Media Solution Architect

We are looking for a Forward Deployment Engineer with a strong performance marketing background to lead the deployment and success of our solution for a small number of enterprise customers.

You will own the full post-sale lifecycle, from implementation through ongoing optimization, working directly with growth, data, and engineering teams at some of the world's leading consumer apps. Your focus is on signal quality, experiment design, and driving measurable impact on paid acquisition performance.

This is a high-ownership role for someone who thinks in terms of ROAS, CPA, and bidding strategy, and can also get deep into data and systems to make it happen. You will be the primary point of contact for your accounts, lead engagements end-to-end, and translate performance data into clear decisions.

Success means turning your customers' best predictive signals into compounding growth on Google and Meta.

About Us

Voyantis was founded in 2020 on the premise that market fundamentals are shifting companies worldwide from growth-at-all-costs strategies to efficient and responsible growth practices, with a focus on improving Unit Economics. With a bold mission to leverage AI to reimagine the whole Growth process, to streamline this transition and ensure its sustainability, Voyantis eliminates the guesswork from customer value creation, empowering leaders with actionable strategies and tactics to acquire, nurture and retain the high-value customers their businesses really need, with the actions and the timing that would be most impactful to achieve their goals.

Leading companies like Miro, Rappi and Moneylion rely on Voyantis to effectively apply these predictions. They use Voyantis to drive high-value customer acquisition on platforms like Google and Meta, optimize incentives through Salesforce and Braze, and perfectly time upsells, resulting in a 20%-40% ROI uplift.

Voyantis is well-backed by top VCs such as Target Global and SquarePeg. The company has tripled in size annually over the past two years and now boasts a team of 100 with offices in California, New York and Tel Aviv.

Performance and experimentation

• Design and structure pilots across Google Ads and Meta, including campaign selection, budget approach, bidding strategy, and success criteria
• Evaluate experiment results and iterate based on performance signals
• Help customers understand performance drivers, attribution, and how to scale what works
• Monitor model and signal performance; identify issues early and intervene

Implementation and signal quality

• Lead end-to-end implementation across a small portfolio of enterprise customers
• Adapt solution design and data strategy to each customer's ad tech stack and measurement setup
• Ensure strong match rates, data accuracy, and signal reliability across conversion APIs and MMPs
• Troubleshoot integration and data issues in collaboration with internal teams

Customer partnership and execution

• Own day-to-day execution across multiple engagements
• Lead ongoing customer communication with both technical and senior growth stakeholders
• Coordinate across product, engineering, and go-to-market teams
• Build long-term trust through reliability and strong outcomes

• 6+ years of experience in a technical, customer-facing role (e.g., Solutions Engineering, Technical Account Management, Growth Engineering)
• 3+ years in a similar role working directly with enterprise customers
• Hands-on experience with Google Ads and Meta Ads, including campaign management, value-based bidding, and test analysis
• Deep familiarity with performance marketing metrics: CPA, ROAS, LTV, incrementally
• Background in performance marketing, user acquisition, or growth at a consumer app, brand, or agency
• Experience with conversion tracking and attribution infrastructure (e.g., Meta Conversions API, GA4, AppsFlyer or similar MMPs)
• Strong SQL skills and ability to independently analyze data (e.g., Snowflake, BigQuery)
• Ability to translate performance data into clear, actionable recommendations for growth teams
• Experience working in SaaS, adtech, martech, or performance marketing
• Strong communication skills and comfort engaging with senior growth and marketing leaders

Preferred qualifications:

• Experience with server-side integrations and signal enrichment
• Familiarity with pLTV modeling or predictive bidding concepts
• Experience in a startup or high-growth environment