Hacktiv8 is an in-depth reskilling program (bootcamp) that transforms beginners into job-ready digital talents.
Since 2016, we have been dedicated to addressing the technology skills gap through a comprehensive and practical curriculum that prepares students for successful careers and contributes to Indonesia's economic growth.
With over 7,200 trained students, we drive digital transformation and equip individuals in the dynamic technology industry.
Our purpose is to see our students grow, succeed, and make a difference in their industries.
We are driven by the belief that through education and empowerment, we can change lives and shape a brighter future for everyone involved.
Hacktiv8 is currently expanding our talent pool of AI Subject Matter Experts (SMEs) to support our upcoming training needs and learning programs. We’re looking for professionals with practical experience applying AI / Generative AI in their day-to-day work — whether in Technology, Product, Marketing, Sales, Operations, Business, or other relevant functions.
This is a freelance / seasonal / project-based collaboration, with engagement depending on program needs, project scope, and your area of expertise.
You don’t necessarily need to be an AI developer or someone who builds AI models. We’re particularly interested in professionals who have experience using, integrating, or implementing AI tools into real-world workflows to improve productivity, decision-making, automation, customer experience, sales, marketing performance, or other business outcomes.
5+ years of professional experience
Currently or previously working at Senior Specialist / Lead / Supervisor / Manager level
Experience working in a technology, digital, or tech-enabled company is preferred
Hands-on experience using AI / Generative AI tools in your work
Experience integrating AI with other tools, workflows, dashboards, or business processes
Able to share practical AI use cases and translate them into real-world business applications
Strong communication and presentation skills
Previous experience as a trainer, facilitator, mentor, consultant, or speaker is a plus
Potential areas of SME contribution include:
AI for Managers & Leaders
AI for Work Productivity
AI Automation – Low-Code
AI for Tech & Developers
AI Productivity with the Gemini Ecosystem
Generative AI for Creative Production
AI for Marketing & Sales Productivity
You don’t need to be an expert across all topics. We’re looking for SMEs who have strong expertise in one or more areas and can bring practical, hands-on perspectives from their own professional experience.
About the Role
The Student Acquisition Lead is responsible for driving B2C student acquisition and enrollment growth across Hacktiv8 programs. This role oversees the end-to-end customer journey, from lead acquisition and nurturing to admissions, conversion, and student enrollment.
Working closely with Marketing and Admissions teams, this role ensures effective lead management, a seamless customer experience, and continuous improvement in conversion rates from raw leads to enrolled students. The role also leads the Student Growth and Admissions team to achieve enrollment and revenue targets.
Responsibilities
Own the end-to-end B2C acquisition funnel, from raw lead generation to student enrollment.
Develop and execute strategies to improve lead quality, conversion rates, and enrollment performance.
Oversee the end-to-end customer journey, ensuring effective lead handover, follow-up, and admissions processes.
Lead and manage the Student Growth and Admissions team to achieve enrollment and revenue targets.
Monitor funnel performance, identify conversion bottlenecks, and implement data-driven improvements.
Collaborate with Marketing, Student Success, and Business Development teams to optimize acquisition and enrollment initiatives.
Track key metrics, forecast enrollment performance, and provide actionable insights to leadership.
Requirements
5–7+ years of experience in B2C Acquisition, Growth, Sales, Business Development, or related roles. EdTech or Tech industry experience is preferred.
Proven experience managing B2C acquisition funnels, lead management, and conversion optimization.
Demonstrated ability to own and achieve conversion, enrollment, sales, or revenue targets.
Strong understanding of customer acquisition, lead nurturing, admissions, and customer experience.
Strong analytical skills with the ability to translate funnel data into actionable improvements.
Proven people management and cross-functional collaboration skills.
Hands-on, execution-oriented, and comfortable working in a fast-paced environment.
Additional Information
Employment Status: Full-time
Duration: 6 months contract
Working Arrangement: Hybrid (2 days WFO & 3 days WFH)
Office location: Jakarta selatan
Hacktiv8 is a technology education company that develops industry-ready digital talent through intensive bootcamp programs. We are looking for a Data Science Instructor to deliver engaging classes and help students build practical, industry-ready Data Science skills.
Job Description:
Deliver engaging Data Science classes covering Data Analytics, Data Science, and foundational Data Engineering based on Hacktiv8’s teaching standards.
Conduct live coding, hands-on exercises, and practical projects using real-world data and business problems.
Explain complex data and technical concepts in a clear, practical, and easy-to-understand way.
Guide students in applying data-driven approaches to solve problems and develop analytical solutions.
Support students with technical troubleshooting related to Python, SQL, data analysis, modeling, and visualization.
Grade and provide constructive, actionable feedback on student assignments and projects.
Conduct 1-on-1 mentoring, evaluations, and additional learning sessions when needed.
Develop and improve teaching materials, exercises, assignments, projects, and assessment rubrics.
Research relevant industry trends, tools, and skills to keep learning content up to date.
Share practical industry insights and experiences to enrich students’ learning.
Collaborate with instructors, SMEs, curriculum, and academic operations teams to improve curriculum and student experience.
Requirements:
Bachelor’s degree in STEM, IT, Computer Science, Statistics, Mathematics, or a related field.
Minimum 3 years of professional experience in Data Science, Data Analytics, Business Intelligence, or a related data-focused role.
Strong understanding of end-to-end data workflows, including data preparation, analysis, modeling, visualization, and deployment.
Strong Python skills for data analysis and machine learning, particularly pandas, NumPy, and scikit-learn.
Strong SQL skills and familiarity with NoSQL databases.
Understanding of statistics, machine learning fundamentals, ETL, and data pipelines.
Experience with data visualization tools such as Power BI, Tableau, Looker Studio, Matplotlib, or Seaborn.
Familiarity with Git/GitHub, command-line tools, and basic development workflows is preferred.
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud is a plus.
Strong analytical, problem-solving, teaching, and communication skills, with the ability to simplify complex concepts.
Experience in teaching, mentoring, live coding, or developing learning materials is preferred.
Passion for education, technology, and continuous learning.
Employment Details
📍 Working Arrangement : WFO / Onsite (Pondok Indah, Jakarta Selatan)
📅 Working Days: Monday – Friday (09.00 - 18.00)
đź’Ľ Employment Type: Full-time Contract - 6 months
Part-time Data Analytics Instructor (Remote)
Hacktiv8 is a technology education company that develops industry-ready digital talent through intensive bootcamp programs. We are looking for a Data Analytics Instructor to deliver engaging classes for our CODA bootcamp while supporting the development of learning materials and student learning activities.
Job Description:
Deliver engaging Data Analytics classes covering SQL, Data Analysis, Data Visualization, and Business Analytics based on Hacktiv8’s teaching standards.
Explain technical and analytical concepts in a clear, practical, and easy-to-understand way through examples, exercises, and hands-on activities.
Guide students in developing analytical thinking and applying data to solve real-world business problems.
Support students with technical troubleshooting related to SQL, Python, data analysis, and visualization.
Grade and provide constructive, actionable feedback on student assignments and projects.
Conduct 1-on-1 mentoring, evaluations, and additional learning sessions when needed.
Develop and improve teaching materials, exercises, case studies, assignments, and assessment rubrics.
Research relevant industry trends, tools, and skills to keep learning content up to date.
Share industry insights and practical experiences to enrich students’ learning.
Collaborate with instructors, SMEs, curriculum, and academic operations teams to improve curriculum and student experience.
Requirements:
Bachelor’s degree in Statistics, Mathematics, Computer Science, IT, Data Science, Business Analytics, or a related field.
Minimum 3 years of professional experience in Data Analytics, Business Intelligence, or a related data-focused role.
Strong proficiency in SQL, including joins, aggregation, subqueries, CTEs, and window functions.
Hands-on experience with Python for data analysis, particularly pandas and NumPy.
Strong understanding of data cleaning, preparation, EDA, data validation, and basic statistics.
Experience with data visualization/dashboarding tools such as Power BI, Tableau, Looker Studio, Matplotlib, or Seaborn.
Understanding of basic ETL/data pipeline and data quality concepts.
Experience in teaching, mentoring, or developing learning materials is preferred.
Strong communication and presentation skills, with the ability to simplify complex concepts and engage learners.
Familiarity with Git/GitHub and cloud-based data platforms is a plus.
Employment Details
📍 Working Arrangement : Remote / Online
📅 Working Days: Monday – Friday (19:00-22:00)
đź’Ľ Employment Type: Part-time
Part-time Golang Instructor (Remote)
Hacktiv8 is a technology education company that transforms beginners into qualified digital talents through intensive bootcamp programs in Fullstack Development, Data Science, Data Analytics, Golang, and AI Engineer. We are looking for a Curriculum Development & Instructor Golang to develop high-quality learning materials and teach students in our Golang bootcamp.
What You’ll Do:
Lead interactive learning sessions on Golang nightbootcamps, ensuring students grasp both the theoretical and practical aspects of the backend area.
Deliver lesson plans, and homework assignments as instructors to use in class
Develop fair evaluation criteria, provide constructive feedback on assignments.
Committed to students long-term success.
Providing mentorship, direction, and sharing knowledge by interacting with students on a daily basis.
Inspire students by fostering a growth mindset and encouraging collaboration and critical thinking.
Role Requirements:
Bachelor degree in STEM, IT or IT-related field
4+ years experience of hands-on experience in developing and testing Go apps on Back End Web Development for medium to large scale applications
1 year experience in education - teaching or creating educational content
Good understanding of Algorithms & Data Structures
Strong knowledge of Go programming language, paradigms, constructs, and idioms
Strong knowledge of Go frameworks, especially Gin and common Goroutine and channel patterns
Experience with Object-Oriented Programming, RESTful, API, JSON/XML/HTML protocol, ORM, and Database Technologies: MySQL/ PostgreSQL and MongoDB
Experience using GormFluency and experience developing Authentication & Authorization and Middleware
Having the experience to deploy applications ( AWS for back-end)
Experience with developer tools such as Git, GitHub, Command-Line, and PostmanFluency
Experience with unit testing for Go
Experience with infrastructure and systems engineering, and scaling services on cloud computing platforms like GCP
Attention to the detail
Able to collaborate with a wide variety of people
Employment Details
📍 Working Arrangement : Remote / Online
📅 Working Days: Monday – Friday (19:00-22:00)
đź’Ľ Employment Type: Part-time