📌 Core Information
🔹 Job Title: AI Ops Analyst - Marketing
🔹 Company: Sprinto
🔹 Location: Remote (India)
🔹 Job Type: Remote
🔹 Category: Marketing
🔹 Date Posted: 2025-07-05
🔹 Experience Level: 2-5 years
🔹 Remote Status: Remote (India)
🚀 Job Overview
Key aspects of this role include:
- Operationalizing advanced AI/ML models and generative AI tools to drive marketing growth and efficiency
- Automating and optimizing digital campaigns, content distribution, and lead nurturing
- Collaborating with cross-functional teams to build smart, automated marketing systems
- Gaining hands-on experience with cutting-edge AI technologies
ASSUMPTION: This role is ideal for candidates passionate about leveraging AI to transform marketing and drive scalable growth.
📋 Key Responsibilities
✅ Lead the rollout and integration of AI tools across the marketing tech stack, including platforms like OpenAI, Jasper, HubSpot AI, and custom LLMs
✅ Use AI to automate and continuously optimize digital campaigns, content distribution, lead nurturing, and personalization at scale
✅ Build and refine workflows powered by large language models (e.g., ChatGPT), enabling automated content generation, audience targeting, and internal knowledge access
✅ Deploy AI/ML models to score leads, predict conversion likelihood, segment audiences dynamically, and route leads intelligently to sales teams
✅ Automate marketing processes using AI and low-code/no-code tools like Zapier or Make
✅ Use AI to extract insights from marketing performance data, identify trends, recommend actions, and generate auto-summaries for stakeholders
✅ Define guardrails for ethical AI usage in marketing, track model performance, ensure data privacy compliance, and continuously improve system reliability
ASSUMPTION: Successful candidates will have a strong understanding of marketing tech stacks and how data flows across systems, as well as hands-on skills in Python, SQL, or JavaScript for data transformation and API integration.
🎯 Required Qualifications
Education: Bachelor’s degree in Computer Science, Data Science, Marketing Technology, or a related field
Experience: 2+ years of experience in AI operations, marketing technology, or data-driven marketing roles
Required Skills:
- Experience working with AI/ML tools and integrating them into real-world marketing workflows
- Strong understanding of marketing tech stacks and how data flows across systems
- Ability to build and manage custom APIs to connect disparate tools, automate workflows, and enhance marketing performance
- Familiarity with webhooks, data pipelines, or platforms like Zapier, Make, or custom scripts to unify and activate data
- Hands-on skills in Python, SQL, or JavaScript for data transformation and API integration
- Experience building intelligent agents or copilots tailored for marketing teams to drive efficiency and insights
- Experience in using AI to improve lead scoring, content generation, campaign optimization, or customer segmentation
- A curious mindset with a strong sense of ownership, problem-solving skills, and attention to operational detail
Preferred Skills:
- Hands-on experience with prompt engineering and fine-tuning of LLMs
- Exposure to AI frameworks like LangChain, RAG architecture, or vector databases (e.g., Pinecone, Weaviate)
- Understanding of attribution modeling, funnel analytics, and MarTech ecosystems (HubSpot, Apollo, ZoomInfo, Pabbly, Intercom, etc.)
ASSUMPTION: Candidates with experience in prompt engineering and AI frameworks will have a competitive edge in this role.
💰 Compensation & Benefits
Salary Range: INR 8-12 LPA (Estimated based on industry standards for the role, experience level, and location)
Benefits:
- Remote First Policy
- 5 Days Working With FLEXI Hours
- Group Medical Insurance (Parents, Spouse, Children)
- Group Accident Cover
- Company-Sponsored Device
- Education Reimbursement Policy
Working Hours: 40 hours per week with flexible hours
ASSUMPTION: The salary range is estimated based on industry standards for AI Ops Analyst roles in the marketing domain, considering the candidate's experience level and location.
📌 Applicant Insights
🔍 Company Context
Industry: Software Development
Company Size: 201-500 employees (Mid-sized company with a dynamic work environment)
Founded: 2020 (Established startup with a focus on growth and innovation)
Company Description:
- Automating information security compliance and privacy laws for fast-growing SaaS companies
- Helping clients obtain information security compliance, close enterprise deals faster, and pass vendor security assessments easily
- Rated 4.8 🌟 on G2
Company Specialties:
- Information Security Compliance
- Privacy Laws
- SaaS Companies
Company Website: https://www.sprinto.com
ASSUMPTION: Sprinto is a growing company focused on helping SaaS businesses streamline their information security compliance processes.
📊 Role Analysis
Career Level: Mid-level (2-5 years of experience)
Reporting Structure: This role reports directly to the Marketing team and collaborates with cross-functional teams
Work Arrangement: Remote (India) with flexible hours
Growth Opportunities:
- Potential career growth in AI operations, marketing technology, or data-driven marketing roles
- Opportunities to work with cutting-edge AI technologies and gain hands-on experience
- Chance to contribute to meaningful, scalable growth with a future-forward marketing team
ASSUMPTION: This role offers growth opportunities in AI operations and marketing technology, as well as exposure to cutting-edge AI technologies.
🌍 Location & Work Environment
Office Type: Remote (No physical office)
Office Location(s): San Francisco, California, USA & Bengaluru, India
Geographic Context:
- Remote work allows for a flexible work-life balance
- India has a large and growing tech industry, with many opportunities for professional development
- The company has offices in both the US and India, offering a diverse work environment
Work Schedule: 5 days a week with flexible hours
ASSUMPTION: The remote work environment offers a flexible work-life balance and the opportunity to work with a diverse team across different time zones.
💼 Interview & Application Insights
Typical Process:
- Online application submission
- Phone or video screen with the hiring manager
- Technical interview focusing on AI/ML skills and marketing tech stack knowledge
- Final round with the marketing team to assess cultural fit and problem-solving skills
Key Assessment Areas:
- AI/ML skills and experience
- Understanding of marketing tech stacks and data flows
- Problem-solving skills and attention to operational detail
- Cultural fit and alignment with company values
Application Tips:
- Highlight relevant AI/ML projects and marketing tech stack experience in your resume
- Prepare for behavioral questions that assess your problem-solving skills and attention to detail
- Research the company and its products to demonstrate your enthusiasm and understanding of their mission
ATS Keywords: AI Operations, Marketing Technology, Data-Driven Marketing, AI/ML Tools, Marketing Tech Stacks, Custom APIs, Webhooks, Data Pipelines, Python, SQL, JavaScript, Lead Scoring, Content Generation, Campaign Optimization, Customer Segmentation
ASSUMPTION: The interview process will focus on assessing the candidate's AI/ML skills, marketing tech stack knowledge, and cultural fit with the company.
🛠️ Tools & Technologies
- AI/ML Tools: OpenAI, Jasper, HubSpot AI, custom LLMs
- Marketing Tech Stack: HubSpot, Apollo, ZoomInfo, Pabbly, Intercom
- Programming Languages: Python, SQL, JavaScript
- Low-code/No-code Tools: Zapier, Make
ASSUMPTION: The candidate should have experience with the listed AI/ML tools, marketing tech stack, and programming languages.
👔 Cultural Fit Considerations
Company Values:
- Innovation
- Customer-centricity
- Collaboration
- Integrity
Work Style:
- Dynamic and fast-paced
- Collaborative and cross-functional
- Focused on driving growth and innovation
Self-Assessment Questions:
- Do you thrive in dynamic, fast-paced environments?
- Are you comfortable working collaboratively with cross-functional teams?
- Do you have a strong sense of ownership and attention to operational detail?
ASSUMPTION: Successful candidates will be comfortable working in a dynamic, fast-paced environment and have a strong sense of ownership and attention to operational detail.
⚠️ Potential Challenges
- Keeping up with the fast pace of AI technology and its applications in marketing
- Ensuring ethical AI usage and data privacy compliance in marketing processes
- Managing multiple stakeholders and balancing competing priorities
- Adapting to a remote work environment and collaborating effectively with a distributed team
ASSUMPTION: Successful candidates will be able to adapt to a fast-paced environment, manage multiple stakeholders, and work effectively in a remote setting.
📈 Similar Roles Comparison
- This role focuses more on AI operations and integration than traditional marketing roles
- It requires a strong understanding of both AI/ML tools and marketing tech stacks
- Career progression may involve specializing in AI operations or transitioning into a more senior marketing role
ASSUMPTION: This role is unique in its focus on AI operations and integration within the marketing domain, requiring a strong understanding of both AI/ML tools and marketing tech stacks.
📝 Sample Projects
- Integrating OpenAI's API into a marketing automation workflow to generate personalized content
- Building a custom LLM to automate customer segmentation and targeting based on historical data
- Implementing a predictive lead scoring model using AI/ML algorithms to improve lead quality and conversion rates
ASSUMPTION: These sample projects demonstrate the application of AI/ML tools and techniques to solve real-world marketing challenges.
❓ Key Questions to Ask During Interview
- How does this role fit into the overall marketing strategy and roadmap?
- What are the most pressing challenges facing the marketing team, and how can AI/ML tools help address them?
- How does the company support the professional development and growth of its employees?
- What is the team structure and dynamic, and how does this role collaborate with other teams?
- How does the company ensure ethical AI usage and data privacy compliance in its marketing processes?
ASSUMPTION: These interview questions will help candidates assess the role's fit within the company's marketing strategy, team dynamics, and commitment to ethical AI usage.
📌 Next Steps for Applicants
To apply for this position:
- Submit your application through this link
- Tailor your resume and cover letter to highlight your relevant AI/ML projects and marketing tech stack experience
- Prepare for technical and behavioral interview questions focusing on your AI/ML skills, marketing tech stack knowledge, and problem-solving abilities
- Follow up with the hiring manager one week after your final interview to express your continued interest in the role
⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.
