R

Redis

Open-source in-memory data store, cache, broker

Lead Growth Marketing

SEO MarketingConfirmed live in the last 24 hours
Full-timeRemote in USARemote

About the Job

Requirements

  • Typically 7+ years in digital growth or go-to-market marketing, including meaningful experience inside high-growth business-to-business software-as-a-service, infrastructure, or AI-adjacent companies.
  • A record of building or materially improving digital growth systems where the strategy and operating model were not already fully defined.
  • Deep experience owning website strategy, digital conversion, and organic growth—not simply supporting those functions.
  • Experience developing integrated search engine optimization, answer engine optimization, or generative engine optimization strategies across traditional search, generative search, AI assistants, answer engines, or coding agents.
  • An understanding of how content, documentation, citations, authority, structured information, and technical foundations influence AI recommendations and technology selection.
  • Experience defining measurement for emerging digital journeys, including the ability to connect leading signals to account creation, activation, pipeline, or revenue.
  • Direct ownership of a conversion-rate optimization and experimentation program, with strong analytical and statistical judgment.
  • Experience defining email and go-to-market orchestration strategy while directing specialists who handle implementation and ongoing operations.
  • Demonstrated use of AI tools and agents to research, plan, build, analyze, or optimize marketing programs.
  • AI-native operating fluency: the ability to rapidly turn a business objective into a credible campaign, journey, or workflow prototype and then improve it with judgment and data.
  • Experience directing contractors and agency-staffed specialists, including scoping work, setting priorities, reviewing output, and reallocating capacity.
  • Strong executive communication and willingness to move between strategy and hands-on work.

Responsibilities

  • Own the digital surface by setting the strategy for how agents and humans discover, understand, evaluate, and convert across the website, documentation pathways, organic presence, and AI surfaces.
  • Lead agent-driven growth by building a low-friction journey in which an agent can identify the right solution, review relevant documentation, and create an account in a single session.
  • Own search engine optimization, answer engine optimization, and generative engine optimization strategy for search engines, AI answer engines, generative search, assistants, and coding agents, ensuring the company is accurately represented, cited, recommended, and selected.
  • Own website strategy, including the platform story, information architecture, page priorities, content pathways, and contextual-conversion model; partner with web engineering on implementation and feasibility.
  • Lead conversion-rate optimization and experimentation by maintaining a rigorous testing roadmap across high-intent pages, documentation journeys, sign-up flows, and other critical conversion points.
  • Build the measurement system connecting human and agent discovery to outcomes, including visibility, citations, recommendations, documentation engagement, account creation, conversion, activation, and pipeline.
  • Use performance data to improve strategy, prioritize the roadmap, reallocate resources, and decide what to scale, revise, or stop.
  • Direct external specialists by setting priorities and scopes of work for contractors and an agency partner, reviewing output, and redirecting capacity as business needs change.
  • Align the digital growth engine by partnering with content, developer relations, product, engineering, paid media, and executive leadership so the company presents one connected path from discovery to adoption.

About the Company

Redis

Open-source in-memory data store, cache, broker

Redis is an in-memory data store used as a database, cache, and message broker. It supports data structures such as strings, hashes, lists, sets, sorted sets, and streams, enabling fast data access for real-time applications. Data is kept primarily in memory for sub-millisecond latency and high throughput, with options for on-disk persistence. Features include replication, Lua scripting, eviction policies, transactions, and multiple persistence modes, along with high availability via Redis Sentinel and scalable partitioning with Redis Cluster. This combination lets Redis power use cases like caching, session management, real-time analytics, and message queuing. Compared with other data stores, Redis stands out for its in-memory performance, rich built-in data structures, scripting support, and mature HA and sharding capabilities. The goal is to provide a fast, flexible, and reliable data store that can function as a database, cache, or message broker for real-time workloads.

Company size
1,001-5,000
Company stage
Private
Total funding
$356.6M
Headquarters
Mountain View, CA
Founded
2011

Recently Posted Jobs

Explore more opportunities at Redis

See more jobs