Marketing Operations Manager, Lilt
$128-192k
+ Opportunity to earn on-target earnings (OTE) + Equity
3 days a week in office
AI solution for enterprise translation and content creation
Be an early applicant
AI solution for enterprise translation and content creation
201-500 employees
Be an early applicant
$128-192k
+ Opportunity to earn on-target earnings (OTE) + Equity
3 days a week in office
201-500 employees
Company mission
To make the world's information accessible to everyone regardless of where they were born or which language they speak.
Role
Who you are
- 3-5 years in B2B SaaS or AI/ML marketing operations
- Smart, curious, and hard-working
- Deep experience with HubSpot (certifications a plus). You can build and scale marketing automation workflows, lead scoring models, and funnel reporting frameworks
- Experience building Salesforce reporting and using those reports to optimize campaign performance over time
- AI experience: basic prompt engineering, knowledge of one of more conversational AI platforms (Gemini, ChatGPT, Anthropic, etc.), and eagerness to implement AI technology across our marketing stack
- Obsessed with the metrics that matter: MQLs, pipeline, bookings, funnel conversion, velocity, CAC, and ROI
- Ability to build relationships and work cross functionally
- Natural collaborator and communicator — comfortable presenting to executives, boards, and cross-functional stakeholders
What the job involves
- This role is based in our San Francisco office, where we’re building a team of top talent to lead us through our next phase of growth
- This high-impact, hands-on role is responsible for owning and scaling our marketing operations function
- You will play a critical role in optimizing our marketing technology stack, streamlining our lead-to-opportunity process, and helping to maintain day-to-day department operations
- Working closely with GTM (go-to-market) Leadership across Sales Development, Marketing, and various Operations and Systems functions to drive process optimization and overall efficiency
- You’ll recommend, build and run cross-functional projects and process improvements that directly impact our operational efficiency and top-line growth of all revenue lines
- You’ll contribute to the strategy and execution of full-funnel marketing programs that drive predictable, scalable pipeline
- Full-funnel ownership. Design and optimize the entire lead funnel — from top-of-funnel acquisition through MQL to SQL handoff — driving higher conversion and increased velocity
- Leverage HubSpot. Architect scalable campaigns, lead scoring, nurture flows, AI orchestration, and attribution models using HubSpot as the backbone of the demand engine
- Salesforce Lead-to-Opp. Partner closely with RevOps to take ownership of the workflow from a new lead entering the system, through the various lead stages, and converting to an opportunity
- Lead/Contact Data Integrity. Work with internal tools and external vendors to maintain a high quality database of contacts across our target industries and personas
- Partner with Sales. Align tightly with revenue leadership to define pipeline goals, campaign targeting, SLAs, and lead management workflows
- Fuel growth. Partner closely with the demand gen team to drive multi-channel campaigns across email marketing, webinars, paid media, SEO, events, outbound motions, and ABM to meet ambitious growth targets
- Use data to scale. Build a data-driven culture. Forecast, measure, and communicate program results, continuously optimizing for ROI and CAC efficiency
- Collaborate cross-functionally. Work across demand gen, product marketing, SDRs, and sales ops, to build cohesive, conversion-optimized campaigns
- Department operations. Help with department-level planning for things like managing campaign budget, team meetings and activities, and annual planning
Our take
Widely available tools like Google Translate are not fit for complex, operationally intense processes that require expert translations. Manual methods of yesterday can't scale with the volume of digital information produced in the world today. Lilt works with companies, schools, and government agencies to provide AI-powered enterprise language translation. Lilt’s platform combines a translation management system and neural machine translation with human language experts to create a “human-in-the-loop” approach.
While companies like AI Translate offer intelligent machine translations, they still have linguists fine-tune and correct the texts afterward. With the Lilt platform, AI and humans work in collaboration through the text together, with the AI making real-time sentence suggestions and the linguist reviewing them immediately. This collaboration creates 3-5x better efficiency compared with traditional human-only translation services, aiding in Lilt's substantial rounds of funding.
Clients such as Asics, Canva, and Digital Ocean use Lilt technology for urgent campaigns and large-scale localisation projects. Recently, Lilt launched its V3.5 translation models, which improve quality by 15% to 20%, significantly enhancing translation accuracy and efficiency. Additionally, Lilt appointed a new Chief Revenue Officer to propel growth and scale, emphasising its commitment to expanding its market presence and improving its services further.
Steph
Company Specialist at Welcome to the Jungle
Insights
2% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Apr 2022
$55m
SERIES C
May 2020
$25m
SERIES B
Total funding: $91.9m
Company benefits
- Compensation: Meaningful equity, 401(k) matching, and flexible time off plus company holidays
- Medical Benefits: Employees receive coverage of medical, dental, and vision insurance, plus FSA/DFSA, HSA, and Commuter benefits. In addition, LILT pays for basic life insurance, short-term disability, and long-term disability
- Paid parental leave is provided after 6 months
- Monthly lifestyle benefit stipend via the Fringe platform to allow employees to customize benefits to their lifestyle
Company HQ
Emeryville, CA
Leadership
John DeNero
(Chief Scientist)Earned a PhD in Computer Science from the University of California, Berkeley. Previously Teaching Professor at UC Berkeley for 7 years and Senior Research Scientist at Google for 4 years.
Spence Green
(CEO)Earned a Ph.D. in Computer Science from Stanford University. Previously Research Assistant - Computer Science at Stanford University for 6 years and Fellow at XSeed Capital for 1 year.
Salary benchmarks
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