Software Engineer III - Growth Marketing Engineer

Spectraforce Technologies, Inc.

Menlo Park (CA)

Hybrid

USD 140,000 - 170,000

Full time

10 days ago

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Job summary

Spectraforce Technologies, Inc. is seeking a Software Engineer III - Growth Marketing Engineer for remote work with hybrid/on-site in Menlo Park, CA.

This 12-month role focuses on building and maintaining the infrastructure for growth campaigns, deep linking, and audience engineering to enable real-time optimization. Responsibilities include developing attribution links, creating audience data pipelines, integrating pixels, and supporting onboarding and lifecycle marketing with personalized

Qualifications

Deep linking and attribution at consumer scale (App Links / Universal Links, iOS/Android/web)
Strong SQL and data pipelines for audience tables and CDP syncing
Growth platform engineering collaborating with marketing teams

Responsibilities

Own and evolve the deeplink layer for influencer, paid, off-platform and referral campaigns; move from one-off links to a standardized link registry with attribution instrumentation
Build and maintain custom audiences from cross-app behavioral data and push them into the ads platform; shift manual builds to scheduled, monitored refreshes
Support onboarding and lifecycle growth across email, notifications and in-product placements; integrate personalization APIs and ML propensity signals
Productize and dashboard: self-serve paths so marketers can operate without engineering in the loop, plus delivery-funnel, link-health and incrementality reporting

Skills

Deep Linking and Mobile Attribution

SQL and Data Pipelines

Advertising Platform Integration

Backend or Full-Stack Engineering

A/B Testing and Experimentation

Job description

Job Title: Software Engineer III - Growth Marketing Engineer

Location: Remote (Hybrid/onsite in Menlo Park, CA is preferred.)

Duration: 12 months, with potential for extension

About the Role:

Job Description:

Growth Marketing Engineer to provide dedicated engineering support for Client Subscriptions consumer marketing initiatives. The position entails developing and maintaining the technical infrastructure supporting acquisition and retention campaigns as marketing investments expand from exploratory testing to multi-million-dollar programs. This role is project-based and campaign-driven, requiring close collaboration with marketing leads and existing engineering stakeholders rather than direct ownership of a specific product surface.

Primary Responsibilities

Develop and maintain deep links for paid campaigns, influencer attribution, referrals, and off-platform channels, incorporating optimized targeted routing solutions.
Construct custom audience data tables derived from cross-app user behavioral metrics and integrate them with advertising platform infrastructure.
Implement and maintain conversion tracking mechanisms (advertising pixels) within user onboarding flows to enable real-time campaign optimization based on funnel behavior.
Support targeted marketing email initiatives by mapping user behavioral signals into defined audience parameters.
Execute end-to-end growth and promotional experimentation.

Key Required Competencies:

Deep Linking and Mobile Attribution: Expertise in developing and managing campaign links across web and mobile applications.
SQL and Data Pipelines: Proficiency in constructing audience segmentation tables from complex behavioral datasets.
Advertising Platform Integration: Proficiency with conversion pixels, custom audience integrations, and campaign tracking architectures.
Backend or Full-Stack Engineering: Demonstrated skill in Python alongside Hack/PHP, Java, or JavaScript.
A/B Testing and Experimentation Frameworks: Experience in designing, executing, and evaluating growth experiments.

Minimum Years of Experience: 5+

Must-Have Skills:

Deeplinking, campaign tracking and attribution at consumer scale (App Links / Universal Links, iOS/Android/web, URL parameter taxonomies, click-to-conversion attribution)
Marketing data and audience engineering - strong SQL, behavioral signal tables, scheduled pipelines, syncing custom audiences into an ads platform or CDP
Growth marketing platform engineering with a proven track record partnering directly with marketing teams

Nice-to-Have Skills:

Lifecycle messaging and personalization - marketing automation platform integration (SFMC, Braze, Iterable or equivalent), journey/trigger config, API-driven personalization
Email marketing with ML propensity and personalization layers
Big-tech / large consumer-platform background; dashboarding and self-serve tooling for non-engineers

Degrees/Certifications:

N/A

Key Projects/Day-to-Day Responsibilities

Own and evolve the deeplink layer for influencer, paid, off-platform and referral campaigns; move from one-off links to a standardized link registry with attribution instrumentation
Build and maintain custom audiences from cross-app behavioral data and push them into the ads platform; move manual builds to scheduled, monitored refreshes
Support onboarding and lifecycle growth across email, notifications and in-product placements; integrate personalization APIs and ML propensity signals
Productize and dashboard: self-serve paths so marketers can operate without engineering in the loop, plus delivery-funnel, link-health and incrementality reporting

About the Team:

Growth marketing for subscriptions, spanning engineering, marketing and product. Fast-moving and campaign-driven, with periodic high-intensity launch windows.

Are there any types of candidate profiles or skills that may not be the right fit for this team?

Candidates looking for a deeply technical or pure software engineering role; front-end-focused engineers; anyone who wants distance from marketing stakeholders. This is platform engineering in service of marketing, not core product engineering.

Are there any immediate disqualifiers or red flags that stand out?