencing both executives and technical stakeholders.
Strong judgment under ambiguity - you can prioritize, decide, and move when requirements aren't fully formed, and you're resilient in a fast-paced, changing environment.
Daily use of AI tooling in your own workflow - discovery synthesis, documentation, customer assets - and the ability to show how it's changed your delivery pace. We'll ask about this.
Experience with Intercom Helpdesk, Zendesk, Salesforce, or similar CX platforms is a plus.
How Will I Be Measured?
Automation Rate - Are you driving your customers to achieve high adoption of Fin?
CX Score — do customers rate the deployment experience highly?
On-time, on-budget delivery — do your projects land against the timeline and scope you committed to?
Time-to-value — how quickly do customers get to a working, measurable Fin deployment?
Contribution to the team — the templates, mentorship, and best practices you leave behind.
*Proof of eligibility to work in the United States is required.
The base salary range for candidates within the San Francisco Bay Area is $120,000-$177,400. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs).
#LI-Hybrid
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at
fin.ai/careers
. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
Policies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our
core values
.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
Know your rights: workplace discrimination is illegal.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
Location: India
About Flosum
Flosum is the only end-to-end platform purpose-built for Salesforce — trusted by Fortune 1000 enterprises, federal agencies, and high-growth organizations around the world. Our five integrated products — DevOps, Security Orchestration, CodeScan, Backup & Archive, and Data Migrator — give enterprises the confidence to accelerate delivery, simplify compliance, and scale Salesforce with precision.
Founded in Silicon Valley and proudly self-funded, Flosum operates on a single guiding principle: your success is our success. We’re not optimizing for investor optics. We move fast, build with conviction, and put our customers at the center of every decision. The result is a 4.97-star rating on the Salesforce AppExchange and a customer roster that includes Cargill, Hilton, Cushman & Wakefield, and some of the largest federal agencies in the country. We serve enterprise IT leaders, Salesforce architects, DevOps teams, compliance officers, and government agencies — anyone whose organization depends on Salesforce operating securely, efficiently, and at scale.
The Opportunity
Flosum is at an inflection point. We have multiple product lines gaining traction across enterprise and mid-market segments, four active go-to-market motions — outbound sales, inbound/marketing-led, channel/partners, and product-led growth — and a lean, high-performing team that moves with urgency. What we need now is the operating infrastructure to match our
ambition. We’re hiring a Director of Revenue Operations to be the architect of our revenue engine: the person who transforms disconnected GTM motions into a single, data-driven, capital-efficient machine. This is a builder role — not a maintainer role. You will design systems that don’t yet exist, enforce standards that currently aren’t enforced, and build the reporting infrastructure that makes every decision at Flosum smarter. This role reports directly to the CEO and is the highest-leverage operations hire we will make. You will touch every dollar of pipeline, every GTM motion, and every customer-facing team.
What You’ll Own
1. Data, Reporting & Forecasting — Your Primary Mandate
Your first 90 days are about establishing truth. Flosum runs on Salesforce, Marketo, and Gong.io. You will audit each, identify where data integrity breaks down, and rebuild the foundation:
Design and own the forecasting architecture: weighted pipeline using actual historical conversion rates, forecast categories (Commit, Best Case, Upside), and a weekly cadence that drives ±10% accuracy within two quarters
Build a standardized reporting hierarchy from the CEO’s decision-making needs down to frontline dashboards — eliminating the proliferation of reports nobody trusts Implement Salesforce data governance: mandatory stage-exit criteria, validation rules,
controlled picklists, and loss-reason capture on every Closed Lost opportunity Segment reporting and forecasting by GTM motion — PLG self-serve revenue behaves differently from enterprise outbound and must be modeled and tracked separately
Build and maintain the unit economics dashboard: CAC by motion, CAC payback period, LTV:CAC ratio, Magic Number, NRR/GRR, and S&M efficiency trends
2. Marketing Performance & Marketo Operations
You don’t run campaigns — you govern the infrastructure that makes marketing measurable and accountable:
Own the full lead lifecycle in Marketo: definitions, entry/exit criteria, and scoring model governance (with separate demographic and behavioral scores calibrated monthly against SQL conversion rates)
Own Marketo-Salesforce sync governance: field mapping audits, sync log review, and API consumption monitoring
Own multi-touch attribution: first-touch, last-touch, and influence models consistently applied across all four GTM motions
Build and enforce speed-to-lead SLAs and SAL acceptance standards; build recycle plays for disqualified leads
Monitor and report marketing funnel performance — lead volume, MQL-to-SQL conversion, channel efficiency, and marketing-sourced vs. marketing-influenced pipeline — and escalate anomalies before they show up in quarterly misses
3. Sales Process Governance
You are the steward of how Flosum’s revenue actually gets created — not a gatekeeper, but the person who builds the standards:
Design and enforce stage definitions with mandatory exit criteria; build deal desk processes for non-standard pricing and terms
Own territory design, quota allocation methodology, and annual capacity planning — including ramp rates, hiring timelines, and coverage ratio targets by segment
Run the weekly pipeline review cadence with sales leadership: stage conversion anomalies, stale deals, and forecast accuracy
Design compensation plans that drive the right behaviors across all four GTM motions — with clear rules of engagement for multi-touch deals where outbound, inbound, PLG, and partner motions converge on the same account
4. Enablement Execution Through Gong.io
At Flosum, enablement has historically been about delivery — training sessions, playbooks, messaging. You will own the other half: measurement and execution. After any messaging launch or methodology change, you will:
Create Gong AI Trackers for the specific language, frameworks, and discovery questions reps should be using — and build adoption dashboards segmented by rep, team, and region
Surface the gap between what was trained and what is actually happening on calls, and work with sales managers to close it with specific, Gong-sourced coaching examples
Use Gong deal boards for pipeline inspection: multi-threading health, next-steps coverage, competitor mentions, and conversation-based risk signals layered onto CRM data
Build the feedback loop: Enablement trains → Gong measures → RevOps reports gaps → Managers coach with specific call evidence → Enablement iterates. Without this loop, enablement is a cost center. With it, it’s a growth driver.
5. GTM Alignment Across All Four Motions
Running outbound, inbound, channel, and PLG simultaneously creates real operational complexity. You will design the systems that prevent chaos:
Build account-level ownership rules and real-time routing logic to prevent motion collisions (e.g., SDRs prospecting into accounts already working inbound MQLs, AEs working accounts with active PLG users)
Design PQL routing logic with product usage trigger thresholds, account-level checks, and comp plan rules for sales-assisted PLG conversions
Build deal registration governance and conflict resolution SLAs for the partner channel
Own separate Opportunity Record Types per motion in Salesforce with unified roll-up reporting
Run a monthly cross-functional GTM alignment meeting with sales, marketing, CS, and partner leadership — reviewing funnel health per motion and resolving ownership disputes before they fester
What This Role Is Not
We want to be honest about scope. A great RevOps leader at Flosum will push back when the role is being misused:
You will implement an intake process, maintain a visible quarterly roadmap of four to five initiatives, and force trade-off conversations when new requests arrive. You say “not now” to good ideas that aren’t the most important idea.
This is not sales operations with a rebrand. You serve the company, not any single department leader. Your loyalty is to revenue truth — even when the forecast is uncomfortable to present.
Metrics You’ll Own
Pipeline & Forecasting
Forecast accuracy (±10% target within two quarters)
Pipeline coverage by segment (3× SMB, 4× mid-market, 5× enterprise)
Pipeline velocity: (Opportunities × Deal Size × Win Rate) ÷ Cycle Length, targeting +10% improvement QoQ
Stage-to-stage conversion rates trended over time
Marketing (Marketo)
Lead-to-MQL, MQL-to-SQL, SQL-to-Opportunity, and Opportunity-to-Close rates by motion and channel
Marketing-sourced and marketing-influenced pipeline (targets: 30–50% sourced, 50–70% influenced)
Lead velocity rate (month-over-month qualified lead growth)
Speed-to-lead SLA compliance and SAL acceptance rate
Sales (Salesforce + Gong)
Win rates by segment and motion
Quota attainment distribution across the team (healthy target: 70–75% of reps at quota)
Average selling price trends and discounting rate
Sales cycle length by segment
Enablement (Gong)
Gong tracker adoption rates for key messaging and methodology by rep, team, and region
Talk-to-listen ratios and topic coverage by deal stage
Multi-threading indicators per deal stage
Unit Economics
CAC and CAC payback period by GTM motion
LTV:CAC ratio by customer segment (target ≥3:1)
Magic Number (Net New ARR × 4 ÷ prior quarter S&M spend; target >1.0)
Net Revenue Retention and Gross Revenue Retention
S&M as % of revenue (tracking toward 35% as we scale)
Requirements
What We’re Looking For
5–10+ years in Revenue Operations, Sales Operations, or GTM Operations in a B2B SaaS environment
Direct experience operating across multiple GTM motions simultaneously (outbound, inbound, channel, and/or PLG)
Hands-on Salesforce configuration experience — you can build Flows, design the data model, and implement validation rules without delegating everything to a developer
Marketo (or equivalent marketing automation) operational experience: lifecycle architecture, lead scoring, and Marketo-Salesforce sync governance
Gong.io (or equivalent conversation intelligence tool) experience: tracker creation, coaching dashboards, and deal inspection
Demonstrated experience building a forecasting methodology from scratch — not just inheriting one
Financial modeling comfort: unit economics, capacity planning, quota modeling, and comp plan design
Experience at a company with $15M–$75M in ARR; you have built things with your hands, not just directed others to build them
Strongly Preferred
Experience in the Salesforce ecosystem (ISV, SI, or AppExchange partner) — you understand our buyers, our competitive landscape, and our channel dynamics
Experience designing and governing partner/channel ops within a multi-motion GTMmodel
SQL proficiency or experience with a BI tool (Tableau, Looker, Sigma, or equivalent)
Prior experience designing and administering sales compensation plans
The Mindset We’re Hiring For
You Are a Builder
You ask “Why does this exist, and should we rebuild it?” before touching a tool. You ship minimum viable systems and iterate
relentlessly rather than designing perfect architectures that never launch.
You Are Company-First
Your loyalty is to revenue truth, not to any individual department leader. You present the forecast even when it’s uncomfortable. You push back when requests don’t serve the company’s priorities.
You Are a Systems Thinker
You see the revenue engine as an interconnected system. Changing lead scoring
You Are Cost-Conscious
You evaluate every tool, hire, and program through a unit economics lens. You resist “just thresholds ripples into pipeline coverage. Changing stage definitions changes forecast accuracy. You trace causes, not just symptoms add a tool” thinking. Flosum is self-funded and profitable — efficiency isn’t a constraint, it’s a competitive advantage.
Benefits
Build the Operating System for Flosum’s Next Phase of Growth
🏠
Remote-First
📈
B2B SaaS / ISV
🛠
Salesforce Ecosystem
What You'll Get
The authority and executive visibility to actually build — reporting directly to the CEO.
Competitive base salary + performance-based variable compensation + equity
A fully remote-first, global team that moves fast and operates with high trust
The chance to build the GTM operating infrastructure of a profitable, self-funded
Salesforce ISV with a category-leading product and enterprise customer base
Daily exposure to top leaders in Salesforce DevOps and B2B SaaS operations
What We Offer
Opportunity to shape the digital strategy at a high-growth Salesforce ISV.
Collaborative, innovative, and mission-driven culture.
Competitive compensation and benefits.
Career growth in a fast-scaling company serving global enterprises.
Extras (Benefits & Perks)
Competitive compensation, incentive structure, and company equity
Daily coaching, mentorship, and growth opportunity
Be part of a global, mission-driven team
Learn from top leaders in Salesforce DevOps and SaaS sales
Work on exciting challenges in a rapidly growing industry
Location: San Francisco Bay Area, USA
Workplace: Hybrid
Why work at Higgsfield AI?
Higgsfield AI is the fastest-scaling generative AI company in history, hitting $500M in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands.
We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.
About the role:
Higgsfield AI is seeking a Head of Demand Generation to build and scale our global demand generation engine as we continue our rapid growth. This is a senior, hands-on leadership role responsible for driving pipeline creation across enterprise and self-serve motions — owning strategy and execution across digital channels, paid media, ABM, events, and partnerships, while overseeing our lifecycle marketing function to ensure a seamless journey from first touch through renewal and expansion.
You'll work closely with the head of B2B Marketing, Sales, Growth, Product, and Revenue Operations in a fast-paced environment where experimentation, speed, and measurable business impact matter. You'll need to be equal parts strategist and operator: someone who sets the vision and is just as comfortable rolling up their sleeves to execute it.
What you'll do:
Own Pipeline Generation
- Develop and execute the demand generation strategy to drive qualified pipeline across enterprise and PLG motions.
- Build integrated campaigns spanning paid media, content, email, webinars, events, partnerships, and outbound support.
- Create scalable account-based marketing (ABM) programs targeting enterprise customers and strategic accounts.
- Optimize lead generation, conversion, and pipeline velocity across the entire funnel.
Scale Marketing Programs
- Launch and iterate campaigns quickly using data-driven experimentation.
- Partner with Product Marketing to translate product launches, customer stories, and industry trends into high-performing campaigns.
- Collaborate with Growth Marketing to ensure cohesive messaging and customer journeys across self-serve and enterprise audiences.
- Support field marketing initiatives, executive events, and industry conferences.
Measure & Optimize
- Define KPIs and build reporting around pipeline generation, attribution, CAC, conversion rates, and ROI.
- Partner with Revenue Operations to improve lead routing, scoring, attribution, and campaign measurement.
- Continuously test messaging, audiences, creative, and channels to maximize performance.
- Identify opportunities to automate and scale marketing operations.
Cross-Functional Leadership
- Work closely with Sales leadership to align campaigns with pipeline priorities and revenue goals.
- Partner with Customer Success to drive expansion and customer marketing initiatives.
- Help establish scalable demand generation processes as the company continues to grow globally.
Requirements:
- 6-8 years of experience in B2B demand generation, growth marketing, or integrated marketing at a high-growth SaaS or AI company.
- Proven track record of building programs that generate measurable pipeline and revenue.
- Strong understanding of enterprise marketing motions, ABM, and full-funnel demand generation.
- Experience managing paid acquisition channels, lifecycle marketing, webinars, events, and integrated campaigns.
- Strong analytical mindset with experience measuring attribution, funnel performance, and campaign ROI.
- Comfortable partnering closely with Sales, Product Marketing, RevOps, and executive leadership.
- Hands-on operator who enjoys building from scratch while thinking strategically.
- Experience with modern marketing and CRM platforms (e.g., HubSpot, Salesforce, Marketo, 6sense, Clay, Google Ads, LinkedIn Campaign Manager, etc.) is a plus.
- Excellent written and verbal communication skills.
Compensation & Benefits:
- We offer a competitive and thoughtfully structured compensation package designed to align with impact, experience, and long-term growth.
- Base Salary: The anticipated salary range for this role is $220,000 - $320,000, depending on experience, skills, scope, and location.
- Equity: In addition to cash compensation, employees are eligible to participate in the company’s stock option program and share in Higgsfield AI’s long-term growth.
- Benefits: We offer a comprehensive benefits package designed to support employees professionally and personally, including medical, dental, and vision insurance, a competitive 401(k) retirement plan with company matching, and additional benefits and perks.
- The opportunity to work on ambitious AI products alongside a highly experienced, fast-moving, and international team.
- Significant ownership, direct impact, and opportunities for professional growth as the company scales.
This is a fully remote role based in the United States, with occasional business travel to our San Francisco office required for team meetings, planning sessions, company events, and other in-person collaboration. Team members are expected to be available during agreed working hours and maintain sufficient overlap with the relevant team’s time zone. While we work remotely, we value active communication, responsiveness, and close collaboration across teams.
Higgsfield AI is an equal opportunity employer. We are committed to building a diverse and inclusive team and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic.
Location: Remote USA
Workplace: remote
ABOUT THE OPPORTUNITY
Xsolla is seeking a Head of Underwriting to serve as the fund's senior credit authority alongside the Chief Credit Officer. You will design the underwriting framework from a clean sheet, lead the underwriting and structuring of the fund's first facilities, and stand in front of LPs as living proof that the fund underwrites to institutional standards.
This is a builder's mandate. You will codify how this fund underwrites — the credit playbook, standards, templates, and documentation that make the process repeatable and defensible — and, as the team grows, mentor the junior credit hires who operate it.
The role reports directly to Stan Rudoi, Chief Credit Officer and Head of the Xsolla Credit Fund, and sits on the fund's credit committee.
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.
Beyond its core commerce platform, Xsolla is building a private credit fund that lends to video game studios, underwritten with a data advantage no traditional lender has: Xsolla's own payments telemetry across thousands of games. The fund is in its capital formation phase and is led by Stan Rudoi, Chief Credit Officer. This is a ground-floor opportunity to help raise a first-time fund inside a profitable, global gaming-commerce company, alongside the broader Xsolla capital markets ecosystem (Xsolla Funding Club, Xsolla SPAC 1 — Nasdaq: XSLLU, and other strategic vehicles).
For more information, visit xsolla.com.
Responsibilities
Underwriting Framework and Credit Policy
Design the fund's underwriting framework from scratch:
credit policy, underwriting standards, rating and scoring methodology, credit memo templates, and approval workflows — built for LP diligence from day one.
Build the data edge into the process:
integrate Xsolla's payments telemetry and game-revenue data into underwriting as a durable information advantage.
Deal Underwriting and Structuring
Lead the underwriting
of lending facilities to game studios and gaming businesses: financial analysis, revenue durability, downside cases, and recovery analysis.
Structure facilities:
term loans, revolvers, royalty- and revenue-based structures — including covenants, collateral packages, borrowing bases, and pricing.
Draft
and negotiate term sheets and credit documentation with borrowers alongside external counsel.
Credit Committee and Governance
Stand up and run the credit committee process:
present transactions, document decisions, and maintain an audit trail that stands up to LP and auditor scrutiny.
Establish portfolio monitoring:
watchlist discipline, covenant tracking, and a workout playbook as the portfolio builds.
LP Diligence and Fundraising Support
Be the credit face of the fund:
appear in fund materials and LP meetings as the fund's credit authority; own underwriting answers in LP due diligence.
Support capital formation:
help shape the fund's risk-return narrative, portfolio construction guidelines, and track-record presentation.
Credit Playbook and Team Building
Codify the credit playbook:
standards, templates, and documentation that make the fund's underwriting repeatable and audit-ready.
Build the bench:
as the fund scales, hire and mentor the junior credit team — analysts, associates, and in time a portfolio/risk officer.
Qualifications and Skills
Experience
7+ years in private credit, direct lending, specialty finance, or leveraged finance, with personal responsibility for underwriting and closing institutional credit transactions.
Experience at an early-stage or first-time credit fund — credit policy written from scratch, LPA input, first LP diligence — is strongly preferred. You have seen what a fund needs before it has infrastructure.
Lending against media, IP, royalties, recurring digital revenue, or gaming businesses is a strong plus.
A track record you can walk LPs through: deals underwritten, structures used, and how they performed — including the ones that went wrong and what you did about it.
Skills and Competencies
Deep fluency in credit analysis, financial modeling, covenant design, collateral structures, and credit documentation.
The gravitas to sit across from LPs, investment committees, and founders — and the judgment to say no to a deal.
Enjoys mentoring junior team members and building a strong credit culture as the team grows.
Comfort operating in a lean, fast-moving team where you build the machine you then operate.
Education and Credentials
A bachelor's degree in finance, economics, business, or a related field; an MBA and/or a CFA charter is preferred.
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 Head of Underwriting – Credit Fundposition, we will conduct a background check that may include the following:
Criminal history check
Employment verification
Education verification
Credit history check
Relevance to Job Responsibilities
The background check is relevant to this position because of the following role responsibilities:
Handling sensitive financial information and supporting fund analytics, financial models, and deal data
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: Remote USA
Workplace: remote
ABOUT YOU
We are looking for a Head of Fund Analytics & Automation who is a hands-on builder, rigorous with data, and fluent in finance conversations to join our Credit Fund team in the office of the Chief Credit Officer. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to design, build, and operate the fund's entire data and automation stack end to end — and then own it as the fund goes live.
The credit fund is being built with a deliberately small team. Instead of hiring several analysts and operations staff, we want one senior technical hire who can do both: engineer the platform and sit across the table from investors and borrowers. Underwriting here is built on real payment telemetry — including Xsolla transaction data — and that data edge is the foundation of this role.
Strong SQL, Python, and production automation skills are essential, along with real experience in portfolio analytics, market risk, or credit. The ability to ship audit-grade systems and then defend the numbers in front of LPs and borrowers will be key to your success in this role. The role starts as a builder and becomes the owner-operator of the platform, with a growing seat in underwriting decisions and, as the platform and deal volume grow, scope to hire and lead a small team.
If you're passionate about applying AI-governed automation to private credit and love building the systems that let a lean team punch far above its weight, 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
First 6 months — priorities in order
- Deal pipeline live: origination intake through credit committee, with the full audit trail. - Scoring data layer: borrower financials and payment telemetry ingested, stored, and under documented data contracts. - LP / fundraising pipeline instrumented, and first investor reporting shipped.
Explicitly out of scope: legal documentation, fund administration, and accounting — these sit with external providers.
Phase 1: Build (through first close)
Deal pipeline management
- Design and run the full deal workflow: origination intake, screening, scoring, credit committee, closing.
- Implement it as governed automation (workflow orchestration such as n8n or similar, with LLM-assisted steps where they add value): every automated output validated against a defined schema, low-confidence results routed to human review, and a complete audit trail suitable for LP due diligence.
Scoring and underwriting data layer
- Build the ingestion and storage layer for borrower financials and payments telemetry (including Xsolla transaction data) — PostgreSQL or equivalent, ETL pipelines, materialized views, documented data contracts.
- Develop credit scoring and forecasting models in Python, with proper train/test discipline, leakage and PII exclusion, and ongoing monitoring for drift and degradation.
- Maintain evaluation and regression checks so model and automation quality is measured continuously, not assumed.
Fundraising / LP pipeline
- Build and operate the investor pipeline: CRM automation, conference and referral pipeline tracking, follow-up orchestration, and data room preparation and upkeep.
- Instrument the pipeline so we always know conversion rates, stage aging, and next actions per LP.
Investor and borrower dashboards
- Ship reporting for both audiences: fund-level metrics for investors, facility-level metrics for borrowers.
- Numbers must reconcile to source systems and be reproducible outside the BI tool — audit-grade, not demo-grade. Tableau / Power BI or a lightweight web dashboard, whichever fits.
Reliability, cost, and security of the stack
- Budget caps and cost monitoring on all AI-assisted automation; regression canaries before changes ship.
- Access control and data protection appropriate for fund data: deny-by-default permissions, audit logs, strict handling of LP identities, borrower financials, and deal terms.
- Documented runbooks and handover-ready documentation as part of "done" — the stack must be operable by someone other than its author.
Phase 2: Operate (post-close)
- Move into an operating role on the underwriting side: portfolio monitoring, covenant and collateral tracking, scenario and stress analysis.
- Extend the platform to other investment types and support the capital formation team with the same pipeline and reporting infrastructure.
Client and investor facing
This is not a back-office role. The person will join investor and borrower meetings, present the dashboards and the numbers behind them, and field diligence questions directly. Fluency in finance conversations is as important as engineering. The person will also respond to LP operational due diligence questionnaires on the data and automation stack.
Qualifications and Skills
Required
- 7+ years across data analytics / data engineering, including recent hands-on experience building and running production automation (not prototypes or notebooks).
- Proven production experience with LLM-based automation: schema-validated outputs, human review gates, evaluation and regression testing, cost-tiered model routing.
- Strong SQL and Python; ownership of a PostgreSQL (or similar) data platform end to end — ETL, materialized views, performance tuning, data contracts.
- Workflow orchestration experience (n8n, Airflow, or comparable).
- BI and dashboarding: Tableau, Power BI, Qlik, or equivalent web dashboards; a track record of reporting that executives actually used for decisions.
- Security discipline for sensitive data: role-based access, deny-by-default policies, audit trails, PII handling.
- Finance background: degree in finance or quantitative field plus real experience in portfolio analytics, market risk, or credit — able to hold their own in an underwriting or investor conversation.
- Strong written and spoken English; comfortable presenting to senior external audiences.
Preferred
- Direct exposure to private credit, lending, or fund operations.
- Forecasting and statistical modeling track record (capacity planning, SLA/risk forecasting, or similar).
- Experience with embeddings / semantic search and multi-model AI setups.
- Web development ability (React / TypeScript or similar) for internal tools and dashboards.
- Experience in audited or regulated environments (SOC 2, fund audits, or equivalent).
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 Head of Fund Analytics & Automation — Credit Fund position, we will conduct a background check that may include the following:
Criminal history check
Employment verification
Education verification
Credit history check
Relevance to Job Responsibilities
The background check is relevant to this position because of the following role responsibilities:
Handling sensitive financial information and supporting fund analytics, financial models, and deal data
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: Europe; Paris; London
Workplace: Remote
ABOUT ELEVENLABS
ElevenLabs is an AI research and product company transforming how we interact with technology.
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.
We have expanded from voice into three main platforms:
- ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
- ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
- ElevenAPI gives developers access to our leading AI audio foundational models.
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.
HOW WE WORK
- High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
- Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.
- AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.
- Excellence everywhere: Everything we do should match the quality of our AI models.
- Global team: We prioritize your talent, not your location.
WHAT WE OFFER
- Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
- Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
- Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
- Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
- Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún
- Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
About the role
ElevenLabs is expanding globally, and some of our largest enterprise opportunities are won through complex procurement processes. We're building the RFP Engine to own how we compete in them — a new function at the heart of how ElevenLabs pursues its most strategic deals. As a Proposal Manager, you'll be one of its founding members, owning strategic pursuits in your region from qualification through submission: decoding what evaluators actually want, shaping the response strategy with account teams, coordinating input across sales, solutions engineering, legal, and security, and driving every submission to an exceptionally high bar — on time, every time.
You'll run pursuits through an AI-first system and help make it better with every cycle. Automation handles the mechanical work — first drafts, compliance checks, content retrieval — so your judgment goes where it matters: positioning, differentiation, and quality. When you spot work being repeated, you'll help systematise it, turning what you learn on each bid into templates, content, and process the whole company benefits from.
We think the right person has lived complex enterprise bids and knows the difference between a compliant response and a winning one. You write and edit exceptionally well, you're calm and decisive coordinating many contributors against a hard deadline, and you'd rather build the machine than crank the handle.
Requirements
- A track record managing complex enterprise RFP or bid responses end-to-end, from qualification through submission, ideally at a technology company
- A builder's approach to AI and automation: you use AI fluently in your own work, you've shipped internal tooling or workflows (or partnered closely with engineers to do so), and you treat repeated manual effort as a design flaw
- Exceptional writing and editing: you turn technical and commercial input from many contributors into clear, compliant, persuasive responses
- Strong project management under deadline pressure — running contributors, review cycles, and sign-offs across functions and timezones without dropping quality
- Commercial instincts: you can read scoring criteria, spot what will differentiate a response, and flag pursuits that aren't worth the effort
Bonus: additional languages beyond English; experience with security or compliance questionnaires; a technical or pre-sales background.
Growth Potential
We believe in hiring the best talent in the world to look make an impact in the right role at the right time. At ElevenLabs, strong performance creates opportunities for growth. Here are some of the career paths you can expect after excelling in this role:
- Leading regional proposals capacity as pursuit volume grows across markets
- Specialising in bid strategy on our most strategic global pursuits
Location
We're hiring for this role in two regions. This role is remote-first and can be executed from any of our hub cities in EMEA. If you prefer, you can work from our growing number of offices, including in London, Dublin, Madrid or Warsaw.
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Задачи:
— работа над мобильным банком;
— разработка кредитных конвейеров для физических и юридических лиц;
— создание scoring и collection-систем;
— поддержка и развитие других высоконагруженных банковских сервисов.
Требования:
— 5+ лет коммерческой Java-разработки;
— хороший уровень Java Core и понимание Spring;
— опыт работы с микросервисной архитектурой;
— уверенное владение SQL и интеграциями;
— опыт работы с Production-системами;
— опыт в банковской сфере или FinTech будет плюсом.
Условия:
— работа в офисе в Ташкенте;
— обязательная релокация;
— для кандидатов из других стран предоставляется релокационный пакет и компенсация аренды жилья.
Location: EMEA Remote
About
Customer.io
Over 8,000 companies — from scrappy startups to global brands — use our platform to send billions of emails, push notifications, in-app messages, and SMS every day.
Customer.io
powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data.
About the role
Hi, I'm Matt Lane, Manager of Account Management at
Customer.io
, and I'm looking for a Senior Account Manager to join our EMEA team. This is a revenue ownership role — you'll manage a portfolio of mid-market and enterprise accounts, driving renewals, identifying expansion opportunities, and building the kind of relationships that make customers want to grow with us. You'll be part of a tight-knit EMEA team and a key commercial voice for the accounts you own.
This role is open to candidates based in the UK or Ireland only.
What we value
Commercial ownership — you treat your book of business like it's yours, because it is
Forecasting discipline and data-driven decision-making, not gut feel
Multi-threaded relationships — you build trust across the org, not just with one champion
Expansion through value, not feature gates or mechanical levers
Close partnership with Customer Success — you see CS as a collaborator, not a handoff
What you'll do
Own the full commercial strategy for a portfolio of mid-market and enterprise accounts — renewals, expansion, and churn mitigation
Drive growth by helping customers adopt
Customer.io
more strategically, identifying new use cases and articulating ROI clearly
Forecast renewal and expansion pipeline accurately with a clear, repeatable methodology
Build multi-threaded relationships from day-to-day operators to Directors and VPs, becoming a trusted commercial advisor
Partner closely with Customer Success on account health and with Sales on expansion deals
Engage Legal and Finance on complex renewals and collaborate cross-functionally to move deals forward
What we're looking for
3+ years in Sr. Account Management, Sales, or a related SaaS commercial role with direct ownership of a revenue number (5+ years preferred)
Experience managing $5m ARR, predominantly in the MM space
Proven ability to grow customer spend outside of overages or true-ups — genuine expansion through adoption and value articulation
A forecasting methodology you can walk through clearly — it doesn't need to be a named framework, just logic you own
Comfortable pulling usage data, tracking health scores, and building your own dashboards
Strong communicator — clear and persuasive with both technical and non-technical stakeholders
Based in the UK or Ireland
Compensation & Benefits
We believe in transparency. Starting salary for this role is $151,700k - $212,00k OTE USD(or equivalent in local currency) depending on experience and subject to market rate adjustment. In addition to base salary, this role includes an equity grant in the form of stock options, so you share in the success you help build.
We know our people are what make us great, and we're committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including
100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family
. We also offer
16 weeks paid parental leave, unlimited PTO
, stipends for remote work and wellness, a professional development budget, and more.
See full benefits here →
Our Process
No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision.
30-minute video call with a Recruiter
45-minute video call with the Hiring Manager
Take-Home Assignment
1-hour Assignment Review Call with the team
All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process.
Join us!
Check out our
careers page
for more information about why you should
come work with us!
We believe in empathy, transparency, responsibility, and, yes, a little awkwardness. If you're excited by what you read — apply now.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
We're looking for a Capabilities Researcher to join the team building Claude Security. In this role, you'll identify which security capabilities in frontier models are ready to build on, measure how well they perform, and work out how to make them useful to customers who are not security experts.
Frontier models have become substantially more capable at security work over recent generations, and they continue to improve with each release. That progress creates a set of practical questions: which capabilities are reliable enough to depend on, how they perform in realistic conditions, how they behave when an adversary is involved, and where their limits are. You'll be responsible for answering those questions through fast prototyping and rigorous evaluation, and your findings will shape what the team decides to build.
You'll also work on making those capabilities usable. Together with engineers on the team, you'll design the scaffolding, tooling, and defaults that let a strong model capability do useful work for a non-expert, and you'll stay involved as it becomes a product.
This is a research role on a product team, with a broad charge and real latitude in what you investigate. It suits someone who already has ideas about what AI should be able to do for security teams and wants the models, the time, and the engineering support to pursue them.
Responsibilities
Prototype rapidly to find define the AI frontier for cybersecurity work
Design evaluations that measure model performance on the work security teams actually do
Build the datasets, harnesses, and scoring those evaluations depend on
Engage with the cybersecurity community to help define where AI can make the most impact
Work with engineers and researchers to operationalize promising capabilities into something customers can rely on
Track how model capabilities for security are changing, and what that means for what we build next
Share findings that inform product direction, and partner with product leadership on priorities
You may be a good fit if you:
Have deep expertise in one or more security domains, such as vulnerability research, exploit development, reverse engineering, malware analysis, incident response, or offensive security
Have built AI-powered tools or capabilities for security work
Can get from an idea to a working prototype quickly, and abandon the ones that don't hold up
Are comfortable designing rigorous evaluations and interpreting the results honestly
Can write and communicate clearly about technical findings
Have 7+ years of experience in security research, security engineering, or a closely related field
Strong candidates may also have:
Published research, CTF results, CVEs, or open source security tooling
Experience with model evaluation, benchmarking, or red teaming
Experience building agentic applications
Familiarity with the safety considerations of AI in security contexts
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: North America
Workplace: Remote
At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires.
Founded in 2019, Linear has become the platform of choice for more than 50,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship.
The Data team works across Linear, supporting Product, Engineering, and GTM. We own our data pipelines, warehouse, dashboards, analysis, and integrations with third-party tools. As a small team, we focus on building systems that make data accessible and useful across Linear. We’re looking for someone who wants to help shape how we architect, build, and use data as we grow.
Location & work mode
Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in North America. You can work from anywhere within this region. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel.
What you’ll do
- Work across Product and GTM (Marketing, Sales, Customer Success, and Finance) to turn ambiguous questions and operational needs into useful metrics, models, analyses, and workflows
- Build and maintain dbt models and pipelines that create trusted views of our product, customers, and business
- Design clear, maintainable data models and improve the testing, documentation, performance, and reliability of our data stack
- Build dashboards and self-service reporting in Metabase and Hex, and dig deeper when the answer requires more than a chart
- Operationalize data through reverse ETL and partner with GTM Engineering on the scoring, segmentation, automations, and internal tools that help our teams scale
- Balance fast, pragmatic answers with durable solutions, recognizing when a one-off request should become a reusable model or workflow
- Find ways to leverage emerging tools, LLMs, and coding agents to accelerate development, analysis, testing, and documentation while maintaining a high bar for correctness
What we're looking for
- 8+ years of experience in analytics engineering, data analytics, or data engineering, ideally at a fast-moving software company
- Exceptional SQL and strong hands-on experience with dbt and a modern cloud data warehouse
- Track record of owning data projects end-to-end, from shaping an ambiguous problem to shipping something people rely on
- Strong data modeling judgment: you think clearly about grain, reusable components, interfaces, dependencies, and maintainability without relying on a single prescribed methodology
- Analytical judgment: you know when to answer quickly, when to investigate deeply, and how to turn complex findings into a clear recommendation
- Comfortable moving between technical implementation and business context, from debugging a data model to understanding product adoption or sales efficiency
- High ownership mentality: self-directed, pragmatic, and willing to challenge a request or approach when something does not make sense
- Strong communication skills and experience partnering directly with both technical and non-technical teams
- Comfortable using LLMs and coding agents as part of your day-to-day development workflow
Our tech
This stack reflects the systems you’ll work in. You’re not expected to have experience with everything listed, but you should be comfortable learning quickly and working across the full lifecycle of data.
- Data Warehouse: Snowflake, dbt Cloud
- Dashboards / Analysis: Metabase, Hex
- ETL / rETL: Hevo, Fivetran
- GTM tools: Hubspot, Pocus, Clay
What we offer
We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect:
- Competitive salary and equity
- Employee-friendly equity terms including early exercise in the US and extended exercise windows
- Daily meal and coffee stipend on every workday
- Paid co-working space or desk
- Health coverage (based on country requirements)
- 5 weeks paid vacation, plus local statutory holidays
- 4 months paid parental leave
- Paid month off after 4 years & every 2 years thereafter
- Regular team events and off-sites
- Remote-first with no required commute
Compensation
For US-based candidates, the expected cash compensation range for this role is $180,000—$220,000. For sales roles, this range represents on-target earnings (OTE), including base salary and variable compensation; for all other roles, it represents base salary. Final compensation is determined based on job-related knowledge, skills, and experience. For sales roles, actual earnings vary based on sales performance. Equity is a meaningful part of all offers at Linear.
Learn how we think and work
- A story about our mission: Read Me https://linear.app/readme
- Our hiring process: How we hire at Linear https://linear.app/now/how-we-hire-at-linear
- How we work: Designing remote work at Linear https://linear.app/now/designing-remote-work-at-linear
- How Linear uses Linear: How our Customer Experience team works in Linear https://linear.app/now/cx-in-linear
- A video series: Conversations on Quality https://linear.app/quality
- Building our teams: Why and how we do work trials at Linear https://linear.app/blog/why-and-how-we-do-work-trials-at-linear
- Our recent tender offer: Sharing Linear’s growth with the people building it https://linear.app/now/sharing-growth-with-the-people-building-linear
A note on recruitment fraud: all official Linear hiring communication comes from an @linear.app http://linear.app email address, and all open roles are listed at linear.app/careers http://linear.app/careers. We never ask candidates for payment or financial information. Suspicious messages can be reported to security@linear.app.
Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.
Pakistan (Remote)
Indonesia (Remote)
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