Senior Enterprise Sales Engineer

Placements AI; Sydney; On-site; AUD 187,000 - 192,000; Full time

Benefits offered by this job

Competitive salary

Superannuation

Health benefits

Stock options

Flexible work environment

Company laptop

Mobile phone reimbursement

Gym membership reimbursement

Professional development opportunities

Team lunches & events

Job summary

Placements AI is seeking a Senior Enterprise Sales Engineer to join our APAC team in Sydney, Australia. You will partner with sales, product, and engineering teams to guide enterprise customers through technical discovery, solution design, and PoC stages.

The role requires strong communication, deep SaaS knowledge, and ability to articulate complex workflows to both technical and non-technical stakeholders. A fast-growing, high-impact environment awaits.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems or related field.
• 5+ years in Sales Engineering, Solutions Consulting, or related roles.
• Experience supporting enterprise SaaS sales cycles and complex technical evaluations.
• Strong communication of technical concepts to diverse audiences.

Responsibilities

• Partner with Enterprise Account Executives to drive technical validation and solution alignment.
• Lead technical discovery sessions on customer workflows, integrations, and objectives.
• Deliver product demonstrations tailored to use cases and industry challenges.
• Design scalable technical solutions leveraging Placements AI platform.
• Lead PoC engagements and pilot programs for prospective customers.
• Address technical questions on integrations, APIs, security, and architecture.
• Collaborate with Product, Engineering, and Customer Success for successful outcomes.
• Support RFPs, RFIs, and technical due diligence processes.

Skills

Sales engineering

Technical presentations

Discovery & scoping

Customer engagement

Education

Bachelor’s degree in CS/Engineering/IS

Tools

APIs

CRM

ERP

Job description

Placements AI is building the operating system for advertising. We are a product-first company changing how digital media publishers manage their advertising businesses. Our SaaS platform makes advertising sales, operations, billing, and revenue reporting painless for digital media publishers and e-commerce companies. We understand the importance of creating a connected ecosystem for our customers, who depend on Placements AI to help them scale.

Headquartered in New York City, we have expanded globally with offices in Seattle, London, Taipei, and Denver, along with team members across the APAC region.

The Role:

Placements AI is seeking a highly motivated and technically skilled Senior Enterprise Sales Engineer to join our growing APAC team based in Sydney, Australia.

As a trusted technical advisor throughout the sales cycle, you will partner closely with Enterprise Account Executives, Product, Engineering, Customer Success, and Solutions teams to help prospective customers understand how Placements AI can solve complex advertising workflow challenges.

You will lead technical discovery, product demonstrations, solution design, proof-of-concept engagements, and implementation planning for enterprise media organisations, retail media networks, and advertising businesses. This role requires a unique combination of technical expertise, business acumen, and exceptional communication skills.

Our platform includes AdSalesOS, which enables publishers and retail media networks to manage advertising sales, operations, billing, and revenue reporting, and MarketerOS, which empowers brands and agencies to plan, execute, optimize, and measure advertising investments across multiple channels. Together, our products create a connected ecosystem that helps customers automate complex workflows, improve operational efficiency, and scale their advertising businesses.

The ideal candidate is passionate about technology, enjoys solving customer problems, and thrives in a fast-paced, high-growth SaaS environment.

Responsibilities:

• Partner with Enterprise Account Executives throughout the sales process to drive technical validation and solution alignment
• Lead technical discovery sessions to understand customer workflows, requirements, integrations, and business objectives
• Deliver compelling product demonstrations tailored to customer use cases and industry challenges
• Design and present scalable technical solutions leveraging the Placements AI platform
• Lead proof-of-concept engagements and pilot programs for prospective customers
• Respond to technical questions related to integrations, APIs, security, architecture, and implementation approaches
• Collaborate closely with Product, Engineering, Customer Success, and Implementation teams to ensure successful customer outcomes
• Support RFPs, RFIs, security reviews, and technical due diligence processes
• Provide implementation planning and onboarding guidance during the transition from pre-sales to post-sales teams
• Act as a subject matter expert on digital advertising workflows, ad operations, retail media, and publisher technology ecosystems
• Deliver technical workshops, customer training sessions, and executive presentations when required
• Provide feedback from prospective customers and existing customers to Product and Engineering teams to help inform future roadmap priorities

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, Information Systems, a related field, or equivalent practical experience
• 5+ years of experience in Sales Engineering, Solutions Consulting, Solutions Architecture, Professional Services, or Technical Consulting roles
• Experience supporting enterprise SaaS sales cycles and complex technical evaluations
• Strong understanding of APIs, integrations, data workflows, and cloud-based software platforms
• Experience working with digital advertising technology, ad operations, media platforms, retail media, ad serving, CRM, ERP, or revenue management systems is highly preferred
• Proven ability to communicate technical concepts to both technical and non-technical audiences
• Experience leading customer-facing presentations, workshops, and executive-level discussions
• Strong analytical and problem-solving skills
• Excellent written and verbal communication skills
• Ability to manage multiple priorities in a fast-paced, high-growth environment
• Experience working with cross-functional teams to support large enterprise transactions

Benefits Include:

• Competitive salary and variable compensation
• Superannuation
• Comprehensive health benefits
• Early-stage stock options
• Flexible work environment
• Company laptop
• Mobile phone reimbursement
• Gym membership reimbursement
• Professional development opportunities
• Regular company lunches, social events, and team activities

Why Join Placements AI?

At Placements AI, you’ll have the opportunity to work alongside a talented, collaborative team that’s redefining advertising technology. You’ll play a critical role in helping some of the world’s leading media companies modernise their advertising operations while contributing to a platform that is transforming the future of ad tech.

Equal Opportunity Employer:

Placements AI is committed to providing equal employment opportunities and making employment decisions based on skills, experience, qualifications, and business needs. We welcome applications from people of all backgrounds and do not discriminate based on any protected characteristic under applicable law.

Reasonable Adjustments:

Placements AI is committed to providing an inclusive and accessible recruitment experience. If you require a reasonable adjustment at any stage of the application or interview process, please contact All requests will be treated respectfully and confidentially.

Compensation:

Our salary ranges are based on paying competitively for our size and industry and represent one part of the compensation, benefits, and other opportunities we provide.

The expected base salary range for this role in Sydney is AUD $187,000–$192,000, exclusive of superannuation, plus variable compensation.

The salary offered will be based on factors including relevant experience, skills, qualifications, and business needs.