StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels.
The Sales Manager, SEA is responsible for driving new business and account expansion across South East Asia through high-velocity, high-volume sales execution. Reporting to the Director of Sales, you will own a broad territory and help grow StackAdapt’s presence across key SEA markets through disciplined pipeline management, sharp prioritisation, and a repeatable sales process.
Success in this role requires a resilient, hands-on mindset, strong commercial instincts, and the ability to move quickly across multiple opportunities without sacrificing quality or urgency. A successful Sales Manager will be highly organised, commercially sharp, and able to quickly qualify, progress, and close opportunities while maintaining strong CRM hygiene and forecasting discipline.
You will understand clients’ business objectives and identify the right value propositions quickly, creating urgency and moving efficiently from discovery to close. You will work closely with internal teams as needed to support deal progression and share market insights that help inform broader team strategy.
StackAdapt is a remote-first company, and our Sales teams are regionalised. For this role, we are prioritising candidates located in Singapore.
What you'll be doing:
- Building and managing a high-volume pipeline across a broad account list
- Identifying, pitching, progressing, and closing platform sales deals with local agencies and brands
- Creating opportunities through consistent outbound activity and disciplined follow-up
- Quickly qualifying accounts and prioritising the opportunities most likely to convert
- Maintaining strong CRM hygiene, accurate forecasting, and clear pipeline visibility
- Partnering with internal teams as needed to support deal progression and execution
- Sharing market insights and customer patterns with the wider sales team
What you'll bring to the table:
- 3–5+ years of experience in high-velocity B2B sales, growth sales, inside sales, commercial sales, or account executive roles, ideally within adtech, SaaS, martech, digital media, or advertising technology
- A strong track record of success in quota-carrying, fast-paced sales environments
- Experience managing a high-volume pipeline with strong structure and prioritisation
- Proven ability to create opportunities at scale through consistent outbound activity
- Ability to quickly qualify, pitch, progress, and close new business
- Strong CRM discipline and the ability to maintain pipeline quality despite high activity
- Confidence building client pitch decks and the associated research to support new business conversations
- Ability to grasp and communicate technical concepts and DSP platform-based knowledge
- Willingness to travel occasionally to meet with clients within the region
- Fluency in English is required; additional SEA language skills are a plus
The compensation range listed for this role reflects the expected base salary for candidates located in the posting country based on a global rate. It is informed by market data and the approved budget for this position. StackAdapt maintains different compensation ranges for roles across other countries and regions, and final offers will be aligned to the candidate’s current location. We do not ask candidates about current or prior salary history, and we will not use such information, if volunteered, in setting an offer.
This range represents base salary only. Depending on the role, candidates may also be eligible for additional compensation such as annual bonuses, commissions, equity awards, and a comprehensive benefits package.
Factors Influencing Final Compensation:
- The final compensation offer will be determined by a variety of factors, which may include, but are not limited to: the candidate's specific experience, technical skills, knowledge, abilities, and relevant education, licensure, and certifications.
- Other business factors, such as organizational needs and budget alignment, may also be considered in the final offer.
Base Salary Band
$82,314—$113,182 SGD
StackAdapter's Enjoy:
- Highly competitive salary
- Retirement/ 401K/ Pension Savings globally
- Competitive Paid time off packages including birthday's off!
- Access to a comprehensive mental health care program
- Health benefits from day one of employment
- Work from home reimbursements
- Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto
- Robust training and onboarding program
- Coverage and support of personal development initiatives (conferences, courses, books etc)
- Access to StackAdapt programmatic courses and certifications to support continuous learning
- An awesome parental leave program
- A friendly, welcoming, and supportive culture
- Our social and team events!
Please note: Benefits and perks may vary depending on your country of employment and the nature of your engagement. In locations where StackAdapt does not have a legal entity, employment and benefits are administered in accordance with local regulations and partner policies.
StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability, superpower status, ethnicity, or the gender you identify with (if you’re comfortable, let us know your pronouns), you are welcome at StackAdapt. If you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know.
We use artificial intelligence (AI) to streamline the resume reviews of candidates and assess their fit based on the criteria outlined in the job posting. We do not use AI to make any final hiring or interview decisions.
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