Sales Engineer

Job not on LinkedIn

🕒 4 days ago

🌐 Indonesia, Malaysia – Remote

🇮🇩 Indonesia – Remote 🇲🇾 Malaysia – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

💸 Sales Engineer

👻 Ghost score 15%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Branch

WebsiteLinkedInAll Job Openings

201 - 500 employees

📣 Marketing

☁️ SaaS

🤝 B2B

💰 $300M Series F - Branch on 2022-02

Marketing • SaaS • B2B

Branch is a growth and measurement platform that provides mobile attribution, deep linking, link management, QR codes, in-app banners, and AI-powered marketing tooling to connect click-to-conversion journeys. The company emphasizes accurate cross-channel measurement and fraud prevention for apps and web, serving advertisers and growth teams with integrations across major ad, analytics, and engagement platforms. Branch is positioned as a B2B SaaS partner for brands (trusted by 100,000 brands and a 3. 5 billion-user network) focused on improving acquisition, engagement, and revenue through reliable linking and attribution.

📋 Description

• Partner with Enterprise Account Executives on strategic APAC accounts to understand business goals, technical environments, and stakeholder success criteria • Lead technical discovery, solution architecture, and executive-level presentations across enterprise sales cycles • Design and lead structured proofs of concept and pilots with defined success criteria, milestones, and executive sign-off • Own technical strategy for competitive enterprise deals, including displacement of incumbent MMP/attribution vendors • Serve as subject matter expert on Branch’s platform, APIs, SDKs, and integration options • Advise on enterprise architecture requirements including SSO/SAML, data residency, custom SLAs, data warehouses, CDPs, and analytics stacks • Stay current on mobile measurement standards, ad fraud trends, and privacy regulations across APAC markets • Build relationships with CTOs, VPs of Growth/Marketing, Heads of Data, and other senior stakeholders • Act as strategic advisor through renewal and expansion cycles • Respond to RFPs, security questionnaires, and vendor risk assessments • Represent enterprise customer requirements, competitive intelligence, and APAC market trends in the product roadmap • Build enterprise sales engineering playbooks, reference architectures, and demo environments • Mentor mid-market Sales Engineers on enterprise best practices and complex deal strategy • Collaborate with Sales and Customer Success teams to support enterprise growth across APAC • Travel to customer locations across APAC for meetings, demonstrations, solution design sessions, and other engagements

🎯 Requirements

• 7+ years of experience in Sales Engineering, Solutions Engineering, or Solutions Consulting • Track record supporting enterprise-scale six- and seven-figure ACV deals • Experience navigating complex, multi-stakeholder, multi-quarter enterprise sales cycles spanning engineering, security, procurement, and legal • Strong understanding of APIs, SDKs, system integrations, and enterprise SaaS/cloud architectures • Knowledge of SSO/SAML, data residency, and large-scale data pipelines • Working knowledge of iOS and Android application development concepts and mobile app architectures • Executive presence and ability to present technical and business value narratives to C-level and VP-level stakeholders • Deep familiarity with mobile measurement, attribution, deep linking, or broader marketing technology platforms • Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience • Willingness to travel to customer locations across the APAC region • Nice to have: familiarity with competing MMP/attribution platforms • Nice to have: experience with discovery and qualification frameworks such as MEDDIC • Nice to have: AI/LLM literacy, including data and privacy implications • Nice to have: familiarity with retail media and first-party data strategy

🏖️ Benefits

• Competitive compensation • Potential equity for qualifying positions • Comprehensive benefits package • Health and wellness programs • Paid time off • Retirement planning options • Professional growth and career development • Learning and mentorship opportunities • Collaborative, inclusive culture

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