Engineering Manager, Platform Services

Resonate is a leading provider of high-quality, AI-powered consumer data, intelligence, and technology, empowering marketers to create a more personalized world that increases customer acquisition and lifetime value. Our SaaS platform, Ignite, and our Data-as-a-Service (DaaS) offerings provide unparalleled insights into consumer motivations, values, and behaviors, enabling our clients to connect with their target audiences in more meaningful and effective ways. We are a dynamic and fast-growing company seeking passionate and innovative individuals to join our team!

We are entering a new era powered by generative and agentic AI systems, and we're seeking an Engineering Manager, Platform Services to lead that transformation. This role owns the engineering team responsible for our marketing intelligence platform and activation services, the connective tissue that powers the way brands plan, execute, and measure campaigns across the digital ecosystem.

You'll lead a team of software engineers building the platform that connects our AI-powered consumer intelligence to the broader martech/adtech ecosystem. This isn't about maintaining the status quo, but rather transforming our SaaS platform into an AI-native environment where agentic systems become core to how marketers work. You'll assess our current stack, form strong technical opinions, and drive bold moves to modernize architecture while delivering measurable business value.

Key Responsibilities

Technical Leadership (40%)

Lead the transformation of our platform into an AI-native environment with agentic systems (AI that plans and executes multi-step marketing workflows)

Assess current architecture, identify technical debt, and drive modernization with measurable outcomes (target: 30%+ improvement in platform performance or cost efficiency)

Own platform reliability, scalability, and integrations across the martech/adtech ecosystem (DSPs, CDPs, etc.)

Maintain hands-on involvement in critical architecture decisions; able to provide technical direction when leads are unavailable

Set engineering standards that balance quality with velocity—clean code, smart automation, lightweight process

Champion AI tooling (GitHub Copilot, Claude, agent frameworks) throughout the development lifecycle

People Leadership (40%)

Lead, mentor, and retain a high-performing team of software engineers across platform and integration services

Conduct regular 1:1s, career planning, and performance reviews with clear, constructive feedback

Create growth paths and development opportunities; track record of promoting engineers and maintaining low attrition

Foster a culture of ownership, collaboration, and technical excellence

Manage hiring, onboarding, and team composition to build the capabilities we need

Remove roadblocks and protect the team from unnecessary distractions

Drive adoption of modern practices and AI tooling—address skepticism with empathy and evidence

Delivery Strategy (20%)

Partner with Product to shape roadmap, estimate accurately, and deliver with predictability

Lead incident response from detection to resolution, including communications and blameless post-mortems

Align engineering strategy with business goals and product priorities

Monitor team health, velocity, and delivery risks—address proactively

Qualifications Experience Requirements

Technical Experience

7+ years building production software with hands-on experience as a senior engineer before moving to management

5+ years leading engineering teams of 10+ people with proven track record of developing talent

Deep experience building or scaling multi-tenant SaaS platforms in AWS

Strong backend expertise (Java/Spring Boot, or similar modern frameworks) with production experience at scale (millions of daily transactions, sub-second latency requirements)

Experience with modern frontend technologies and API design

Track record of measurable platform improvements (e.g., "reduced infrastructure costs by 40%," "improved response times by 75%," "achieved 99.99% uptime")

Familiarity with observability, monitoring, and incident management at scale

Leadership Mindset

Genuinely excited about AI/ML capabilities—LLMs, RAG systems, agent frameworks (LangChain or similar)—eager to separate real value from hype

Strong architectural opinions, but not dogmatic—you adapt based on context and data

Clear communicator who translates between technical complexity and business value

Comfortable with ambiguity; confident making decisions and iterating quickly

Process-minded but anti-bureaucracy—you create clarity without creating friction

Low-ego leader who combines strategic thinking with hands-on leadership and a bias toward action

Proven ability to give direct, constructive feedback that helps engineers grow

Preferred Qualifications

Experience in adtech, martech, or data-intensive B2B SaaS environments

Background integrating with DSPs, CDPs, or similar marketing ecosystem platforms

Experience with…