Openart B2B Lifecycle Marketing Manager responsible for designing and executing lifecycle journeys to nurture and convert business audiences. Manages multi-channel campaigns and coordinates with cross-functional teams.
Responsibilities
We're hiring a B2B Lifecycle Marketing Manager to own how OpenArt's business audiences are nurtured, converted, and grown.
OpenArt sits on something most B2B marketers never get: millions of users, and inside that base, a large and growing pool of business audiences - Business Plan customers, professionals using OpenArt for work on consumer plans, and thousands of enterprise leads arriving every month from webinars, events, and content. Your job is to design the lifecycle around those pools: who to reach, with what, through which channel, at what moment - and when to stop.
Email is one channel, not the job. You'll orchestrate journeys across email, in-app messages, and website touchpoints, built from the content engine we already run: webinar series, industry events, thought leadership, and customer stories. Every journey drives one of two outcomes: the user upgrades to the Business Plan self-serve, or a high-potential account is surfaced to our sales team at exactly the right time.
You'll partner closely with RevOps on signals, scoring, and sales handoffs, with our product and growth teams on in-app channels, with product marketing on what the message says (you own who gets it, when, and whether it worked), and with the consumer lifecycle team on shared infrastructure, deliverability standards, and suppression rules, so business users never receive conflicting messages.
This is a hands-on builder role on a small, fast team: you'll find the opportunities in the data, design the journeys, write or adapt the copy, build and QA the campaigns, and prove the impact.
Why this is exciting
Own the engine behind a company-priority motion: self-serve Business Plan growth is one of OpenArt's top goals, and your journeys are how it happens.
Signal-rich from day one: work-email and behavior-based scoring refreshed daily, product usage events, and a lead base growing by thousands per month - most lifecycle marketers wait years for this much raw material.
Content to work with, not a blank page: a running webinar program, industry events, original data, and customer stories ready to be turned into journeys.
Greenfield ownership: business lifecycle has never had a dedicated owner here - you design the system, not inherit it.
Full-loop accountability: you'll see your work in revenue dashboards, not open rates.
Map and segment the business audience
Qualification
4-5 years in lifecycleA measurable recordMulti-channel instinctAnalytics fluencyA partnerComfort with ambiguity
Required
4-5 years in lifecycle, CRM, retention, or growth marketing - with hands-on B2B or B2C2B experience a must: you've nurtured business buyers, or converted professional users inside a consumer base to team and business plans, and you know how a work-email signal differs from a casual signup.
Experience in both self-serve and sales-assisted lifecycle programs: you've converted users to paid plans with no seller in the loop, and you've teed high-potential accounts up for one.
3+ years hands-on with a lifecycle platform such as Customer.io, Braze, Iterable, or HubSpot: you have personally built event-triggered journeys, segments, and personalized campaigns - including triggers where the data inputs weren't yet native to the tool.
A measurable record: you can name programs you built and the conversion, engagement, or pipeline numbers they moved.
Multi-channel instinct: you've run email plus at least one other owned channel (in-app, push, on-site), and you choose channels by moment, not by habit.
Strong copywriting and editing in a business voice, with sound judgment on deliverability, consent, QA, and message frequency.
Analytics fluency: cohorts, A/B tests, holdouts, and campaign and product analytics - you separate incremental impact from noise.
A partner, not an island: you work daily with RevOps, product, data, and other marketing teams, and you keep interfaces clean.
Comfort with ambiguity: incomplete data, a fast-changing product, and no playbook - you ship, measure, and improve.
