Odoo ERP Consultant

About Us

Wednesday is a technology consulting and engineering firm based in Pune. We specialise in helping digital-first businesses solve complex engineering problems. Our expertise lies in data engineering, applied AI, and app development. We offer our expertise through our services: Launch, Catalyse, Amplify, and Control.

We're a passionate bunch of people who take their work seriously. We deeply care about each other and are united by the cause of building teams that delivery great digital products & experiences.

Job Description

We are seeking Senior Software Engineers who can architect and ship fullstack digital products at a high bar — using AI-assisted development tools to move faster without cutting corners. This role spans platform, product, and go-to-market — you'll own backend systems, shape frontend experiences, make infrastructure decisions, and set a higher engineering standard for the team around you. The ideal candidate has designed systems they can defend, shipped products at scale, and knows what it takes to get there.

Requirements

Product & Client Ownership Be the day-to-day technical owner on engagements — understand the client's business deeply, shape the product roadmap, and translate ambiguous problems into clear engineering direction. Show up to demos and reviews with the confidence to defend tradeoffs and flag risks early.

Architecture & Judgment Make architectural decisions that hold up at scale. AI can generate code — your job is to decide what gets built, how it fits together, and when to push back. Evaluate tradeoffs, review TRDs, and set the technical direction the rest of the team executes against.

Fullstack Execution Ship backend services, APIs, database schemas, and user-facing features end-to-end. Use AI-assisted tools (Cursor, Claude Code, Antigravity) to move at the speed of a small team without cutting corners on quality.

Platform & Reliability Own cloud infrastructure, CI/CD, and production systems. Define how the team monitors, debugs, and responds to incidents. If something breaks at 2am, you've already thought about it.

AI & Automation Drive AI adoption in products — LLM APIs, RAG pipelines, agentic workflows. Push for automation across client and internal workflows. Know what these tools are good at and, more importantly, where they fail.

Raising the Bar Be the judgment layer for junior engineers who are moving fast with AI tools. Review code for what matters — not style, but correctness, scalability, and whether the author actually understood what they shipped. Run knowledge-sharing sessions. Onboard people well.

Must Haves

3–5 years of professional engineering experience with production systems you've owned end-to-end.

Active user of AI IDEs (Cursor, Claude Code, Antigravity, or similar).

Demonstrated system design ability — you've made architectural decisions and can evaluate trade-offs.

Good exposure to cloud platforms and deployments.

Familiarity with observability and monitoring tools — you can track down issues and identify bottlenecks.

Deep backend proficiency: API design, databases, microservices, distributed systems, event-driven architecture, and message brokers.

Worked with at least two of REST, GraphQL, or gRPC in production.

Eye for design — you care about the experiences you build for users.

High rate of learning — you figure things out fast.

Nice to Have

Cloud architecture experience (AWS, GCP, Azure) with containerisation and orchestration.

Familiarity with AI/ML: prompt engineering, embeddings, agent frameworks (LangChain, CrewAI, LangGraph).

Experience with automation and workflow tools (n8n, Make, Zapier).

Benefits

Mentorship: Work next to some of the best engineers and designers — and be one for others.

Freedom: An environment where you get to practice your craft. No micromanagement.

Comprehensive healthcare: Healthcare for you and your family.

Growth: A tailor-made program to help you achieve your career goals.

A voice that is heard: We don't claim to know the best way of doing things. We like to listen to ideas from our team.

JOB DETAILS:

* Job Title: Regional Sales Manager (Philippines)

* Industry: SAAS Industry

* Salary: Best in Industry

* Experience: 5 -10 years

* Location: Philippines

* Work Mode: WFH

* Working Day: 5

Required Skills: Data Analysis, Analytical thinking, Proficiency in CRM tools, Cross functional collaboration, Problem Solving & Decision Making

Criteria:

Need Native Philippines candidates ONLY.

1. Candidate must be from a B2B SaaS / Hospitality Tech (Hotel Tech) background.

2. Candidate must have 5–10 years of relevant sales experience in SaaS or hospitality technology.

3. Candidate must have strong team management experience, handling BDMs and Telesales teams.

4. Candidate must have proven ownership of regional revenue targets, pipeline management, and MRR growth.

5. Candidate must have strong knowledge of the Philippines hospitality market and enterprise hotel sales.

6. Candidate should be proficient in Filipino and English (mandatory).

7. Candidate should be open to frequent travel across regions.

8. Candidate must be good with numbers, including revenue analysis, forecasting, pipeline metrics, and target tracking.

9. Candidate must have hands-on experience with CRM tools; HubSpot experience is strongly preferred.

Description

About the Role: -

We are seeking a high-performing Regional Sales Manager (RSM) to lead and scale our sales operations in Philippines.

This role is responsible for driving revenue growth, expanding market presence, managing sales teams, and ensuring customer success within the hospitality sector.

Key Responsibilities: -

1. Sales Leadership & Team Management

• Lead and manage BDMs and Telesales teams
• Ensure achievement of 100%+ monthly and quarterly targets
• Conduct weekly coaching, reviews, and performance tracking
• Oversee hiring, onboarding, and training
• Ensure 100% CRM (HubSpot) compliance

2. Revenue & Target Achievement

• Deliver regional targets across new properties, licenses, and LTV
• Drive growth in ARPA and MRR
• Maintain a 3× healthy sales pipeline

3. Customer Retention & Account Growth

• Minimize churn and maximize customer satisfaction
• Build strong relationships with hotel owners, GMs, and key decision-makers
• Collaborate with Implementation & Support teams for seamless onboarding

4. Market Expansion & Enterprise Sales

• Expand YCS presence across key regions in Philippines.
• Close enterprise and multi-property hotel group deals (5+ properties)
• Build partnerships with hotel associations and tourism bodies
• Lead events, webinars, and roadshows

5. Internal Collaboration & Operations

• Provide accurate weekly and monthly sales forecasts
• Share market insights with Product, Marketing, and Support teams
• Ensure timely reporting and compliance with internal processes.
•  

Key Competencies: -

• Sales Leadership & Team Management – Ability to lead, coach, and drive a high-performing sales team to exceed targets.
• Strategic Pipeline & Revenue Execution-– Strong skills in pipeline management, forecasting, and delivering consistent revenue growth.
• SaaS & Hospitality Market Expertise - Deep understanding of SaaS sales and the Philippines a hospitality ecosystem.
• Enterprise Sales & Negotiation – Proven capability to close multi-property deals and handle complex negotiations
• Customer Retention & Relationship Management– Strong focus on reducing churn and building long-term partnerships with key decision-makers.
•  

Key Requirements: -

• 5–10 years of experience in SaaS, B2B, or Hospitality Tech sales
• Proven experience in managing sales teams and exceeding targets
• Strong understanding of the Philippines hospitality market
• Excellent communication and negotiation skills
• Hands-on experience with CRM tools (HubSpot preferred)
• Willingness to travel across regions as required

Key Responsibilities

• Design and develop facade concepts, details, and technical drawings.
• Collaborate with architects, engineers, and contractors to ensure design integration.
• Prepare 2D/3D models, renderings, and specifications for facade systems.
• Research and recommend materials, finishes, and sustainable technologies.
• Review shop drawings, prototypes, and mock-ups for compliance with design intent.
• Provide technical support during tendering, procurement, and construction phases.

 Skills & Competencies

• Proficiency in AutoCAD, Revit.
• Strong knowledge of facade materials (glass, aluminum, stone, composites).
• Understanding of building physics and envelope performance.

Job Description

About the Role

We are seeking an experienced and hands-on Lead AI Engineer with 8-9 years of experience in developing, fine-tuning, and deploying machine learning and deep learning models, including Generative AI systems. The ideal candidate will have strong expertise in classification, anomaly detection, and time-series modeling, along with deep experience in Transformer-based architectures and modern LLM ecosystems.

This role requires technical leadership, architectural decision-making, and mentoring of AI engineers, while actively contributing to building scalable AI solutions. Expertise in model optimization, quantization, and Retrieval-Augmented Generation (RAG) pipelines is highly desirable.

Responsibilities

• Lead the design, development, and deployment of ML and deep learning models for classification, anomaly detection, forecasting, and natural language understanding tasks.
• Architect and build scalable AI and Generative AI solutions, including RAG pipelines for document search, Q&A, summarization, and enterprise knowledge systems.
• Design, train, and fine-tune deep learning models including RNNs, GRUs, LSTMs, and Transformer architectures (e.g., BERT, T5, GPT).
• Drive the fine-tuning and adaptation of large language models (LLMs) using techniques such as Supervised Fine-Tuning (SFT) and Parameter-Efficient Fine-Tuning (PEFT) methods like LoRA or QLoRA.
• Apply model optimization techniques such as quantization, pruning, and efficient inference strategies to improve latency and reduce compute and memory footprint in production systems.
• Define and implement evaluation frameworks, track model performance, monitor model drift, and drive continuous model improvement.
• Lead collaboration with data engineering, backend, platform, and DevOps teams to productionize AI solutions using scalable infrastructure and CI/CD pipelines.
• Provide technical mentorship and guidance to junior and mid-level AI engineers and contribute to best practices in ML engineering.
• Ensure clean, reproducible code, maintain experiment tracking, documentation, and version control of models and datasets.
• Stay up to date with the latest advancements in LLMs, Generative AI, and AI infrastructure, and help drive adoption of new technologies.

Required Skills & Qualifications

• 8-9 years of hands-on experience in machine learning, deep learning, or data science roles.
• Strong programming expertise in Python and ML/DL libraries such as scikit-learn, pandas, PyTorch, and TensorFlow.
• Deep understanding of machine learning algorithms, deep learning architectures, and sequence/NLP modeling techniques.
• Extensive experience with Transformer models and open-source LLM ecosystems (e.g., Hugging Face Transformers).
• Hands-on experience building Generative AI applications and RAG-based systems using frameworks such as LangChain or LlamaIndex.
• Experience with model optimization and quantization techniques (dynamic/static quantization, INT8, etc.) for efficient inference.
• Strong understanding of embeddings, vector databases, and retrieval systems (e.g., FAISS, Pinecone, Azure AI Search).
• Experience with model evaluation, monitoring, and performance optimization in production environments.
• Familiarity with containerization (Docker), experiment tracking (MLflow), and CI/CD pipelines.
• Proven ability to lead technical initiatives and mentor engineering teams.

Preferred Qualifications

• Experience fine-tuning LLMs using SFT, LoRA, or QLoRA on domain-specific datasets.
• Exposure to MLOps platforms such as SageMaker, Vertex AI, or Kubeflow.
• Experience with distributed data processing frameworks like Spark and workflow orchestration tools such as Airflow.
• Contributions to research papers, technical blogs, patents, or open-source projects in ML, NLP, or Generative AI.
• Experience designing enterprise-scale AI platforms or AI-powered products.

Build AI Systems That Change How Industries Operate

Tailored AI is not just another tech company. We’re building the McKinsey of AI systems a new kind of firm, made up of engineers who understand business deeply and use AI as a force multiplier.

As an SDE 2, you’ll lead and own the engineering for an entire product track, often working directly with clients and stakeholders. You’ll be the architect, the executor, and the problem-solver-in-chief. You’ll take vague problem statements, turn them into elegant solutions, and bring them to life in production.

What You’ll Do

• Architect and build AI-powered software solutions from scratch
• Own a full engineering track—backend, infra, integrations, and LLM workflows
• Interface with customers to align on specs, iterate fast, and deploy with confidence
• Mentor SDE 1s and Interns, conduct code reviews, and guide engineering quality
• Stay on top of AI trends, contribute to internal tooling and shared best practices

What You’ll Gain

• Leadership opportunties and fast progression to Senior SDE roles
• Deep knowledge of how AI is transforming industries while actually building it
• High ownership, zero bureaucracy, and direct influence on product direction
• Exposure to multi-agent AI systems, enterprise integrations, and scalable infra

Who You Are

• 2–3 years of strong backend engineering experience
• Proven track record of owning software modules and delivering in production
• Skilled in Python, Django/FastAPI, Postgres, AWS
• Exposure to system design and performance optimization
• Interest in AI tools like Langchain, OpenAI, vector DBs, etc.
• Strong analytical and communication skills

Tech Stack You’ll Work With

• Python, Django, FastAPI
• Postgres, Redis, S3
• EC2, Lambda, Cloudwatch
• Langchain, LLM APIs, Vector DBs
• REST APIs, Microservices, GitHub Actions

Some Real Problems You Might Work On

• Building a multi-agent career coaching assistant that guides users and automates job hunting
• Deploying a chatbot that generates employee performance reviews on-demand from HR data
• Designing an LLM pipeline to help Indian lawyers access precedents, statutes, and case law in seconds

Interview Process

1. Screening – A quick call with a Co-Founder to align on fit
2. CV + Puzzle + Programming – 1 hour round to gauge problem-solving and fundamentals
3. Live Coding – Solve a coding task using Python + docs
4. System Design – For SDE 2, a take-home problem and a detailed discussion round

REQUIRED CITIZENSHIP / WORK PERMIT / VISA STATUS:
Should be currently based in Japan with Valid work visa

MUST HAVES:

• * Mandatory Skills - Mainframe, Cobol, JCL ,DB2
• * Should have working knowledge on at least one database – MS SQL server, Oracle, DB2, PostgreSQL, MongoDB, Firebird SQL diagnose
• * Language Skills - JLTP N3 would be fine if the

Requirements:

• · Graduate with 6+ years of experience in Mainframe based applications development, maintenance & run mode operations.
• · Ability to collaborate with a diversity of customer's teams to address important issues and to resolve them.
• · Experienced in collaborating with internal and external stakeholders, adaption and learning of the business processes.
• · Should have experience working with Mainframe, Cobol, JCL ,DB2.
• · Working knowledge on at least one database – MS SQL server, Oracle, DB2, PostgreSQL, MongoDB, Firebird SQL diagnose, troubleshoot and fix complex issues.

Only Japan based candidates with relevant experience can apply.