SaaS Sales Manager - Web3 SaaS & White-Label (IC Role) - Middle East
ChainGPTJob Description
About ChainGPT
- ChainGPT is a dynamic blockchain and AI company that prioritizes innovation, transparency, and meaningful impact.
- Our culture empowers exceptional, self-driven individuals to act decisively, leverage advanced AI tools, and consistently deliver value-driven outcomes.
- We foster an open, collaborative environment where creative thinking thrives, enabling every team member to take ownership and contribute meaningfully to our ambitious future.
About the Role – SaaS Sales Manager (White-Label)
- This is a quota-carrying, hands-on sales role focused on selling ChainGPT’s white-label / configurable SaaS products to B2B customers.
- You’ll own the day-to-day sales motion: outbounding, discovery, demos, proposal/negotiation, closing, and clean handoff.
- We’re looking for someone who thrives in execution — building pipeline, moving deals forward, and closing.
Note: Applicants from all countries are welcome. Preference for candidates who can align working hours to UTC (+/- 2 hours).
Key Responsibilities
- Pipeline Generation & Outbound Execution
- Own outbound prospecting (email/DM/calls) to generate qualified opportunities.
- Build target account lists and identify decision-makers across Web3 teams and adjacent B2B verticals.
- Book discovery calls and consistently maintain top-of-funnel activity targets.
- Full-Cycle Sales (Discovery → Close)
- Run discovery to uncover customer goals, technical requirements, timelines, and buying process.
- Lead product demos and solution walkthroughs for white-label offerings (e.g., portals, launch tools, staking/vesting products).
- Create proposals, handle objections, negotiate terms, and close deals.
- Deal Management & CRM Discipline
- Maintain clean CRM hygiene (Kommo experience is a plus) - (stages, notes, next steps, close dates).
- Track pipeline movement and keep deal follow-ups tight and consistent.
- Surface deal risks early (pricing, blockers, technical scope, stakeholders).
- Cross-Functional Coordination
- Work with Product/Engineering to confirm feasibility, scope, and delivery expectations for white-label deals.
- Coordinate a smooth post-close handoff to onboarding/customer success.
- Feed back customer insights to improve positioning, packaging, and sales assets.
What Success Looks Like (First 60–90 Days)
- Build a repeatable outbound cadence and consistently generate qualified meetings
- Own active deals with strong next-step control and timely follow-up.
- Close initial wins and establish a predictable pipeline rhythm.
- Provide actionable feedback on messaging, ICP, and objection handling.
What We Offer
- Work alongside the ChainGPT core team on high-impact AI and Web3 products across our ecosystem.
- Remote-first setup with flexible hours, focused on outcomes, trust, and ownership.
- Competitive compensation, with performance-based upside where applicable to the role.
- Fast-moving environment with direct collaboration across all team members, including senior management, and clear accountability with no micromanagement.
- The support to do your best work, including the tools you need, structured onboarding, and clear room to grow.
Company Culture and Values
- A...
Get notified of similar jobs
We'll send you an email when jobs similar to "SaaS Sales Manager - Web3 SaaS & White-Label (IC Role) - Middle East" are posted.
Related Jobs You Might Like
View all jobs →Physics Expert with Python - Freelance AI Trainer
Mindrift
What this opportunity involves Design original computational physics problems that simulate real physics research workflows; Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy); Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics; Base problems on real research challenges or practical applications from physics practice; Verify solutions using Python with standard physics simulation libraries; Document problem statements clearly and provide verified correct answers. What we look for Degree in Physics (Theoretical, Experimental, or Computational) or related fields; Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; 2+ years of professional experience: applied, research, or teaching experience is applicable; Experience with numerical simulation methods; Ability to design problems that mirror real physics research workflows; Creative thinking in problem design across diverse physics areas; Familiarity with physics modeling and approximation techniques; Strong written English (C1+). How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.
Optical Engineer with Python - Freelance AI Trainer
Mindrift
What this opportunity involves Design original computational physics problems that simulate real physics research workflows. Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy). Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks). Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics. Base problems on real research challenges or practical applications from physics practice. Verify solutions using Python with standard physics simulation libraries. Document problem statements clearly and provide verified correct answers. What we look for Degree in Physics (Theoretical, Experimental, or Computational) or related fields. Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent. 2+ years of professional experience: applied, research, or teaching experience is applicable. Experience with numerical simulation methods. Ability to design problems that mirror real physics research workflows. Creative thinking in problem design across diverse physics areas. Familiarity with physics modeling and approximation techniques. Strong written English (C1+). How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements....
Research Physicist - Freelance AI Trainer
Mindrift
What this opportunity involves Design original optics problems that simulate real physics research workflows; Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics; Base problems on real research challenges or practical applications from optics & physics practice; Document problem statements clearly and provide verified correct answers. What we look for Degree in Physics (Theoretical, Experimental, or Computational) or related fields; 2+ years of professional experience: applied, research, or teaching experience is applicable; Experience with numerical simulation methods; Ability to design problems that mirror real physics research workflows; Creative thinking in problem design across diverse physics areas; Familiarity with physics modeling and approximation techniques; Strong written English (C1+). How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.