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Lifecycle Marketing Manager

LangChain

Lifecycle Marketing Manager

LangChain

San Francisco, CA

·

On-site

·

Full-time

·

3d ago

ABOUT US

At Lang Chain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.

Today, Lang Chain, Lang Graph, Lang Smith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust Lang Chain to power AI teams at companies like Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.

With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. Lang Chain is a place where your contributions can shape how this technology shows up in the real world.

ABOUT THE ROLE:

Location: San Francisco, CA (Full Time On-Site)

We're looking for a Lifecycle Marketer to own our nurture strategy from first touchpoint to sales conversation. This is a high-impact, execution-heavy role where you'll build and optimize behavior-driven journeys that accelerates leads through the funnel and turn early engagements into warm leads. You'll be setting the strategy, building the flows, pulling the customer journey data, writing initial drafts/briefs, and iterating based on what's working. You thrive in ambiguity, move fast, and know how to create structure where none exists.

WHAT YOU'LL DO:

Lead-to-Touch-Sales Nurture

  • Own the full lifecycle of lead nurture, from acquisition through to a sales-qualified conversation, across email and other channels.

  • Build and manage segmented email campaigns driven by lead source, firmographic data, behavioral signals, and intent triggers.

  • Design audience logic and A/B testing that delivers the right message at the right moment in the buying journey.

  • Consider sales team handoff criteria, scoring thresholds, and feedback loops that improve pipeline quality over time.

Product Onboarding Nurture:

  • Support onboarding flows that guide new users to key activation milestones and early moments of product value.

  • Work with PMM and Account Teams to map in-product behaviors to timely, relevant email and lifecycle touchpoints.

Analytics & Optimization:

  • Own reporting on all lifecycle journeys, open rates, click-through rates, conversion rates, pipeline influence and present findings clearly and regularly.

  • Identify drop-off points, surface optimization opportunities, and ship tests that move the numbers.

  • Use lead and user behavior data to sharpen segmentation and improve personalization across every journey.

Campaign Integration & Marketing Support:

  • Audit existing buyers journey and find opportunities to layer in lifecycle touchpoints that amplify broader marketing initiatives.

  • Spot gaps in the current marketing ecosystem and proactively surface ideas that support team-wide goals.

  • Collaborate across marketing to ensure lifecycle programs are plugged in to content, demand gen, events and product marketing efforts.

WHAT WE'RE LOOKING FOR:

  • Experience: 3–5 years in lifecycle marketing, or relevant growth roles.

  • Deep segmentation chops: You understand audience segmentation and behavioral trigger logic at a granular level and can translate that into well-structured, high-performing journeys.

  • Analytical mindset: You're comfortable pulling your own data, building reports, and turning insights into a clear optimization roadmap.

  • Strong execution: You've built and launched nurture programs end-to-end, strategy, copy, build, test, and report. You don't wait for someone else to do the work.

  • Comfort with ambiguity: You can define a path forward without a complete playbook and adjust quickly as things evolve.

  • Cross-functional collaboration: You work well with customer success, product, and marketing stakeholders and know how to align people around shared goals.

  • Platform fluency: Hands-on experience with marketing automation tools (e.g., HubSpot, Marketo, customer.io http://customer.io, or similar).

COMPENSATION:

  • We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.

  • Salary Range: $160-$180K

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About LangChain

LangChain

LangChain

Series B

A platform that provides open-source frameworks and tools for engineering and deploying language model agents.

51-200

Employees

San Francisco

Headquarters

$200M

Valuation

Reviews

3.4

3 reviews

Work Life Balance

2.5

Compensation

3.0

Culture

2.8

Career

3.2

Management

2.3

35%

Recommend to a Friend

Pros

Working with cutting-edge AI technologies like LangChain and RAG

Hands-on experience building end-to-end AI projects

Exposure to modern applied AI development

Cons

Uncertainty about long-term career prospects and employability

Projects rarely make it to production use

Lack of senior developer mentorship and guidance

Salary Ranges

9 data points

Mid/L4

Mid/L4 · Product Designer

1 reports

$178,619

total / year

Base

$155,147

Stock

-

Bonus

-

$178,619

$178,619

Interview Experience

10 interviews

Difficulty

2.7

/ 5

Duration

14-28 weeks

Offer Rate

60%

Experience

Positive 50%

Neutral 40%

Negative 10%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Assessment/Take-home

4

Technical Interview

5

Virtual Onsite/Final Round

6

Offer

Common Questions

System Design

Machine Learning/AI Knowledge

Coding/Algorithm

Technical Architecture

Behavioral/STAR