Cialfo is a leading platform connecting students, higher education institutions, and counselors through technology-driven solutions. Launched in 2017 with a mission to make education accessible to 100 million students, Cialfo provides a range of mobile and web solutions to students, K-12 institutions, and higher education institutions. We’re one of the fastest-growing tech startups in the region, consistently charting new heights!

This position is with Cialfo and BridgeU, one of the brands under Manifest Global, which also includes Explore and Kaaiser. 

About This Role

We are looking for a Senior Marketing Manager to own both go-to-market strategy and pipeline generation for the Cialfo and BridgeU K12 platform. This is a high-ownership, hands-on role that combines the strategic depth of a Product Marketing Lead with the execution rigour of a Demand Generation Lead.

You will own product positioning, messaging, competitive intelligence, and voice of the customer — while simultaneously driving pipeline across web, digital, lifecycle, events, social, and ABM. You will be the strategic link between what we build and how the market receives it, and you will own the campaign engine that converts that positioning into revenue.

You will use AI tools natively across the entire marketing lifecycle — from audience research and brief generation through to creative production, performance analysis, and reporting — and you will operate as a true partner to the K12 Sales team, owning MQL quality, the handoff process, and pipeline SLAs.

This role is based in Delhi, India and reports into the Head of Marketing, K12. This is an Individual Contributor role to begin with, with an opportunity to build and scale a team as the business grows.

What You Will Be Doing

Product Positioning & Messaging

• Build and own positioning, naming, and messaging frameworks for K12 product launches.
• Develop and maintain ICP definitions and buyer personas across K12 audience segments — schools, counselors, students, and parents — across different markets.
• Ensure messaging is regionally calibrated and relevant; what lands in LATAM needs a different frame in India or the Middle East.
• Partner with UX to align in-product messaging and onboarding flows.

Go-to-Market Execution

• Lead end-to-end GTM planning — from positioning through channel execution to adoption measurement.
• Drive feature adoption through in-product channels (email, push, in-app) coordinated with lifecycle triggers.
• Train internal stakeholders on every launch — Sales, CX, and leadership as a core GTM deliverable.
• Use AI tools to accelerate GTM output: content production, personalisation, testing, and reporting.

Pipeline Ownership & Demand Generation

• Own pipeline generation across all channels — digital, email, lifecycle, social, events, and ABM — fully attributed to revenue.
• Drive MQL volume and conversion rates across the K12 websites (Cialfo and BridgeU) and campaign channels.
• Manage pipeline efficiency from first touch to SQL handoff with clear SLA accountability to the Sales team.
• Set and track demand gen KPIs: MQL volume, cost per MQL, MQL-to-SQL conversion rate, pipeline contribution, and channel ROI.

Full-Funnel Campaign Execution

• Design and execute integrated campaigns across web, lifecycle email, social, events, content, and ABM.
• Own the campaign calendar, prioritising by pipeline impact and coordinating across channels for consistent messaging and timing.
• Manage external vendors and hold them accountable to performance targets, briefs, and delivery timelines.
• Build scalable campaign processes that enable faster execution and consistent cross-channel measurement.
• Run hypothesis-driven A/B tests across every channel — landing pages, email subject lines, ad creative, CTAs — and act on results fast.

Sales & CX Enablement

• Build and own the K12 enablement library: pitch decks, one-pagers, objection handling guides, battlecards, and demo talk tracks.
• Run regular enablement sessions with global Sales and CX teams.
• Partner with CX on customer success stories and reference content tied to specific product use cases.

Lifecycle & Email Marketing

• Own the full lifecycle marketing programme from first touch nurture through to re-engagement across the K12 audience of school leaders, administrators, and counselors.
• Design and manage automated workflows in HubSpot that move leads through the funnel and surface high-intent signals for Sales.
• Segment audiences by persona, behaviour, and funnel stage to deliver relevant messaging at the right moment.
• Monitor and improve lifecycle metrics: open rates, click-through rates, nurture-to-MQL conversion, and unsubscribe rates.

Voice of the Customer (VoC)

• Own Cialfo's structured VoC program for K12 — regular interviews and feedback loops with schools, counselors, and students across key markets.
• Synthesise qualitative and quantitative signals into actionable insights for Product, UX, and leadership.
• Build and maintain a VoC repository so customer language, pain points, and unmet needs are systematically captured and accessible.
• Run advisory panels or user research sprints in partnership with Product to inform the roadmap.

Win/Loss & Competitive Intelligence

• Own the win/loss program — conduct regular interviews with won and lost opportunities, synthesise findings, and present to Product, Sales, and leadership quarterly.
• Build and maintain competitive intelligence: monitor the landscape, develop battlecards, and keep Sales and CX equipped to win.
• Feed competitive and customer insights back into positioning and product feedback loops.

Social Demand Generation

• Run social as a demand gen channel — not just brand awareness — with a focus on generating engagement, traffic, and leads from LinkedIn and other relevant platforms.
• Build and manage social campaigns targeting school decision-makers across global markets.
• Collaborate with content and brand to ensure social creative is optimised for conversion, not just reach.

Website & Conversion Optimisation

• Own the Cialfo K12 website end to end — performance, conversion optimisation, lead capture, and user experience.
• Implement and monitor UTM tracking, campaign attribution, and accurate data capture across all entry points.
• Run continuous experiments on landing pages, forms, and conversion flows to improve MQL volume.

Sales Partnership & ABM

• Operate as a genuine partner to the K12 Sales org — attend pipeline reviews, understand deal velocity, and align demand gen programmes to Sales priorities.
• Own the MQL-to-SQL handoff process: lead scoring, SLA compliance, follow-up timelines, and lead quality feedback loops.
• Build and execute Account-Based Marketing programmes targeting priority school accounts across key markets.

AI-Powered Marketing Operations

• Use AI tools natively across the entire marketing lifecycle — from audience research, brief generation, and GTM planning through to creative production, performance analysis, and reporting.
• Use AI-assisted tools to design ad creative, write and test email copy, build landing page variants, and produce campaign reports faster than traditional workflows allow.
• Proactively evaluate and adopt new AI tools that improve campaign velocity, personalisation, or measurement accuracy.

Reporting & Optimisation

• Build and maintain dashboards tracking pipeline contribution, channel performance, funnel metrics, and campaign ROI.
• Report to the Head of Marketing, K12 on a regular cadence — with clear, data-driven recommendations.
• Translate campaign performance into budget reallocation decisions and channel prioritisation recommendations.

Cross-functional Collaboration

• Embed with Product Management throughout the development cycle — from discovery through launch.
• Be the voice of the customer for product and engineering teams.
• Engage global CX and Sales teams across multiple countries to gather insights and drive regional relevance.

About You

• Qualifications
  • Bachelor's or Postgraduate degree in Marketing, Business, Communications, or a related field.
• Experience & Skills
  • 6-8 years of marketing experience in a B2B or B2B2C organisation, with meaningful depth across both demand generation and product marketing.
  • Proven ownership of pipeline from web, digital, lifecycle, events, and other channels — with clear revenue attribution and a track record of improving funnel metrics over time.
  • Demonstrated track record of owning product positioning, messaging, and launches across B2B products.
  • Strong understanding of the B2B funnel: MQLs, SQLs, pipeline stages, SLA management, and what it means to be a genuine partner to a Sales org.
  • Experience with ABM strategy and execution targeting institutional or enterprise buyers.
  • Experience running VoC programmes — structured customer research, interviews, or advisory panels that influenced product or positioning decisions.
  • Hands-on experience with a win/loss analysis programme — not just contributing to one, but shaping how it works.
  • Experience building Sales enablement programmes — training and structured rhythms, not just collateral.
  • Hands-on experience running campaigns across web, paid digital, lifecycle/email, and social. Comfortable owning multiple channels simultaneously.
  • Strong analytical skills — comfortable with attribution modelling, CRM data, dashboard building, and translating funnel insights into clear campaign and budget decisions.
  • Experience owning a B2B website — CMS management, lead capture optimisation, and working with UTMs and tracking logic to ensure all traffic is measurable.
  • Deep proficiency in HubSpot workflows, lifecycle stages, lead scoring, automation, attribution, and reporting.
  • Demonstrated use of AI tools in day-to-day marketing work — for planning, creative, copy, performance analysis, or reporting.
  • Experience launching products in India, South East Asia, China, Australia, or similar markets.
  • Proven ability to lead cross-functional work — aligning with Sales, Content, Product, and external agencies to execute campaigns and drive shared pipeline goals.
• Qualities
  • You are a hands-on operator. You don't just strategise — you build and execute across every channel.
  • You think in customer language — you can take a complex feature and turn it into a message a buyer or school counselor could resonate with.
  • You are a genuine Sales partner — you understand pipeline, speak in revenue terms, and take MQL quality personally.
  • You are the connective tissue between Product, Sales, CX, and UX — aligning people across functions and time zones without needing a title to do it.
  • You are AI-native. You reach for AI tools first and use them to move faster, not as a novelty.
  • You are a natural experimenter — you A/B test instinctively and always run campaigns with a clear hypothesis.
  • You are a strong lifecycle thinker — you understand how to move an audience through a funnel, not just generate top-of-funnel noise.
  • You are data-driven: product adoption metrics, VoC findings, win/loss patterns, and campaign performance all inform how you work.
  • You are equally comfortable at strategic and executional levels — you write the strategy and then go execute it yourself.
  • You are organised and detail-oriented across tracking, attribution, tagging, and reporting.
  • You thrive in fast-paced, high-ownership environments and can manage multiple campaigns simultaneously.
  • You have genuine curiosity about the K12 education space — the counselor workflow, the student journey, and the institutional buying process.

About the Role:

Seeking a passionate Senior Engineer to join our Content Engineering team. This team specializes in large-scale content processing using cutting-edge technologies. In this role, you'll leverage AI applications (NLP, LLM) for document understanding, including, but not limited to, document classification, text categorization, data extraction, and semantic similarity.

Requirements:
      Must have 

• 6+ years of experience as a software engineer, primarily with Python
• Ideally, you possess an advanced degree (Bachelor's / Master's)  in Computer Science, Computer Engineering, or a relevant field with a focus on Artificial Intelligence, machine learning, but equivalent industry experience may be considered
• 2+ years of hands-on experience building and deploying applications that use Large Language Models (LLMs). 
• Experience in extracting structured JSON from text using LLMs and a deep understanding of Prompt Engineering.
• Proficiency in classic NLP libraries for tasks like NER, text classification, and pre-processing.
• Experience with LLM tracing, debugging and evaluation platforms such as Langfuse.
• Excellent communication, organizational, problem-solving, debugging, and analytical skills.

        Great to have 

• Experience in async processing of data at scale
• Using frameworks like LangChain, HuggingFace, and backend web frameworks like FastAPI.
• Expertise on core engineering skills - Cloud, microservice architecture, caching, and queuing.
• Familiarity with concepts/tools as Docker, k8s, VCS, CI/CD
• Previous experience in data extraction from specific domains (e.g., financial reports, news).
  
  

Responsibilities:

• Deploy LLM based production grade solutions.
• Fine-tune and adapt State of the art LLMs for specialized data extraction tasks. Develop innovative prompt engineering strategy and systems to maximize reliability and performance on confidential business documents.
• Solve Engineering challenges that come along with LLM solutions, such as high latency, non-deterministic output, etc.
• Implement and scale data processing pipelines that can process high volumes of complex documents with high accuracy and efficiency.
• Integrate and manage LLM Observability to trace, debug, and monitor every extraction
• Own systems end-to-end, including(but not limited to) designing, coding, monitoring, testing, CI/CD and on-call support.

About the Role:

Seeking a passionate Senior Engineer to join our Content Engineering team. This team specializes in large-scale content processing using cutting-edge technologies. In this role, you'll leverage AI applications (NLP, LLM) for document understanding, including, but not limited to, document classification, text categorization, data extraction, and semantic similarity.

Requirements:
      Must have 

• 6+ years of experience as a software engineer, primarily with Python
• Ideally, you possess an advanced degree (Bachelor's / Master's)  in Computer Science, Computer Engineering, or a relevant field with a focus on Artificial Intelligence, machine learning, but equivalent industry experience may be considered
• 2+ years of hands-on experience building and deploying applications that use Large Language Models (LLMs). 
• Experience in extracting structured JSON from text using LLMs and a deep understanding of Prompt Engineering.
• Proficiency in classic NLP libraries for tasks like NER, text classification, and pre-processing.
• Experience with LLM tracing, debugging and evaluation platforms such as Langfuse.
• Excellent communication, organizational, problem-solving, debugging, and analytical skills.

        Great to have 

• Experience in async processing of data at scale
• Using frameworks like LangChain, HuggingFace, and backend web frameworks like FastAPI.
• Expertise on core engineering skills - Cloud, microservice architecture, caching, and queuing.
• Familiarity with concepts/tools as Docker, k8s, VCS, CI/CD
• Previous experience in data extraction from specific domains (e.g., financial reports, news).
  
  

Responsibilities:

• Deploy LLM based production grade solutions.
• Fine-tune and adapt State of the art LLMs for specialized data extraction tasks. Develop innovative prompt engineering strategy and systems to maximize reliability and performance on confidential business documents.
• Solve Engineering challenges that come along with LLM solutions, such as high latency, non-deterministic output, etc.
• Implement and scale data processing pipelines that can process high volumes of complex documents with high accuracy and efficiency.
• Integrate and manage LLM Observability to trace, debug, and monitor every extraction
• Own systems end-to-end, including(but not limited to) designing, coding, monitoring, testing, CI/CD and on-call support.

About the Role:

Seeking a passionate Senior Engineer to join our Content Engineering team. This team specializes in large-scale content processing using cutting-edge technologies. In this role, you'll leverage AI applications (NLP, LLM) for document understanding, including, but not limited to, document classification, text categorization, data extraction, and semantic similarity.

Requirements:
      Must have 

• 6+ years of experience as a software engineer, primarily with Python
• Ideally, you possess an advanced degree (Bachelor's / Master's)  in Computer Science, Computer Engineering, or a relevant field with a focus on Artificial Intelligence, machine learning, but equivalent industry experience may be considered
• 2+ years of hands-on experience building and deploying applications that use Large Language Models (LLMs). 
• Experience in extracting structured JSON from text using LLMs and a deep understanding of Prompt Engineering.
• Proficiency in classic NLP libraries for tasks like NER, text classification, and pre-processing.
• Experience with LLM tracing, debugging and evaluation platforms such as Langfuse.
• Excellent communication, organizational, problem-solving, debugging, and analytical skills.

        Great to have 

• Experience in async processing of data at scale
• Using frameworks like LangChain, HuggingFace, and backend web frameworks like FastAPI.
• Expertise on core engineering skills - Cloud, microservice architecture, caching, and queuing.
• Familiarity with concepts/tools as Docker, k8s, VCS, CI/CD
• Previous experience in data extraction from specific domains (e.g., financial reports, news).
  
  

Responsibilities:

• Deploy LLM based production grade solutions.
• Fine-tune and adapt State of the art LLMs for specialized data extraction tasks. Develop innovative prompt engineering strategy and systems to maximize reliability and performance on confidential business documents.
• Solve Engineering challenges that come along with LLM solutions, such as high latency, non-deterministic output, etc.
• Implement and scale data processing pipelines that can process high volumes of complex documents with high accuracy and efficiency.
• Integrate and manage LLM Observability to trace, debug, and monitor every extraction
• Own systems end-to-end, including(but not limited to) designing, coding, monitoring, testing, CI/CD and on-call support.

About the Role:

Seeking a passionate Senior Engineer to join our Content Engineering team. This team specializes in large-scale content processing using cutting-edge technologies. In this role, you'll leverage AI applications (NLP, LLM) for document understanding, including, but not limited to, document classification, text categorization, data extraction, and semantic similarity.

Requirements:
      Must have 

• 6+ years of experience as a software engineer, primarily with Python
• Ideally, you possess an advanced degree (Bachelor's / Master's)  in Computer Science, Computer Engineering, or a relevant field with a focus on Artificial Intelligence, machine learning, but equivalent industry experience may be considered
• 2+ years of hands-on experience building and deploying applications that use Large Language Models (LLMs). 
• Experience in extracting structured JSON from text using LLMs and a deep understanding of Prompt Engineering.
• Proficiency in classic NLP libraries for tasks like NER, text classification, and pre-processing.
• Experience with LLM tracing, debugging and evaluation platforms such as Langfuse.
• Excellent communication, organizational, problem-solving, debugging, and analytical skills.

        Great to have 

• Experience in async processing of data at scale
• Using frameworks like LangChain, HuggingFace, and backend web frameworks like FastAPI.
• Expertise on core engineering skills - Cloud, microservice architecture, caching, and queuing.
• Familiarity with concepts/tools as Docker, k8s, VCS, CI/CD
• Previous experience in data extraction from specific domains (e.g., financial reports, news).
  
  

Responsibilities:

• Deploy LLM based production grade solutions.
• Fine-tune and adapt State of the art LLMs for specialized data extraction tasks. Develop innovative prompt engineering strategy and systems to maximize reliability and performance on confidential business documents.
• Solve Engineering challenges that come along with LLM solutions, such as high latency, non-deterministic output, etc.
• Implement and scale data processing pipelines that can process high volumes of complex documents with high accuracy and efficiency.
• Integrate and manage LLM Observability to trace, debug, and monitor every extraction
• Own systems end-to-end, including(but not limited to) designing, coding, monitoring, testing, CI/CD and on-call support.

About the Role:

Seeking a passionate Senior Engineer to join our Content Engineering team. This team specializes in large-scale content processing using cutting-edge technologies. In this role, you'll leverage AI applications (NLP, LLM) for document understanding, including, but not limited to, document classification, text categorization, data extraction, and semantic similarity.

Requirements:
      Must have 

• 6+ years of experience as a software engineer, primarily with Python
• Ideally, you possess an advanced degree (Bachelor's / Master's)  in Computer Science, Computer Engineering, or a relevant field with a focus on Artificial Intelligence, machine learning, but equivalent industry experience may be considered
• 2+ years of hands-on experience building and deploying applications that use Large Language Models (LLMs). 
• Experience in extracting structured JSON from text using LLMs and a deep understanding of Prompt Engineering.
• Proficiency in classic NLP libraries for tasks like NER, text classification, and pre-processing.
• Experience with LLM tracing, debugging and evaluation platforms such as Langfuse.
• Excellent communication, organizational, problem-solving, debugging, and analytical skills.

        Great to have 

• Experience in async processing of data at scale
• Using frameworks like LangChain, HuggingFace, and backend web frameworks like FastAPI.
• Expertise on core engineering skills - Cloud, microservice architecture, caching, and queuing.
• Familiarity with concepts/tools as Docker, k8s, VCS, CI/CD
• Previous experience in data extraction from specific domains (e.g., financial reports, news).
  
  

Responsibilities:

• Deploy LLM based production grade solutions.
• Fine-tune and adapt State of the art LLMs for specialized data extraction tasks. Develop innovative prompt engineering strategy and systems to maximize reliability and performance on confidential business documents.
• Solve Engineering challenges that come along with LLM solutions, such as high latency, non-deterministic output, etc.
• Implement and scale data processing pipelines that can process high volumes of complex documents with high accuracy and efficiency.
• Integrate and manage LLM Observability to trace, debug, and monitor every extraction
• Own systems end-to-end, including(but not limited to) designing, coding, monitoring, testing, CI/CD and on-call support.

About the Role:

Seeking a passionate Senior Engineer to join our Content Engineering team. This team specializes in large-scale content processing using cutting-edge technologies. In this role, you'll leverage AI applications (NLP, LLM) for document understanding, including, but not limited to, document classification, text categorization, data extraction, and semantic similarity.

Requirements:
      Must have 

• 6+ years of experience as a software engineer, primarily with Python
• Ideally, you possess an advanced degree (Bachelor's / Master's)  in Computer Science, Computer Engineering, or a relevant field with a focus on Artificial Intelligence, machine learning, but equivalent industry experience may be considered
• 2+ years of hands-on experience building and deploying applications that use Large Language Models (LLMs). 
• Experience in extracting structured JSON from text using LLMs and a deep understanding of Prompt Engineering.
• Proficiency in classic NLP libraries for tasks like NER, text classification, and pre-processing.
• Experience with LLM tracing, debugging and evaluation platforms such as Langfuse.
• Excellent communication, organizational, problem-solving, debugging, and analytical skills.

        Great to have 

• Experience in async processing of data at scale
• Using frameworks like LangChain, HuggingFace, and backend web frameworks like FastAPI.
• Expertise on core engineering skills - Cloud, microservice architecture, caching, and queuing.
• Familiarity with concepts/tools as Docker, k8s, VCS, CI/CD
• Previous experience in data extraction from specific domains (e.g., financial reports, news).
  
  

Responsibilities:

• Deploy LLM based production grade solutions.
• Fine-tune and adapt State of the art LLMs for specialized data extraction tasks. Develop innovative prompt engineering strategy and systems to maximize reliability and performance on confidential business documents.
• Solve Engineering challenges that come along with LLM solutions, such as high latency, non-deterministic output, etc.
• Implement and scale data processing pipelines that can process high volumes of complex documents with high accuracy and efficiency.
• Integrate and manage LLM Observability to trace, debug, and monitor every extraction
• Own systems end-to-end, including(but not limited to) designing, coding, monitoring, testing, CI/CD and on-call support.